The DataWeave Blog

Category: Promotion

Bridging the Gap: How Digital Shelf Analytics Empowers Marketing Mix Modelling for Smarter Brand Decisions
Marketing Mix Modeling (MMM) has been a cornerstone of marketing analytics for decades: first as a service offered by large consultancies like Nielsen and IRI, and later as software solutions from NielsenIQ and Ekimetrics. By 2024, some 64% of senior marketing leaders had already adopted and used MMM solutions.

However, despite this widespread adoption, MMM faces significant limitations in our fast-moving digital marketplace. According to Gartner, opaque pricing models and siloed data integration remain substantial barriers to actionable insights from these tools. Most critically, traditional MMM often misses vital variables influencing consumer behavior, such as:
- Competitor price drops and promotions
- Product availability issues and stockouts
- Negative review trends and sentiment shifts
- Search ranking fluctuations
These blind spots must be addressed to unlock the full value of MMM investments and make truly informed marketing decisions.

The Critical Data Gap In Traditional MMM

Traditional MMM solutions expose brands to considerable risk, especially in the CPG and retail space. The fundamental challenge lies in MMM’s reliance on lagging indicators for essential metrics like historical sales and ad spend. Data inputs may be months or quarters old before they’re used for scenario analysis.

That’s like making million-dollar marketing decisions while only looking in the rearview mirror when you need to watch the road ahead simultaneously.

MMM tools also typically overlook external market factors that can dramatically impact performance. In today’s retail landscape, where market conditions change rapidly, being blind to real-time competitive dynamics creates significant vulnerability. Key external factors that traditional MMMs fail to capture include:
- Competitor moves: Price changes, promotions, content updates
- Consumer sentiment: Review trends, ratings, social engagement
- Market dynamics: Stockouts, search ranking shifts, category growth
How Digital Shelf Analytics Completes The Picture

This is where Digital Shelf Analytics (DSA) plays a crucial complementary role. Brands and retailers leveraging DSA gain insights into real-time market dynamics that MMM alone cannot provide. However, brands using DSA in isolation often struggle to quantify how digital shelf improvements directly impact revenue. Answering questions like “Did better product content drive sales, or was it the influencer campaign?” remains challenging.

Bridging these disconnected platforms requires intentional integration and a DSA platform that can feed intensively cleaned and organized data into existing MMM platforms. With the right data inputs, companies establish a powerful feedback loop for agile, data-driven decisions.

A comprehensive DSA solution like DataWeave provides granular, actionable data on critical external variables such as:
- Daily or weekly competitor pricing movements and promotional activity
- Product content standardization and optimization across retailers
- Review sentiment trends and potential reputation issues
- Share of search/shelf performance relative to competitors
When merged with established MMM capabilities, DSA creates a complete picture that fills the blind spots holding marketing teams back from maximizing ROI.

The DSA + MMM Advantage in Retail Media

The popularity of retail media networks has further amplified the need for integrated DSA and MMM approaches. These advertising platforms, operated by retailers, allow brands to display targeted ads to shoppers across digital properties based on first-party customer data and purchase insights.

The retail media revolution has transformed e-commerce pages into sophisticated search engines for product discovery. This evolution has been so impactful that retail media ad revenue surged 16.3% in 2023, reaching $43.7B in the U.S., with continued growth projected.

Major platforms like Walmart have expanded their retail media networks to capitalize on closed-loop attribution. Since retailers own the entire customer journey, they can track everything from ad impression to purchase on their e-commerce sites. This creates a significant advantage through accurate ROI measurement, unlike traditional advertising where attribution remains challenging.

How DSA Enhances Retail Media Optimization

With retail media emerging as a top-performing sales channel, brands need sophisticated optimization strategies. Every brand wants to maximize visibility and performance across individual eCommerce sites, just as they optimize for Google or emerging AI platforms.

Integrating digital shelf analytics into marketing mix models enables brands to:
- Allocate ad spend more intelligently using real-time competitive insights
- Identify timely campaign activation opportunities in response to market changes
- Monitor organic ranking trends to strategically time paid promotional activities
- Measure true campaign impact on digital shelf performance metrics
For example, when a competitor launches an aggressive price drop in your category, DSA provides visibility into this change. This intelligence can trigger recommended campaign adjustments, such as increased sponsored ad bidding in affected categories. Traditional MMM alone cannot deliver this level of responsive optimization.

How to Integrate DSA into MMM: A 3-Step Framework

Here’s how to integrate your Digital Shelf Analytics into your Marketing Mix Models to start making better data-driven decisions for your brand.

Step 1: Map DSA Variables to MMM Inputs

Begin by mapping specific DSA variables to your static MMM inputs. Ensure that competitors are properly configured for monitoring in your DSA platform and that metrics like price changes and search ranking positions are linked with your MMM’s models.

This integration is crucial because traditional MMM models rely exclusively on historical data for forecasting. Adding real-time inputs delivers several benefits:
- More accurate elasticity curves reflecting current market conditions
- Better understanding of root causes behind demand shifts
- Prevention of misattributing sales changes to your marketing activities when external factors may be responsible
At DataWeave, our comprehensive coverage spans 500+ billion data points, 400,000 brands, and 1,500+ websites, ensuring brands never miss a competitor move and maintain complete visibility across the connected e-commerce landscape.

Step 2: Feed High-Quality DSA Data into MMM Platforms

Next, integrate critical digital shelf metrics into your MMM framework:
- Review and sentiment scores and trends
- Content quality measurements
- Competitive positioning data
- Price gap analytics
- Search ranking performance
DataWeave employs a rigorous data accuracy validation process to ensure teams work with the cleanest, most reliable data possible. Our sophisticated processing pipeline removes anomalies and standardizes information across retailers, providing the consistent, high-integrity data foundation that robust marketing mix modeling demands.

Step 3: Validate and Iterate

A powerful DSA solution helps measure whether your marketing efforts achieved their intended impact on the digital shelf. Use your DSA platform to assess campaigns’ actual effect on key performance indicators:
- Do promo-driven sales lifts correlate with improved search rankings?
- How do content improvements impact conversion rates?
- What is the relationship between paid media and organic visibility?
DataWeave enables users to correlate metrics across the entire consumer journey, from awareness through post-purchase. Rather than focusing solely on short-term spikes, brands can measure lasting impacts on digital shelf health. This end-to-end visibility empowers teams to make increasingly informed decisions with each campaign cycle.

Executive Decision Support in Uncertain Times

It is no surprise to anyone that we are living through volatile times. Executives may be uncomfortable if they cannot provide their teams with strategic direction based on data or the tools they need to accelerate their workdays.

By integrating DSA with MMM, companies gain early warning signals about market shifts, enabling smarter resource allocation during budget constraints. This integration helps organizations move from tactical execution to strategic direction by:
- Providing cross-channel impact analysis to understand the full marketing ecosystem
- Equipping category managers with tactical optimization tools that support broader strategic objectives
- Identifying competitive threats before they impact sales
- Forecasting potential ROI impacts across various spending scenarios
These capabilities help prevent wasted ad spend, missed opportunities, and lost sales.

Future-Proofing with DSA-Driven MMM

Several emerging trends highlight the growing importance of DSA-enhanced marketing mix modeling:
- Trend 1: Navigating Economic Volatility – Brands can use DSA to track how competitors adjust pricing in response to cost shocks like tariffs and inflation. This real-time intelligence directly improves MMM’s inflation modeling accuracy.
- Trend 2: AI-Powered Predictive Insights – Combining DSA trend detection (such as viral product reviews or sudden inventory fluctuations) with MMM helps forecast demand spikes from otherwise unforeseen events.
- Trend 3: Automated Optimization – Smart campaign activations and adjustments based on real-time DSA triggers drive efficiency. DataWeave’s vision includes an automated retail media intelligence layer that optimizes spend across channels based on integrated insights.
DataWeave’s Unique Advantage

At DataWeave, we’ve seen our digital shelf analytics customers significantly improve their organic search rankings because of better-sponsored ad campaigns. What makes our approach to DSA-MMM integration uniquely powerful? Our platform is specifically designed to address the challenges of modern marketing mix modeling:
- Superior data refresh rates ensure timely insights when they matter most
- Unmatched marketplace coverage across more than 1,500 eCommerce sites globally
- Advanced data normalization that standardizes metrics across disparate categories and retailers
- API-first architecture enabling flexible data access and utilization
Conclusion – From Hindsight to Foresight

In the past, companies relied primarily on historical data for their marketing mix models. Today’s market leaders are incorporating digital shelf analytics to unlock superior insights, improve decision accuracy, and drive measurable ROI.

DataWeave serves as the essential bridge between MMM systems and real-time, comprehensive market intelligence. When DSA and MMM work together, brands gain a complete picture: MMM shows precisely what happened, while DSA explains why it happened—and together, they reveal what’s coming next.

Ready to transform your marketing mix modeling from hindsight to foresight? Contact us today to discover how our Digital Shelf Analytics can enhance your existing MMM investments and drive measurable business results.
April 30, 2025
Black Friday 2024 in Canada: Insights on Consumer Electronics and Home & Furniture
Black Friday and Cyber Monday are major retail events in Canada, with 43% and 29% of the population making purchases during these sales respectively, according to a YouGov report. Consumer electronics continue to lead the Canadian retail market during these events, with 55% of surveyed shoppers choosing to buy tech products on Black Friday. Household appliances come in second, with 25% of shoppers opting for these items, while 18% prefer to shop for furniture deals.

These statistics highlight the importance of delivering value during the Thanksgiving sales week. Retailers must cater to shoppers’ expectations with competitive pricing, attractive deals, and a seamless shopping experience. So, what unique offerings did Canadian retailers present to shoppers this season?

To understand the pricing and discount dynamics during BFCM 2024 in Canada, DataWeave analyzed discounts across leading consumer electronics and home & furniture retailers. Using our AI-powered pricing intelligence platform, we analyzed 37,108 SKUs across these categories for major retailers including Amazon, Walmart, Best Buy, Home Depot, and Canadian Tire from the 10th to 29th November. We focused on the top 500 products ranked for each search keyword on each retail site, using targeted terms aligned with categories like “sofa” and “wearables”.

In the following insights, the Absolute Discount represents the reduction of the selling price compared to the Manufacturer’s Suggested Retail Price (MSRP). The Additional Discount reflects how much lower the selling price is during Black Friday compared to its price a week before the sale. This metric reveals the actual or effective value of the sale event, beyond the standard discounts typically offered.

Also check out our detailed analysis of discounts and pricing for the consumer electronics, apparel, health & beauty, grocery, and home & furniture categories across major US retailers this Black Friday.

Consumer Electronics

Retailers in Focus

Consumer electronics saw robust participation from major retailers, with Amazon, Best Buy, and Walmart leading the charge. Here’s how they stacked up in terms of discounts:
- Best Buy emerged as the frontrunner in absolute discounts at 31.2%, while Amazon impressed with a notable 19.7% additional discount, indicating a strong Black Friday-specific markdown strategy.
- Walmart offered steady competition, particularly in audio and video products, which reached an average absolute discount of 37.2%. However, it’s average additional discount was only 3.1%, indicating muted BFCM-specific price reductions in this category.
Subcategory Insights

Diving deeper into consumer electronics subcategories, we observed varied discounting strategies.
- Audio & Video stood out as the most discounted subcategory, with Walmart leading at 37.2%.
- In Wearables, Walmart again took the top spot with 36.4%, while Amazon offered higher additional discounts (22.4%).
- Discounting for computers and gaming was less aggressive, highlighting strategic pricing to maintain profitability in these high-demand segments.
Brand Performance

Brand-level data highlighted how key players used Black Friday to drive visibility and sales.
- Dell led in average absolute discounts (36.7%) followed by Samsung at 36.68%
- Audio brand JBL offered significant absolute discounts at 35.9%.
- Apple and Lenovo offered comparatively fewer discounts but maintained strong visibility, as seen in their increase in the Share of Search during the sale period.
- MSI (laptop brand) and Bose (audio and earphone brand) experienced significant increases in visibility, with Share of Search increases of 5% and 3.6%, respectively.
- Notably, HP faced a decline (-3.2%) in the Share of Search, suggesting missed opportunities to align promotions with consumer interest.
Home & Furniture

Retailers in Focus

The home and furniture category saw competitive discounting, with Walmart, Canadian Tire, and Home Depot vying for consumer attention.
- Walmart took the lead with the highest absolute discounts at 36.8%. The retailer’s additional discounts were more conservative at 3.6%. This is similar to their discount levels in Consumer Electronics.
- Canadian Tire offered stiff competition, providing 31.6% absolute discounts and 25% additional discounts.
- Home Depot matched its absolute and additional discounts, maintaining consistency at 24.1%.
Subcategory Insights

Home and furniture subcategories revealed targeted discount strategies.
- Bedding emerged as the most discounted subcategory at Walmart (50.6%) and Canadian Tire (35.3%).
- Kitchenware saw competitive pricing, with Walmart leading at 42.9%, followed by Canadian Tire at 33.9%.
- Canadian Tire focused on lighting, offering the highest absolute discounts in this subcategory (38.2%)
Brand Performance

Brand-level analysis revealed stark contrasts in discounting approaches.
- Furniture brands Homcom led in absolute discounts (36.4%), while South Shore stood out with the highest additional discounts (30.2%).
- Value-oriented brands like furnishings brand Mainstays and mattress and bedding brand Zinus offered more modest discounts, focusing on consistent affordability.
- Zinus (mattresses and sofa brand) experienced a significant 7.9% increase in the Share of Search, driven by aggressive promotions.
- Home furnishings brands like Costway and Safavieh faced declines, reflecting the importance of aligning promotional strategies with consumer expectations.
Insights for Retailers and Brands

This Black Friday, Canadian retailers effectively balanced deep discounts with category-specific strategies to maximize sales. However, the fluctuating Share of Search highlights the critical need for brands to align promotions with consumer interest.

For brands and retailers looking to stay ahead of the competition, DataWeave’s pricing intelligence platform offers unparalleled insights to refine discounting strategies and boost visibility. Contact us to learn how we can help you stay competitive in this dynamic retail landscape.
December 18, 2024
Early Black Friday Deals Analyzed: How Top Retailers Stack Up on Discounts
Black Friday, once confined to a single weekend, has evolved into a shopping season that now stretches well before Thanksgiving. With inflation hovering around 3% and consumer confidence showing signs of recovery, retailers are adapting their promotional calendars to capture early-bird shoppers and maintain a competitive edge.

Major retailers, including Amazon, Walmart, Target, and Best Buy, have capitalized on this trend by launching promotions weeks in advance, signaling the traditional holiday rush is now a month-long event. At DataWeave, we put these deals under a microscope.

Our Methodology

Using DataWeave’s advanced, AI-powered pricing intelligence platform, we tracked early Black Friday deals across Consumer Electronics, Home & Furniture, Health & Beauty, and Apparel categories. We monitored dedicated Black Friday deal pages on Amazon, Walmart, Target, Best Buy, Nordstrom, Neiman Marcus, and Sephora to gather and analyze discount data a week prior to Black Friday weekend.

Who’s Offering the Best Deals Across Categories?

Our pre- Black Friday analysis reveals a clear pattern of premium brands offering deeper discounts across categories ahead of the holiday. Here are some key findings around retail players:
- Walmart emerges as the most aggressive discounter across categories, leading in Health & Beauty (57.07%), Apparel (48.97%), and Consumer Electronics (43.35%).
- Amazon maintains consistent but lower discounts (28-29%) across categories, suggesting potential deeper cuts ahead.
- Best Buy and Sephora, both category specialists, play it conservative compared to mass retail players.
Let’s look at each category more closely to get a detailed snapshot of the deals this Thanksgiving week:

Health & Beauty

Our analysis reveals that it’s not electronics, but the health & beauty category that leads with the widest discount range pre Black Friday, making it the category to watch out for.
- Walmart takes the lead with an aggressive 57.1% average discount in this category, capitalizing on its value-oriented reputation.
- Beauty specialist Sephora holds modest beauty discounts (32.81%) compared to other retailers.
- Amazon offers the broadest range of SKUs (571) in the category.
Among the health & beauty brands we analyzed, cosmetics brand Tarte and viral K-Beauty skincare brand COSRX stand out with discounts above 40%, appealing to cost-conscious beauty enthusiasts.

Consumer Electronics

Our pre- Black Friday analysis reveals interesting insights about consumer electronics deals this season.
- Walmart, once again, emerges as the frontrunner in the category with 43.4% average discounts.
- Best Buy plays it conservative in electronics (30.75%), despite being a category specialist, but offers the most extensive SKU coverage (3030).
- Amazon’s consistent 29.7% discount across 1,749 SKUs suggests they’re probably holding back their best deals for Prime members during Black Friday.
Brand-specific data for the category reveals significant deals on Speck (48.07%) and smart TV brand Insignia (39.22%), making accessories and mid-tier electronics attractive for early shoppers. Core computing (HP at 32.14%) and electronics brands maintain more conservative discounts. It remains to be seen if this changes on Black Friday or Cyber Monday.

Apparel

Our analysis of the apparel category reveals several highlights:
- In the apparel category too, Walmart dominates with an impressive 49% average discount, effectively targeting price-sensitive shoppers in the fashion segment.
- Nordstrom and Neiman Marcus, both known for apparel, offer significant discounts at 43.2% and 37.8% respectively.
- Amazon’s expansive SKU coverage (1344) is countered by a modest 29.5% discount, showing its focus on variety over depth of discounts.
Premium fashion brands dominate the highest discounts this Black Friday in the apparel category. Vince Camuto leads with over 45.1% average discount. Notably, Levi and Nike’s aggressive 44.43% and 43.50% discounts suggests significant inventory positions or intent to capture market share.

Home & Furniture

Our analysis reveals an interesting trend across the category.
- In the home & furniture category too, Walmart leads at 41.8% average discounts. Target follows closely, but with significantly lesser SKUs on offer.
- Amazon’s 28.1% discount, though the lowest among major players, spans a substantial 1,982 SKUs, reinforcing its position as a marketplace for diverse needs.
Top 3 Products With the Highest Discounts Across Retailers

To provide a clearer picture of the early Black Friday landscape, we analyzed the top 3 products with the most substantial discounts in consumer electronics and health & beauty categories. These insights highlight how retailers are leveraging strategic discounts on high-value items to attract early shoppers.

Top Discounted Products in Consumer Electronics

Premium TVs dominate the discount scene, with LG’s 83″ OLED offering up to 44.5% off on Amazon, closely followed by a 44.4% discount on Best Buy, showcasing aggressive competition. The same product has much lower discounting on Walmart, but notably, the product is retailed at $3999.9, at least $1000 less than other retailers, highlighting Walmart’s commitment to offering lowest prices.

Gaming consoles, like the PlayStation 5 Slim Bundle, show moderate discounts (ranging from 15% on Walmart and Target to 25% at Best Buy), appealing to tech-savvy shoppers.

Notable competition is evident in price matching across major retailers, particularly in TVs and high-value electronics like the Nikon Z 8 camera, where Walmart offers the deepest discount at 13.75%, edging past Amazon and Best Buy.

Top Discounted Products in Health & Beauty

Viral skincare staples like Tatcha’s Water Cream show tight discounting consistency, with Walmart offering 19.47% off compared to Amazon’s 20% and Sephora’s 20.83%.

Trending haircare brand Olaplex displays greater disparity, with Walmart leading with a 33.33% discount, surpassing Amazon and Sephora. Luxury brand, Yves Saint Laurent’s Satin Lipstick is one of the highest discounted items across retailers.

Looking Ahead

Our analysis suggests that while some early deals offer genuine value, particularly in premium beauty and high-end electronics, many retailers might be holding their best discounts for Black Friday.

For shoppers, the key is being selective: jump on premium brand discounts now (since they’re likely to remain the same though the weekend), but wait on mid-range electronics and home goods where better deals are likely to emerge on Black Friday or Cyber Monday.

For retailers, the imperative is clear: dynamic pricing intelligence is crucial for maintaining a competitive edge while protecting margins. Competitive insights will be critical as the holiday season progresses to balance market share against profitability.

Stay tuned for our Black Friday Cyber Monday analysis next week, where we’ll track how these early discounts compare to the main event’s deals!
November 28, 2024
A Guide to Digital Shelf Metrics for Consumer Brands
Our world is increasingly going online. We work online, socialize online, and shop online every day. As a consumer brand, you need to ensure complete awareness of your brand’s online presence across eCommerce platforms, search engines, and media.

Only by deeply understanding the customer journey can you ensure that your product is reaching your ideal customers and maximizing your brand’s market share. You need data to intrinsically understand your customer journey and make changes where you’re lacking.

As the old adage goes: ‘You can’t manage what you don’t measure.’

You need digital shelf metrics to measure and start benchmarking your buyer’s journey. To find several of these types of key performance indicators (KPIs), you need a digital shelf analytics solution. These platforms allow you to track various metrics along the path to purchase from the awareness stage to the post-purchase phase across the entire internet, helping to inform online and offline sales strategies.

Digital shelf analytics will help you gain insights into how your brand is doing versus the competition, which areas are lagging behind in historical performance, and what activities are driving sales. There are innumerable ways in which you can leverage these valuable insights. But how do you know which KPIs to start tracking with your digital shelf analytics solution?

Here, we’ve summarized the top metric types your peers report, track and base their decisions on.

With these KPIs in hand, consumer brands like yours can ensure that their products are consistently visible and appealing to their target audience across online marketplaces, ultimately enhancing conversion rates, market share, and profitability.

Read this guide to learn more about the top digital shelf metrics consumer brands are tracking and how to use them in your own strategy.

1. Share of Search

Share of Search (SoS) is a KPI in digital shelf analytics that measures how frequently a consumer brand’s products appear in search results on eCommerce platforms relative to the competition for specific keywords. A good digital shelf analytics solution will be able to show this metric across all the top marketplaces and retailers, such as Amazon and Walmart, but also more niche marketplaces for industry-specific selling.

This metric provides brands with a quantifiable way to measure how frequently their products are being “served up” to customers on online marketplaces. Essentially, it measures visibility and discoverability.

With Share of Search on DataWeave, you can slice and dice your data in innumerable ways. These are a few important views you can see:
- Aggregated SoS
- Organic and Sponsored SoS scores
- SoS scores across brands, retailers, keywords, cities
- Historical SoS score trends
Once you have benchmarked your SoS and category presence relative to your competition, you need to start interpreting the data. Here are some questions you can ask yourself to help interpret your findings:
- Which of my key categories have the lowest SoS score?
- Which products feature low on search results because they are out of stock?
- Are my competitors’ products faring better due to sponsored searches?
- Is my SoS low due to poor content quality?
With insights in hand, you will know which actions to take to drive the biggest impact. For example, you could increase sponsored search results or improve organic reach by optimizing product pages.

Understanding your SoS is essential to maximizing the awareness phase of your customer journey. It will help you improve your brand visibility and increase product conversions through better search and category presence.

2. Share of Media

Share of Media (SoM) is a KPI that is just as impactful, if not more so, than the SoS metric. However, only a limited number of brands track it or use it to drive strategic action. This makes it a perfect opportunity for brands looking to get an edge on the competition.

But what is SoM in digital shelf analytics? Essentially, it’s a way of measuring retail media advertising activities like brand-sponsored banners, listings, videos, ads, and promotions that sometimes blend into search results. The main types of retail media advertising exist in two categories: banner advertising and sponsored listings.

Banner advertising involves strategically placing designed banners within websites and search listings. These banners raise brand awareness and drive traffic to online storefronts.

Sponsored listings are paid placements within search results on search engines or eCommerce platforms. They are prioritized based on the total bid amount and the product’s relevance. These paid listings are marked with “sponsored” or “ad.”

It’s important to run these types of advertising campaigns on eCommerce platforms to gain customer visibility. In fact, “some 57% of US consumers started their online shopping searches on Amazon as of Q2 2023.” If you aren’t showing up, paying for placement can help.

These listings serve to enhance your brand’s overall visibility, help you gain more precise reach, increase conversions, and drive better brand awareness and recall with your customers.

These efforts aren’t free, however, so measuring their effectiveness is critical not only to gain all the listed benefits but to also not waste your valuable marketing budget. The SoM KPI can help a consumer brand answer questions like:
- Where are the opportunities to increase paid ads?
- Which categories could benefit from a promotional boost or a strategic and streamlined allocation of ad spend?
- Which of my competitors have active banners and what is their share of media by keyword?
- How has my ad spend trended historically in comparison to my competitor?
DataWeave’s digital shelf analytics (DSA) is among the first providers to offer Share of Media KPI tracking and analysis. This is because it requires advanced, multi-modal AI to gather, view, and aggregate listings that encompass text, images, and video. With Share of Media tracking facilitated by DataWeave, consumer brands can track and analyze the effectiveness of their own promotional investments as well as those of their competitors.

3. Content Quality

The content quality metric measures how well your product content adheres to the retailer’s specific guidelines, which are in place to steer traffic and sales on their sites.

With the help of a DSA platform’s AI and ML capabilities, you can measure different elements of your product detail pages (PDPs), such as titles, descriptions, images, videos, and even customer reviews. You need to know which elements are missing, where they are missing, and which ones are negatively affecting sales so you can take corrective action.

Did you know that the average cart abandonment rate is 69.99%? The quality of your content can significantly impact this number. Ensuring that your content is high-quality will help influence product discoverability, customer engagement, and conversion rates. It will also help position you ahead of the competition. If your content quality is poor, you may find yourself with lower search rankings, a higher return rate, and more abandoned carts.

Here are some questions you can answer with the help of the content quality digital shelf metric:
- Is my product content at a retail site exactly what was syndicated?
- Are there any retailer initiated changes to my product content?
- Are my product content updates reflected on the retailer platforms?
- How well does my product content comply with the retailer guidelines?
- How do I optimize my product content for enhanced discoverability and conversion?
DataWeave’s content quality digital shelf analysis helps consumer brands ensure that product content on eCommerce platforms is high-quality and benchmark their product listings against the competition. It does this through a combination of AI-driven quality analysis and by presenting brands with actionable recommendations. These optimized suggestions are based on the top-performing products so you can focus your valuable time on the areas that will drive the biggest impact.

4. Pricing & Promotions

Your customers can easily shop around to find the best price for the product you’re selling. If your competitor is selling it cheaper, you’ll lose that sale.

That’s why it’s essential to understand the pricing and promotional landscape for each of your products and categories. This can be a challenge, especially if it’s a common product or comes in multiple pack sizes or variants.

It’s equally important to track pricing and promotions even at individual, physical stores. Doing so will allow you to remain competitive and responsive to local market dynamics by tailoring your pricing strategies based on regional competition. You don’t want your products to be overpriced (lost sales) or underpriced (lost profit) in specific markets.

Harmonizing insights when operating an omnichannel consumer brand is extremely difficult without the aid of a digital shelf analytics solution. Insights need to be aggregated between desktop sites, mobile sites, and mobile applications, as well as from physical storefronts.

Questions you can answer with the help of the pricing & promotions digital shelf metric include:
- How do my product prices and promotions compare to my competitors?
- How consistent is my product pricing across retail websites?
- How does my product pricing vary across regions, ZIPs, and stores?
- How do price changes influence my sales numbers?
- Are there regional differences in pricing and promotion effectiveness?
DataWeave’s digital shelf analytics platform stands out with its sophisticated location-aware capabilities, which enable the aggregation and analysis of localized pricing and promotions. The platform defines locations based on a range of identifiers, such as latitudes and longitudes, regions, states, ZIP codes, or specific store numbers.

The platform can also extract promotional information, such as credit card-based or volume-based promotions. You can see variances across retailers, split by price groups, brands, and competitors. DataWeave specializes in enabling brands to conduct in-depth analyses across a wide array of attributes so you can answer just about any pricing or promotional question you have.

5. Availability

The availability KPI in digital shelf analytics measures the in-stock and availability rates for a brand’s products across eCommerce and physical locations. Similar to the pricing and promotions metric, it relies heavily on location awareness, down to individual stores. Measuring both online availability and offline in-stock rates will help you understand the big picture and take more informed replenishment action.

When you start leveraging the availability KPI with the help of digital shelf analytics, you can improve inventory management, boost product discoverability, increase the frequency with which your online product listings convert, and generally drive more sales. This KPI is essential for ensuring your customers can always find and buy the products they want.

With the availability KPI, you can start answering questions like:
- What is my overall in-stock rate?
- Which of my products frequently go out of stock?
- How does product availability vary across different regions and stores?
- What is the impact of availability on my conversion rates?
- Are there any seasonal trends in product availability that I need to address?
- How quickly are we resolving stockout issues across different locations?
- What are my biggest opportunities to reduce stockouts?
DataWeave enables consumer brands to track their product availability metric through automated data collection from various eCommerce platforms in conjunction with physical in-stock rates. The platform provides granular, store-level insights so you can understand regional stock variations and optimize inventory distribution. By tracking historical availability data, you can identify seasonal patterns and predict future demand to pre-empt stockout issues. All of this can be configured with automatic notifications to alert you when there has been a stockout event or when a low stock threshold has been passed, facilitating timely replenishment.

6. Ratings & Reviews

The final KPI in our guide is the ratings & reviews digital shelf metric. Consumers rely heavily on genuine feedback from their peers and refer to star ratings, posted comments, and uploaded pictures to inform their buying decisions. This KPI analyzes the impact of customer feedback and reviews on your products’ performance across eCommerce platforms so you can measure overall brand perception and isolate areas of opportunity.

This metric does something other digital shelf metrics don’t; it can inform your product strategy. It can help you identify repeat complaints that your product team can address with the manufacturer or use for the design of future products.

Some questions you can answer with this powerful KPI include:
- What is the overall customer sentiment towards my products based on ratings and reviews?
- Which product features are frequently mentioned positively or negatively by customers?
- How do my product ratings and reviews compare to those of my competitors?
- Are there common issues or complaints that need to be addressed to improve customer satisfaction?
- Which products have the highest and lowest ratings, and why?
With DataWeave’s digital ratings and reviews feature, you can keep a pulse on customer sentiment to take short-term action as well as decide long-term strategy. You can leverage reviews to influence product perception, refine products, and enhance overall customer satisfaction.

DataWeave’s Digital Shelf Metrics

Each one of these metrics is interconnected and collectively influences a brand’s success. For instance, improving content quality and earning higher ratings can significantly enhance your product’s visibility in search results, thereby boosting the Share of Search digital shelf metric. By focusing on a comprehensive approach that integrates these metrics, brands can ensure their products are consistently visible, competitively priced, well-reviewed, and readily available.

DataWeave gives consumer brands the means to execute a holistic digital shelf strategy. From a single portal, track and improve digital shelf metrics like Share of Search, Share of Media, Pricing and promotions, Availability, and Ratings and Reviews.

Our solutions help audit and optimize the most critical KPIs that drive sales and market share for brands so you can stay competitive in a dynamic digital landscape and foster long-term customer satisfaction.

Ready to get started? Schedule a call with a specialist to see how it can work for your brand.
August 21, 2024
Amazon US Prime Day 2023: Insights on Pricing and Discounts Across Popular Categories and Brands
Amazon’s Prime Day this year proved to be a record-breaking success, becoming the largest Prime Day event in the company’s history. Over the two-day extravaganza, shoppers in the US spent a staggering $12.7 billion, a 6.1% increase from the previous year. Amid inflationary pressures and supply chain disruptions, Amazon adopted a bold discounting strategy, offering steeper discounts compared to Prime Day 2022.

An interesting aspect of Amazon’s approach is their loyalty based offerings. In the weeks leading to Prime Day on July 11-12, members of the loyalty program were given access to “invite-only deals” where shoppers could request invites to specific products that they were looking to purchase on deals. Overall, Amazon’s pricing and discount strategies during Prime Day were carefully designed to create a buzz among shoppers, generate increased sales, and maintain a competitive advantage in the market.

While Prime Day is Amazon’s showstopper, it’s interesting to also see how other leading retailers respond to such a massive sale by their biggest competitor. Do they also lower their prices during the event, or are they happy to take a backseat? To answer these questions, we leveraged our proprietary data aggregation and analysis platform to analyze the prices and discounts of Amazon and its leading competitors across key product categories – Apparel, Home & Furniture, Consumer Electronics, and Health & Beauty – during Prime Day.

Since products on Amazon and other eCommerce websites are often sold at discounts even on normal days not linked to a sale event, we delved into the real value that Prime Day offers to shoppers by focusing on price reductions or additional discounts during the sale compared to the week before. As a result, our approach highlights the genuine benefits of the event for shoppers who count on lower prices during the sale.

Research & Methodology

For our analysis, we tracked the prices of a large number of products across several leading retailers during Prime Day as well as the week prior to the event. The details of our sample are mentioned below:
- Number of SKUs: 110,000+
- Websites: Amazon, Walmart, Target, Overstock, The Home Depot, Wayfair, Ulta Beauty, Sephora
- Categories: Apparel, Home & Furniture, Electronics, Health & Beauty
- Pre-event Analysis: 4-10 July 2023
- Prime Day Analysis: 11-12 July 2023
Our Key Findings

Our data reveals that Amazon’s price reductions were most aggressive in the Consumer Electronics category, with an average price reduction of 10.4% on Prime Day, due to the category’s popularity and high demand.

The Health & Beauty (6.7%), Apparel (5.9%), and Home & Furniture (4.8%) categories offered relatively modest deals during the sale event.

Below, we delve deeper into our analysis of each category to better understand how price reductions were distributed across key subcategories on Amazon as well as the discounting strategies of Amazon’s leading competitors.

Apparel

As Amazon grappled with surplus inventory, heightened storage costs, and reduced profit margins in apparel (like most other retailers), its average discount before Prime Day was already as high as 13.3%. Then, on Prime Day, Amazon’s apparel deals were tempered at around 5.9% across an impressive 33.1% of its assortment, while Target and Walmart chose not to compete in a meaningful way.

Unlike Prime Day 2022, when Target competed with Amazon with high discounts, the retailer offered only 0.8% additional discount across 4.4% of its assortment in this category. Walmart, too, reduced its prices by only 1.4% on 8.5% of its assortment during Prime Day.

Check out our latest analysis on fashion pricing trends across 2022-23 to better understand the pricing dynamics in this category in greater detail.

Across all the apparel subcategories we analyzed, Women’s Athleisure (8.7%), Men’s Swimwear (8%), and Women’s Tops (7.6%) were among the ones with the highest price reductions. On the other hand, Men’s Athleisure (2.5%), Women’s Shoes (3.5%), and Men’s Innerwear (4.1%) had conservative markdowns.

Pricing decisions across the various subcategories are likely to have been influenced by several factors like inventory levels, demand patterns, and the need to balance competitive offers with maintaining reasonable profit margins, as Amazon tried to cater to a more price-sensitive consumer.

Across all apparel subcategories, leading brands that offered the highest markdowns were Tommy Hilfiger (11.5%), Amazon Essentials (9.4%), Adidas (8.6%), and Calvin Klein (8.6%).

For brands, however, lowering prices is only one lever to attract and convert shoppers. They also need to ensure they’re highly visible and discoverable on Amazon’s search listings. This exponentially improves their chances of driving more clicks and conversions. In our analysis, we tracked the Share of Search of brands across several popular search keywords. Share of Search for a brand is defined as the proportion of the brand’s products in the top 20 search results for a search query.

Our data indicates that several brands gained impressive ground in their discoverability during Prime Day, while others fell behind. Gildan in Men’s Innerwear, Adidas in Men’s and Women’s Shoes, Anrabess in Women’s Athleisure, and Lululemon in Men’s Athleisure, among others, improved their Share of Search by significant levels during Prime Day.

On the other hand, brands like Hanes in Men’s and Women’s Innerwear, Kanu Surf in Men’s Swimwear, Cupshe in Women’s Swimwear, and others lost around 10% in their Share of Search during the event. This is likely to have impacted their sales volumes adversely.

Home & Furniture

The Home & Furniture industry has been challenged with reduced demand due to inflationary pressures over the past year or so. Leading retailers in the category overestimated the demand, leading to overstocking of inventory. As a result, Home & Furniture is one of the few categories that saw Amazon’s competitors participate at a significant level on Prime Day in order to ensure they don’t fall behind on liquidating their stock.

Amazon’s additional discounts averaged 4.8% across 30.2% of its assortment. Wayfair and Overstock too reduced their prices by 4.8% and 4.3% on around 44% of their respective assortments. Wayfair’s move is likely a part of their strategy to attract new customers and expand their market share, in response to a decline in their consumer base. Last year, Wayfair experienced a loss of 5 million out of its 1.3 billion consumers due to weakening demand.

Target and Walmart did offer additional discounts, but they were not at a competitive level. The Home Depot effectively opted not to compete at all during the sale event. Overall, the pricing actions of these retailers are in stark contrast to the highly conservative pricing strategies observed on Prime Day last year.

Our recent pricing analysis of the Home & Furniture category revealed more interesting insights and pricing dynamics over the past year.

Across all the subcategories we analyzed, Bookcases (8.2%), Rugs (7.8%), Mattresses (6.5%), and Luggage (6.2%) were among the ones with high price reductions.

Meanwhile, Sofas (2.4%), Washer / Dryers (2.4%), and Entertainment Units (2.7%) had lower markdowns. These are large and substantial purchases, making retailers more cautious about deeply discounting them while still ensuring profitability.

The brands that stepped up and offered the highest markdowns in this category include Zinus (20.2%), Comfee (10.8%), Sauder (9.9%), and Best Choice Products (8.7%).

In terms of Share of Search, Rockland in Luggage gained the highest (21%), followed by Farberware in Dishwasher, Olee Sleep in Mattresses, and Homeguave in Mattresses gained significant ground in their respective categories as shown in the image below.

Brands like Best Choice Products in Coffee Tables, Molblly in Mattresses, and Black+Decker in Washer/Dryers and Dishwashers lost a good portion of their Share of Search during the event. Due to high competition for visibility during sale events, brands that fail to keep an eye on their Share of Search stand to take a hit in their sales, especially in categories like Home & Furniture that tend to have low brand loyalty.

Consumer Electronics

2023 was the year of consumer electronics on Amazon Prime Day. Amazon’s price reduction during the sale averaged 10.4% across 54.5% of its assortment in the category. Target and Walmart, on the other hand, offered significantly lower additional discounts of 1.9% and 2.7% on 10.4% and 19.1% of their assortment, respectively.

The consumer electronics category often witnesses aggressive price reductions during Prime Day and other sale events due to its popularity and high demand. In addition, since retailer margins are usually low in this category, shoppers often have to wait for sale events like Prime Day (when brands markdown their wholesale rates) to have several attractive deals to choose from.

Across all the subcategories we analyzed, Smartwatches (15.4%), Wireless Headphones (15.4%), Earbuds (14.9%), Headphones (12.5%), and Tablets (12.0%), were among the ones with the highest price reductions. All of these subcategories are quite popular that tend to sell in large volumes during sale events.

Meanwhile, Laptops (2.1%), TVs (3.1%), and Smartphones (7.6%) had lower markdowns. A lower markdown on smartphones may reflect steady demand throughout the year, reducing the urgency to offer significant discounts during the short Prime Day window.

Amazon (22%), Tozo (12.5%), Lenovo (10.8%), JBL (8.3%), and Apple (5%) offered the highest price reductions in Consumer Electronics as a whole. Clearly, Amazon didn’t hold back on offering attractive deals on its own private label products in this category.

Consumer Electronics as a category tends to have a brand loyal shopper base. However, Share of Search generic search keywords are still very important for keywords like earbuds, headphones, and tablets that result in relatively lower priced products. HP in Laptops, Samsung in Tablets and TVs, and Oneplus in Smartphones all made strong strides in building their discoverability on Amazon during Prime Day. Beyond just driving more sales, this also has the intended effect of boosting brand awareness among high-intent shoppers.

Sony in Headphones, Asus in Laptops, and Insignia in TVs lost out to other brands in terms of their discoverability during the sale. Sony and Asus, especially would be hurting as they are prominent brands in their respective categories.

Health & Beauty

The Health & Beauty category is a favorite among consumers during Prime Day, as it encompasses a wide range of products like skincare, cosmetics, and grooming items. As shoppers often tend to stock up during the sale, brands and retailers are willing to offer competitive discounts and gain an edge over their competitors.

Our data reveals that the average additional discount on Amazon was 6.7%, offered on a little over a third of its assortment. Walmart reduced its prices sizably as well, by an average of 3.1% on 13.4% of its assortment.

Interestingly, Sephora and Ulta Beauty, leading retailers in the Health & Beauty category did not compete on price at all this Prime Day. It is likely they are confident their loyal customer base will not be influenced by Amazon’s Prime Day deals and be driven away merely by lower prices. In addition, keeping their prices steady during Prime Day might have been a strategic choice to protect their brand reputation and premium positioning.

Relatively premium subcategories like Electric Toothbrushes (10%), Moisturizer (8.3%), Beardcare (7.3%), and Make Up (6.7%) saw the highest price reductions on Amazon.

In contrast, staple items like Toothpaste (3.7%), Shampoos (5.4%), and Conditioners (5.7%) had lower markdowns.

Among the leading brands in this category, Oral-B (10.3%), Philips Sonicare (8.7%), Neutrogena (8.4%), and Colgate (5.6%) offered the most attractive deals during the sale event.

In terms of significant gains in Share of Search for brands, Oral-B in Electric Toothbrushes led the pack again. Neutrogena in Sunscreens and Somall in Toothpastes also gained more than 10% in their Share of Search during the sale event, followed by Tresemme in Shampoos and Airspun in Make-Up products.

Other popular brands like Crest in Toothpastes, e.l.f in Make-Up, Philips Sonicare in Electric Toothbrushes, and Sheamoisture in Beradcare surprisingly had reduced visibility among the top search results for relevant subcategories.

Staying Ahead of the Curve During Sale Events

This Prime Day, Amazon leveraged its scale to offer aggressive discounts across key product categories, while several competing retailers chose to sit back and let the sale play out. Others chose a selective discounting strategy that focused their modest price reductions on a small set of items.

At DataWeave, we understand the pivotal role competitive pricing insights play in empowering retailers and brands to gain a competitive edge, especially during crucial events like Prime Day. For retailers, the ability to track competitor prices accurately, at scale, in a timely manner is essential to plotting and acting on impactful pricing strategies and staying ahead of the curve.

To learn more about how this can be done, reach out to us today!
July 24, 2023
It’s not easy being a Bakery Brand: Insights from Digital Shelf
By 2028, Fortune Business Insights projects that the global bakery products market will reach USD 590 billion. The CAGR (Compounded annual growth rate) for 2021-28 is estimated at 5.12%. Products in this segment include bread, buns, cookies, tortillas, salted snacks, English muffins, bagels, confectionery food, hot dogs, cakes, popcorn, and so on.

Due to disruptions in the global supply chain caused by lockdowns and border closures, the pandemic has had a negative impact on the demand for bakery products and snacks worldwide. However, the market is not only changing, but consumer demand is increasing. Post-pandemic, health, food, and safety have gained renewed attention.

People across the world are making healthier choices with a focus on wellness.

A growing number of people are interested in plant-based foods and beverages, reducing sugar consumption, and understanding the link between lifestyle and health, including obesity and diabetes. As a result of these trends, food producers are reshaping their product strategies to meet new consumer demands.

In this article, we take a look at the ways companies can leverage data to inform their e-commerce strategy.

What’s driving up the demand for bakery products?

More people are choosing easy-to-use bakery products and snacks over other foods due to urbanization, convenience, western diets, and women’s participation in the workforce. Additionally, innovations in baking systems, food technologies, ingredients, formulations, and product ideas are providing customers with a greater level of choice, flexibility, and freedom.

How is e-commerce changing the game for bakery product companies?

To optimize their supply chains, bakery food and snack companies must better understand e-commerce metrics given the wide variety of products available and eventually convert sales. There are several measures that companies need to pay attention to.

Stock availability metrics, discounts across locations, and share of search results – are all critical metrics companies need to track. In addition to providing manufacturers and retailers with an insight into the trends, DataWeave’s tools also allow them to make better business decisions and ultimately improve their bottom line.

Grocery Retailers and Bakery Brands tracked

Methodology
- Data Scrape period: February 2022 to September 2022
- Country: Canada
- Grocery Retailers tracked: Atlantic Superstore, Fortinos, InstaCart, Loblaws, Voila, Walmart Grocery, Zehrs.
- Bakery brands: Betty Crocker, Dempsters, Hostess, No Name, Presidents Choice, Quaker, Vachon, Doritos.
- Category tracked: Bread and Bakery, Chips, Crackers, Deserts, Snacks.
Share of Search Analysis

Which brands feature the most on e-commerce portals?

When listing items on e-commerce platforms, share of search is crucial. The highest share of the top ten or top twenty items available on these platforms is correlated with how many times the item may be viewed. As a result, it would have a greater chance of being selected by the customer.

By Retailer for Category “Desserts”

Share of Search for Brands in each retailer
- In Walmart Grocery, Vachon has the highest share of search at 41%, whereas Betty Crocker, Presidents Choice and No Name had the lowest share of search at 0%, in the Desserts Category.
- In Loblaws, Presidents Choice had the highest share of search of 34%, whereas Dempsters had the lowest share of search of 2% in the Desserts Category.
- The brand Presidents Choice consistently ranks high in the share of search results for Desserts across multiple retailers, including Atlantic Superstore, Fortinos, Instacart, Loblaws, and Zehrs – except at two retailers, Voila and Watlmart Grocery, where its share is zero.
Trend of Share of Search for “Desserts”

Share of Search analysis by Brands over Time in category “Desserts”
- Share of search had dropped by around 4% for No Name, whereas for Vachon, it increased by 3% from Jan’-22 to Sep’ 22
- By brands, Presidents Choice had the highest share of search at 42%, whereas Betty Crocker had the lowest share of search at 12% between Jan’ 22 and Sep’ 22 in the Desserts Category.
Availability Analysis

Which products are widely available across e-commerce portals?

The availability of the product on the e-commerce portal is one of the key indicators of meeting customer demand. Brands can use insights from DataWeave to strategize how to restock their inventory and ease customer demand. Based on data analysis, brands can also determine which products to prioritize on which platforms.

By Category

Availability analysis by Category over Time
- Availability of all five categories was around 52% in Feb’ 22, which steadily increased to 61% until Aug’ 22 and has reduced to reach 55% availability in Sep’ 22
- Sliced Bread category has seen the most drop in availability by 12% between Jun’ 22 and Sep’ 22
- The tortilla category has the most rise in availability. It has increased by 16% between Feb-22 and May-22. It also showed an overall rise in availability of 5% from Feb-22 to Sep-22
By Location

Availability analysis by Location and Category
- Across categories, Snacks & Candy had better availability at 73% than Bread & Bakery, with 56% availability.
- By Location, New Brunswick had more than 65% availability across all three categories; the closest Location is Nova Scotia, with 63% availability.
- Alberta had the highest availability of 100% in the Snacks & Candy category and the lowest availability of 21% overall in all three categories (weighted aggregate)
Discounts Analysis

Several discount-based insights can be studied on e-commerce platforms. From location-based trends, retailer-based trends, and manufacturer-based insights. These insights can help companies make the most of the revenue opportunity while creating an attractive value proposition for the retail consumer.

By Category

Discount analysis by Category
- Discounts of all three categories were around 24% in Feb’ 22, which steadily reduced to reach 15% in Sep’ 22
- Snacks, cookies & chips category has contributed the most to the drop in discounting, which dropped by 17% between Apr’ 22 and Sep’ 22
- The Tortilla Category does not have any discount in the month of Jul’ 22
By Retailer
- Discount on Bread & Bakery category in Walmart Grocery was around 9% in Feb’ 22. It steadily increased to 13% by Jun’ 22 and thereon reduced to reach 11% availability in Sep’ 22.
By Location
- Across Retailers, Nova Scotia had the highest availability of discounts at 22%, whereas New Brunswick had the lowest with discounts at 9% in Bread & Bakery category.
Discount analysis by Retailers and Locations – Alberta, Ontario, New Brunswick, Nova Scotia
Note: Analysis does not cover all locations

Bakery and snack product manufacturers on e-commerce platforms have access to a rich trove of insights they can leverage to benchmark their strategies. They can better understand customer demands, align their supply chain and critically understand the trends impacting their bottom line. Engaging with a third-party platform like DataWeave’s Digital Shelf Analytics can help brands unlock tremendous value.
December 3, 2022
The Rapid Rise of Alcohol eCommerce in the UK
Alcohol eCommerce has been rapidly growing over the years, and like a lot of other industries, the pandemic accelerated its growth. Convenience, safety & home delivery became important criteria for customers in the post pandemic era and so the sale of alcohol via eCommerce went up. Kantar reported that UK booze sales were up £261m & online and convenience stores were the biggest winners. The latest IWSR Drinks Market Analysis Report 2022 reported on another interesting trend – when ordering alcohol online, consumers prefer using websites v/s apps in most parts of the world except China and Brazil. In the UK the largest chunk of online alcohol purchases happens on a retailer website instead of an app.

Platform used for last online alcohol purchase. Source

To get a better understanding of this, we tracked 2 grocery retailers and 3 grocery Q-Commerce apps in the UK to get insights into Alcohol sales, pricing, trends & more!

Methodology
- Data Scrape time period: Feb 2022 – June 2022
- Grocery Retailers tracked: Tesco & Ocado
- Grocery Apps tracked: Gorillas, Weezy & Getir
- Category tracked: Alcohol
Which retailer was the Price Leader in the alcohol category?

Before the pandemic Tesco was the only Big 4 retailer to increase their alcohol market share & Waitrose was the biggest loser, with its share of booze sales falling from 5.4% to 4.7%. Maintaining Price Leadership is a critical element and plays a big role in increasing sales & market share because consumers will buy the most competitively priced product. We wanted to track and see which retailer was the Price Leader in the alcohol category – i.e., had the most number of lower-priced items in the alcohol category. We also wanted to see if & how Tesco’s position had changed post pandemic.

Price Leadership
- Tesco enjoyed price leadership in the Alcohol category from Feb – June 2022 with 38.9% products priced the lowest. This, followed by Ocado at 33.8%. Gorillas had price leadership for the least amount of products in the alcohol category at 5.6%. Tesco was the clear winner!
- Tesco’s Price Leadership kept declining through the months though – at the beginning of the year in Feb, Tesco had 44% products priced the lowest but by June, that number fell to a little over 36%. Ocado showed a reverse trend – in Feb they had price leadership on 32% items and by June that number rose to 35.3%.
- One player Tesco could’ve potentially lost price leadership to was Getir. In Feb, Getir had price leadership on only 8.2% products but that increased gradually over the months to land on 14.5% in June.
Which retailers focused on Discounts to perk up alcohol sales?

Discounts are a great way to draw in inflation-hit shoppers. Loyalty card discounts, reward vouchers, and other promotional strategies retailers offer help make their products more competitive & attractive to customers. To stay competitive, retailers need to be aware of the discounts their competition is offering. They also need to understand the risk of deep discounting and the impact on margins. We wanted an insight into alcohol related discounts in the UK so we dug into our data. Here’s what we saw.

Average discounts across months by retailers
- A host of European and UK based startups like Jiffy, Dija, Weezy, Zapp, Getir & Gorillas launched with the promise of delivering groceries the fastest & cheapest.
- Our data showed that Gorillas offered discounts in line with the competition, however, Getir likely went the deep discounting route.
- Getir offered the highest discounts across all months. And in the month of April they offered almost 9% more discount than Ocado – the retailer with the 2^nd highest discounts.
  Like we discussed above, Getir gained price Leadership from Feb to June. Deep discounting could have potentially played a role.
- Gorillas on the other hand had the lowest, almost non-existent discounts.
Let’s look at Price Index trends across 5 months

We tracked the Price Index (PI) across these 5 retailers to measure how alcohol prices changed over a 5 month period from Feb – June 2022.

Note: Retailers selling at the 100% mark were selling at an optimal price & did not undercut the market. The pricing sweet spot is 95% – 105%. Anything lower would compromise margins, and higher would mean the retailer was not competitive.

Price Index across months by retailers
- Weezy had a Price Index that was the most optimal, sitting in the 100% – 102% range.
- Gorillas had the lowest Price Index, between 89% – 91%.
- Getir had a low price index in Feb (96.1%) but slowly kept increasing to cross 110% in April, May & June.
- What was interesting to see was the competition between the 2 retail giants Ocado & Tesco. Ocado had a lower price index at the start of the year at 105.1%, while Tesco was at 109.8%. In the subsequent months, Ocado kept increasing prices to be competitive with Tesco and Tesco decreased prices to likely match Ocado’s pricing. By June BOTH Tesco & Ocado had the exactly the same price index – 108.7%
Which retailers were the quickest to make price changes?

Competitive pricing is critical to eCommerce success. Competitive pricing involves tracking your competitor’s pricing & strategically tweaking your own prices without hurting margins. We tracked the month-wise average Price change from Feb – June across all 5 retailers to see which retailer was making price changes and at what frequency.

Average price change across months by retailers
- Most retailers did not make massive prices changes, they were ballpark competitive with each other from a pricing standpoint.
- However, Gorillas made significant changes in the month of March when they dropped prices by 3.8% and in May when they increased prices by 5.5%!
- In May, the same month Gorillas made a big price hike, Weezy dropped their prices significantly by 10% widening the gap between the 2 retailers.
Which retailers avoided lost sales by maintaining stock availability?

Having a near real time view on stock availability is crucial to driving sales. Customers can buy products only when they’re available! So, we went ahead, looked into our data to see how each of these retailers managed stock availability from Feb to June.

Average availability across months by retailers
- Our data showed varying availability levels across retailers with Ocado having the highest availability across all 5 months. They had a robust stock at the beginning of the year at 100% but kept dwindling through the months to land at 95.8% by June.
- Tesco had a sharp drop in availability in May & June – from 97% at the beginning of the year to the 92-93% range.
- Gorillas had the lowest availability across months between 90 & 94%.
- Weezy consistently maintained availability at 95% across all 5 months.
Conclusion

For the most part, the UK market has a positive outlook towards buying alcohol online thanks to changes to shopper behavior arising from the pandemic. As per the IWSR Drinks Market Analysis Report 2022 in website-led markets, such as the UK, breadth of product range is important to customers along with price. These 2 play a key factor in purchase decisions. By contrast, consumers in app-driven markets have different preferences. While price matters, it is less important than convenience and speed.

As an alcohol retailer, if you need help tracking your competitor prices, discounts and product assortment, reach out to the team at DataWeave to learn how we can help!
September 5, 2022
5 Ways DataWeave Helps Brands Drive Growth With Amazon Ads

Consumers are discovering and trialing new eCommerce marketplaces, brands and products at a faster rate than ever before, given the vast amount of choices encountered browsing for products online. A recent analysis shows how events like Amazon Prime Day, Black Friday, and Cyber Monday are especially fruitful for new-to-brand customer advertising, encouraging B2C marketers to increase their digital advertising spend to fuel product discovery, sales and market share for their brands.

DataWeave joins Amazon Advertising partner network

The majority of eCommerce consumers are discovering products via relevant keywords attributable to their needs, with most clicks happening on page one results for the first few products listed. Simplifying the digital shopping experience is critical for brands to be in the consideration set for the majority of consumers who won’t venture past page one results.

An internal analysis conducted shows getting a product to page one on retailer websites can improve sales by as much as 50 percent, but figuring out the right levers to pull to get there organically—without paid advertising—is a real challenge, especially given fast-changing algorithms. While more than half of all retail related online browsing sessions are “organic”, sometimes brands need to boost their product visibility by investing in sponsored (paid) opportunities to improve a product’s rank.

Data analytics can equip brands with intelligence to help them decide when, where, and how to make digital advertising investments profitably, while simultaneously acting on insights that help drive organic growth. Considering a majority of U.S. consumers begin their product discovery on marketplaces like Amazon, it makes sense for brands to prioritize digital advertising opportunities with Amazon.

Maximize Return on Ad Spend (ROAS) with Amazon Ads

Brands use Amazon Ads to drive brand awareness, acquire new customers, drive sales and gain market share, with the goal of furthering their marketing return on investment. Top performing advertisers average 40 percent greater year-on-year (YoY) sales growth, 50 percent greater YoY growth in customer product page viewership on Amazon, and 30 percent higher returns on ad spend (ROAS) with Amazon Ads, according to a recent analysis. Sponsored Products, Sponsored Brands, Amazon DSP and Sponsored Display are among the types of Amazon Ads options cited that produce maximum return.

Ensuring your product listings appear at the top of page one results on Amazon for the most relevant discovery keywords is therefore the most important determinant for maximizing ROAS. DataWeave has become a vetted partner and measurement provider in the Amazon Advertising Partner Network, with the goal of supporting brands to optimize digital advertising campaigns by providing visibility to Digital Shelf Analytics (DSA) key performance indicators (KPIs), like Share of Search, Pricing and Product Availability, Content Audits, Ratings and Reviews, and Sales Performance and Market Share.

Below is a summary of how our Digital Shelf solutions, in partnership with Amazon Ads, can improve the performance of your Amazon Ads campaigns

1. Keyword Recommendations Improve Share of Search

With the DataWeave Share of Search solution, brands can monitor their placement of both organic and paid discovery keywords relative to their competition. Once your keywords are determined, you are also provided a weighted Share of Search score that helps measure how well each keyword performs relative to product discoverability. Below is an example of insights you’d gain.

Share of Keyword Search

Brands can provide their own list of keywords to monitor, or through our Amazon Ads collaborative solution, learn which keywords are the “best” for them to measure in the realm of Amazon. Performance results are based on data that shows which keywords consumers are actually using when browsing online alongside other keywords brands request to measure. Users are able to see exactly which keywords are most popular, competitive (and even unexpected), and relevant at an Amazon Standard Identification Number (ASIN) level of granularity.

We can also estimate the degree of relevance and estimated traffic for the recommended keywords. Brands can then use these insights to adjust campaign strategies based on these parameters, which can boost product discoverability and rank visibility. A brand could assume people find its products by brand name, yet traffic insights may reveal a majority of people look for a generic product type before they end up buying that particular brand.

2. Content Audits Increase Discovery Relevancy Scores

Strong product content is critical to succeeding on Amazon. Thorough, accurate, and descriptive content leads to better click through rates (CTR), conversion rates, more positive reviews, and fewer returns, which results in increased discoverability. DataWeave’s Content Audit solution reviews existing copy and images on a per-attribute basis to highlight any gaps essential to improving visibility, as seen in the example below.

Content Analysis

To further growth, it is equally as important that your product content aligns with your advertising strategy. With Amazon Ads partner add-on, our solution can also audit your content to measure how effectively you are incorporating Amazon Ads keywords into your product content to enhance discovery relevancy.

3. Discover More Opportunities with Pricing and Product Availability Insights

Quality content and keyword updates will only get you so far if your products are not consistently available and priced competitively. With DataWeave’s Pricing and Promotions and Product Availability modules, advertisers can monitor their selling prices and availability trends alongside their competitors to uncover more opportunities to incorporate into advertising campaigns, as seen in the Pricing and Promotions dashboard example below.

Promotion Analysis

Additionally, product targeting recommendations can be utilized to target a competitor’s ASIN that may be overpriced or that is having issues staying in stock. Alternatively, broaden your strategy to target specific brands, complementary products, or category listing pages.

You can also create alerts on your own products to monitor when items are low on inventory or out of stock to ensure key products are consistently available when customers are shopping.

4. Leverage Ratings and Reviews to Increase Conversion

Product ratings and reviews are also a critical component to running a successful Amazon Ads campaign. A large number of reviews and a positive star rating will provide customers with the confidence to purchase, resulting in higher conversion rates. Conversely, negative feedback can have a detrimental impact, resulting in lost sales and wasted ad spend. DataWeave’s Ratings and Reviews module can help you monitor your reviews and extract attribute-level insights on your products. This information can then be utilized to further optimize your advertising strategy.

If you see consistent feedback in your reviews on aspects of a product not meeting customer expectations, address them in your product content to prevent potential misplaced expectations. Alternatively, if customer reviews are raving about certain product features, ensure these are promoted and relevant keywords are populated throughout your descriptions and feature bullets. Below is an example of insights seen within the DSA Ratings & Reviews dashboard.

Ratings and Reviews

5. Correlate Digital Shelf KPIs to Sales Performance and Market Share

The newest DSA module, Sales Performance and Market Share, provides SKU, sub-category, and brand-level sales and market share estimates on Amazon for brands and their competitors, via customer defined taxonomies, to easily benchmark performance results.

This data can also be correlated with other Digital Shelf KPIs, like Content Audit and Product Availability, giving brands an easy way to check the effect of attribute changes and how they impact sales and market share. Similarly, brands can see how search rank, both organic and sponsored, affects sales and market share estimates.

Understanding the correlation between your advertising campaigns and your Digital Shelf brand visibility will help you identify which areas to prioritize to drive sales and win more market share.

Digital Shelf Insights Help Brands Win with Amazon Ads

The need for access to flexible, actionable eCommerce insights is growing exponentially as a way to help brands drive growth, increase their Share of Voice, and to gain a competitive edge. As a result, more global brands are seeking Digital Shelf Analytics for access to near real-time marketplace changes and to develop data-driven growth strategies that leverage pricing, merchandising, and competitive insights at scale.

By monitoring, measuring and analyzing key performance indicators (KPIs) like Sales Performance and Market Share, Share of Search, Content Audits, Product Availability, Pricing and Promotions and Ratings and Reviews alongside competitors, brands will know what actions to take to boost brand visibility, customer satisfaction, and online sales.

DataWeave’s acceptance into the Amazon Advertising Partner Network enables Amazon advertisers to effectively build their Amazon growth strategies and determine systems that enable faster and smarter advertising and marketing decision-making to optimize product discoverability and overall results.

Connect with us now to learn how we can scale with your brand’s analytical needs, or for access to more details regarding our Amazon Ads Partnership or Digital Shelf solutions.

UPDATED: Read the full press release here

August 23, 2022
Prime Day India 2022 – highlights from the 2 day annual shopping festival!
Amazon India’s much-awaited annual two-day shopping event, Prime Day, kicked off with a bang on July 23^rd & 24^th this year & was one of the most successful Prime Day events yet! Amazon reported that more than 32,000 sellers saw their highest ever sales day during the event. Interestingly 70% of these sellers who received orders during Prime Day were based in Tier 2 cities in India, further validating how the post-pandemic eCommerce boom has spread across the country. Also, Indian exporters saw 50% business growth on Amazon on Prime Day as customers across markets like North America, Europe, Australia, and Japan continued to purchase Made In India products.
It was a great 2 days for Indian sellers, but what about customers who were waiting in anticipation for the great deals typically offered on Prime Day? We dug into our data to take a look at the deals, discounts, and brands that shone bright on Prime Day in India.

Methodology
- In addition to Amazon IN, we also tracked Flipkart on 23 & 24th July 2022, on Prime Day.
- Categories tracked – Electronics, Grocery, Fashion & Beauty.
- We looked at Additional Discounts offered on Prime Day: Additional Discount is the extra discount on an item during Prime Day when compared to the Pre-Prime Day price.
- We also looked at Post Prime Day Discounts, which were the discounts offered after the 2-day event ended.
Amazon v/s Flipkart – who offered better discounts?

Prime Day discounts are legendary. And across the globe, during Prime Day retailers try and compete to see if they can offer better deals than Amazon. Forbes even published an article on the 36 Prime Day competitor sales that were way more enticing than what Amazon had to offer. In India, we wanted to see if Amazon’s homegrown rival Flipkart might give it a tough fight, so we tracked the volume of discounts across categories on both retailers.

Discounts on Amazon & Flipkart across categories
- Out of the 4 categories we tracked, in spite of Prime Day, Amazon offered discounts higher than Flipkart in only 2 categories – Electronics & Beauty.
- … while Flipkart offered higher discounts than Amazon in the Grocery & Fashion category. For groceries, Flipkart offered a 3.2% additional discount v/s 2.2% on Amazon. However, in the Fashion category, the difference was marginal – 8.1% on Amazon v/s 8.6% on Flipkart
- Post-event, both Amazon & Flipkart went back to the original pre-event prices. This made it clear that Flipkart was tracking and making price changes based on their closest competitor. It’s what smart eCommerce businesses do to stay ahead in the race.
- Interestingly, post-event, in the fashion category, not only did Amazon revert to the original pre-event price, they even increased prices by close to 2%.
Let’s take a look at discounts across 4 categories & the Brands that WON in each category.

From Electronics to Fashion, Beauty & Groceries, let’s deep dive into the data to see which products were highly discounted within each category and brands that sprinted ahead to win the race on Amazon on Prime Day 2022.

ELECTRONICS

Tech publication Gadgets360 reported on the biggest Smartphone deals right from Brands like Samsung, Redmi, Oppo, and more. There were some fab deals on earphones too with Boat taking the lead. We wanted to take a look at electronics on Amazon and see which products had the heaviest discounts & if discounts were more lucrative than Prime Day 2021

Discounts on Electronics on Prime Day
- Amazon India released highlights from Prime Day and reported that Smartphones & Electronics were among the categories that saw the most success in terms of units sold.
- From the 6 product categories we tracked within electronics, we saw the highest additional discounts on Smartwatches (13.4%), followed by Bluetooth headphones (10.5%)
- TV, Smartphones, cameras, and laptops had an additional discount of between 3 – 5.5%
ELECTRONICS Brands that had the highest Share of Search on Amazon during Prime Day

Research shows that on Amazon, the first 3 products garner 64% of business generated. This is why it is critical for brands to appear in the top few listings when consumers are searching for products. Being on top helps shoppers find your brand with ease & increases the chances of a sale.

On Prime Day 2022, Amazon India reported that the top-selling consumer electronics brands were HP, Lenovo, Asus, and Boat to name a few. Our assumption is, these brands must’ve had a high Share of Search (SoS), which played a massive role in increasing sales, so we looked into our data to see which brands had the highest SoS against specific keywords related to electronics.

Brand Visibility against the Keywords
- Our data aligned with what Amazon reported. HP had high sales, perhaps because they occupied the premium #1 spot in the laptop category with a 44% SoS! Simply put, this means of the 100 laptops that appeared on a page, against a search for the keyword laptop, 44 products were listed by HP! Consumers always gravitate towards buying products they can find with ease.
- Lenovo had a 32% SoS for Laptops. Asus at 14%
- The top selling smartphone brands reported by Amazon included OnePlus, Redmi, Samsung, Realme & iQOO – our data showed that 3 out of these 5 brands were in the top 5 listings on Prime Day! Redmi had a whopping 30% SoS against the keyword smartphone, Samsung at 15%, and iQOO at 5% – clear validation that a high SoS can positively impact sales.
BEAUTY & GROOMING

Now let’s look at discounts in the beauty & grooming category.

Discounts on Beauty Products on Prime Day
- The highest additional discounts were given on shampoos (9.3%), followed by Lipsticks (6.6%)
- Shaving kits for men were at an additional discount of 3.4%. Hair gel at 4.9% & Face Masks at 4.3%
BEAUTY Brands that had the highest Share of Search on Amazon during Prime Day

Brand Visibility against the Keywords

In the beauty category, Amazon India reported that top-selling brands included Head & Shoulders, Dove, Biotique, L’Oreal, Sugar Cosmetics, and Mamaearth to name a few. Once again, we looked into our data to see the sort of brand visibility & SoS each of these brands had.
- All the top-selling brand’s Amazon reported on we noticed appeared in the top 5 search results.
- Head & Shoulders & Dove were the top 2 listings against the keyword Shampoo at 26% & 16% SoS respectively. Biotique came in at #5 with a 7% SoS
- Bombay Shaving Company, Gillette, and Axe were the top grooming brands for men in the Shaving Kit category.
- Lakme made a clean sweep with a 19% SoS against the keyword lipstick, which speaks volumes, considering the aggressive competition from D2C beauty brands in India today.
GROCERY

According to the New eCommerce in India report by consulting firm Redseer, grocery has been a major contributor to the growth of ecommerce in India & Amazon Fresh used Prime Day to grab a larger piece of that pie! As part of the Prime Day sale, Amazon Fresh also pushed discounts on groceries, as well as fruits and vegetables. We tracked products that fell into the “snack” category, and here’s what we saw.

Discounts on Snacks on Prime Day
- Given changing lifestyles & healthy food fads, it was no surprise that we saw the highest additional discounts were given on Healthy Snacks (3.2%) & Diet Food (2.7%)
- Chocolates and chips saw much lower additional discounts at 1.2% each.
- Drinks were additionally discounted by 2.5% during Prime Day.
SNACK Brands that had the highest Share of Search on Amazon during Prime Day

Brand Visibility against the Keywords
- Cadbury had a 69% share of search against the keyword Chocolate, leaving some of its key competitors way behind. Amul had a 20% SoS, while Hershey’s was at just 4%.
- According to an article in the Economic times, YogaBar tripled sales in FY22, which is why we were not surprised to see the brand at #1 when users were searching for “Healthy Snacks” during Prime Day. YogaBar products typically enjoy high visibility year-round, which clearly helped with brand awareness on Amazon & sales.
FASHION

Amazon reported that Men’s t-shirts and polos, denims, Kurtis, tops, and dresses for women, designer wear, and clothing for kids were some of the most-loved fashion categories on Prime Day. We looked into our data to see the trends that emerged.

Discounts on Fashion on Prime Day
- From the categories we tracked, women’s handbags had the highest additional discount (11.8%), followed by watches (9.1%)
- Sneakers & jeans had additional discounts in the ballpark of 7% and sunglasses at 4.4%
FASHION Brands that had the highest Share of Search on Amazon during Prime Day

Brand Visibility against the Keywords
- Some of the usual suspects made it to the top 5, but what really stood out for us were brands that popped up against the keyword Jeans. While Levi’s came in at #2 with an 11% SoS, 2 Private Label Amazon brands featured in the top 5! Symbol at 27% SoS and Inkast Denim at 9%
- Against the keyword Handbag, Lavie had a massive lead at 38% v/s the #2 brand – Caprese, at 13%
- Boat found a #2 spot against the keyword watches, racing way ahead of the age-old popular brand Fastrack at #5 with a 4% SoS.
Conclusion

Amazon Prime Day 2022 in India came to a successful close as shoppers across India discovered the joy of the 2 day celebration with the best deals, savings, new launches, and more. Prime members from 95% of pin codes in India made purchases, there were 1000’s of deals and 500+ new product launches from brand partners & sellers. Nearly 18% more sellers grossed sales over INR 1 crore, and close to 38% more sellers grossed sales of over 1 lakh vs Prime Day 2021. Local neighborhood shops that sell on Amazon witnessed 4x sales growth. And start-ups and brands under the Amazon Launchpad program witnessed a growth of 3x. All in all, a successful event for everyone involved!
August 15, 2022
Prime Day Germany 2022 – highlights from the 2 day annual shopping festival!
In 2022, Amazon sold 300 million products during Prime Day – selling roughly 100,000 items per minute. Since Amazon started Prime Day in 2015 to celebrate its 20th birthday, the shopping festival has grown into a holiday and rivals Black Friday and Cyber Monday in the U.S. and Singles’ Day in China.

According to RetailDetail, the leading B2B retail community in Benelux, Amazon is planning a 2nd Prime Day shopping festival in the autumn, just a few months after its annual Prime Day event. The retailer has asked its sales partners to prepare for a promotional event in the autumn where they have until the beginning of September to propose attractive discounts, with at least 20% discounts. This year’s second Prime Day may occur in October, with or without the same name.

But before that, let’s examine what happened in Germany this year on Prime Day 2022.

Methodology
- We tracked Amazon.de both before & on 12 & 13th July 2022, on Prime Day.
- Categories Tracked – Electronics, Wine & Spirits, Grocery, Furniture, Fashion, and Beauty.
- We looked at Additional Discounts offered on Prime Day: Additional Discount is the extra discount on an item during Prime Day when compared to the Pre-Prime day price.
- We also looked at Post Prime Day Discounts, which were the discounts offered after the 2-day event ended.
What kind of Discounts did Amazon.de offer?

Amazon Prime Day will be significant, especially for customers hoping to get discounts amid soaring inflation. Both Amazon as well as other sources reported that electrical and electronic items were the most popular purchases, followed by general retail products. Electrical and electronics saw the value of transactions soar 90% on the first day. Mobile phones and accessories were the most popular, with transaction values almost doubling to 96% on day one.

Discounts across Categories on Amazon.de
- Based on trends from past events, Amazon likely knew electronic items were going to be best sellers. Keeping this in mind, they made sure to offer high discounts in the electronics category. They offered a 6.5% additional discount on electronics on Prime Day. And once the sale ended, they continued to discount electronics by 1.3%.
- The Fashion category also had a fair bit of discounts and came in at a close second at 5.9%
- Looks like Amazon discounted everyday use items minimally. Groceries had an additional discount of just 1.8% on Prime Day, and wine and spirits had 2% extra discount.
Discounts on Electronics Category on Amazon.de
- Within Electronics, in the four categories we tracked, we saw the highest additional discounts were offered on Bluetooth earphones (10.6%) and Smartwatches (9%)
Discounts on Fashion Category on Amazon.de
- Jeans and Sunglasses had the highest discounts at 8.6% & 7.6% respectively.
- Sneakers & Watches too had additional discounts of 6.6% on Prime Day.
- Post the Prime Day event, Amazon retained an average of 1.5% discount across all products in the fashion category instead of pricing them at the original price.
- However, in the case of women’s T-Shirts, they increased the price by 1.7% from the pre-event price.
Discounts across Price Tiers

Retailers must consider several factors when making strategic discounting decisions, including customer buying behavior, the type of discount offered & the volume of discount offered. The best discounting approach will vary depending on the product and other factors like the original selling price of the product.

Now let’s compare the discounting strategy Amazon used in the Electronics v/s Fashion category on Prime Day.

Discounts across Price Ranges
- Interestingly, in both the Electronics and Fashion categories, Amazon increased prices for the lowest-end products between the €0-10 range by 3.6% and 13.2%, respectively, during the sale instead of discounting them! Maybe this was a strategy to drive consumers to higher-value products with greater discounts?
- Another similarity in strategy was that most of the mid-priced items had maximum discounts. In electronics & fashion both, the maximum discounts were given to products between the € 30-100 range.
- Here’s a difference that stood out – for Electronics in the higher price range between €100 – 500, the volume of discounts dropped a bit which meant Amazon gave moderate discounts on high-end electronics. But the trend flipped for Fashion as luxury fashion items were made to look more attractive with higher discounts.
Monitoring stock availability during key sales days is critical

Brands need to have the right stock availability, especially during sale events, because more customers shop online during sales. What’s worse, non-availability of products may drive customers to competitors that are stocking the same product. Out-of-stock situations lead to missed opportunities & lost sales! Let’s take a look at our data and see how Amazon planned product availability across categories on Prime Day.

Availability Analysis across Categories on Prime Day
- Amazon was betting big on 2 categories – Electronics & Home. This meant they needed to keep a keen eye on availability in these categories, especially since they forecasted the highest sales to be generated here.
  … it was no surprise that the Furniture category had almost 100% availability during Prime Day! Electronics too had a high availability at 94% during the event.
- Generally, our data showed that availability across multiple categories we tracked seemed robust and above 80% in more cases. Only Beauty & Grocery had 79% availability.
Conclusion

Prime Day sales reached an estimated 12 billion U.S. dollars worldwide, 9.8% higher than last year, making it the most successful shopping event in Amazon’s history. If you’re a brand selling on Amazon or a retailer trying to compete with Amazon, reach out to us at DataWeave to know how we can help!
August 8, 2022
Prime Day UK 2022 – highlights from the 2 day annual shopping festival!
Prime Day launched in 2015 as a celebration of the 20th anniversary of Amazon’s founding & has quickly become the biggest shopping event of the year for Amazon. Prime Day is a great opportunity for customers to snag fantastic deals on products they might not otherwise consider buying. Last year, Amazon Prime Day was a tremendous success, with Prime members spending billions of dollars on discounted items. In 2022 alone, global sales during the event reached a new record high of $12 Bn.

18 countries participated in Prime Day this year, including the US. We did a deep dive into what happened in the UK – the discounts Amazon offered and categories with the highest discounts as well as checked to see if other retailers tweaked their pricing strategy to compete with Amazon on Prime Day.

Methodology
- In addition to Amazon UK, we tracked some key retailers on 12 & 13th July 2022, on Prime Day.
  Retailers tracked – eBay UK, OnBuy, Selfridges, ASOS.com, Net-A-Porter
- Categories tracked – Electronics, Wine & Spirits, Grocery, Furniture, Fashion, Beauty.
- We looked at Additional Discounts offered on Prime Day: Additional Discount is the extra discount on an item during Prime Day when compared to the Pre-Prime day price.
- We also looked at Post Prime Day Discounts, which were the discounts offered after the 2-day event ended.
Did other retailers compete with Amazon on Prime Day?

Traditionally, as Amazon’s Prime Day sale approaches, other retailers adjust their prices by offering summer deals or getting creative with offers. However, we did not see aggressive strategies from other retailers this year. In the US, Walmart always has a sale during Amazon’s Prime Day. The Wall Street Journal reported that Walmart announced there wouldn’t be an annual promotional event on Prime Day 2022 this year.

Another report published by Forrester stated that major retailers scaled back their promotions, and overall offers from other retailers were less than impressive. We took a look at the data we gathered in the UK to see if this trend aligned.

Discounts offered on Prime Day on Amazon v/s other retailers
- Our data showed that most retailers we tracked offered negligible discounts (in the range of 0.1 – 1.5%) and did not really try and compete or match the discounts Amazon was offering.
- However, ASOS was the one retailer that competed heavily with Amazon in the Fashion & Beauty category. While Amazon offered an average additional discount of 7.7% in the Fashion category, ASOS offered 13.2%. And in the beauty category, Amazon offered 6.7%, while ASOS offered 15.2%.
- When we looked at post-prime day discounts, we saw that as soon as Prime Day ended, ASOS went back to the original price and stopped offering a discount which clearly shows they were keeping an active eye on out their competitors pricing. In fact, ASOS was offering up to 80% off almost everything on the site until Prime Day.
Which were the popular categories that offered the most discounts?

During Prime Day, shoppers saw tons of deals on essential gadgets. Tech deals were a massive hit and saw big discounts on everything from TVs, laptops, smartwatches, phones, and tablets. We look at the data we collected to see if we saw a similar trend.

Discounts on Amazon UK across categories
- Amazon offered discounts across categories and reported that some of the best-selling categories were Consumer Electronics & Home.
- Our data too showed that the highest additional discounts were offered in electronics – Bluetooth Earphones at 18.4%, followed by Smartwatches at 14.9% and Laptops as well as Cameras, both at 12%.
- Low discounts were offered on Alcohol, with Beer at 0.9% and Wine at 1.3%, respectively.
- Relatively attractive discounts were seen in the Fashion & Beauty category – Sunglasses (9.1%), Shampoo (9.7%), & Watches (9.4%)
Discounts on Amazon UK in the Electronics category

Electronics being the hot favorite – we wanted to deep dive into the data and get more insights on Amazon’s pricing & discounting strategy here. Discounts can entice customers to buy more, encourage customer loyalty, or clear out old inventory. However, businesses must be careful since too much discounting can eat into profits. They also have to be mindful of which products should be discounted and by how much.
- Our data showed that the highest discounts (between 13 – 18%) were given on electronics priced between the £ 20-100 price range.
- Electronics priced higher, between the £ 100 – 500 pound price range, were discounted less than 10%
- However, high-value premium electronics over £ 500 were discounted slightly above 10%
How did Amazon manage stock availability during Prime Day?

Keeping track of inventory is especially important during big sales like Prime Day when thousands of customers are actively looking for deals. There’s nothing worse than them finding the item they wanted is out of stock (OOS). OOS leads to lost sales, a situation that must be avoided at all costs. Read about how a small short term stock out on Amazon led to long term negative impacts for one of our customers. And let’s also look at the data and see what product availability looked like on Prime Day.
- Overall, Amazon maintained robust availability across categories, and re-stocking was constant both before, during & after the event.
- Furniture, Fashion & Electronics had the highest availability. No surprise there since Amazon estimated that Home/ Furniture would be one of the best-selling categories.
- Grocery saw average availability – perhaps cause some of these products are perishables, so it’s best to be mindful about overstocking.
Which Brands Won on Prime Day?

If there is one thing to remember about improving your product visibility on Amazon, it’s that it all boils down to the usage of the right keywords. Using relevant keywords makes your product appear higher up in search when customers are running searches on Amazon for those products. And the higher up a product appears in search, the higher the chances of a sale!

Let’s take a look at some popular categories and which brands had the highest Share of Search (SoS) during Prime Day.
- Corona, San Miguel, and Becks were the top 3 brands optimized for the keyword Beer. However, what’s really important to note is both Corona & Becks had 20% SoS that was completely organic. San Miguel had a 20% SoS too, but it was sponsored ads that gave them this artificial boost.
- While a whole bunch of other brands had a 10% SoS most of them achieved this via Sponsored Ads. Youngever was the only brand that achieved this completely organically. They must have made sure they optimized key KPIs like content, ratings & reviews & product availability to achieve this result.
- There were deep discounts on a wide range of Lenovo laptops. For example, the Lenovo IdeaPad duet Chromebook and Lenovo IdeaPad Flex 3 Chromebook were available at £100 off. Our data, too saw Lenovo & Asus fight for the top spot.
- Asus sponsored 28% of products before Prime Day, hoping to capitalize on the pre-sale frenzy. During the event, they sponsored only 13% of products, bringing down their total SoS from 31% before the event to 13% during the event.
- Lenovo followed the opposite strategy; they sponsored just 6% of products before the event and during the event sponsored a whopping 25% which made them “almost” dominate the Laptop category during Prime Day.
- Then there was Microsoft, with the highest SoS at 38%, of which all of it was organic!
- The Smartphone SoS battle was clearly between Samsung & Xiaomi. Samsung was a consistent #1 at all 3 time periods (Before, During & After Prime Day) with the highest total SoS. Xiaomi came in at a close second.
- Samsung had an exciting strategy – they went heavy on sponsorships before and after the event. Their sponsored SoS was 31% & 39% respectively. And SoS of 13% during the event.
- Xiaomi’s strategy was just the opposite. Their sponsored SoS was 16% before the event. And 17% after the event, which was moderate compared to their Sponsored SoS during the event at 25%, which was much higher than Samsung’s 13%
- Critical to note, Xiaomi’s organic search visibility before, during, and after the event was 0%. It definitely should be a concern area for any brand.
Share of search
- Both before & after the event, Cadbury had the highest visibility for the keyword Chocolate. During the event, they were not in the top 5 brands.
- During Prime Day, Nestle won the top spot and had a 29% SoS. However, before the event, they were at #3 and after at #2. Artificially boosting visibility might’ve had something to do with this.
Conclusion

Prime Day sales reached an estimated 12 billion U.S. dollars worldwide, 9.8% higher than last year, making it the most successful shopping event in Amazon’s history. If you’re a brand selling on Amazon or a retailer trying to compete with Amazon, reach out to us at DataWeave to know how we can help!
August 4, 2022
UK Grocery Pricing Wars in 2022! A quick look at Pricing Data we gathered from 5 Grocery retailers in the UK
Grocery sales in the UK are dominated by the “big four” – Tesco, Asda, Sainsbury’s, and Morrisons. A Statista report on these Grocery Giants as of May 2022 indicates that Tesco, Sainsbury’s, and Asda own approximately 27%, 15%, and 13% market share of grocery stores in the UK. Whereas Ocado and Symbols & Independent have the lowest market share, 1.8% each.

However, the grocery delivery market is seeing a major shift because of new-age Quick Commerce companies that have swooped into the already crowded grocery space offering super-speedy home delivery! These new entrants added to the already competitive Grocery market & price wars intensified. Customers today rely on ultra-fast delivery services for their grocery requirements. For example, Berlin-based Gorillas charges £1.80 to deliver anything from a £7 pizza to a 30p apple — with no minimum order value.

Investors funded over £5B in grocery delivery apps such as Getir, Gorillas, Zapp, Fancy, Dija, Weezy, Jiffy, and Beelivery, in the UK. These rapid grocery delivery apps offer shorter delivery times, as low as 10 minutes, along with deep discounts to attract customers. For example, Gorillas, Weezy, and Getir all claim a 10-minute delivery time and offer promotional codes for the first couple of orders. Customers also get discounts for inviting friends and family.

To get more insight into the Grocery space in the UK, we tracked 5 Grocery retailers & Q-Commerce companies to try and understand trends wrt pricing in this competitive environment. Let’s take a look at what our data found & which retailer won the competitive pricing tug of war.

Methodology
- Data Scrape time period: January 2022 – June 2022
- Grocery Retailers tracked: Tesco & Ocado
- Grocery Apps tracked: Gorillas, Weezy & Getir
- Categories tracked: Alcohol, Drinks & Beverages, Fresh & Frozen, Grocery, Health & Wellness, Home Care, Packed Food & Snacks, and Smoke shop.
Grocery Giants v/s Grocery Delivery apps – who was the Price Leader?

Price leadership by category

Price leadership across months by Retailer

We wanted to track and see which retailer was the Price Leader – i.e., had the most number of lower-priced items in a particular category. Our data clearly showed that the Grocery Giants Ocado & Tesco won hands down! Interestingly, Ocado launched a new Ad Campaign earlier in Jan this year about bringing value to the table for customers with quality products at affordable prices – seems like they’re taking this new promise very seriously!
- Tesco and Ocado were price leaders in maximum categories when compared to Gorillas, Weezy, and Getir.
- Between Tesco & Ocado, Ocado enjoyed price leadership across all these categories for 4 out of the 6 months we tracked pricing for. Tesco occupied the top slot for just the balance 2 months.
- Tesco was the price leader in the Alcohol category, with close to 40% of products priced the lowest compared to other retailers. They were also price leaders in the Smoke Shop category.
- Ocado won price leadership for the remaining 6 categories, with a marginal gap between both retailers.
Watching Price Index Trends as inflation soars!

Price index across months by Retailer

The Guardian reports that Grocery inflation has hit a 13-year high in the UK, and food price rises could hit 15% by this summer – the highest level in more than 20 years. Meats, cereals, dairy, fruit & vegetables are likely to be the worst affected. Keeping this in mind, we tracked the Price Index (PI) across these 5 retailers to measure how prices changed over a 6 month period from Jan – June 2022.

Note: Retailers selling at the 100% mark were selling at an optimal price & did not undercut the market. The pricing sweet spot is 95% – 105%. Anything lower would compromise margins, and higher would mean the retailer was not competitive.
- Getir & Ocado had a Price Index that was the most optimal, sitting in the 95% – 105% range.
- Gorillas had the lowest Price Index, between 88% – 90%.
- Weezy has the highest Price Index – they were selling at a minimum 30% – 40% premium over other retailers! Perhaps it’s their quick delivery service that justified these super high prices? Unlike other apps with a lower delivery fee but longer delivery times, Weezy offers a 15-minute delivery service & customers seem to be willing to pay for convenience! Wheezy also has a delivery fee of £2.95, which is at least £1 more than other platforms.
  Supermarkets like Ocado are now playing catch up to compete with Q-Commerce and quick delivery services. Ocado has launched a new “Zoom” service promising delivery in 60 minutes, and Amazon is now delivering “same day” groceries (but both have a minimum spend of £15)
Which Retailers were the quickest to make price changes?

Average price change across months by Retailer

Competitive pricing is critical to winning the eCommerce race. Competitive pricing involves tracking your competitor’s pricing & strategically tweaking your own prices without hurting margins. We tracked the month-wise average Price change from Jan – June across all 5 retailers to see which retailer was making price changes and at what frequency.
- The main observation was – across all 6 months, all retailers were likely tracking each other’s prices and making minor price changes accordingly – the need of the hour in this hyper-competitive environment.
- Gorillas made significant changes to prices between Jan & Feb. And Getir in the May/ June time period.
Discounts & Promos in a turbulent UK Grocery Market

Average discount across months by Retailer

Although customer acquisition starts with building awareness, discounts are a proven way to attract customers quickly. When approached with the right strategy, promotional discounts can promote long-term customer loyalty, drive customer acquisition, and improve customer lifetime value. However, deep discounting can risk margins and create more problems than benefits. We wanted an insight into discounting trends in the Grocery space, so we looked at our data. Here’s what we saw:
- Getir offered by far the highest discounts compared to Ocado & Gorillas. In fact, in most cases, they offered discounts close to 2-3% higher than the retailer with the 2nd highest discounts!
- Our data showed that Gorillas offered the lowest discounts. As reported in The Sun & other sources, newer Q-Commerce players like Gorillas have been showering users with discount codes, and that is why this data surprised us!
We went & looked back at the Price Index earlier in this blog, we noticed that Gorillas had a low price index overall, with most products priced at a 90%, way below other retailers. Perhaps this already lower price is why they’re offered very few discounts?

Conclusion

The UK grocery delivery market saw a huge rise in new retailers who are currently fighting for better discounts, competitive prices, and quick delivery. Although Tesco and Ocado were the price leaders in our findings, new players like Gorillas, Weezy, and Getir are attracting customers with quicker delivery times and low delivery costs.
July 24, 2022
The Role of eCommerce in Sustainable Fashion

Today, environmental damage is rapidly occurring on a global scale. And there are many reasons and causes for this. Global warming is one, deforestation, over population are some others. The list is long. In a small way, the retail & clothing industry contributes to environmental damage too. The good news is that sustainable fashion addresses this issue. Sustainable clothing is designed using sustainable fabrics like organic cotton, hemp, and Pima cotton that have less of a negative impact on the planet.

Sustainable clothing and its benefits

In this blog, we will discuss the rise of sustainable clothing and its benefits. We will also discuss marketplaces for sustainable fashion.

Benefits of Sustainable Fashion

a. Reduces carbon footprint

The fashion industry emits numerous greenhouse gases annually. Most clothes are made from fossil fuels and require significantly more energy in production. Sustainable brands often use natural or recycled fabrics that require less chemical treatment, water, and energy. Organic fabrics such as linen, hemp, and organic cotton are biodegradable and environmentally sound.

b. Saves animal lives

Leather isn’t a by-product of the meat industry, and it’s estimated that it alone is slaughtering and killing over 430 million animals annually. Sustainable fashion brands are increasingly embracing the use of cruelty-free alternatives. Various alternatives include polyester made with ocean trash, plant-based compostable sneakers, bags from recycled seatbelts, silk created from yeast, and bio-fabricated vegan wool. Another interesting leather alternative comes from pineapples, where the fabric is produced using the leaves of pineapples.

c. Requires less water

Water is used in the dyeing and finishing process for nearly all items in the fashion industry. It takes 2,700 liters of water to produce a single T-shirt. Cotton is highly dependent on water but is usually grown in hot and dry areas. Linen, hemp, Refibra, and recycled fibers are some other sustainable fabrics that require little to no water during production.

d. Supports safer working conditions

Endless working hours, unacceptable health & safety conditions, and minimum wages, are the reality for most garment workers in the fast fashion sector. A few informative documentaries like “The True Cost” or “Fashion Factories Undercover” document the social injustices of the fast fashion industry. Eco-ethical brands advocate for sustainable fashion, health care, humane working conditions, and fair wages for their workers.

e. Healthy for people and the environment

Fast fashion products often undergo an intense chemical process where 8,000 types of chemicals are used to bleach, dye, and wet process garments. Those chemicals often lead to diseases or fatal accidents for workers and inflict serious congenital disabilities on their children. These chemicals harm our health, as our skin absorbs anything we put on it.

5 Sustainable & Ethical Online Marketplaces

Here is a list of five earth-minded and socially responsible marketplaces that have sustainable and fair trade brands for the discerning and mindful shopper:

1. thegreenlabels

Netherlands-based webshop thegreenlabels is a sustainable fashion retailer that sells sneakers, womenswear, and accessories from various “green labels” brands. Founded in 2018, this is a marketplace where people can buy products from brands that care about a positive impact on the environment. All brands featured here guarantee fair working conditions and represent at least one of these 4 values – “CLEAN PROCESS” environmentally friendly production, clothes that support “LOCAL” communities, “VEGAN” brands to assure no animals were harmed and “WASTE REDUCTION”

2. LVRSustainable

LVRSustainable

Luisa Via Roma started as a family-owned boutique in the early 1900s. They have grown into a luxury e-retailer and created an LVRSustainable section for people trying to insert sustainability into their wardrobes. They have brands rated ‘Good’ or ‘Great.’ The site offers a wide range of products like bags, accessories, sports, shoes, lingerie, and much more for men, women, and kids. You can find organic, vegan, eco-friendly, ethical, and recycled & upcycled items here.

3. Brothers We Stand

Brothers We Stand

Brothers We Stand is a retailer set up in solidarity with the people who make our clothes. This retailer conducts rigorous research to ensure that every product in their collection meets the following three standards: designed to please, ethical production, and created to last. It’s a great platform to shop for ethical and sustainable menswear. They also have their private clothing line along with other brands.

4. Labell-D

Labell-D was launched with a clear mission to reduce the negative impact of fast fashion on the planet. This retailer wants to make Responsible Fashion the new norm. They intend to make sustainable clothing and fashion easy for both brands and consumers. Labell-D has a transparent accreditation process where they evaluate the brand’s carbon footprint and environmental impact. Their verification assessment includes animal welfare, emissions, materials, production processes, chemical usage, waste management, and traceability.

5. Cerqular

Cerqular wants to make sustainable shopping affordable and accessible for all. The retailer promises that every product and seller is verified as organic, recycled, sustainable, carbon-neutral, eco-friendly, vegan, or circular. They have a wide range of sellers and do not limit products only from luxury brands, so sustainable shopping is no longer expensive or inconvenient.

Conclusion

The fashion industry is a contributor to worldwide carbon emissions. Sustainable fashion is the new big thing giving rise to more and more sustainable brands and marketplaces.

To stand out and shine in the crowded eCommerce space is not easy. Having a robust Digital Shelf becomes critical for brands. A brand’s Digital Shelf is all of the ways their customers digitally interact with the brand, not only on marketplaces but on the brand’s DTC website & shoppable social media. This is why brands need to closely track & optimize their Digital Shelf KPIs like assortment, availability, pricing, ratings & reviews, product discoverability & product content to increase their online sales.

Want to learn how DataWeave can help you win the Digital Shelf? Sign up for a demo with our team to know more.

July 18, 2022
U.S. Prime Day Deals 2022: Promotion Intelligence First Look

As inflation hits another 40-year high at 9.1 percent, U.S. consumers geared up for their first sign of hope and relief in the form of anticipated discount buys – 2022 Amazon Prime Days, or so we thought. While Prime Days have grown to become a promotional period almost as important as Black Friday to digital shoppers, the combination of economic uncertainty, inflationary pressures, and supply chain challenges seemed to alter the discount strategy expected given activity seen during 2021 Prime Days.

Our analyst team has been hard at work aiming to provide a ‘first look’ at 2022 Prime Day Promotional Insights, tracking discounts offered across 46,000+ SKUs within key categories like Electronics, Clothing, Health & Beauty and Home, on seven major retailer websites – Amazon, Target, Best Buy, Sephora, Ulta, Lowe’s and Home Depot. Our analysis compares prices seen during Amazon Prime Day 2022 on July 12^th, to pre-Prime Day maximum value prices seen in the ten days leading up to Prime Days, to determine the average change in discounts offered during the promotional period. Below is a summary of our findings.

Competitive Promotions Give Amazon a Run for their Money

Amazon offered the greatest average discount enhancements for Electronics at 5.6 percent followed by Health & Beauty items at 5.1 percent, and Home products at 4.2 percent versus pre-Prime Day discounts seen across the categories considered within our analysis. The only category reviewed where average discounts were greater on a competitor’s website was on Target.com within the Clothing category. As seen below, Clothing on Target.com average discounts were 6.8 percent greater than pre-Prime Day offers, which was 2.6 percent higher than the average discounts offered for Clothing on Amazon.

Target Capitalizes on Growth Opportunity in Clothing Category

Diving deeper into the details of where Target won within the Clothing category, you can see a majority of their promotional activity took place within Women’s Accessories where discounts offered were 18.5 percent greater than those seen pre-Prime Day 2022, which was almost 15 percent greater than the discount enhancements seen on Amazon for Women’s Accessories. In fact, Women’s Shoes and Sneakers were the only two categories where the average discounts offered were greater on Amazon than on Target.com.

Overall, the discounts offered on Target.com within the Clothing category were primarily concentrated within items priced $40 and lower, but what was most interesting is that within the $10 and under price bucket, Target offered average discounts of over 11 percent whereas Amazon increased prices for these items on average by over 9 percent.

While most of the Clothing available on both Amazon and Target.com during Prime Days 2022 were offered without a price change, the greatest discount percentages tracked were within the range of 10-25 percent off on Amazon whereas Target chose to offer the bulk of their promotions at 25 percent off an up.

Strategic Promotional Strategies Defined at the Electronics Subcategory Level

When it comes to the Electronics category on Prime Day, the big question is always who will win the battle of the brands. Below shows the difference in average pricing and promotions discounts offered between products manufactured by Samsung versus Apple across each retailer platform, noting discounts were almost 3 percent greater on average for Apple versus Samsung products on Amazon, and Apple discounts were almost 5 percent greater on Amazon versus than those seen on Target.com.

Amazon wasn’t going all in on Apple however, as we saw ‘Alexa’ devices (Amazon products) available on Best Buy and Target websites also, but the discounts were almost 4 percent greater on Amazon versus Target and over 7 percent greater than the discounts seen on BestBuy.com.

While the average discounts offered within the Electronics category were greatest on Amazon (5.6 percent) versus Best Buy (3.9 percent) and Target (3.4 percent) as noted within the first chart of this blog and across brands and technologies considered above, the discounts offered on Amazon were strategically focused between 10-25 percent as seen below.

Amazon’s Electronics promotions were also targeted at smaller price points, items priced between $20-500, whereas Best Buy and Target offered greater promotions for electronics priced $500 and up than Amazon.

Below is a snapshot of price buckets tracked for Electronics available on BestBuy.com, highlighting where most of the promotional activity was targeted at products priced $50 and up during Prime Days 2022, with discounts ranging from 10 percent up to greater than 25 percent greater than pre-Prime day prices.

The standout categories were TVs on Target.com with discounts averaging nearly 12 percent greater than those seen pre-Prime day, and smartphones on BestBuy.com with discounts averaging just over 11 percent greater than those seen pre-Prime Day. The category with the greatest average discount enhancements seen on Amazon during Prime Days 2022 was for Wireless Headphones with an average discount of 8.7 percent.

Home is Where Amazon’s Heart Was on Prime Day

Amazon dominated offers within the Home categories, especially for products within mid ($40-100) and higher price ranges (items priced $200-500), with the bulk of the discounts offered between 10-25 percent. There was little to no promotional activity seen across all price points on Lowe’s or Home Depot’s websites within the categories we tracked, and most other competitive offers on Home products were seen on BestBuy.com for products priced from $50-500. Even a subcategory like Tools offered deeper average discounts on Amazon (4.7 percent) than discounts seen on HomeDepot.com (1.1 percent) or Lowes.com (0 percent).

For Large Appliances, Amazon was the only retailer to off any significant discount across each major subcategory with the greatest average discount being on Ovens at 6 percent, followed by Refrigerators at 4 percent. One caveat with this category, when we reviewed Large Appliance prices two weeks prior to Prime Days, we saw average price increases around 16.7 percent occurring on Amazon.

During Prime Days 2022 however, Amazon also offered top average discounts for small appliances, except for on Instant Pots which appeared to have greater average discounts on Target.com (5.9 percent versus 4.2 percent on Amazon), and Vacuum Cleaners which appeared to have the best promotion of appliances small and large at 13.8 percent average discount on BestBuy.com. Another subcategory deeply discounted on BestBuy.com was weighted blankets, which averaged discounts around 18.5 percent versus Amazon’s average discount at only 6.2 percent.

Health & Beauty Retailer Pricing Strategies Revealed

Given the importance Health & Beauty Brands placed on Prime Day sales last year, we had anticipated to see more offers, especially within pure-play beauty retail channels, than we did for this booming category.

Amazon drove most of the Health & Beauty offers seen averaging 5.1% discounts versus other retailers only offering less than 1% on average, but discounts were aimed at a targeted group of SKUs on Amazon, bringing the average discount lower overall. Most of the promotions offered on Amazon fell within mid-range price points ($20-50) and were discounted between 10-25 percent versus pre-Prime Day prices.

Target.com offered the most comparable discounts to Amazon for Health & Beauty products on average, but their strategy primarily focused on items within the $20 and lower price range with discounts ranging primarily between 10-25 percent.

More 2022 Prime Day Insights Coming Soon

We know the significance visibility to critical pricing and promotional insights play in enabling retailers and brands to offer the right discounts to stay competitive, especially during promotional periods like Prime Days. While this blog is intended to provide a ‘sneak peek’ into 2022 Prime Day insights for the U.S. market, we will be providing more extensive, global coverage and will proactively share new insights with the marketplace as they become available throughout the month of July.

Be sure to also check out our Press page for access to the latest media coverage on Prime Day insights and more. Don’t hesitate to reach out to our team if there is any particular category you are interested in seeing in more detail, or for access to more information on our Commerce Intelligence and Digital Shelf solutions.

July 14, 2022
7 Key Metrics that QSRs want (but may not get) from Food Delivery Apps

The Quick Service Restaurant market is projected to be valued at $691 billion by 2022. As the QSR industry grows and the market becomes even more competitive, restaurant chains continuously seek ways to increase sales via food aggregators to market their business. To improve ROI and sales, having data and insights into key metrics could help QSRs to boost their success rate.

QSRs would like to know how they stack up against their competition regarding discoverability on cluttered food aggregator apps. Restaurants want to know the gaps in their product assortment to understand what drives customers to their competitors. Getting insights into delivery time and competitors’ delivery fees will help QSR improve delivery ETAs and optimize fees. They can also set competitive pricing with insights into their competitors’ pricing. In addition, they can use data to optimize their ad spending on food apps and improve marketing ROI.

In this blog, we will discuss the relationship between QSRs and food aggregators and how getting data about key metrics from these food delivery platforms can help QSRs scale their revenue.

Data: The Key Ingredient to increasing sales

According to Statista, online food ordering revenue is expected to grow at a robust CAGR of 10.39% between 2021 and 2025. Food Aggregators apps like Uber Eats, DoorDash, and GrubHub offer convenient meal delivery options from various QSRs within a single app. Food aggregators provide a multitude of benefits for QSRs. They give access to a huge customer base, quick delivery, and an easy entry into quick commerce, helping QSRs increase visibility. Although QSRs rely on food aggregator platforms for hassle-free ordering, tracking, and delivery, they can’t always rely on them to share critical data that could help them optimize their operations & increase sales.

Online food ordering revenue

1. Data on Product Assortment

QSRs need assortment insights to understand their competitor’s menu assortment. Assortment analytics plays a crucial role in ensuring that QSRs aren’t losing sales because their competitors are offering cuisines and dishes that they aren’t. Understanding gaps in menus helps QSRs to better plan their menu. However, food aggregator apps can’t share competitors’ assortment data with QSRs for a multitude of reasons, guidelines, and privacy laws. Thankfully, at DataWeave, our QSR intelligence solution can! We help restaurants improve their assortment by sharing insights into the dishes and cuisines their competitors’ have on display.

Menu Assortment

2. Data on QSR Discoverability

QSRs would love to know how to increase discoverability on food aggregators, as it will help them to appear ahead in search results and beat the competition. Improving visibility on these apps directly impacts sales and drives more orders for restaurants. Some aggregators offer discoverability information but give it on demand, usually after 20-30 days, making it irrelevant due to the enormous time gap. They also don’t provide information about the change in the discoverability of your competition. All these data points are so critical, and understandably so, Food Apps can’t share this level of information with restaurants. However, DataWeave’s QSR Intelligence solution can! It provides real-time discoverability insights into your restaurant and competitor’s visibility so that the data is actionable, and QSRs can use insights to improve visibility.

Read how DataWeave’s QSR Intelligence helped an American QSR Chain and how their ranking on search results page on Ube rEats, DoorDash & Grubhub impacted outlet discoverability & sales!

3. Data on Pricing & Promotions

Pricing a QSR’s menu is tricky. If you price too high, you’ll turn off new customers. If you price too low, you’ll cut margins & may even come off as low-qualify. Customer Price Perception is greatly influenced by the Price-Quality relationship. To add to this, restaurants are often up against stiff competition from restaurants with similar cuisine offerings so it’s critical that prices are competitive. Understanding competitor pricing doesn’t imply that you have to beat their prices. You can compensate for any price differences by offering higher quality cuisines, better customer service, and quicker delivery. Once again, food apps can’t share competitors’ pricing data with QSRs. But DataWeave’s QSR & Pricing Intelligence solution can! QSRs can use these insights to drive more revenue & margins by pricing their menu right.

4. Data on Delivery Time

QSRs must be able to deliver hot meals, in a timely manner to customers because customers want to quickly dig into the delicious food they ordered. Quicker deliveries within the ETA will also help earn the trust and loyalty of customers. However, food aggregators don’t share information on the delivery times with restaurants – not their own delivery time or their competitors. DataWeave can help QSRs to understand their peak hours and optimize their service to ensure quick ETAs. They can also get detailed insights into competitors’ delivery times to make sure they’re competitive. This is important because customers will often pick restaurants with quicker ETAs.

Read how DataWeave’s QSR Intelligence helped an American QSR Chain understand the correlation between delivery time & sales volumes

Delivery time trend by urbanity

5. Data on Delivery Fee

As a thumb rule, customers will always compare delivery fees across apps. They’re conscious of delivery dollars included in their bill and often choose a restaurant with lesser delivery fees. This makes it even more critical for restaurants to understand how they stack up against their competitors. Understanding competitors’ delivery fees could potentially help QSRs to optimize their rates. And once again, food aggregators can’t share information on competitors’ delivery fees with restaurants. However, DataWeave’s QSR Intelligence can provide all delivery-related insights – be it Delivery etas or fees.

Delivery fee trend by urbanity

6. Data on Ad Performance & ROI

Getting ad analytics will help QSRs better manage their budgets & increase the ROI on their Ad spends. For example, wouldn’t it be great if QSRs were able to understand which ad formats or promotions led to the most sales? Or which carousal ads had the most visibility in key zip codes where your QSR is expected to do maximum business? Or even insights into a competitor’s ads and promotions on food apps. Knowing this information will help restaurants spend sensibly when buying media on Food Apps & get the most bang for their advertising buck. Food apps do provide standard ad analytics – a number of clicks, CTR, and so on, but for more complex, insightful & actionable insights, there’s DataWeave’s QSR Intelligence!

Read how DataWeave’s QSR Intelligence helped an American QSR Chain understand the ROI delivered on ad spends across Food Delivery apps.

Insightful & actionable insights for QSR Chains

Insightful & actionable insights for QSR Chains

7. Data on Outlet Availability / Availability Audit

To avoid lost sales, being available & “open for business” on Food Apps during peak lunch & dinner hours is critical. Also on weekends, when order volumes are usually high. Sometimes because of technical glitches, QSR outlets appear unavailable on Food Apps. A glitch like that can lead to lost business, and the longer the glitch stays undiscovered, the greater the impact on revenue. While Food Aggregators do their best to make sure all QSRs are up and running on their app, using DataWeave’s QSR Intelligence, restaurants can now do an outlet audit to make sure that’s the case. With just a mere 2.8% unavailability, we saw a 28% drop in the sales for one of our QSR customers! That’s how critical Availability insights are.

Conclusion

Analyzing and optimizing sales, delivery, discoverability, availability & customer data is one of the fastest ways to help grow your QSRs revenue. However, the biggest challenge QSRs face is that it isn’t always easy to get this information. With DataWeave’s QSR Intelligence now some of that data is a little more accessible as we discussed in this blog. And additionally, here are the 7 Tricks we recommend QSRs to use to win on Food Apps.

June 15, 2022
eCommerce in South Africa: Data-Driven approach to getting ahead
What an exciting month we’ve had at DataWeave! Our team flew down to gorgeous Cape Town, South Africa to attend the 8^th edition of #EcomAfrica! After months of Zoom calls and virtual events, it was a refreshing change to see our customers in person and meet some of the movers and shakers in eCommerce and some of the top South African brands.

Top eCommerce Companies in South Africa

My last visit to South Africa was before the pandemic. Things have changed since then, & the difference was stark! The eCommerce landscape had a paradigm shift during Covid-19 and grew exponentially. My customers spoke to me about the new opportunities, growth potential as well as challenges that came in because of this boom. For one, eCommerce in South Africa has become more competitive than ever – from online retail to grocery and food delivery to even alcohol delivery! All retail businesses seem to have jumped onto the eCommerce bandwagon.

A recent Deloitte report found that over 70% of South Africans shop online at least once a month & 2 out of 3 respondents said they plan to increase their frequency of online shopping. 65% said they know what they want, search online & check all stores that stock the product to compare prices. Price is one of the key factors that influence consumer purchase decisions. Other critical factors include delivery fee, delivery time, promotions & discounts & product assortment to name a few. In order to stay ahead in this highly competitive arena, both retailers and brands need to make data-driven decisions about critical KPIs like pricing to stay ahead of the competition.

Increased Online Shopping & Online Shopping Frequency

We’ve been working with customers in South Africa for over 4 years now, even before the pandemic. So on Day 2 of the event – S.Krishnan Thyagarajan “Krish”, President & COO, Dataweave had a chance to share our learnings and experience from all these years and how user data is critical to getting ahead & winning the eCommerce race in South Africa.

For the purpose of Krish’s keynote address, we tracked pricing insights for a finite set of categories across key South African retailers like Checkers, Pick n Pay, EveryShop, Incredible, Makro, Waltons, Shoprite & Dis-Chem to name a few over a period of 16 months from Dec 2020 to April 2022. We highlighted price increase and decrease opportunities and how each retailer reacted in order to stay competitive, increase sales and protect margins.

BATTLE of the eCommerce GIANTS!

Key Highlights from the Keynote
- Increasing prices where an opportunity exists helps retailers increase their margins exponentially. Pick n Pay had the highest action rate (73%) when it came to capitalizing on price increase opportunities v/s Dis-Chem at 11%.
- When it came to price decrease opportunities (in order to stay competitive with rival brands) Takealot was the most responsive retailer – they capitalized on 30% of the opportunities, followed by Pick n Pay at a close second (28%) and Shoprite & Dis-Chem at just 4%.
- Most retailers took between 1 – 5 days maximum to make price changes which means responsiveness to the market among all retailers is high making it more important for online retailers to always be on their toes.
- The 2 categories where most retailers capitalized on Price Increase Opportunities were Sauces & Condiments and Crackers & Biscuits.
Want to watch the Keynote video on Demand? Click here to register & watch.

Price Increase & Decrease Opportunities

Bonus video content!
- Watch the Impact of price increase & decrease opportunities on Private Label brands!
- See how product stock availability impacts price changes over a 16-month period.
- Find out which brands are in the lead in the Skin Care, Pet, Baby, Laundry & Cleaning Aid categories
If you’re an online retailer in South Africa & need insights on staying competitive with the right pricing, product assortment, delivery time, delivery rates, and the other key influencers that affect customers’ choice of online retailers, sign up for a demo with our team at DataWeave to know how we can help!
June 6, 2022
How Inflation has hit the Retail Industry

Inflation has resurfaced after a decade of tranquil price increases. The persistent COVID-related supply chain disruptions have been a driving factor in increasing consumer costs since some commodities are harder to come by. While inflation is a normal economic phenomenon, the current 3.81% inflation rate has increased the cost of living for families across the globe.

Global Inflation Rate. Source: Statista

Worldwide inflation is expected to remain near 5.0% in early 2022 before gradually easing in response to industrial and agricultural commodity price declines. Additionally, the global consumer price inflation peaked from 2.2% in 2020 to 3.8% in 2021 and will average 4.1% in 2022 before subsiding to 2.8% in 2023.

In this blog, you’ll learn about the impact of inflation on the Retail Industry.

What is Inflation?

Inflation is an economic term that describes an overall increase in the price of goods and services in an economy, and a by-product of inflation is the devaluation of the currency used within that economy. For example, a clothing retailer that used to pay $8 for a t-shirt two years ago will now have to pay $10 for that exact product. The t-shirt hasn’t changed at all. However, it has become 25% more expensive. Inflation and the devaluation of currency are part of the reasons why they’d now pay $2 more for that same T-shirt.

Also Read: Top 7 strategies to sell effectively on Amazon

Impact of inflation on Retail

FMCG

The Fast-moving consumer goods (FMCG) sector will continue to grow because there is growth in household goods spending despite the Russia-Ukrainian crisis, global interest rate, and rising fuel prices. In fact, the demand for consumer packaged goods rose sharply in countries heavily affected by the pandemic. However, the FMCG sector will see a rise in prices of commodities because crucial resources such as cooking oil, tea, cocoa, etc., become scarce. The persistent shock to the supply chain has forced various FMCG companies to increase their prices. For instance, Mondelez, a Fortune 500–listed snack and beverage company, announced a 6-7% price increase.

Inflation for Fashion & Pharma Industry

Fashion

The global fashion industry posted a 20% decline in revenues in 2019–20. Inflation in fashion is caused by transportation bottlenecks, material shortages, rising shipping costs, and straining supply and demand. The global fashion industry will see complete recovery in 2022. COVID-caused supply and demand constraints have eased, but shoppers will have to reconcile to price jumps in everything from bags to shoes.

Pharma

Pharmaceuticals are recognized as an essential commodity and therefore have a massive impact on the household budget. Vizient has projected a 3.09% increase in the inflation rate in drug prices from July 1, 2022 – June 30, 2023. It shows how inflation has a direct impact on prescription drug costs. Notably, retail prices for some of the most widely used prescription drugs are expected to increase 2x as much as inflation. The demand for pharmaceutical drugs has been higher post-pandemic, ensuring that consumers’ total demand and spending in this vertical will remain unchanged.

Comparison of New, Used & Electric cars

Highest & Lowest Inflation in Beauty category. Source: nielseniq.com

Automotive

The rise of both new and used cars has been steeply increasing partly because of the shortage of semiconductors and the backlog from the closure of factories during COVID-19. According to the Bureau of Labor Statistics, there has been a 24.4% inflation in the used car purchase prices and an 8.8% increase in the new car purchase price. Rising oil prices across the globe and the historical oil crisis fuelled by the Ukraine-Russia war have strained many people’s budgets. However, the automobile market is seeing an uptake in demand for electrical vehicles (EVs). EVs represented 14% of car sales between January and June 2021.

Beauty

COVID-19 brought new challenges to the cosmetics industry, chief among this being face-covering required by law. In light of social distancing and lockdowns across the globe, consumers were buying less makeup. The rising cost of labor, energy, and raw materials used in beauty products have resulted in a “once-in-two-decade” backdrop for price hikes. The cost of palm oil, a common material in beauty products, has soared 82% in two years due to Indonesian labor shortages. Nevertheless, consumers will spend more time outside the house. Beauty price per unit changes shot up 17% in-store and online in 2021.

5 Things that will help retailers during inflationary times

1. Observe Competition

Retailers should follow their competitors closely—when they start to raise/lower prices, consider following suit. Using competitive data to gauge price changes will help in managing price parity. However, excessive discounts and lower prices to gain an advantage over your competitor could backfire in various ways. For example, low pricing may convey that your products aren’t as good as your competitors’, impacting your long-term brand image. Moreover, lowering prices to sell more doesn’t necessarily mean higher profits, especially during high inflation. To leverage this strategy effectively, retailers must first identify SKUs that have the highest impact on their pricing.

2. Build a structured and targeted pricing strategy

An effective pricing strategy that leverages differences in product, channels, and customers will help retailers to maintain long-term value for their business and customers. However, customers might react differently to a steep price increase. Broad price increases will demonstrate insensitivity and erode customer trust. Instead, retailers can thoughtfully tailor their inflationary price increases for each customer and product segment with a competitive pricing strategy. With a competitive and historical pricing strategy, brands can examine their customers’ end-to-end profitability and willingness to pay relative to a comparable peer set.

Price Competitiveness for the right items

3. Rethink commercial positioning

The pandemic and rise of inflation during 2020–2021 have profoundly impacted how consumers live and what they value. Understanding how your consumer’s needs have shifted and used a promotion strategy to manage today’s inflationary pressures is crucial. As new behaviors emerge post-pandemic, retailers must prepare for the potential top-line impact of demand shifts. Rethink commercial positioning and review marketing and packaging strategies, including the potential use of nonuniform and, in some cases, nonprice mechanisms.

4. Ensure price competitiveness on the right items

The Key-Value Item (KVIs) list should be reviewed again, considering changing shopper needs and habits during the pandemic, plus the supply and demand shock that the industry is currently experiencing. Price-sensitive and vulnerable shoppers are finding this inflationary period particularly tough, so brands might require an even deeper investment in KVI pricing. Reinvest base prices on essential products to drive volume for your best price-sensitive (PS) customers. Compete only where you need to be without overspending. Online channels should continue to reflect in-store prices and diverge during this time. Pricing Optimisation software enables best practices to simultaneously manage a high number of price increase requests.

5. Revisit promotions to conserve costs and preserve stock availability

Increasing the number of promoted products is a reflexive response to inflation, but it’s not the right response for building sustainable sales or longer-term loyalty. Inflationary times offer an excellent opportunity to reset promotional strategies to save money and margin. Retailers can increase sales and seize opportunities with a promotional pricing strategy. Increased promotional activity has a knock-on effect vs pricing position in high-low strategies and erodes overall value perception, creating a vicious circle of more promotions equals poorer value.

Conclusion

Today’s economic climate and associated pricing pressures are challenging for retailers and customers. Some companies have responded by announcing an increase in prices across product categories. Companies can manage pricing margins responsibly and profitably during inflation. Determining how and where new opportunities exist can help companies control inflation, drive growth, and remain profitable.

Need help to arrive at the right pricing & discounting strategies to counter inflation? Sign up for a demo with our team to know how we can help!

May 11, 2022
What is Customer Price Perception and why it is important
Finding the right price often requires a trade-off between margin and price perception. Brands may want to defeat competitors’ prices on all their products, but that can often lead to losses because sales directly link to price perception. Instead of trying to stay competitive across the board on all products, brands must identify key value categories (KVCs) and key-value items (KPIs) whose prices buyers tend to remember and price those products competitively. In this scenario, they can make up for lowered prices on key products by fixing higher prices on other products.

Consumers’ perception of price fairness largely determines their experience with a brand. Brands selling online can often have a disconnect between their prices and what customers expect their prices to be. However, that does not mean spiraling downwards by getting trapped in discounting cycles and heavy promotions that can harm your bottom line. Instead, brands require real-time monitoring across thousands of stock-keeping units (SKUs) to identify key categories and items they need to price with care. In this blog, you’ll learn about price perception and the factors that influence it.

What is Price Perception?

Price perception is the perceived worth of a product or service in the consumer’s mind. It is one of the leading variables in the consumer’s buying process. Buyers are unaware of the true cost of production for the products they buy. Instead, they make buying decisions based on an internal feeling about how much certain products are worth and which brand offers them the best value. To offer competitive prices and yet obtain a higher price for products, brands often pursue marketing strategies to improve the price perception of their brand and products.

Price Perception

However, brands should not fall into the trap of assuming that price perception is a competitor’s price index. It’s not about offering the lowest price on certain SKUs. Not every brand strives to offer the lowest prices. Some brands take a slightly different approach to ensure the right value for their products. For example, take a look at Trader Joe’s, a grocery chain that has never claimed low costs. They’ve always taken a holistic approach to their pricing and customers to build a loyal following. And it worked well for them. Trader Joe’s can boast one of a high-value perception score, despite not having rock-bottom prices.

Marketplaces such as Walmart and Amazon may not have the best prices on every item. Still, customer perception is that they will have the lowest prices and will often shift the share of sales towards such platforms over businesses that offer the same or even lower prices.

Some things to consider:
- What do your customers think of your brand?
- What are the key factors that are driving your customers’ price perceptions?
- Is your product mix properly aligned with your brand perception?
- Are you communicating the most important and relevant information to your customers?
- Is your message being received and understood?
- Who do your customers see as your competitors, and why?
Also Read: 11 Reasons why your eCommerce Business is fail

What is Price Positioning?

Price positioning is pricing products or services within a certain price range. It indicates where certain services or products lie in relation to competitors’ pricing and in the mind of different customers. A brand’s price positioning has a huge impact on whether the products are seen as priced low or not. The following is a great way to understand the price-value matrix:

Price Positioning

Your brand’s position in this matrix will depend on your pricing objectives, competition, and customer loyalty. Price positioning helps the marketing and operating teams understand customers’ perceptions of your brand and convince customers to buy your products. Brands need a holistic approach toward setting prices for their products in order to drive conversions through intelligent pricing and competitive insights.

Factors that influence Price Perception

Price-Quality Relationship

Price is often an indicator of product quality. The general rule is that the higher-priced products are perceived to have better quality, implying that brands should consider a rational quality-price relationship in their pricing or promo strategy. For example, it might not be best practice to have similar prices for both good and low-quality products because customers will perceive low-quality products as overpriced and might not purchase from you.

Price-Consciousness

Customers aren’t price conscious about every product. Instead, they are only price conscious about certain products under the best price guarantee or BGP. For instance, if buyers find your BGP products more expensive than your competitors, the cheaper products in your assortment will still be perceived as expensive.

Value-Consciousness

During markdown periods, ensure that you are not undermining the efforts to shape and maintain price perception by offering extreme or complex discounts. In an attempt to clear stocks, promotions simply confuse the shopping experience for customers and further deteriorate trust in your brand. Your promotional offers should keep price perception during the holiday season or clearance sales by offering a simplified promotional program. Start by understanding which price mechanics and SKUs work best for your target customer segment. You should also reduce over-communication on hero deals else buyers will assume that you incorrectly price products during new seasonal launches.

Prestige Sensitivity

Gerald Zaltman, a Harvard professor, argues that 95% of all purchasing decisions are subconscious. Luxury brands are a great example of how psychology directly links to price perception. Customers buy premium or luxury products to demonstrate their social status. In this scenario, buyers don’t hesitate to buy expensive products from certain brands even if they are explicitly overpriced. Thus, brands selling premium products will have to ensure pricing is coherent with buyers’ expectations.

Every customer wants to know they’re getting the best value. They use the highest and lowest prices in a range to understand how expensive a product or brand is. So, by removing high price point lines with low volume, customers will see more minor price points around the store. Brands must merchandise entry price points to help customers identify the lowest prices and improve the perception of their product ranges.

Product Range

How to adjust Price Perception

Here are three ways for brands to improve price parity:
- Marketing to influence Price Perception
An efficient pricing management strategy will focus on competitiveness and establishing the right price perception among your customers. You can influence customers’ price perception by improving the look and feel of your online stores since simpler designs are often reflections of lower prices. Another great way to influence price perception is to offer loyalty and reward programs that also improve brand loyalty and reinforces the vision of an economy store irrespective of the prices of your products.
- Competitive Analysis
Brands can understand price differences after a competitive analysis. Customers often search for similar products across brands to find the best deals, and you will be able to understand customer opinion through competitor analysis.
- Price Management Automation
A price monitoring platform can help brands to stay on top of promotions and discounts offered by their competitors. A price intelligence software will help brands associate products by similarity criteria and compare the pricing of their products with those of competitors. It offers a detailed view of the market and ensures that brands take care of their bottom line.

Conclusion

When a consumer comes across a similar low-priced product or service from a different brand, they may see it as a good deal or might perceive it not worthy of their time or money. What consumers think about your brand’s price is just as important as the actual price of that product. A buyer may sense a company as “upscale” and assume that they have high prices, or they may see a brand as a discount retailer whose prices are too high for its reputation. At times, consumers might also see cheaper alternatives as inferior. It’s not easy for a brand to understand its customers’ perception of price vs. value it offers. Brands need a long-term, dynamic pricing strategy that matches the demands and trends of a global, competitive market. And in order to drive sustainable growth, they need to make smarter pricing and promotion decisions with insights into competitive pricing.

Learn how DataWeave can help make sense of your and your competitor’s pricing & promotional strategies and help your brand build the right Price Perception. Sign up for a demo with our team to know more.
May 4, 2022
9 Things to Build a Thriving Fashion eCommerce Brand

According to the Statista Fashion eCommerce report 2021, the compound annual growth rate (CAGR) for online fashion is predicted to be 10.3% between 2018-2023. The widespread need for trendy fashion presents a challenge for fashion brands to succeed in a highly crowded and competitive space. With eCommerce shopping becoming more prevalent, fashion brands aren’t just competing for brick-and-mortar sales. Instead, they’re also competing for those late-night or impulse purchases from online customers.

Looking to 2022 and beyond, this blog will highlight 9 things to build a thriving fashion eCommerce brand:

1. Allow shopping on multiple channels

Breakdown of Shopping journeys in Apparel

Typically buyers from diverse age groups prefer different sales channels. Some prefer large retailers, and some choose web stores. If you know where your customers like to purchase your products, you can leverage the power of search engines and marketplaces to improve your sales. Multi-channel retailing helps fashion eCommerce brands to sell and promote products on a platform and device of the audience’s choice.

A brand should offer support and access to its products across all platforms, channels, and devices. It helps fashion brands to reach customers where they prefer to shop. If your customers prefer to shop on a computer or an app, your brand can offer a seamless customer experience.

2. Don’t sell on the Homepage

Your online fashion store homepage is more about increasing credibility and trust among potential buyers. Your ideal home page shouldn’t display products or their prices. Instead, it would be best to integrate promotional and marketing strategies on the landing page to encourage visitors to explore your product categories and the rest of the website. You should have an intuitive interface that makes navigating the pages easier. You can also use the homepage to promote seasonal offers and new launches. Fashion brands can also display customer reviews, awards, brand achievements, and web security trust seals to increase the conversion rate.

Don’t sell on the homepage

3. Product Descriptions with Unique Stories

Product descriptions often get overlooked or underutilized even though they are important for eCommerce businesses. Your products won’t sell with spammy and same product descriptions. The modern product description is all about communicating a product’s worth and value with a story that captivates your buyer’s attention. Identify areas where your content & images don’t align with your product or represent it in the best light. Make sure to deliver an enhanced consistent brand experience across all online channels to improve your conversions.

4. Focus on Review and Ratings

Rating & Review of a fashion brand

Customer reviews have a huge influence on a buyer’s purchase decision, especially in the fashion industry. Encourage your consumers to leave reviews on your brand website. Reviews help fashion brands to build trust for their products and convert customers. Legitimate customer reviews help your shoppers to get crucial insights into what previous buyers liked or disliked about a particular product.

However, you should stay away from paid-for or false reviews usually encouraged by unscrupulous sellers as they are easy to spot and hurt your rankings. You must remember that receiving reviews also includes dealing with negative comments. They should be used to improve your upcoming product offerings.

5. Sell Looks

The product can be combined with in the detail page

Successful fashion brands don’t simply sell individual products. Instead, they sell complete looks that inspire shoppers to purchase the entire stylish look. As an online fashion brand, you’re not selling clothes; you’re selling an elegant collection of wearable art. When visitors reach your online store, you should appeal to their fantasies and sentiments through aesthetic look books that are both pleasing and congruent with your brand. Most successful online fashion shops are inspirational and visual. Look books help brands pair their previous season items or dead stock with new stock and increase sales. Brands can also share these look books on social media or in their monthly newsletters to increase reach.

6. Provide Promotions and Offers

Fashion brands can take advantage of plenty of sales throughout the year, from New Year celebrations to Black Friday, Cyber Monday, and Christmas. Brands can leverage these high sales periods to sell looks and gift items to boost sales. Just make sure you’re measuring the effectiveness of your online promotions. Holiday and festive sales also offer an excellent opportunity to plan strategic discounts to get rid of old stock. Since trends in the fashion industry have been changing rapidly, you can use discounts to get rid of dead-stock or out-of-trend items each season.

7. Be active on social media

Social media is a way to promote your brand, increase trust among your audience, and entertain your audience with exciting content. You can also engage the audience by providing gift coupons or giveaways. Brands can promote products while keeping their audience engaged with engaging content and promotional offers.

Social media is a great way to get influencer support, either organically or through a paid partnership. Brands have to focus on every element of social media marketing strategy, right from choosing a platform, creating Instagram/Facebook shops, jumping on trends/events, and tracking customer sentiment.

8. High-quality product photography

Capture every detail of your product

Nothing is worse than ordering a piece of clothing online and not getting what you saw on the website. Not being able to accurately convey fashion products will hurt your bottom line. Fashion brands must use top-notch product photography that includes high-quality visuals, such as multiple angle views, 360-degree images of each product, accurate depictions of all color options, and the option to zoom in on product attributes.

High-quality product photography

A recent game-changer in the fashion industry has been including different sets of models to accurately feature clothes of various shapes, heights, and weights. Instead of displaying a dress in only one size, fashion brands can have multiple models wearing various sizes for the same article of clothing.

9. Stay up to date with new trends

Fashion eCommerce brands have to be particularly careful of continuously updating their product offering with the latest fashion trends for each season. They can boost sales with an in-demand product assortment. Continuously updated fashion inventory signifies that the brand is up-to-date with the latest fashion trends in the market and has unique products to offer. You can always get creative with new styling, better looks, and personalized product recommendations.

Conclusion

Fashion eCommerce is rapidly growing and transforming at a staggering rate as technologies continue to advance. Traditional fashion brands can now expand their reach from brick-and-mortar shops to digital and eCommerce platforms to reach shoppers across the globe. The new digital selling opportunities also come with considerable challenges – from staying up to date with ever-evolving trends to managing dead stock.
Are you a fashion brand that needs help monitoring your product content? Or measuring the effectiveness of your online promotions? Or decoding customer sentiment from reviews they’ve left for your products? Sign up for a demo with our team to know how DataWeave can help!

March 31, 2022
How VCs and Brand Rollups are using Data for faster Acquisitions
When it comes to brands – the biggest story of 2021 was the astronomical growth of Brand Roll-ups. For the uninitiated, Brand Roll-ups are companies that acquire multiple digital consumer brands and then scale these brands 100x by leveraging their own operational expertise across eCommerce platforms, Supply Chain, Warehousing, Marketing, and so on.

Thrasio is the poster boy for the Brand roll-ups and is valued at over 10 Bn USD.

Brand rollups have raised over $12 billion in 2021 and the trend only seems to be accelerating in 2022. Not only Brand Roll ups, but VCs too have been pouring money into digital brands. In India, 77+ brands have raised more than 2B USD in 2021. In the US this number is estimated to be north of $10 billion.

Cumulative capital raised by Amazon Aggregators

Scaling fast doesn’t come easy. It comes with its own set of challenges. So even with ample experience in running and scaling brands, Brand roll-ups are posed with unique challenges.

Challenge of Scouting the right brand

There are 1000s of online consumer brands and new ones are launching every day. Every Brand roll-up wants to be the first one to scout a brand – but this is not easy.

The challenge here is to identify & pick the right brands without having access to any sales or financial data. Every Brand Rollup has a wishlist with regards to the number of SKUs, price points, reviews, and ratings as well – but don’t have tools in place to scout brands with these criteria in mind. And across multiple platforms and categories, the problem gets more complicated.

This is an ongoing problem since a brand that was not selling well yesterday may start hitting higher sales numbers a week down the line – and that is why Brand scouting has to be a continuous process.

One way these aggregators have solved this challenge is by offering mouth-watering referral fees for referring a brand. But this is not a sustainable long-term solution.

Data Comes to the Rescue

What Brand Roll-ups need is a continuous and automated data first Brand Scouting solution to enable them to scout the right brands.
- What are all the brands in a category of interest?
- Which of these brands is within the filters of Number of SKUs, Price Range, etc.?
- Which brands have shown an exceptional rise in search rankings?
- Which brands have shown the most increase in the number of ratings and reviews?
- Which brands have the highest gain in the customer ratings?
- What are the estimated sales and market share of the brands?
DataWeave’s Brand Scouting solution solves exactly this.

DataWeave’s Brand Scouting Solution

DataWeave’s Brand Scouting Solution is a comprehensive solution to help Brand Rollups and VCs scout for the ideal brand that fits their acquisition profile. We leverage public data collected from multiple eCommerce platforms to get them the desired information on brands they’re looking for.

For all the focused categories (Typically 30-40) – we collect data of all the SKUs (Typically 15,000-20,000) and aggregate that at a Brand level:
- Ranking – Usually Brand Rollups are not interested in the Brands which are on the first page. But, they are interested in the brands which might be b/w 500 to 10,000 ranks but are showing an exceptional gain in ranking week on week.
Brand Discoverability & Ranking on Amazon
- Ratings – It’s important to look at brands that are showing high improvement in ratings or have consistently shown high ratings. The proportion of 5 stars vs. 1 star is an important metric here.
- Number of Reviews and Ratings – We enable you to find brands that have both high ratings as well as a high number of reviews. This is a very good metric to find the brands in a category that are getting exceptional customer love.
Brand Popularity Tracker
- Filters – We enable filtering in terms of – No. of SKUs, Price Range, Rating and Reviews and even can eliminate established brands so that you only see the brands which qualify your criteria. We also enable you to separately analyze brands that are buying sponsored ads in a category, so you have a clear distinction between organic and sponsored growth of these brands.
- Trends – What is important is not just the static performance on the day of analysis – but a trend analysis over a period of time to find the brands which are growing exceptionally.
Brand Score Trend, Average Rating trend & No of Reviews Trend

… but, wait there’s more.

We compliment Brand Scouting with three more solutions to provide the right context and further analysis needed to provide comprehensive insights into the category and platforms where you are scouting for brands:

Category Analytics: When you are looking at a category and the brands in that category, it is often important to understand how dynamic that category is. We can help analyze:
- If the category is crowded with more brands per product.
- Does it have space for new brands?
- What is the number of new brands entering that category?
- What is the number of new SKUs entering that category?
Category & Subcategory Evaluation

We can also help with benchmarking the category – to help understand how the brand that you are scouting is doing when compared to its category peers.

Rank Group versus Price, Rating & No of Reviews

Sales & Share: We can also provide a good directional estimate of the sales and market share of all the SKUs in the category wherein you are scouting for brands. These are estimates powered by our proprietary machine learning algorithms and can help you solidify your hypothesis around a blog or a category.

Revenue by Price Points

Sentiment Analysis of Reviews: Customer reviews tell more about the qualitative aspects of the SKU and the brand itself. Our algorithms can help understand what features of a brand or a product do customers really care about. We can answer questions such as:
- Which features are mentioned most commonly?
- Which features are mentioned positively or negatively?
- What adjective is used to describe that particular feature?
Customer Sentiment Analysis

The suite of Brand Scouting and complementary solutions is evolving rapidly as the space is evolving rapidly. We are supporting several VCs and Brand Roll-ups globally to scout for brands.

The best aspect about DataWeave is our ability to scout brands across 2,000+ eCommerce platforms globally across geographies. We are super stoked to be playing an enabler in the Brand Rollup revolution.

Beyond Brand Scouting – Digital Shelf Analytics

The challenge for Brand roll-ups is not over by just scouting and acquiring a brand. The journey is just about starting – the next challenge that the Brand Rollup faces now is to scale up these brands.

The challenge the Brand Rollup face is unique and very different from a single brand operator or even traditional CPG conglomerates.

DataWeave’s flexible product philosophy enables Brand Roll-ups to diagnose and measure the performance of multiple brands across multiple platforms in one dashboard.
March 3, 2022
How Restaurants can use QSR Intelligence to Drive Sales

Quick service restaurants (QSR) are not only about delivering great food. They also have to overcome challenges like delivery, logistics, and affordable pricing, especially since covid-19 has staggered the entire industry. QSR intelligence helps restaurants get real-time insight into their performance across food delivery apps. With QSR intelligence, restaurants can identify the highest paying buyers across customer segments, demographics, and locations. Data-driven insights will help QSRs improve performance, decrease delivery time, optimize ad budget, and increase food quality – all with the goal to scale revenue and increase orders through food apps.

The global fast food and quick service restaurant market are expected to grow at a CAGR of 5.1% from 2020 to 2027. The QSR industry is rapidly growing to encompass the changing needs of customers. 60% of U.S. consumers order delivery or takeout once a week and online ordering is growing 300% faster than in-house dining. With QSR intelligence, restaurants can get insights into metrics that will drive their profitability by helping them to fine-tune menus, enhance customer interaction, improve advertisements, and adjust inventory.

Benefits of QSR Intelligence

Continuous in-depth analysis of restaurant statistical data will help companies spot trends and devise strategies to improve sales via food apps. Here are a few benefits of QSR intelligence:

a. Improve estimates & minimize wait times

QSR intelligence can help with accurate sales forecasting. With big data, restaurants can track their popular dishes or combos for various meal times to minimize wait times and increase delivery speed. It can also inform restaurants about upcoming trends, especially during holidays and festivals. Keeping an eye for trends will play a significant role in maximizing efficiency during food preparation and ensuring accurate food delivery ETAs.

b. Location-based promotions

QSR intelligence allows restaurants to target customers based on their proximity to the restaurant. The food must be delivered at a particular time to the customers to enjoy the dish at the right temperature. QSRs can apply demographic intelligence to determine cancellation rates, delivery charges, and the proportion of demand and supply. These metrics will help QSRs to improve location-based promotions.

c. Increase ROI on deliveries

To increase return on investment through food deliveries, QSRs can track metrics like location-based promotions, various payment options, ratings, etc. Tracking these metrics will help QSRs offer accurate ETAs, improve operational efficiency, and personalize services, which will increase revenue. Restaurants will also be able to understand where they can adjust their profit margins to increase revenue while maintaining a cumulative level of success.

How to use QSR Intelligence

a. Assortment and availability

The more restaurants can understand what and how their customers eat, the better they will be prepared to service those demands throughout the day. For example, QSRs can calibrate the menu, ingredients availability, and kitchen preparation time depending on their customers’ orders for lunch and dinner. This also helps optimize daily workflow, such as reorganizing staff to lower labor costs, optimizing the supply chain for ingredient delivery, and revamping the menu to offer better dishes. Another way to ensure your availability is to analyze your busiest hours and adjust the staff and delivery workforce accordingly. For example, if your customers tend to order more during breakfast, it’s worth considering opening your restaurant a bit earlier.

Availability across 4 QSR Food Delivery apps

Availability trend during peak hours – Lunch & Dinner

b. Delivery time

One of the most driving factors for the success of QSR is delivery time. Restaurants have to ensure the food is delivered as quickly as possible so customers can consume it at the right temperature. Data-driven insights can help restaurants track repeat addresses, find shortcuts or time-saving routes, and avoid unfamiliar or low delivery locations.

QSRs have to analyze the entire delivery process from time taken to order on the app, how quickly kitchens can prepare orders, hand over to delivery partners, and get them to the customers. An essential part of QSRs is throughput, the speed at which they can process and deliver orders. During peak hours like lunch and dinner, faster service and quick ETAs ensure that customers do not choose other restaurants. If you have different menus for breakfast and other meals, ensure that your foodservice app can remove such menus when they are not available.

Delivery Time Analysis

Delivery Fee Analysis

c. Pricing and Promotions

QSRs have to understand customers’ price sensitivity while determining delivery costs and ensuring profitability for the business and delivery partners. Customers might look for free deliveries but not adding delivery charges might lead to loss. A deep dive into common transaction data across the locations will allow restaurants to understand the price sensitivity of all customer segments, helping them make intelligent pricing decisions.

QSR intelligence can also help restaurants determine which delivery locations are most profitable. This helps to adjust the delivery radius, fee, and promotions. Restaurants can offer promo codes, coupons, referral codes, etc., to attract customers and encourage repeat purchases.

d. Discoverability

Restaurants have to ensure that their dishes are on the first-page listing. With QSR intelligence on category analysis, keyword optimization, and competition analysis, restaurants can help their customers discover dishes. This also includes optimizing listings for pricing and rating and delivery fees and availability during peak times such as breakfast, lunch, and dinner.

e. Advertisement Optimizer

QSRs can use data to optimize the advertisement budget and adequately improve return on investment. They can track the visibility of advertisement banners across locations and optimize them for different times of the day. Data analysis can also help restaurants understand which customer segments are more likely to convert to long-term loyalists. This data will help QSRs design personalized campaigns and align advertisement budgets while converting them to long-term customers, further improving the bottom line.

Ad spends by identifying carousels with the highest visibility

Track QSRs performance across Carousels across multiple zip codes

f. Growth & Expansion

Upselling and cross-selling are two popular tactics that improve growth for quick-service restaurants. However, that requires a rich understanding of customers’ price sensitivity, preferences, and behavior. QSR intelligence can provide information about which upsell and cross-selling offers a customer segment is likely to value and which optimal channels for distributing the offer.

Conclusion

Quick service restaurants can track critical data points and use them to increase revenue and improve customer experience. Learning how to price, promote, and deliver food to customers during a pandemic can be challenging. QSR intelligence will help brands attract the right clientele, adjust inventory, reduce overall marketing costs, and increase order rates. This will also help increase customer loyalty across segments which can, in turn, increase the number of returning customers and profitability.

March 3, 2022
UK’s Biggest Sale Days: What we saw in 2021 and trends for 2022
Customers love discounts, and promotions are the most effective tool to attract shoppers and increase sales during the holiday season and clearance sales. According to a survey, 76% of UK customers look for discounts before purchasing a product. Promotional discounts encourage customers to try new brands. And this is why brands often have a special coupon for first-time users.

According to Software Advice, discounting tops the pricing strategy for retailers across all industries. It is preferred by 97% of survey respondents over other promotional strategies.

Share of Respondents

Retail Trends in the UK for 2022

The arrival of the Omicron variant in December 2021 slashed the shopping mood of UK customers and led to a 3.7% monthly drop in retail sales, but sales were still higher than February 2020 levels when Covid-19 first hit worldwide. Sales during the holiday season in 2021 took a hit due to a consistent decline in product availability and an increase in prices. Inflation too started to rise in 2021 and is expected to increase by 7% by spring 2022. However, despite inflation, retail sales jumped back in January 2022. In fact, it is predicted that inflation will be a key driver of sales growth, with underlying demand across categories being uneven. Keeping that in mind, let’s look at sales growth across categories in 2021 and projected growth in 2022.

Category Breakdown: Sales growth 2021/22

Discounting Trends we saw in the UK in 2021

Methodology
- We tracked prices on the three biggest Sales Days in the UK
  – Amazon Prime Day, June 21^st & 22^nd 2021
  – Black Friday, Nov 26^th, 2021
  – Cyber Monday, Nov 29^th, 2021
- Categories tracked: Beauty, Fashion, Electronics, Home Improvement, Furniture
- Websites tracked: Amazon UK, OnBuy, eBay UK, Etsy, Wayfair, Selfridges, John Lewis
Prime Day, Black Friday, and Cyber Monday are three of the biggest sales days with comparable discounts. However, according to new research, in 54% of cases, it depends on the category of product you’re after that determines the volume of discount you get. For example, tech items such as smartphones, laptops, games consoles, smartwatches, and wireless speakers were cheaper on Black Friday but may not necessarily have been cheaper on the other sale days.

We wanted to see which sale period had the most number of products on discount during the three big sale events. We also wanted to see which of those three sales would’ve been the best for consumers to get a higher section of products at a discount.

How Big were the Discounts?

Discount across 3 key Sale Days

32% of products went on discount during Black Friday, 35% on Cyber Monday, and only 6.6% on Prime Day. One factor contributing to the low Prime Day percentage is the fact that not all retailers participate in discounting wars during Prime Day since it’s an exclusive Amazon-only sale. Customers looking for the best deals would’ve gotten them during the holiday season with a combination of the Black Friday & Cyber Monday sales.

Another interesting thing to note is the percentage discount – on Prime Day, only 0.2% of products had a discount of over 50% of all the discounted products. While on Black Friday & Cyber Monday that number was 1.7% & 1.3% respectively.

In conclusion, more products were offered at a discount on Black Friday & Cyber Monday; and the total percentage discount on those products was also higher.

Which Categories had the Maximum Discount?

Discounts by category

On Black Friday, an estimated 47% of consumers in the UK planned to shop for electronics, whereas 40% of customers planned to shop for clothing and footwear during Black Friday to Cyber Monday. The top-selling categories across the 48 hours of Amazon UK’s Black Friday 2021 sale included Home, Toys, Beauty, Books, and Health & Personal Care.

Our data shows that Categories with the highest discounts were Beauty and Electronics with the highest discount on all 3 sale events. These 2 categories had discounts on over 40% products on Black Friday & Cyber Monday while categories like Home Improvement were in the 30 – 35% range, Furniture in the 27 – 32% range and Fashion has the least products on discounts at a little over 15%

In the fashion category in the UK, Amazon UK offered the highest percentage of items with a price decrease (31.6%), whereas eBay offered the most significant magnitude of price decrease (14.3%).

Which UK Retailers gave the most discounts?

OnBuy is an emerging marketplace in the UK that offers impressive discounted prices and is taking on top UK marketplaces like Amazon. It’s ranked Britain’s fastest-growing eCommerce platform in 2020 and also the fastest grower by traffic. The low listing fees starting at 5% allow sellers to competitively price their products, making them more accessible to a greater number of buyers with huge discounts. The most prominent deals and discounts are highlighted on the landing page and featured across OnBuy’s social pages to grab the audience’s attention.

Discounts by Retailer

This was clearly reflective in the data we gathered from the 3 big sales in 2021. Most retailers in the UK, including Amazon offered at best 20% of their products, in the categories we tracked, at discount. The only outlier was OnBuy – OnBuy offered close to 90% of their products at discount!

OnBuy was able to offer a comparatively high number of discounted products than their competition because the magnitude of the discount was much much lower. The platform offered minimal discounts; out of the 90% of discounted products, 80% of those products had discounts that were less than 10%. As opposed to other retailers who had under 7% of their products on discounts of less than 10%.

OnBuy’s discounting strategy built a perception that they were the biggest discounters, even when the discounts were not as deep.

Black Friday v/s Cyber Monday – which one was better for holiday shoppers?

Discount by category- Black Friday VS Cyber Monday

Black Friday kicks off the holiday shopping season and is synonymous with some of the most significant sales after Thanksgiving. But until recently, Cyber Monday has become a great way for eCommerce retailers to capitalize on holiday discounts and expand their most beneficial sales events of the year.

In 2021, retailers pulled in $8.9 billion in Black Friday online sales and a total sales of $10.7 billion on Cyber Monday. In the YOY review, Black Friday saw a decline of 1.3% from 2020’s record of $9.03 billion, and Cyber Monday saw a drop of 1.4%, only $100 million shy of $10.8 billion in 2020.

Across Beauty, Home Improvement, Electronics & Furniture categories, we saw that more products were on discount on Cyber Monday v/s Black Friday. However, the opposite was true for the Fashion Category. In the Fashion Category, we saw a marginally higher number of products on Discount during Black Friday than Cyber Monday.

Discount percentages across categories

Across both sales, the Electronics category offered the highest discounts at over 40% of products discounted compared to other categories on both Black Friday & Cyber Monday. However, a very small fraction of the products had a discount of over 50%, indicating the lack of ‘BIG blockbuster deals’ in this category. At the same time, the Fashion category offered the least number of deals with less than 20% products on discount, but the highest magnitude of discount across the board! On Black Friday, 3.8% of products had discounts higher than 50%, and 2.6% of products on Cyber Monday. In most other categories, between 1 – 1.5% of products had over 50% discount. However, Fashion brands offered more than 50% discount on 2x the average number of products on both sale days.

Why did the Fashion Category offer such high discounts? Brands are now capitalizing on customers’ need for instant gratification in the age of see-now, buy-now fashion trends by offering their products at high discounts. It also allows them to quickly eliminate overstock. However, this has given rise to fast fashion, a trend that focuses on rapidly producing low-quality clothes in huge volume. Fast fashion focuses on replicating trendy pieces like streetwear and fashion week designs, not four times a year but every week, if not daily. Fast fashion promotes brands to manufacture and sell low-quality merchandise that goes out of trend as soon as buyers wear it once. There is little to no time for quality control, and pieces are thrown away after a few wears. In the UK alone, 300,000 tonnes of used clothes are buried or burned in landfills each year. However, every element of fast fashion from rapid production, competitive pricing, to trend replication has a detrimental impact on the planet.

Conclusion

The effects of COVID-19 can be seen far and wide in the UK retail industry, especially with a steep rise in inflation. Fortunately, even though retail sales in the UK declined during the 2021 holiday season due to the Omicron variant, they increased during Black Friday and Cyber Monday. Sales also jumped back in January 2022 and are further projected to grow by 5% in 2022. Additionally, brands can sustain the impact of disruptive factors throughout 2022 by ensuring their Digital Shelf is updated and flexible enough to react swiftly to both threats and opportunities in order to maximize the chances of success.

Reach out to the team at DataWeave if you’d like to make smarter pricing & discounting decisions with up-to-date competitive insights.
February 15, 2022
Valentine’s Day eCommerce Insights

Access to these types of real-time digital marketplace insights can enable retailers and brands to make strategic decisions and help drive profitable growth in an intensifying competitive environment. Be sure to reach out to our Retail Analytics experts for access to more details regarding the above analysis.

February 11, 2022
What Historical Pricing Data can tell you & how to use it

For many brands, pricing strategy boils down to guesswork — shooting in the dark and hoping consumers are willing and happy to pay. However, the ‘throw it at the wall, and see what sticks’ pricing strategy leads to big pricing mistakes. Pinning down an optimal price for products requires a clear picture of ideal customers, understanding each customer segment’s behavior, a solid grasp of your product’s value, and an analysis of competitors. Pricing analytics can help brands track a wide range of pricing metrics with cutting-edge analytical tools and use insights to get ahead of their competition. This analysis uses historical data to understand how previous pricing and promotion activities affect brand, sales, and customer price perception. It often involves identifying opportunities and weaknesses in competitors’ pricing strategies and exploiting them to improve sales and revenue.

Pricing analytics helps brands understand how product pricing and promotions affect profitability and the steps they can take to optimize their pricing structures. Brands can leverage their pricing and consumer data to design appropriate pricing models for achieving their sales goals.

Here is a brief overview of pricing analytics, its benefits, and ways to improve sales with historical pricing analytics.

What is historical pricing data analytics?

Historical Pricing Data Analytics

Pricing analytics uses historical pricing and demand data to understand how pricing activities have affected profitability and overall brand. It also helps to optimize a brands’ pricing strategy for maximum revenue. Manual tracking of pricing for brands with numerous product lines, multiple selling points, different customer tiers, and complex product bundles is a huge challenge. Brands from every sector and industry vertical, manufacturing and distribution to retail and eCommerce, can benefit from pricing analytics.

There are three types of pricing analysis:

Descriptive

Descriptive pricing analytics involves analyzing historical data to evaluate how customers have perceived and reacted to pricing fluctuations in the past. It analyzes metrics such as month-on-month sales growth, average revenue per customer, year-on-year pricing changes, or changes to the number of registrations to a particular service over a specific period.

Predictive

Although brands can’t accurately predict how pricing changes will reflect sales, they can use predictive pricing analytics to get insights into the best possible chance of doing so. Predictive pricing analyzes historical data with statistical algorithms and machine learning to predict the price and trends of products in the future. It also helps brands to optimize their prices with future goals.

Prescriptive

Prescriptive pricing analytics is the opposite of descriptive analytics. Unlike descriptive analytics that helps brands explore their historical data to understand customer response after an event, prescriptive analytics help brands design better and more informed strategies. With prescriptive analytics, brands can shape their growth strategies to achieve more sustainable results over the long term.

Benefits of historical pricing data analytics

Benefits of Historical Pricing Data Analytics

Acquire insights into customers price perception

While analyzing the metrics to understand pricing optimization, brands can also gather valuable insights into their customer’s price perception. Pricing analytics helps brands understand which customer segments are the most (and least) profitable and how each segment responds to specific pricing strategies. With historical pricing data analytics, brands can also intelligently link pricing and promotions by first determining customer price sensitivity then gauging the effectiveness of promotions.

Fully Optimized Pricing

Historical pricing analytics means eliminating guesswork from deciding the optimal pricing for a given product. By analyzing historical pricing data, brands can discover how their past pricing and promotional decisions impact profitability. Based on this historical data, they can also test various pricing strategies like value-based and dynamic pricing. It also allows brands to learn which customer segments are most likely to respond positively to price change. These insights from pricing analytics will drive more effective (and profitable) pricing decisions.

Recognize pricing tiers that work the best

Many brands have gaps in their pricing strategy — underpriced or overpriced tiers, pricing leaks, markup errors, or neglected upsell opportunities. Tiered pricing models are prevalent in subscription-based brands where brands offer tiers to meet the needs of diverse customer segments. With historical pricing analytics, brands can improve their pricing tiers and get insight into the right number of tiers and optimal prices for each. Pricing analytics will comb a brand’s historical data to find tier pricing mistakes to improve sales and revenue.

Planning Pricing Strategies and Promotions

Promotional pricing decisions are critical for any brand, as pricing perception is directly linked to consumer demand and profits. Brands have to carefully plan promotions that include variables such as list prices, special offers, advertisements, and discounts while ensuring profit margins. With predictive analytics, brands can determine optimal discount levels, keep a close eye on the competition, and announce promotional offers when customers are likely to purchase. Historical pricing analysis also helps predict revenue and determine optimal locations and platforms for promotional ads.

Discover profitable channels

Not all sales channels bring equal revenue to your brand. Historical pricing analysis can help you determine the most effective quality, volume, and revenue channels. Brands must understand which marketing and sales channels bring quality leads that convert to paying customers. It also helps to determine which eCommerce channels are most profitable so you can optimize your budget and identify channels you should be investing in as a part of future customer acquisition strategies.

Metrics to track

Metrics to Track

Here are a few pricing analytics metrics that can help brands to understand customer behavior towards pricing:

Willingness to Pay (WTP)

WTP, also known as price sensitivity, is the maximum price your potential customers are willing to pay for your service or product. It is an essential part of pricing strategy since you have no other way of understanding whether your product can yield an augmented product value. Numerous factors are responsible for a customer’s willingness to pay, and it’s not static. Brands must track willingness to pay for all customer segments to ensure that the product is priced competitively and drives maximum profit while staying in line with current market conditions.

Feature Value Analysis

Feature value analysis, also known as relative reference analysis, measures the most important features to customers in relation to other features of a product or service. Analyzing critical features to customer segments will help brands price products based on basic or premium components. It can also help to better bundle your services or products so you can drive the most revenue.

Average Revenue per User (ARPU)

The average revenue per user is the revenue generated from the sum of active users divided by the total number of users in a monthly time frame. Delving deeper into ARPU can help brands compare numbers with rivals and check how all products or customer segments perform.

Lifetime Value (LTV)

Lifetime Value offers a complete picture of a user’s journey and the average revenue that the user will generate throughout their engagement as a customer with your brand. It helps brands determine various economic decisions such as marketing budgets, profitability, forecasting, and resource allocation.

Customer Acquisition Cost (CAC)

A successful and profitable brand needs to balance its customer acquisition cost or CAC. It is about spending the right amount of resources and time to drive new customers without jeopardizing their lifetime value and revenue. Correct calculation of CAC helps brands to quantify their sales funnel and determine the efficiency and profitability of their strategies.

Conclusion

Historical pricing analytics is a powerful tool, and it can make a huge difference to a brand’s potential by increasing sales and unlocking incredible profitability in a relatively short time. Historical analysis of pricing and promotions data will help brands get better marketing returns than relying on traditional pricing approaches.

Leveraging pricing analytics will prevent brands from blindly reacting to competitor price changes and support solutions for scaling up price transformation efforts. By using historical pricing data, brands can more effectively segment their customers for marketing and promotion strategies. Properly utilizing predictive analytics and past sales data can help cut costs and keep profit margins high by adjusting production and prices according to market trends.
Need help tracking your competitor prices? Or want historic pricing insights for your own brand? Or need to track the efficacy of your online promotions?
Sign up for a demo with our team to know how DataWeave can help!

February 11, 2022
Beauty & Grooming Brands that are dominating on Amazon India
Growing awareness of personal hygiene and changing lifestyles has contributed to a significant development of India’s cosmetics, beauty, and personal care products. The Indian cosmetic industry reached a value of USD $26.1 bn in 2020. The major boom in sales is because of rising digitization, social media marketing, and the advent of eCommerce beauty platforms. However, the increase in demand and technological advancements has led to a competitive landscape for Indian and international brands competing for digital and physical channels. As of February 2019, 18.92% of respondents spent between 700 to 1700 rupees, and 43.9% spent up to 700 rupees monthly on cosmetics and personal care products in India.

Monthly spend on Personal Care Products in India

Shattering stereotypes and gender norms, India is also seeing a revolution in the male grooming industry, which is expected to reach INR 319.82 bn by 2024. The D2C market is expanding beyond metropolitan cities, and at present both D2C brands and startups have launched over 177 new products for men. “We realized there is an opportunity to create India’s first experiential brand exclusive for men,” says Hitesh Dhingra, Co-founder, The Man Company. He adds ecommerce business has grown almost by 200 percent. In a similar vein, Shantanu Deshpande, founder, and CEO, Bombay Shaving Company, concurs and adds the pandemic boosted online sales. He says that it has become easier for the company to compete with big brands on marketplaces like Amazon and Flipkart.

With the onset of the pandemic, it has become more and more important for these D2C brands to have a strong digital presence and an even stronger Digital Shelf when selling on platforms like Amazon, Flipkart, Nykaa, and the likes. On these marketplaces, brands need to track critical KPIs like product discoverability, stock status & availability, reviews and ratings, pricing & promotions to make sure they’re optimizing product performance across all online channels to amplify their eCommerce growth.

So which beauty and grooming brands and categories have a strong Digital Shelf and are dominating on Amazon? Let’s take a look.

Men’s Grooming Brands and Categories

Methodology
- We tracked the first 250 products on Amazon against certain keyword searches specific to India’s Beauty & Grooming space.
  – Keywords specific to women’s grooming: anti-aging Cream, Face Mask, Paraben-free Shampoo, Onion Hair Oil, Body Wash, Moisturizer
  – Keywords specific to male grooming: Beard Oil, Hair Wax for men, Shaving Cream, After Shave Lotion, Beard Trimmer
- Share of Search (SoS) – The percentage of products that appeared on the search results page on Amazon belonging to a brand against a specific keyword or category.
- Data Scrape time period: From 14^th Oct 2021 to 10^th Nov 2021
THE BEAUTY IS IN THE DATA

On Amazon, brands use sponsored ads to increase visibility and drive more sales. When we looked at the product category with the most aggressive ad spends, products in the men’s grooming category came out on top and had the maximum number of sponsored products. 26% of beard trimmers were sponsored, followed by Beard Wax and Beard Oil at 25%. During the lockdown, more men started searching online for new products and watching instructional videos on how to groom their beards or how to get a salon-like shave at home. Demand for razors and trimmers is up by 50% compared to last year,” said Sidharth S Oberoi, founder and CEO, LetsShave. In contrast, we saw that only 11% of after-shave lotions and 15% shaving creams were discounted.

Percentage of Sponsered Items per Product Category

For women, we saw a similar trend. 24% of products in the Paraben-free Shampoos and Onion Oil category was sponsored. In contrast, only 5% of anti-aging creams were sponsored. Additionally, 21% of products in the face mask category and 23% in body wash were sponsored.

Competition is fierce in these categories, making an artificial boost necessary for increasing discoverability. In fact, we saw that the competition was the fiercest in the face mask category, which had the highest “1^st Page Change Rate.” It is an indicator of how much the results on the 1st page for a particular keyword change from time to time. This reflects higher competition and brands constantly updating their digital shelf KPIs to ensure their products appear on page 1. One of the biggest reasons why brands need to constantly gauge their online visibility is to track their sponsored & organic ranking compared to competitors.

Driving sales using a smart Discounting Strategy

Price can play a big role in the final purchase decision. So we looked at two things wrt price across all these beauty & grooming products.
- Which product Category had the maximum number of products on discount?
- … & how large were these discounts?
Percentage of Products on Discount

We saw that almost 55% of products in the body wash category & 46% of anti-aging creams were available at a discount. Beard Oil & Onion Hair oil had the least number of products discounted at 29% each.

Magnitude of Discount

How high were these discounts? Let’s take a look.

The highest discount was seen in the beard oil and moisturizer category, with an average discount of 17% across all products. The average discount trend across most product categories ranged between 14 to 17%, so we did see some consistency there.

Digital channels provide transparent insights into pricing & promotions, which is why customers are constantly comparing prices across various brands before making a purchase. This is why it is crucial for brands to remain competitive by tracking & comparing promotional strategies with those of their rivals.

To Review or Not to Review?

Consumers worldwide don’t make a purchase decision without reading online reviews. Online reviews and ratings have become a significant milestone in the modern consumer shopping journey, and eCommerce brands can leverage reviews as valuable sales tools. Given a choice between loyalty programs, discounts, reviews, and free shipping, online shoppers say reviews are the most important factor while making a purchase. Consumers trust user-generated content (UGC) more than product information and videos created by brands.

Number of Reviews per Product Category

We looked at product reviews to check consumers of which categories are actively sharing their experience and found that three categories stood out — beard trimmers, moisturizers, and paraben-free shampoo. At the same time, beard oil was the product category with the least number of reviews.

Companies can build consumer trust by identifying and acting on negative feedback. But in order to do that, they first need to de-code and understand the collective sentiment behind these reviews. DataWeave’s AI-Powered solutions can help brands break down & analyze online reviews and give them a wealth of insights to enrich their market research as well as create a seamless customer experience.

UNDERSTANDING THE COMPETITION ON AMAZON

When selling on Amazon, brands need to make sure shoppers find their products with ease. Keyword searches are the top ways consumers discover and find products across eCommerce sites. We tracked search visibility for the following keywords to see which brands had the highest share of search and appeared on the 1^st page on Amazon.

Be in any product category – moisturizers, shampoo, anti-aging cream, Mamaearth & WOW featured against most keywords, showing popularity among customers. WOW Skin Science raised $50 million in April 2021, and Mamaearth raised $50 million in July 2021. These two fresh-faced brands have built credibility among health- and environment-conscious users. They are big competitors when it comes to natural and toxin-free products. It’s their high product visibility in multiple categories that is likely leading to better discoverability, higher sales & increased valuation, and brand value.

Rankings of Top Brands in various cosmetic categories- (A)

In the male grooming space, we observed that established brands like Nivea, Old Spice, and Park Avenue had a lower share of search than new D2C brands like Beardo, The Man Company, Bombay Shaving Company, and Ustraa. Here’s clear proof of concept that brands need to evolve and adapt their Digital Shelf to selling online if they want to beat the competition.

Rankings of Top Brands in various cosmetic categories– (B)

Who were the Amazon Bestsellers?

Products on Amazon that have the highest sales in their respective categories are called Amazon Bestsellers. The Amazon Bestsellers rank is based on product sales and sales history where the list undergoes an hourly update. The bestseller ranking or bestseller badge is available in the product information section on the product page. The rankings are determined by comparing sales and historical data with products in the same category or subcategory.

Brands can make it to Amazon’s bestseller list by optimizing their listings, encouraging reviews, and listing products in the relevance of categories. Although Amazon does not consider reviews for product ranking, they help users convince them to buy your product.

Here are the Brands we say that made it to #1 on the Amazon BestSeller List for the following product categories.

Amazon Bestseller List

Gillette made it to the top in the aftershave lotion and shaving cream category, while D2C brands Ustraa made its mark bearing number 1 on Amazon Bestseller list for hair wax for men and beard oil.

Amazon Bestseller List

Products from Nivea and L’Oreal made it to #1 seller in 2 categories each. Interestingly, in the Paraben-Free shampoo category, when D2C brands like WoW, Mamaearth have a stronger value proposition, traditional brand L’Oreal had the best-selling product.

L’Oreal must’ve pulled various levers and built a robust Digital Shelf to get to the top – from optimizing their content, ensuring product availability, tracking ratings and reviews, and proper competitive pricing.

Conclusion

An increase in new D2C brands in popular and trending categories has led to increasing competition. Unless a brand can position itself in front of the target audience and command their attention right away, another brand can step in and grab the sale. Do you know if your brand is prepped and ready to make an impact on marketplaces like Amazon? Or simply just wondering if your Digital Shelf is optimized with the right price, discounts, reviews, and keywords? Our team at DataWeave can help! Reach out to our Digital Shelf experts to learn more!
January 7, 2022
2021 Cost-Push Inflationary Trends Ran Rampant, Impacting Holiday Discounts

Business has been anything but usual this holiday season, especially in the digital retail world. The holiday hustle and bustle historically seen in stores was once again occurring online, but not as anticipated given the current strength of consumer demand and the reemergence of COVID-19 limiting in-store traffic. While ‘Cyber Weekend’, Thanksgiving through Cyber Monday, continues to further its importance to retailers and brands, this year’s performance fell short of expectation due to product shortages and earlier promotions that pulled forward holiday demand.

Holiday promotions were seen beginning as early as October in order to compete with 2020 Prime Day sales, but discounting, pricing and availability took an opposite direction from usual. This shift influenced our team to get a jump start on our 2021 digital holiday analysis to assess how drastic the changes were versus 2020 activity, and to understand how much of this change has been influenced by inflationary pressures and product scarcity.

Scarcity Becomes a Reality

Our initial analysis started by reviewing year-over-year product availability and pricing changes from January through September 2021, leading up to the holiday season, as detailed in our 2021 Cyber Weekend Preliminary Insights blog. We reviewed popular holiday categories like apparel, electronics, and toys, to have a broad sense of notable trends seen consistently throughout various, applicable marketplaces. What we found was a consistent decline in product availability over the last six months compared to last year, alongside an increase in prices.

Although retailers significantly improved stock availability in November and early December 2021, even digital commerce giants like Amazon and Target were challenged to maintain consistent product availability on their website as seen below. While small in magnitude, there is also a declining trend occurring again closer toward the end of our analysis period, post Cyber Weekend, across all websites included in our analysis.

Source: Commerce Intelligence – Product Availability insights for Home & Garden, Jewelry & Watches, Clothing & Shoes, Bed N Bath, Lighting & Ceiling Fans categories

Greater Discounts, Higher Prices?

With inflation at a thirty-nine year high, retailers and manufacturers have realized they can command higher prices without impacting demand as consumers have shown their willingness to pay the price, especially when threatened by product scarcity. Our assessment is that while some products and categories have responded drastically, manufacturers’ suggested retail prices (MSRPs) have increased nearly seven percent on average from January to December 2021. MSRP adjustments are not taken lightly either, as this is an indication increased prices will be part of a longer-term shift in product strategy.

Source: Commerce Intelligence – Pricing Insights for Bed & Bath, Electronics, Furniture, Healthy & Beauty, and Fashion categories on Amazon.com & Target.com each month in 2021 comparing price increases from January 2021 base

Our 2021 pre-Cyber Weekend analysis reviewed MSRP changes for select categories (Bed & Bath, Electronics, Furniture, Healthy & Beauty, and Fashion) on Amazon and Target.com, and found around forty-eight percent of products on Amazon and thirty-five percent of products on Target.com have increased their MSRPs year-over-year, but kept pre-holiday discount percentages the same.

Looking more specifically as to what year-over-year changes occurred on Black Friday in 2021, we observed MSRPs increasing across the board for all categories at various magnitudes. This indicates why 2021 discounts appeared to be greater than or equivalent to 2020 for many categories, when in reality consumers paid a higher price than they would have in 2020 for the same items.

Source: Commerce Intelligence – MSRP Pricing Insights for Bed & Bath, Electronics, Furniture, Healthy & Beauty, and Fashion categories on Black Friday November 27th, 2021, versus average MSRP pricing for the same SKU count from November 20-26th 2021

On Amazon.com, categories like health & beauty have already increase MSRPs by a much greater percentage and magnitude versus Target.com leading up to and during Black Friday 2021, while other categories like furniture have increased MSRPs evenly on average across both retail websites. The below chart cites a few specific examples of year-over-year SKU-level MSRP, promotional price, and discount changes within found within the electronics, furniture, fashion, and health & beauty categories.

Source: Commerce Intelligence – MSRP Pricing Insights for Bed & Bath, Electronics, Furniture, Healthy & Beauty, and Fashion categories on Black Friday November 27th, 2021, versus average MSRP pricing for the same SKUs on Black Friday November 26th, 2020.

Fewer, but Deeper Discounts

From October through early November 2021, fewer products were discounted compared to this same period in 2020, and the few that were saw much deeper discounts apart from the home improvement category. The most extreme example we saw in discounts offered was within furniture where only three percent of SKUs were on discount in 2021 compared to twenty-six percent in 2020. Interestingly, the magnitude of discount was also higher pre-Cyber Weekend 2021 versus 2020, but this trend was not exclusive to furniture and was also seen within electronics, health & beauty, and home improvement.

Source: Commerce Intelligence – Pricing Insights for Bed & Bath, Electronics, Furniture, Healthy & Beauty, and Fashion categories on Amazon.com & Target.com Pre-Black Friday average selling price during November 20-26th 2021 versus average selling price from November 13-19th 2021 compared to Pre-Black Friday average selling price during November 19-25th 2020 versus average selling price from November 12-18th, 2020.

Within the furniture category, the subcategories offering the greatest number of SKUs with price decreases on Black Friday 2021 were rugs by a wide margin, followed by cabinets, bed and bath, and entertainment units, but the magnitude of discounts offered were all under twenty percent.

Source: Commerce Intelligence – Pricing Insights for Bed & Bath, Electronics, Furniture, Healthy & Beauty, and Fashion categories on Amazon.com and Target.com on Black Friday November 27th, 2021, versus average pricing for the same SKUs from Pre-Black Friday November 20-26th 2021 and Black Friday November 26th, 2020, versus average pricing for the same SKUs from Pre-Black Friday November 19th-25th 2020

Accounting for this phenomenon could have been retailers’ attempts to clear inventory for SKUs which hadn’t sold even during the period of severe supply chain shortages. With more products selling at higher prices this year, retailers were also able to use fewer SKUs with greater discounts to attract buyer in hopes of filling their digital baskets with more full-priced goods, helping to protect margins heading in to Cyber Weekend. Scarcity threats also encouraged consumers to buy early, even when not on promotion, to ensure they would have gifts in time for the holidays.

The same trends seen pre-Cyber Weekend 2021 were also seen on Black Friday with a year-over-year decrease in the percentage of SKUs offered on discount versus 2020, and steeper price reductions for the discounted products which can also be attributed to the increase in MSRPs.

Source: Commerce Intelligence – Pricing Insights for Bed & Bath, Electronics, Furniture, Healthy & Beauty, and Fashion categories on Amazon.com and Target.com on Black Friday November 27th, 2021, versus average pricing for the same SKUs from Pre-Black Friday November 20-26th 2021 and Black Friday November 26th, 2020, versus average pricing for the same SKUs from Pre-Black Friday November 19th-25th 2020

2021 Black Friday Price Increases?

We all know Black Friday is all about price reductions, discounts and deals and so it’s rare to see actual price increases, yet for Black Friday 2021, trends ran counter to this. We observed price increases across all categories for around thirteen to nineteen percent of SKUs, with an average price increase of around fifteen percent in 2021 versus an average of only two percent in 2020.

Source: Commerce Intelligence – Pricing Insights for Bed & Bath, Electronics, Furniture, Healthy & Beauty, and Fashion categories on Amazon.com and Target.com on Black Friday November 27th, 2021, versus pricing for the same SKUs from Pre-Black Friday November 20-26th 2021 and Black Friday November 26th, 2020, versus average pricing for the same SKUs from Pre-Black Friday November 19th-25th 2020

At an account level, we noticed a few interesting differences happening on Black Friday 2021 versus 2020 regarding category price changes. On Target.com, almost ninety percent of the bed and bath SKUs analyzed had a price change on Black Friday in 2021 versus 2020 with eighty-two percent presenting a higher price year-over-year versus only around seven percent showing a decrease, where on Amazon nearly forty-four percent of bed and bath SKUs showed an increase in price and around thirty-eight percent showed a decrease. Except for the health and beauty category on Target.com, more than half of the SKUs in each category saw a price increase on Black Friday versus a price decrease.

Source: Commerce Intelligence – Pricing Insights for Bed & Bath, Electronics, Furniture, Healthy & Beauty, and Fashion categories on Amazon.com and Target.com on Black Friday November 27th, 2021, versus average pricing for the same SKUs on Black Friday November 26th, 2020.

The magnitude of year-over-year price changes seen on Black Friday 2021 was significant across all categories, but the magnitude of price increases found on Amazon.com within the health and beauty category outpaced the rest by far. We reviewed three hundred and sixty-five SKUs on Amazon.com within the health & beauty category and saw almost eighty-three percent of them had a price change with around thirty-one percent decreasing prices and around fifty-two percent increasing prices. This means that within the health & beauty category on Amazon.com, more than fifty percent of the SKUs tracked were sold at a one hundred and seventy-six percent higher price on average during Black Friday 2021 versus 2020.

Source: Commerce Intelligence – Pricing Insights for Bed & Bath, Electronics, Furniture, Healthy & Beauty, and Fashion categories on Amazon.com and Target.com on Black Friday November 27th, 2021, versus average pricing for the same SKUs on Black Friday November 26th, 2020.

The subcategories offering the greatest number of SKUs with price increases on Black Friday 2021 were cameras, followed by men’s fragrances, laptops, and desktops & accessories, but the magnitude of discounts offered were all under ten percent.

Source: Commerce Intelligence – Pricing Insights for Bed & Bath, Electronics, Furniture, Healthy & Beauty, and Fashion categories on Amazon.com and Target.com on Black Friday November 27th, 2021, versus pricing for the same SKUs from Pre-Black Friday November 20-26th 2021 and Black Friday November 26th, 2020, versus average pricing for the same SKUs from Pre-Black Friday November 19th-25th 2020

The Aftermath Post-2021 Cyber Weekend

Extending this analysis beyond the holiday weekend, we analyzed price change activity from December third through the ninth across the top US retailers (chart below) and found that price decreases have been very minimal, comparatively speaking. Though there was a spike in number of price decreases from December 8^th to the 9^th, the percentage of SKUs with price decreases was still very low (less than three percent). We anticipate this trend will continue into 2022.

Source: Commerce Intelligence – Pricing insights for Home & Garden, Jewelry & Watches, Clothing & Shoes, Bed N Bath, Lighting & Ceiling Fans categories

A Sign of Things to Come

A confluence of inflationary trends, product shortages and consumer liquidity have driven many marketplace changes to occur simultaneously. Government programs in the form of stimulus checks, have put extra money in consumers’ hands, and so they’ve been more willing to spend. That, coupled with the shock in the supply chain, has motivated people to buy far ahead of the 2021 holiday season. Hence, retailers have needed to rely much less on across-the-board discounts. Promotions have been more strategic – we’ve seen deeper discounts over fewer products, likely used to draw consumers in to buy certain items, and once they’re there, customers are buying everything else at a non-discount level. When these factors once again normalize, we could see a return to the “race to the bottom” that has occurred since the financial crisis of 2008-2009, but for once, retailers may be able to maintain some pricing power as the 2021 holiday shopping season played out.

Even though performance was not as anticipated and holiday sales did not grow as rapidly as they did in 2020, Cyber Monday was still the greatest online shopping day in 2021. Through it all, retailers managed to keep their digital shelves stocked and orders filled in time for the holidays for the most part, running the risk of housing aged inventory if goods didn’t arrive in time. Despite predictions for steep promotions in January 2022, with supply chains still challenged and inflationary pressures still full steam ahead, we don’t anticipate much in the way of enhanced discounts to continue beyond the holidays.

Access to these types of real-time digital marketplace insights can enable retailers and brands to make strategic decisions like how and when to address inflationary pressures, while also supporting many other day-to-day operations and help drive profitable growth in an intensifying competitive environment. Continue to follow us in the coming weeks for a detailed 2021 year-end review across more retailers and categories. Be sure to reach out to our Retail Analytics experts for access to more details regarding the above analysis.

January 4, 2022
6 Promotional Strategies for the Holiday Season

For eCommerce companies, holidays are the busiest season of the year. Whether creating brand awareness with your marketing campaigns or freshening up your landing pages or finding new ways to segment & understand your customers, the list of tasks seems endless. It’s the time of the year when most people look forward to shopping for friends and family.

The holiday shopping season begins with Black Friday and Cyber Monday and leads to the December holidays, including Christmas and New Year. Consequently, proper planning and marketing are essential for a successful holiday season.

In fact, holiday sales during November and December are forecasted to be between $843.4B – $859B, up 10.5% over 2020, according to the National Retail Federation (NRF). For online stores specifically, sales are predicted to increase between 11% – 15% to a total of between $218.3B and $226.2B driven by online purchases.

This guide will share eight promotional strategies retailers can use during the holiday season. We will also discuss how data analytics can help retailers improve their promotional strategies.

Using data analytics to guide promotional strategies

Promotional Strategies

Data is the foundation of every successful marketing campaign. Data analysis helps companies understand which graphics worked well and campaigns that generated the most revenue. Gathering data and running analysis helps companies improve their next marketing campaign. Retailers can also get deeper insights into campaigns/channels with the highest conversion rate or average order value (AOV).

With data analytics, retailers can prioritize campaigns and channels that resonate the most with their customers this holiday season. But, it would be best to try more than one promotional strategy to ensure you double down on what works without placing all of your eggs in one Christmas-themed basket.

Here are four ways that data analytics can help guide promotional strategies:

a. Customized alerts for listing pages

Data analysis helps retailers determine if certain products are out of stock on their rival’s website and adjust their own pricing accordingly. It allows retailers to grab market share for trending items. For example, if you get an out-of-stock alert for a particular product at competitors’ stores, you can invest more in advertising that product on your online store. In addition, customized alerts keep retailers informed about their inventory status, allowing them to plan promotions and ads. They can see which products are becoming commoditized due to intense competition and which ones offer better revenue opportunities.

Learn how DataWeave can help retailers track their competitor’s stock and inventory status.

b. Maximize conversions by tracking product trends

Assortment Analytics

Customers are always looking for products that are currently trending. With assortment analytics, eCommerce companies can get insights into hot trends, allowing them to stock in-demand categories and products. Integrating assortment analytics with AI-powered image analytics can also provide insights into attributes that are popular among customers. By filling gaps in their current assortments, retailers can improve conversion rates and increase revenue.

Here’s a case study on how DataWeave helped Douglas, a luxury beauty retailer in Germany boost sales by building an in-demand product assortment

c. Monitor competitor promotions

Promotional Insights

With increased competition and consumer demand for deals, it has become important for retailers to monitor their competitor’s promotions. Monitoring promotions helps retailers to optimize their ad spend accordingly. AI-powered image analysis tools can capture important information from competitors’ ad banners and deliver insights into metrics that are working to deliver sales.

Here’s how DataWeave can help retailers make their marketing magnetic with competitive promotional insights!

d. Optimize margins with a data-driven pricing strategy

Pricing Intelligence

It has become challenging to price products in recent years since digital tools enable price transparency across channels. Although this trend is excellent for consumers, it makes competition fierce for retailers. A data-driven pricing strategy incorporates a variety of factors, including industry needs, competitor analysis, consumer demand, production costs, and profit margins.

With data-driven competitive pricing, retailers can keep pace with the changing eCommerce environment with real-time pricing updates. It also helps them optimize margins and quickly respond to changes in prices on rival stores.

Promotional Strategies for the Holiday Season

a. Virtual Webrooms

When customers want to see a product in-person, they go to a store showroom. It helps them make a purchase decision. However, with the Internet, eCommerce companies can bring this tactic online. The only difference between showrooming and webrooming is that the former takes in-person, whereas the latter happens digitally. Webrooming grew in popularity during the COVID-19 pandemic. Instead of spending weekends browsing stores, consumers took to the Internet for most of their product research.

A webroom allows customers to explore products from every angle, providing them with the complete in-person showroom experience online. Webrooming is a powerful holiday marketing strategy, especially regarding expensive purchases. Customers prefer to understand how the product will look. However, building a webroom is extensive and requires retailers to hire developers and professional photographers.

Webrooms allow retailers to share their collections, schedule virtual appointments, share 3D product images, set up virtual fitting rooms for clothing products, and accept purchase orders. For example, in 2015, Tommy Hilfiger launched its first digital showroom in Amsterdam to improve sustainability and minimize its carbon footprint. Through remote wholesale selling and digital product creation, a digital showroom helped Tommy Hilfiger transform the buying journey and retail value chain.

b. Loyalty-rewarding sales and perks

Customer Loyalty

Consider building customer loyalty during your holiday promotions. First, encourage your holiday shoppers to become loyal customers by offering bonus rewards, contests, or giveaways when they sign up for your loyalty program. You can encourage them to purchase right away by providing instant discount coupons or points for a reward to redeem on their next purchase. For maximum impact, you should run this promotion throughout the holiday season.

Second, you should attract your current loyalty program members with discount codes. Offer free shipping or provide a one-day-only discount code to ensure your customers choose you during their last-minute purchases. With these rewards, you’ll attract customers who are window shopping and simultaneously bring your loyal customers back throughout the holiday season.

c. Charitable Tie-Ins

AmazonSmile

Research shows that customers are four times more likely to purchase from brands with a strong sense of purpose. With the festive season being the time of giving, working with a charity and giving back to your community is a great way to reach out to customers.

After a tough one and half years because of the pandemic, people want to give back and help those in need this holiday season. You can partner with a non-profit and run campaigns that allow customers to give back. It’s also great for sharing your brand mission with your customers. For instance, Amazon allows customers to shop from AmazonSmile, which donates 0.5% of their eligible Charity List purchases to a selected charity, at no extra cost to the customers.

Consider partnering with an organization within your industry. For example, you can pair up with a non-profit that collects and gives clothes to the needy if you sell clothes. You can involve customers by asking them to exchange old dresses for coupons or cash discounts.

d. Omni-channel customer experience

Omni-channel marketing provides customers with a seamless, consistent, and cohesive experience over multiple marketing channels. Omnichannel marketing aims to provide a meaningful and cohesive experience that inspires your customers to make a purchase. Unlike multichannel marketing, this strategy puts the customer at the center of marketing campaigns and elevates the cross-channel customer experience.

Omnichannel shoppers spend 10% more money and purchase 15% more items than the original shoppers. eCommerce companies can use historical data to analyze successful channels and create a more transparent marketing strategy for the holiday season. Omnichannel analytics will provide a holistic picture of customer data that will help retailers to better meet the customer’s requirements and predict inventory.

e. Buy now, pay later (BNPL)

Buy Now Pay Later (BNPL)

Technically, buy now, pay later isn’t a promotional idea since your customers will still be paying the full price. However, BNPL allows them to delay their payments and not pay in full right away at checkout. Buy now, pay later needs to be on every eCommerce company’s holiday promotions plans. Various retailers, including Walmart, offer affordable monthly payments at the pace of 3 to 24 months with Affirm. Target also has a similar scheme with Sezzle and Affirm. Whereas Sephora and Macy’s offer 4 interest-free payments with Klarna.

BNPL is especially popular with millennials and Gen Z shoppers and will factor into their 2021 holiday shopping plans. Research showed 62% growth in the use of buy now, pay later service in consumers aged 18 to 24. Giving customers a means to manage their budgets during holidays while still taking home their purchases will attract more customers. While the customer doesn’t pay the full price right away for their purchase, businesses still get the total worth of the item. In the eCommerce industry—nearly 50% of BNPL users say they use it while shopping online, and among them, 45% use the service frequently.

f. Buy One, Get One

The last promotional idea is a classic buy one, get one offer. Everyone likes a good BOGO promotional offer. In fact, 66% of shoppers from a survey preferred BOGO over other promotions. It’s a win-win promotional strategy for retailers and customers. With this offer, people shop and stock up on gifts for their friends and family, while retailers make a more significant profit than 50% off sales. People prefer to get 100% off on a product over 50% on two items.

BOGO sales are best to move inventory by giving shoppers a deal they can’t pass up. If you have stocked up extra items during Black Friday, you can move those last-minute gifts as end-of-year BOGO sales, making room for new merchandise in January.

Conclusion

In this post, you saw that there’s more to holiday marketing than a few social media posts. eCommerce companies can use these holiday promotional ideas to offer Loyalty-rewarding sales and perks, buy now pay later service, and an omnichannel customer experience. Regardless of which strategies you’re using, remember that historical data analytics and early planning will play a significant role in increasing your sales and revenue.

Proper planning backed by insights into key metrics will help your team develop a one-of-a-kind holiday marketing strategy to drive your holiday sales upward. From sharing gratitude to offering personalized experiences, retailers have various options for promoting business this holiday season.

Learn how DataWeave can help make sense of your and your competitor’s pricing, promotional, and assortment data this holiday season. Sign up for a demo with our team to know more.

December 15, 2021
Are Your Digital Shelves Prepared for Green Monday?

Traditionally, retailers have staged multiple promotions between Black Friday and before Christmas Day to keep consumers excited about holiday shopping, so it’s easy to see why one more promotional day might fall into relative obscurity. As if ‘Early Start’ offers to Black Friday and extended ‘Cyber Weekend’ promotions weren’t enough to plan for, eBay added another day into the mix called ‘Green Monday’, much to the benefit of consumers, as it furthers the window of opportunity to secure a bargain during the holiday season.

Green Monday falls on the second Monday of December and has historically been one of the greatest sales days of the year for eBay, often attracting last-minute shoppers or those searching for last-minute deals. However, because of the 2021 Global Shipping Crisis, there is speculation that Green Monday may be the last chance this year to have items delivered in time for Christmas. For this reason, we believe it could turn into quite a fruitful event for participating retailers if it encourages procrastinating shoppers that traditionally spend closer to December 25^th to buy earlier in the season.

This isn’t the first year retailers outside of eBay have offered Green Monday promotions, however. Our team has been actively monitoring activity on this day from 2017 through present, to not only assess which retailers participate in the event, but also to understand how the discounts may change surrounding the event. The categories monitored include Apparel (Clothing, Shoes & Jewelry), Bed and Bath, and Home and Garden, and we’ve identified products offered on discount by comparing each applicable product’s price on Green Monday versus the most commonly seen price for the product offered throughout the month of December.

Better Promotions Than Boxing Day

Taking a closer look at 2020 Green Monday discounts within the categories and retailers analyzed, apart from Wayfair.com, we see all offered more SKUs on discount on Green Monday versus the days leading up to and out of the event. Kohls.com led the pack with around 93% of SKUs offered on discount, followed by Macys.com with 95%, and Wayfair.com with 83%. Overall, the number of SKUs on discount on Green Monday were greater than the SKUs offered on discount on Boxing Day, which is traditionally known as a great day to bargain shop.

Source: DataWeave Commerce Intelligence – Promotional Insights tracking Apparel, Bed & Bath, and Home & Garden category product’s online price on Green Monday 2020 in the US versus regular prices for the same products in the month of December each year.

What’s in Store for Green Monday 2021?

The insights we’ve tracked over the last four years have not indicated any signs to an end for Green Monday any time soon. As we see it, for consumers it is an extremely convenient time to order holiday gifts, and for retailers it is a good time to build brand trust and loyalty by fulfilling last minute orders at a great value, in time for the holidays.

Our prediction for the categories analyzed is to expect to see more retailers participate in Green Monday 2021 to a greater degree (more SKUs on sale and enhanced promotions). For retailers in this analysis, we would anticipate HomeDepot.com to enhance the number of offers to match 2020 competitive activity, and for Wayfair.com to look at increasing the number of offers on Green Monday versus the period leading into the event.

If you are interested in learning more about the details behind this analysis or our Promotional Insights solution, be sure to contact us. We can help you evaluate the effectiveness of your holiday promotional spend with access to near real-time marketplace insights on the brands, categories, and products your rivals promote, including discounts, campaign frequency and duration and more.

December 13, 2021
How Brands Boost Sales & Satisfaction on Walmart.com
The explosive growth of online shopping has forced brands to re-examine their e-commerce processes to stay competitive and profitable. In particular, out-of-stocks are a common, costly retail challenge, as product shortages frustrate online shoppers – and even prompt them to leave brands.

According to McKinsey & Company, forty-eight percent of consumers switched to a different brand in 2020 because those products were in stock. Among these consumers, seventy-three percent plan to keep using the new brands, linking product availability gaps to the erosion of sales and loyalty. Conversely, brands with effective inventory planning and replenishment can keep items in stock, drive sales and improve the customer experience.

Retailers like Walmart, collaborating with these brands to meet customer demand, are still facing inventory challenges but, as noted in 2021 Q3 earnings, inventory was up almost twelve percent year-over-year as they worked to stay ahead of increased holiday demand. They have also adjusted in-store operations to accommodate ever-growing e-commerce demands, especially within grocery-centric categories, as digital grocery buyers now amount to more than half the U.S. population.

Maximizing Conversions with Category Insights

Walmart’s dot-com strategy is paying off in spades, considering they surpassed Amazon as the leading U.S. grocery e-commerce retailer in 2020 and grew another forty-one percent in Q3, 2021. Our team has been actively tracking digital shelf analytic KPIs on Walmart.com to identify inventory and promotional performance improvement opportunities at a category level to support brands in capitalizing on these digital growth opportunities.

The latest analysis is summarized below, reviewing average category availability and discount trends occurring each week of the month, from May to August 2021, at a category level. A recent report found the 29th of each month to be the busiest day for online sales because consumers often get paid at the end of the month, which made DataWeave analysts wonder:
- Which categories are maximizing their growth potential on Walmart.com and where are the greatest opportunities for improvement during periods of increased demand?
- How do increased demand periods (like payday) impact category online availability?
- Are category promotions offered at the right times throughout the month to best support demand?
When Seasonal Demand for Groceries and Payday Merge

Across all Walmart.com food categories tracked, Week 5 – where payday commonly falls for most consumers, had the lowest average product availability, while Week 4 had the highest average product availability for all categories except Deli and Fruits and Vegetables. These findings may inspire Walmart’s brand partners to rethink their inventory and assortment planning, replenishment and even pricing efforts to maintain a healthy stock closer toward the end of the month to match higher demand.

The categories with the greatest difference in average availability during Week 5 versus the rest of the month were Snacks & Candy, Beverages and Alcohol, indicating consumers consistently made these types of purchases closest to payday, when income was highest throughout the month. Seasonality is a secondary factor that influenced demand for these items given events like Memorial Day, Fourth of July, Summer Break, and Back-to-School shopping all took place during our analysis. Additionally, most holidays overlapped payday, which also furthered Week 5 demand.

Source: DataWeave Digital Shelf Analytics for Brands – Category average availability percentages from May to August 2021 between Week 1 (the 1st to the 7th day of the month) and Week 5 (the 29th, 30th and 31st day of the month).

Coupling availability with discounts allows us to consider whether consumers buy more in Week 5 due to high discounts or increased purchasing power, or both. In reviewing the average category discounts offered within the same grocery-centric categories analyzed above, we found almost every grocery category showed a higher discount in Week 5 compared to the rest of the month, except for Bread & Bakery and Alcohol.

Source: DataWeave Digital Shelf Analytics for Brands – Category average discount percentages from May to August 2021 between Week 1 (the 1st to the 7th day of the month) and Week 5 (the 29th, 30th and 31st day of the month).

Regarding Alcohol, during Week 4, when average availability was the highest, the average discounts offered were the lowest. This can indicate inventory was primed for payday shoppers (and the holidays of course). Bread & Bakery offers the greatest average discounts when inventory levels are lowest on average, indicating Week 3 is a great time to stock up, while Week 4 might be a great time to buy the freshest inventory.

The greatest average discounts in Week 5 were in Snacks & Candy, Pantry and Fruits & Vegetables. Deeper discounts for Snacks & Candy in Week 5 may have helped brands compete for consumers’ disposable income despite being a discretionary category. Pantry brands’ discounts may have reflected a need to compete for shoppers’ attention. During this period, consumers were out of the house more and less likely to use these grocery staples compared to earlier lockdown periods and cooler months.

Making Specialty Categories and Health a Priority for Online Shoppers

Interestingly, the only two categories where inventory was higher in Week 5 versus all other weeks each month were ‘Special Diets’ foods and ‘Summer Flavors’, although ‘Special Diets’ foods consistently maintained the lowest level of average availability each week across all food categories analyzed. This consistent lack of inventory could indicate a great opportunity for brands to increase inventory for dietary products sold on Walmart.com.

Source: DataWeave Digital Shelf Analytics for Brands – Category average availability percentages from May to August 2021 between Week 1 (the 1st to the 7th day of the month) and Week 5 (the 29th, 30th and 31st day of the month).

The average availability for ‘Summer Flavors’ foods verifies brands are maintaining a solid replenishment strategy for these seasonal items, and a high likelihood consumers will happily find what they need to plan their Summer gatherings on Walmart.com. One alarming factor we found was the change in average discounts offered during Week 5 versus Weeks 1 through 4, indicating promotions surrounding payday may be driving sales volume versus organic demand.

Source: DataWeave Digital Shelf Analytics for Brands – Category average discount percentages from May to August 2021 between Week 1 (the 1st to the 7th day of the month) and Week 5 (the 29th, 30th and 31st day of the month).

Digital Growth Opportunity in Meal Kits and Kids’ Meals

Two categories primed for growth, according to Statista, are meal kits and kids’ food and beverages. Their research indicates retail sales for kids’ food has grown steadily year-over-year since 2013, and a recent report also indicates meal kit sales are expected to more than double 2017 sales in 2022, reaching $11.6 billion in the U.S., spurred by pandemic-induced demand. A concerning find in our research indicates both categories, ‘Easy Meal Solutions’ and ‘Kid Friendly Foods’ on Walmart.com, showed great volatility when it comes to in-stock availability. For example, in Week 1, ‘Easy Meal Solutions’ had an average availability nearly half the average of the rest of the month (around nineteen percent versus nearly thirty-eight percent), and in Week 5, payday week, ‘Kid Friendly Foods’ saw the biggest drop in average availability compared to Weeks 1 through 4 (over sixty-seven percent versus seventy-five percent) indicating supply may not be keeping up with the heightened demand.

Source: DataWeave Digital Shelf Analytics for Brands – Category average availability percentages from May to August 2021 between Week 1 (the 1st to the 7th day of the month) and Week 5 (the 29th, 30th and 31st day of the month).

The heightened average discounts offered during Week 5 for ‘Baby’ and ‘Pets’ items indicate two categories consumers will most likely stock up on during payday.

Source: DataWeave Digital Shelf Analytics for Brands – Category average discount percentages from May to August 2021 between Week 1 (the 1st to the 7th day of the month) and Week 5 (the 29th, 30th and 31st day of the month).

Back to School Stock-Outs

U.S. retail sales unexpectedly increased in August, likely boosted by back-to-school shopping and child tax credit payments. Meanwhile, product shortages and other supply chain issues slowed 2021’s back-to-school sales, possibly affecting school supplies’ and clothing availability on Walmart.com. According to our analysis, the average product availability in Walmart.com’s school supplies category fell from over sixty-two percent during Weeks 1 through 4 to nearly forty-two percent in Week 5.

Warmer weather, seasonal events, reduced lockdowns, and vaccination efforts led more Americans to resume in-person socializing, giving reason to update their spring and summer wardrobes. In July, Forbes shared that three-quarters of shoppers are purchasing apparel, accessories and shoes the most. On average, only around sixty-three percent of clothing items were available on Walmart.com during Weeks 1 through 4. However, in Week 5, that figure plummeted to just over thirty-eight percent, the most significant drop among all categories.

Source: DataWeave Digital Shelf Analytics for Brands – Category average availability percentages from May to August 2021 between Week 1 (the 1st to the 7th day of the month) and Week 5 (the 29th, 30th and 31st day of the month).

Demand for new fashion remained high throughout this period, seemingly fueled organically, as only moderate additional discounts took place in Week 5, and although the average discount on school supplies was only around twenty-seven percent during Weeks 1 through 4, it surged to just over forty-seven percent in Week 5. Generous additional discounts in Week 5 may have inspired online shoppers to shift spending from clothing to school supplies in late July and August ahead of students’ return to the classroom.

Source: DataWeave Digital Shelf Analytics for Brands – Category average discount percentages from May to August 2021 between Week 1 (the 1st to the 7th day of the month) and Week 5 (the 29th, 30th and 31st day of the month).

Prioritizing Product Availability with Digital Advertising Strategies

Seventy-eight percent of B2C marketers increased their 2021 digital advertising spend to fuel online product discoverability (Share of Search), and sales and market share, but out-of-stock experiences simultaneously surged 172% this year from pre-pandemic levels. Paying for ads that drive traffic to your out-of-stock products can be as detrimental to your brand as a bad user experience. Our review of the ‘Featured Products’ sold on Walmart.com show consistent, low-levels of product availability each week throughout the months reviewed.

Source: DataWeave Digital Shelf Analytics for Brands – Category average availability percentages from May to August 2021 between Week 1 (the 1st to the 7th day of the month) and Week 5 (the 29th, 30th and 31st day of the month).

Additionally, the average discount offered on these products tended to be higher than most other categories reviewed, indicating brands participating in the featured product section of the website were not only investing in digital ads, but also doubling down with promotional activity as well.

Source: DataWeave Digital Shelf Analytics for Brands – Category average discount percentages from May to August 2021 between Week 1 (the 1st to the 7th day of the month) and Week 5 (the 29th, 30th and 31st day of the month).

How Brands can Replenish Their Digital Shelf

It is well known just how important it is to have products available during the right time of day, week, month, or season to improve customer satisfaction rates, but with your e-commerce store open 24/7 and omnichannel fulfillment strategies in place, it drastically changes the way in which strategic execution is prioritized for a retailer to reduce basket abandonment and for brands to build loyalty.

Our greatest takeaway from this analysis is realizing how crucial it is for brands to proactively track product availability and competitive pricing insights to stay ahead of the curve and achieve their digital growth goals. Early visibility to stock replenishment could help brands align with heightened cyclical and seasonal demand to avoid out-of-stocks and grow e-commerce sales.

This is why more leading brands now rely on our Digital Shelf Analytics solutions, including Pricing and Availability insights, to keep eCommerce planning agile, to maximize online conversions, and ultimately maintain shopper satisfaction and loyalty.
December 8, 2021
Top 7 AI tools for your eCommerce business

The 2020 global health crisis sped up the adoption of omnichannel shopping and fulfillment. Consumers spent $791.70 billion online with U.S. merchants in 2020, a 32.4% rise compared to 2019. To keep up with this digital shift, offline businesses have substantially moved investments to online infrastructures for everything from e-commerce platforms, product recommendations, inventory management, and communications. AI tools for eCommerce have played a major role in helping businesses in the digital shift.

However, the benefits of setting up e-commerce stores are potentially outweighed by the increased costs. As markets transition to online retailers, they must learn to efficiently collect, secure, and analyze data coming in from multiple sources. Strategically approaching the data problem with artificial intelligence (AI) can help better serve customers, gain a competitive advantage, and drive loyalty.

In this blog, you will learn about seven data and AI tools for eCommerce businesses:

Seven Data and AI tools for eCommerce businesses

1. Data Warehouse

Data is the one advantage that eCommerce merchants and marketers have over brick and mortar retailers. When buyers are from the internet, eCommerce retailers can collect data and measure almost every aspect of their interactions. However, that advantage is worthless unless there is a system to make sense of the data they collect. Companies assume that they have a sound system in place. But, what they have is a network of silos. In such a system, data sticks to different platforms like Google Analytics, Shopify, or Klaviyo and can’t move to deliver valuable insights. Funneling all your data into a single location for your eCommerce stores is the right way to go. Data warehouses centralize and merge a plethora of data from various sources, helping organizations to derive valuable business insights and improve decision-making.

Data Warehouses support real-time analytics and ML operations quickly & are designed to enable and support business intelligence (BI) activities like performing queries and analysis on a colossal amount of data. Data could range from customer-related data, product or pricing data, or even competitor data.

However, the time needed to gather, clean, and upload the data to the warehouse is a time-consuming process. Here’s where DataWeave’s AI-Powered Data Aggregation & Analysis Platform can help! Get critical insights on your competitor’s pricing, assortment, and historical sale trends with a real-time dashboard. Build a winning eCommerce strategy with market intelligence without the need to store your data.

2. Data Lake

A data lake is a centralized repository that can store structured and unstructured data at any scale. Companies don’t have to provide a schema to the data before storing it, but they still can run different analytics and ML-related operations. However, it takes more time to refine the raw data and then analyze or create ML models for predictions.

An Aberdeen survey saw businesses implementing a Data Lake outperforming similar companies by 9% in organic revenue growth. The organizations that implemented Data Lake could perform various analytics over additional data from social media, click-streams, websites, etc. A Data Lake allows for the democratization of data and the versatility of storing multi-structured data from diverse sources, improving insights and business growth.

eCommerce businesses can collect competitors’ data in data lakes like their popular products, categories, landing pages, and ads. Analyzing competitors’ data helps retailers price their products correctly, helps with product matching, historical trend analysis, and much more. However, data lakes can also be used to store consumer data such as who they are, what they purchase, how much they spend on average, and how they interact with a company. Successful retailers leverage both competitor and consumer data to understand their consumers better, what brands to carry, how to price each product, and what categories to expand or contract. Retailers also store identity data such as a person’s name, contact information, gender, email address, and social media profiles. Other types of data stored are website visits, purchase patterns, email opens, usage rates, and behavioral data.

The major challenge with a data lake architecture is that it stores raw data with no oversight of the contents. Without elements like a defined mechanism to catalog and secure data, data cannot be found, or trusted resulting in a “data swamp.” Consequently, companies need teams of data engineers to clean data for data scientists or analysts to generate insights. This not only increases the turnaround time of gaining valuable information but also increases operational costs.

However, you can rely on platforms like DataWeave that stores competitor pricing & assortment information at a centralized location. You can leverage intelligently designed dashboards to get real-time insights into the collected data and make data-driven decisions without the need for storing, cleaning, and transforming the data.

3. Data Ingestion & ETL

To churn out better insights, businesses need access to all data sources. An incomplete picture of data can cause spurious analytic conclusions, misleading reports and inhibit decision-making. As a result, to correlate data from multiple sources, data must be in a centralized location—a data warehouse or a data lake. However, extracting and storing information into these systems require data engineers who can implement techniques like data ingestion and ETL.

While data ingestion focuses on getting data into data lakes, ETL focuses on transforming data into well-defined rigid structures optimized and storing it into a data warehouse for better analytics workflows. Both processes allow for the transportation of data from various sources to a storage medium that an organization can access, use, and analyze. The destination can be a data warehouse in the case of ETL and a data lake in case of data ingestion. Sources can be almost anything from in-house apps, websites, SaaS data, databases, spreadsheets, or anywhere on the internet.

Data ingestion & ETL are the backbones of any analytics/AI architecture since these processes provide consistent and convenient data, respectively.

4. Programming languages

Programming languages are tools used by programmers to write instructions for computers to follow since they “think” in binary—strings of 1s and 0s. It serves as a bridge that allows humans to translate instructions into a language that computers can understand. Some common and highly used programming languages for building AI models are Python and R.

While Python is the most widely used language for training and testing models, R is mostly embraced for visualizations and statistical analysis. However, to productize the ML models, you would require Java programming language so that models can be integrated with your websites to provide recommendations.

5. Libraries/AI frameworks

An AI framework is a structure that acts as a starting point for companies or developers to add higher-level functionality and build advanced AI software. A framework serves as a foundation, ensuring that developers aren’t starting entirely from scratch.

Using AI frameworks like TensorFlow, Theano, PyTorch, and more saves time and reduces the risk of errors while building complex deep learning models. Libraries and AI frameworks also assist in building a more secure and clean code. They future aid developers in simpler testing and debugging.

Various open-source frameworks in the market also come with pre-trained models for specific use cases. Organizations can leverage off-the-shelf models and tweak with existing data to enhance the accuracy of the predictions.

6. IDE & Notebooks tools

IDE or Integrated Development Environment is a coding tool that allows developers to write and test their code more efficiently. However, notebooks are one of the most popular AI tools for organizations to execute analysis and other machine learning tasks. It offers more flexibility over IDEs in terms of exploratory analysis.

All the features, including auto-complete, that IDEs or notebooks offer are beneficial for development as they make coding more comfortable. IDEs/Notebooks increase developers’ productivity by combining common software activities into a single application: building executables, editing code, and debugging.

7. Analytics tools

Data Analysis transforms raw data into valuable statistics, insights, and explanations to help companies make data-driven business decisions. Data analytics tools like PowerBI and Tableau have become the cornerstone of modern business for quickly analyzing structured and semi-structured data.

However, these platforms aren’t optimized specifically for the eCommerce industry. Consequently, you should embrace analytical tools particularly designed for eCommerce companies to make better decisions about product assortment, pricing, and promotions. With data analytics, companies can gain insights into the most popular and discoverable brands on their own and competitors’ platforms. Paired with attribute matching, competitive intelligence gives a deeper understanding of the latest trends and why certain products are popular with your customers. Some more meaningful metrics that retailers can track are discount gap, price gap, catalog strength, and product type gaps.

Competitive pricing is another benefit of data analytics with which retailers can identify gaps and keep up with actionable pricing insights. Retailers get to maximize profits and respond to demand by cashing in on insights into rivals’ pricing. With the right analytics tools, they can also track changes in pricing across crucial metrics such as matched products, recent price changes, highest price positions, stock status, and much more.

Analytics tools can also help eCommerce companies to capture information about competitors’ promotional banners through AI-powered image analysis. It can provide insights into how and where to spend promotional expenditure.

Conclusion

This listicle discusses some of the AI and data tools commonly used by the eCommerce industry. Data analytics has become a popular method for retailers to understand their customers and boost productivity. Data analytics help companies improve customer experience, improve customer loyalty, generate insights, and advise on data-driven actions. Business intelligence tools can help companies monitor key performance indicators (KPIs), perform proper data analyses, and generate accurate reports.

Want to learn how DataWeave can help make sense of your and your competitor’s pricing, promotional, and assortment data? Sign up for a demo with our team to know more.

December 5, 2021
How Brands Can Outperform Rivals With Next-Gen Digital Shelf Analytics

As eCommerce grows in complexity, brands need new ways to grow sales and market share. Right now, brands face urgent market pressures like out-of-stocks, an influx of new competition and rising inflation, all of which erode profitability. As online marketplaces mature, more brands need to make daily changes to their digital marketing strategies in response to these market pressures, shifts in demand, and competitive trends.

eMarketer forecasts 2021 U.S. eCommerce will rise nearly 18% year-over-year (vs. 6.3% for brick-and-mortar), led by apparel and accessories, furniture, food and beverage, and health and personal care. The eCommerce industry is also undergoing fundamental changes with newer entities emerging and traditional business models evolving to adapt to the changed environment. For example, sales for delivery intermediaries such as Doordash, Instacart, Shipt, and Uber have gone from $8.8 billion in 2019 to an estimated $35.3 billion by the end of 2021. Similarly, many brands have established or are building out a Direct to Consumer (D2C) model so they can fully own and control their customer’s experiences.

In response, DataWeave has launched the next generation of our Digital Shelf Analytics suite to help brands across retail categories directly address today’s costly market risks to drive eCommerce growth and gain a competitive advantage.

“Our new enhancements help brands improve online search rank visibility and quantify the impact of digital investments – especially in time for the busy holiday season.”
~ Karthik Bettadapura, CEO and co-founder, DataWeave

The latest product enhancements provide brands access to tailored dashboard views that track KPI achievements and trigger actionable alerts to improve online search rank visibility, protect product availability and optimize share of search 24/7. Dataweave’s Digital Shelf Analytics platform works seamlessly across all forms of eCommerce platforms and models – marketplaces, D2C websites and delivery intermediaries.

Dashboard for Multiple Functions

While all brands share a common objective of increasing sales and market share, their internal teams are often challenged to communicate and collaborate, given differing needs for competitive and performance data across varying job functions. As a result, teams face pressure to quickly grasp market trends and identify what’s holding their brands back.

In response, DataWeave now offers executive-level and customized scorecard views, tailored to each user’s job function, with the ability to measure and assess marketplace changes across a growing list of online retail channels for metrics that matter most to each user. This enhancement enables data democratization and internal alignment to support goal achievement, such as boosting share of category and content effectiveness. The KPIs show aggregated trends, plus granular reasons that help to explain why and where brands can improve.

Brands gain versatile insights serving users from executives to analysts and brand and customer managers.

Prioritized, Actionable Insights

As brands digitize more of their eCommerce and digital marketing processes, they accumulate an abundance of data to analyze to uncover actionable insights. This deluge of data makes it a challenge for brands to know exactly where to begin, create a strategy and determine the right KPIs to set to measure goal accomplishment.

DataWeave’s Digital Shelf Analytics tool enables brands to effectively build a competitive online growth strategy. To boost online discoverability (Share of Search), brands can define their own product taxonomies across billions of data points aggregated across thousands of retailer websites. They can also create customized KPIs that track progress toward goal accomplishment, with the added capability of seeing recommended courses of action to take via email alerts when brands need to adjust their eCommerce plans for agility.

“Brands need an integrated view of how to improve their discoverability
and share of search by considering all touchpoints in the digital commerce ecosystem.”
~ Karthik Bettadapura, CEO and co-founder, DataWeave

Of vital importance, amid today’s global supply chain challenges, brands gain detailed analysis on product inventory and availability, as well as specific insights and alerts that prompt them to solve out-of-stocks faster, which Deloitte reports is a growing concern of consumers (75% are worried about out-of-stocks) this holiday season.

User and system generated alerts provide clarity to actionable steps to improving eCommerce effectiveness.

You also have visibility to store-level product availability, and are alerted to recurring out-of-stock experiences.

Scalable Insights – From Bird’s Eye to Granular Views

DataWeave’s Digital Shelf Analytics allows brands to achieve data accuracy at scale, including reliable insights from a top-down and bottom-up perspective. For example, you can see a granular view of one SKUs product content alongside availability, or you can monitor a group of SKUs, say your best selling ones, at a higher level view with the ability to drill down into more detail.

Brands can access flexible insights, ranging from strategic overviews to finer details explaining performance results.

Many brands struggle with an inability to scale from a hyper-local eCommerce strategy to a global strategy. Most tools available on the market solve for one or the other, addressing opportunities at either a store-level basis or top-down basis – but not both.

According to research by Boston Consulting Group and Google, advanced analytics and AI can drive more than 10% of sales growth for consumer packaged goods (CPG) companies, of which 5% comes directly from marketing. With DataWeave’s advanced analytics, AI and scalable insights, brands can set and follow global strategies while executing changes at a hyper-local level, using root-cause analysis to drill deeper into problems to find out why they are occurring.

As more brands embrace eCommerce and many retailers localize their online assortment strategies, the need for analytical flexibility and granular visibility to insights becomes increasingly important. Google reports that search terms “near me” and “where to buy” have increased by more than 200% among mobile users in the last few years, as consumers seek to buy online locally.

e-Retailers are now fine-tuning merchandising and promotional strategies at a hyper-local level based on differences seen in consumer’s localized search preferences, and DataWeave’s Digital Shelf Analytics solution provides brands visibility to retailer execution changes in near real-time.

Competitive Benchmarking

Brand leaders cannot make sound decisions without considering external factors in the competitive landscape, including rival brands’ pricing, promotion, content, availability, ratings and reviews, and retailer assortment. Dataweave’s Digital Shelf Analytics solution allows you to monitor share of search, search rankings and compare content (assessing attributes like number of images, presence of video, image resolution, etc.) across all competitors, which helps brands make more informed marketing decisions.

Brands are also provided visibility into competitive insights at a granular level, allowing them to make actionable changes to their strategies to stay ahead of competitors’ moves. A new module called ‘Sales and Share’ now enables brands to benchmark sales performance alongside rivals’ and measure market share changes over time to evaluate and improve competitive positioning.

Monitor competitive activity, spot emerging threats and immediately see how your performance compares to all rivals’, targeting ways to outmaneuver the competition.

Sales & Market Share Estimates Correlated with Digital Shelf KPIs

In a brick-and-mortar world, brands often use point of sale (POS) based measurement solutions from third party providers, such as Nielsen, to estimate market share. In the digital world, it is extremely difficult to get such estimates given the number of ways online orders are fulfilled by retailers and obtained by consumers. Dataweave’s Digital Shelf Analytics solution now provides sales and market share estimates via customer defined taxonomy, for large retailers like Amazon. Competitive sales and market share estimates can also be obtained at a SKU level so brands can easily benchmark their performance results.

Additionally, sales and market share data can also be correlated with digital shelf KPIs. This gives an easy way for brands to check the effect of changes made to attributes, such as content and/or product availability, and how the changes impact sales and market share. Similarly, brands can see how modified search efforts, both organic and sponsored, correspond to changes in sales and market share estimates.

Take Your Digital Shelf Growth to the Next Level

The importance of accessing flexible, actionable insights and responding in real-time is growing exponentially as online is poised to account for an increasing proportion of brands’ total sales. With 24/7 digital shelf accessibility among consumers comes 24/7 visibility and the responsibility for brands to address sales and digital marketing opportunities in real-time to attract and serve online shoppers around the clock.

Brands are turning to data analytics to address these new business opportunities, enhance customer satisfaction and loyalty, drive growth and gain a competitive advantage. Companies that adopt data-driven marketing strategies are six times more likely to be profitable year-over-year, and DataWeave is here to help your organization adopt these practices. To capitalize on the global online shopping boom, brands must invest in a digital shelf analytics solution now to effectively build their growth strategies and track measurable KPIs.

DataWeave’s next-gen Digital Shelf Analytics enhancements now further a brand’s ability to monitor, analyze, and determine systems that enable faster and smarter decision-making and sales performance optimization. The results delight consumers by helping them find products they’re searching for, which boosts brand trust.

Connect with us to learn how we can scale with your brand’s analytical needs. No project or region is too big or small, and we can start where you want and scale up to help you stay agile and competitive.

November 30, 2021
Win Search. Win the Digital Shelf this Holiday Season!
With the holiday shopping frenzy right around the corner, brands need to do everything they can to win their customer’s share of wallets. ‘Tis the season shoppers have longer shopping lists and will likely buy products they’ve never purchased before for gift giving. This makes it even more critical for brands to make sure they make it easy for shoppers to find their product at the time right time, with the right deals and discounts.
Watch the webinar with Karthik Bettadapura – CEO, Co-Founder at DataWeave & Vladimir Sushko– E-Retail Director at Anheuser-Busch InBev & learn about the key levers brands need to pull to get their Digital Shelf ready for the Holiday Season

Let’s start with Product Search…

Organic levers you can pull for Search Optimization

Key Highlights:
- Product content is not a one-time fix. It’s seasonal. Seasons change and so does your product. Your content needs to reflect these dynamic changes.
- Fact – Search rankings drop when product availability starts dipping.
  Lesser known fact – even after stock replenishing, your search ranking does not bounce back immediately. The opportunity cost of dwindling product stock is high.
- Being optimized for the right keyword is good. Being optimized for the right keyword, with a higher ranking than your competitor is great!
- Ratings & Reviews have a large correlation with search ranking and impact on sales.
We then asked the audience what factors they thought had the biggest impact on search rankings…

Listen to the experts answer questions that have been on everyone’s mind this Holiday Season!
- Vladimir: How do you approach Search at Ab InBev?
- Vladimir: Favourites have an impact, but is this something you can influence? If yes, how?
- Vladimir: When it comes to growing your online sales via marketplaces what’s the one lever you pull most aggressively?
- Karthik: Optimizing Share of Search on Marketplaces v/s traditional online retailers
- Vladimir: What organic efforts do you use to improve your share of search?
- Vladimir: When it comes to sponsored search do you use an always-on strategy or are ads spent strategically?
- Karthik: Sponsored or Organic? What’s your advice to brands?
- Vladimir: Are you tracking your competitor’s Digital Shelf?
- Karthik: Which competitor KPIs do you recommend brands should track?
Vladimir: What’s your strategy to make sure you have a high share of search during Christmas – the busiest shopping season.

Karthik: What’s your advice for brands for the festive season?

Click here to register for the On-Demand Webinar

Do you know if your brand is prepped and ready to make an impact during the biggest holiday season of the year? Or simply just wondering if your Digital Shelf is optimized with the right price, discounts, reviews, and keywords? Our team can DataWeave can help! Reach out to our Digital Shelf experts to learn more.
November 25, 2021
2021 Cyber Weekend Preliminary Insights

The exponential growth of eCommerce has forever changed holiday shopping as we know it. What was once led by the launch of Cyber Monday in 2005, has since expanded to ‘Cyber Five’ in 2018, now spans beyond an eight-week period, and is collectively the busiest digital shopping period of the year. Most retail websites have launched a ‘Thanksgiving Comes Early’ sales event for a mosaic of products, causing one to wonder how this ‘early start’ to holiday shopping will impact the traditional promotional cadence consumers have grown to expect to see launch closer to the holidays. Given today’s environmental challenges, threats of scarcity are also encouraging consumers to buy early, which could also impact traffic on the shopping days that have traditionally seen the highest sales volume from digital shoppers.

In the current environment, the onus will be on consumers to keep a watch for their categories of interest and buy them as and when they appear on sale in their favorite store, because there is no guarantee of sustained availability. Of course, they might return and buy at a different store if a better deal comes up, but there’s a time cost for the dollars saved. More broadly, there has been enough noise made about deals and discounts to keep consumer interest and curiosity going.

The early promotional start and heightened demand has influenced our team to get a jump start on our 2021 Black Friday analysis to look deeper at trends seen pre-Black Friday 2021 versus 2020. With this assessment, we can track how promotional prices and product availability rates may have changed throughout the event leading in to 2021 Cyber Five, and compare it to last year’s activity to understand how 2021 holiday sales may be impacted.

We reviewed popular holiday categories like apparel, electronics, and toys (for kids and pets), to have a broad sense of notable trends seen consistently throughout various, applicable marketplaces. What we found is a consistent decline in product availability over the last six months and as compared to last year, alongside an increase in prices.

We first analyzed availability changes for popular categories on Amazon, noted in the chart below, to understand how inventory may have changed throughout the year, and also compared to 2020. With the exception of batteries and solar power goods and books and maps, there appears to be consistency in greater product availability in 2021 versus 2020, but a slow decline in availability throughout 2021, leading into the holiday season.

Source: DataWeave Commerce Intelligence – Product Availability in-stock percentage from July 2020 through September 2021 for a sample size of 1000+ products on Amazon.com

When it came to our pricing analysis, we reviewed select categories on Amazon and Target.com, and found around fifty percent of products on both websites to have seen a price increase year-over-year, while only thirty-seven percent and sixteen percent of products saw a price decrease on Amazon and Target.com, respectively. We also see an increase in the manufacturer’s retail price (MRP) in 2021 versus 2020 for a very high proportion of products (forty-eight percent of products on Amazon and thirty-five percent of products on Target.com), but the discount percentages have remained the same.

Source: DataWeave Commerce Intelligence – Pricing Intelligence: MRP and promotional pricing for 1000+ products on Amazon and Target.com were analyzed from November 13^th – 15^th,2021 versus Pre-Black Friday November 24^th & 25^th 2020

*Please reach out to our Retail Analytics experts for access to sub-category details available within the above analysis conducted on Amazon and Target.com.

This indicates 2021 discounts may appear to be greater than or equivalent to 2020, but in reality, consumers will end up paying higher prices than they would have for the same items in 2020. The remainder of this article highlights our key findings found within each key category reviewed – Electronics, Apparel and Toys.

Electronics Category Analysis

The television category showcases a great example of how pricing fluctuations impact holiday promotional cadences. Based on our analysis, we found the average television price to have increased around seven percent from April to October 2021, as seen below and as noted within our analysis conducted with NerdWallet.

Source: DataWeave Commerce Intelligence – Pricing Intelligence: The change in average price captured for televisions sold on Amazon from May 2021 through October 2021.

In fact, on Amazon and Target.com, we see around eighty-four percent of the SKUs listed show both an MRP and promotional price increase in 2021 versus 2020 during pre-Black Friday times. One specific example found on Amazon is noted below for Samsung TV model QN65LS03TAFXZA, a 65 inch QLED TV that was priced at $1697 during this analysis at a fifteen percent discount from MRP, but was priced last year at $1497 without a discount from MRP. In essence, even though the TV offers a greater discount this year, it is actually more expensive than it was in 2020 at this same time of year.

Source: DataWeave Commerce Intelligence – Pricing Intelligence: MRP and promotional pricing analysis on Amazon.com comparing prices from November 13^th – 15^th,2021 versus Pre-Black Friday November 24^th & 25^th 2020

Unlike TVs, the price of laptops has experienced a decrease over time based on our analysis conducted during the same timeframe, indicating these are a great buy for consumers this holiday season versus promotional offers seen in 2020.

Source: DataWeave Commerce Intelligence – Pricing Intelligence: The month-over-month change in average price captured for televisions sold on Amazon from April 2021 through September 2021.

Overall, our prediction is that within the electronics category, promotions during Cyber Five may be equivalent to last year’s offers, however, supply will be limited and the total spend versus last year will be greater to the consumer outside of Doorbuster deals offered on select models.

Apparel Category Analysis

The Luxury market is seeing a Roaring 20s-like feeling this season given the Covid-induced changes in work and lifestyle and higher disposable income. Therefore, our prediction is that prices for these goods are likely to remain flat, or offer very little discounts this season both due to supply constraints as well as higher demand. For example, our analysis on shoe pricing changes shows relative stability from April to October 2021.

Source: DataWeave Commerce Intelligence – Pricing Intelligence: The change in average price captured for shoes sold on Amazon from May 2021 through October 2021.

Given heightened demand and the Global shipping crisis, we anticipate luxury apparel categories to face out-of-stock challenges this holiday season, and therefore we also anticipate seeing less promotional activity for these items as well during Cyber Five 2021. To dive deeper into the severity of the impact, we looked at availability for clothing, accessories, and footwear categories from August 2020 until present to verify our thesis.

Focusing only on clothing, accessories, and footwear, these categories followed the same downward trending pattern regarding product availability decreases this year with a decline from June (seventy-six percent versus eighty-six percent in May 2021) to September 2021 (the lowest rate seen at sixty-eight percent availability), followed by a partial recovery in October and November (achieving seventy-seven percent availability).

Source: DataWeave’s Commerce Intelligence – Product Availability: 10k SKUs tracked across 11 retailers US websites (Farfetch, Brownsfashion, NetAPorter, EndClothing, 24s, Selfridges, Ssense, Harrods, Luisaviaroma, MyTheresa, MrPorter) tracked daily stock status in apparel categories; Availability is calculated as percent of instances when product is in stock against all instances tracked.

Not all recoveries were the same however, and given this, we predict accessories to have the lowest availability rate and greatest risk of facing out of stocks heading into Cyber Five. From May through November 2021, accessories availability continued to decline significantly from month to month, beginning at eighty-three percent in May and ending at seventy-four percent in November. Given this continued decline and with Black Friday right around the corner, we don’t anticipate inventory levels to increase enough to meet the increased holiday demand.

Source: DataWeave’s Commerce Intelligence – Product Availability: 10k SKUs tracked across 11 retailers US websites (Farfetch, Brownsfashion, NetAPorter, EndClothing, 24s, Selfridges, Ssense, Harrods, Luisaviaroma, MyTheresa, MrPorter) tracked daily stock status in apparel categories; Availability is calculated as percent of instances when product is in stock against all instances tracked.

Toys & Games Category Analysis

As noted by DigitalCommerce360, we also anticipate toys to be one of the greatest impacted categories this holiday season given the continued decline in overall availability for these items on Amazon.com, as one great example. Within our category analysis, we saw a steady decline in availability from March 2021 through June (eighty percent to sixty-one percent), followed by a period of stability from June through August (approximately sixty percent), followed by another decline from September through October, finally reaching the lowest availability of fifty-six percent (down twenty-four percent from March 2021).

Source: DataWeave’s Commerce Intelligence – Product Availability – hundreds of Toys & Games SKUs tracked on Amazon.com on a weekly basis from March 2021-October 2021

The biggest sub-category within the toys department on Amazon, Sports and Outdoor Play, followed the same trend as Toys and Games overall through June 2021, also reaching its lowest availability of fifty-six percent. Instead of continuing along that pattern, Sports and Outdoor Play started on a recovery path, ending at a relatively high availability level of sixty-seven percent in October, which is only five percent lower than its highest availability (seventy-two percent in March 2021). Games and Accessories, the second largest sub-category in Toys and Games, had a continuous decline starting with eighty-nine percent in March 2021, reaching its lowest availability of fifty-four percent in October.

Source: DataWeave’s Commerce Intelligence – Product Availability – hundreds of Toys & Games SKUs tracked on Amazon.com on a weekly basis from March 2021-October 2021

The sub-category Tricycles, Scooters and Wagons interestingly had its highest availability from July to September 2021 (around eighty percent), unlike other sub-categories which as a whole, had their lowest availability during the same timeframe. From September through October, there was a significant decline (fourteen percent), reaching its lowest availability of sixty-seven percent. The sub-category Babies & Toddlers started on a continuous decline from its highest availability of eighty percent in April to its lowest availability of fifty-six percent in October.

Source: DataWeave’s Commerce Intelligence – Product Availability – hundreds of Toys & Games SKUs tracked on Amazon.com on a weekly basis from March 2021-October 2021

*Please reach out to our Retail Analytics experts for access to sub-category details available within the above analysis on the Toys and Games category on Amazon.com.

Pet Toys Category Analysis

When it comes to in demand holiday toys, you can’t forget about the needs for gifts for our furry friends and family. We also tracked sub-categories such as dog, cat, and bird toys, following the same methodology as tracked within Toys and Games to track pet toy availability changes.

Source: DataWeave’s Commerce Intelligence – Product Availability – hundreds of Pet Toys SKUs tracked on Amazon.com on a weekly basis from March 2021-October 2021

Dog toys, the biggest sub-category out of the three pet toys analyzed, had high availability – ninety percent in March 2021, but started to decline reaching a low of sixty-five percent in October. There was a period of stability from April to August (averaging seventy-seven percent), followed by a significant decline of over thirteen percent in from September to October. Cat toys, the second largest sub-category, also had its highest availability in March (eighty-nine percent) followed by a steady decline to sixty-six percent in June, a recovery from July to August (achieving seventy-three percent), followed by another decline during September and October, reaching its lowest availability of sixty-three percent (down twenty-six percent from eighty-one percent in March). Interestingly, dog toys which has a product count eight times greater than cat toys, had higher availability than cat toys during each of the months considered during the analysis.

Source: DataWeave’s Commerce Intelligence – Product Availability – hundreds of Pet Toys SKUs tracked on Amazon.com on a weekly basis from March 2021-October 2021

In Conclusion

If we consider discounts and availability to be a good indicator of sales for the 2021 holiday season, with the Global shipping crisis looming over this year’s event, we expect retailers to have trouble keeping their inventory well stocked, which might affect growth rates. That being said, while discounts may be muted and popular items may come on very limited sales given constraints, we believe digital sales on Black Friday will see the highest year-over-year growth to date, given a number of supporting factors: scarcity threats increasing demand and the reason to buy, and consumers waiting to see if holiday offers surpass those see in the early start promotions, followed by the sudden rush to buy on Black Friday so as not to risk a given product being out of stock beyond this time period.

We also anticipate seeing a continued decline in product availability day-to-day as we progress throughout Cyber Five 2021. Given the analysis conducted on 2020 trends, (we tracked nearly a one percent decline in availability on Black Friday 2020 vs. Thanksgiving Day, followed by a two percent decline on Cyber Monday), our data indicates products went out-of-stock at a faster rate then also.

Ultimately only the digital-savvy retailers and brands will thrive during these opportune times, while others will continue to be in catch-up mode. Access to real-time marketplace insights can enable a first-to-market strategy, while having access to historical patterns can also help react faster to commonly seen future market factors, such as another pandemic or Global shipping crisis. These types of insights also support day-to-day operations, enabling retailers and brands to accelerate eCommerce growth, determine systems to distinguish their online strategies, discover efficiencies and drive profitable growth in an intensifying competitive environment.

Continue to follow us in the coming weeks to see the insights we track through Cyber Five 2021, and be sure to reach out to our Retail Analytics experts for access to more details regarding the above analysis.

November 23, 2021