The DataWeave Blog

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  • Which Amazon Sale Offered Better Deals: Prime Day in July or Big Deal Days in October?

    Which Amazon Sale Offered Better Deals: Prime Day in July or Big Deal Days in October?

    Amazon reported a record-breaking Prime Day this July, marking it as the biggest sales event in the company’s history. So when the eCommerce giant announced the Prime Big Deal Days this fall, we were curious to find out how big a deal it really is.

    The Prime Big Deal Days, similar in magnitude to the Summer Prime Day, promised to present substantial savings across a diverse range of categories, including electronics, toys, home, fashion, beauty, and Amazon products.

    However, for a shopper, an important question is: Does the Prime Big Deal Days in October offer lower prices than Amazon’s mega Prime Day event in July?

    To answer this question, we turned our data aggregation and analysis platform to focus on these two sale events and analyzed which event offered better deals across key categories and brands.

    TL;DR: Surprisingly, the Prime Big Deal Days in October offered, on average, 2.02% higher discounts than its counterpart event in July.

    Read on for details on how we went about our analysis and how discounts vary across categories, sub-categories, and brands.

    Our Methodology

    We tracked the prices and discounts of a large sample of products during both Prime Day events. The following are some relevant details about our sample:

    • Number of products analyzed: 1500+
    • Categories: Apparel, Consumer Electronics, Home & Furniture, Health & Beauty
    • Prime Day Sale Analysis: 11-12 July 2023
    • Prime Big Deal Days Analysis: 10-11 Oct 2023
    • Website: Amazon.com

    Our analysis focused on the differences in the prices and discount levels of products between the two sale events.

    Our Key Findings

    The average discount during the Prime Big Deal Days in October was 29.44%, which was 2.02% higher than the average discount during the Prime Day sale in July (27.42%). Interestingly, the October event offered better deals across each product category analyzed, albeit at slightly varying levels.

    By offering deeper discounts in October, Amazon may have aimed to encourage early holiday shopping, thereby capturing a larger share of the consumer wallet before competitors intensify their promotional activities closer to the festive season.

    As other retailers and online marketplaces gear up for their own holiday promotional events, Amazon’s decision to provide heightened discounts in October could serve as a preemptive move to secure customer loyalty and drive sales momentum before the onset of the peak shopping period.

    Additionally, Amazon’s strategic push to amplify the visibility of its diverse product offerings, including exclusive launches and partnerships during the October event might have contributed to the higher discounts.

    Next, let’s take a closer look at each product category.

    Apparel

    During October’s Prime Big Deal Days, the Apparel category experienced a notable uptick, boasting a 2.29% increase in discounts compared to the earlier Prime Day event in July.

    In the detailed assessment of Apparel sub-categories, Men’s and Women’s Swimwear, alongside Men’s Shoes, Innerwear, and Athleisure, emerged as the segments showcasing the most substantial average discounts during October. Fall also brought about more affordable prices for Women’s Innerwear and Men’s Shirts. However, Women’s Athleisure, Dresses, and Tops displayed diminished average discounts during this Prime Big Deal Days event.

    Delving into brand-specific analyses revealed intriguing trends. Athleisure brands such as Ibkul, Esprlia, and Ryka notably escalated their discounts in October after minimal markdowns during the Summer Prime Day sale.

    Steve Madden, witnessing heightened discounts in October, hinted at a growing demand for boots and footwear in the Autumn and Winter seasons. For instance, the Steve Madden Men’s Fenta Fashion Sneaker was priced at $46 during the Summer Prime Day, and only at $35 during the Prime Big Deal Days in October.

    Conversely, brands like PGA Tour, Land’s End, Roxy, and Anrabess offered more substantial discounts during the Summer compared to the October event.

    Consumer Electronics

    The Consumer Electronics segment during October’s Prime Big Deal Days showcased an average price decrease of 1.98% compared to the Prime Day event in July.

    Nearly all scrutinized subcategories experienced heightened discounts during the Fall Prime Big Deal Days in October. Tablets, Speakers, Drones, and Smartwatches notably presented higher discounts of 4.06%, 3.51%, 2.99%, and 2.69%, respectively, in October. However, more enticing deals were found on Earbuds and TVs during July’s event.

    Examining consumer electronics brands, Google stood out by offering the most compelling deals in October, boasting an average discount of 23.35%, marking an 8.94% increase from the Summer Prime Days’ 14.41%. Psier, Sony, and OnePlus also featured significantly reduced prices during the Fall. For example, the OnePlus 10 Pro | 8GB+128GB was $500 during the sale in July and only $440 during the Prime Big Deal Days in October.

    Conversely, prominent brands such as Bose, Sennheiser, Samsung, LG, and Asus opted to offer heavier discounts in July. Notably, the Samsung All-in-One Soundbar w/Dolby 5.1 was priced at $218 in October but only $168 in July.

    Home & Furniture

    During October’s Prime Big Deal Days, the Home & Furniture category experienced a notable 1.59% increase in average discounts compared to the Prime Day event held in July.

    Notably, Entertainment Units, Rugs, and Coffee Tables emerged as standout sub-categories that were more attractively priced in October, exhibiting price differences of 7.73%, 5.33%, and 4.80%, respectively.

    Interestingly, among the scrutinized sub-categories, only Luggage showed a lower price during the Prime Day sale in July compared to the October event. This shift likely reflects evolving consumer demand as the holiday season approaches, with items like rugs and entertainment units becoming increasingly sought-after categories for purchase.

    If you’re keen to explore how these trends vary across brands within this category, reach out to us for more insights.

    Health & Beauty

    During October’s Prime Big Deal Days, the Health & Beauty category showcased products at an average of 1.99% lower prices compared to the Prime Day event held in July.

    Our analysis of Health & Beauty reveals that a majority of the subcategories presented higher discounts during the October Big Deal Days event. Essential items such as Toothpaste, Sunscreen, and Electric Toothbrushes notably stood out as significantly more affordable during the Fall event, reflecting not only consistent demand but also a seasonal emphasis on these products. For instance, the Oral B iO Series 3 Limited Edition Electric Toothbrush, priced at $140 during the summer Prime Days, was further discounted to $120 in the fall event.

    Interestingly, Beard Care emerged as an exception, displaying higher discounts during the Prime Day sale in Summer compared to Fall’s Prime Big Deal Days.

    Examining brands within the category, Babyganics, Thinkbaby, and Vaseline showcased substantial increases in average additional discounts during October’s Prime Big Deal Days.

    Conversely, prominent brands like Maybelline, Neutrogena, and Cetaphil offered lower discounts during the fall event.

    Competitive Insights to Drive Optimized Sale Event Pricing

    At DataWeave, we understand the pivotal role of competitive pricing insights in empowering retailers and brands to gain a competitive edge, especially during significant events like Prime Day. Our commitment lies in providing retailers with precise and extensive competitor price tracking on a large scale. This empowers them to devise impactful pricing strategies and consistently uphold a competitive stance in the market. To learn more about how this can be done, talk to us today!

  • Why Unit of Measure Normalization is Critical For Accurate and Actionable Competitive Pricing Intelligence

    Why Unit of Measure Normalization is Critical For Accurate and Actionable Competitive Pricing Intelligence

    Competitive pricing intelligence is pivotal for retailers seeking to analyze their product pricing in relation to competitors. This practice is essential for ensuring that their product range maintains a competitive edge, meeting both customer expectations and market demands consistently.

    Product matching serves as a foundational element within any competitive pricing intelligence solution. Products are frequently presented in varying formats across different websites, featuring distinct titles, images, and descriptions. Undertaking this process at a significant scale is highly intricate due to numerous factors. One such complication arises from the fact that products are often displayed with differing units of measurement on various websites.

    The Challenge of Varying Units

    In certain product categories, retailers often offer the same item in varying volumes, quantities, or weights. For instance, a clothing item might be available as a single piece or in packs of 2 or 3, while grocery brands commonly sell eggs in counts of 6, 12, or 24.

    Consider this example: a quick glance might suggest that an 850g pack of Kellogg’s Corn Flakes priced at $5 is a better deal than a 980g pack of Nestle Cornflakes priced at $5.2. However, this assumption can be deceptive. In reality, the latter offers better value for your money, a fact that only becomes evident through price comparisons after standardizing the units.

    This issue is particularly relevant due to the prevalence of “shrinkflation,” where brands adjust packaging sizes or quantities to offset inflation while keeping prices seemingly low. When quantities, pack sizes, weight, etc. reduce instead of prices increasing, it’s important that this change is considered while analyzing competitive pricing.

    Normalizing Units of Measure

    In order to effectively compare prices among different competitors, retailers must standardize the diverse units of measurement they encounter. This standardization (or normalization) is crucial because price comparisons should extend beyond individual product SKUs to accommodate variations in package sizes and quantities. It’s essential to normalize units, ranging from “each” (ea) for individual items to “dozen” (dz) for sets, and from “pounds” (lb), “kilograms” (kg), “liters” (ltr), to “gallons” (gal) for various product types.

    For example, a predetermined base unit of measure, such as 100 grams for a specific product like cornflakes, serves as the reference point. The unit-normalized price for any cornflake product would then be the price per 100 grams. In the example provided, this reveals that Kellogg’s is priced at $0.59 per 100 grams, while Nestle is priced at $0.53 per 100 grams.

    Various Categories of Unit Normalization

    1. Weight Normalization

    Retailers frequently feature products with weight measurements expressed in grams (g), kilograms (kg), pounds (lbs), or ounces (oz).

    2. Quantity or Pack Size Normalization

    Products are also often featured with varying pick sizes or quantities in each SKU.

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    3. Volume or Capacity Normalization

    Products can also vary in volumes or capacities with units like liters (L) or fluid ounces (fl oz).

    DataWeave’s Unit Normalized Pricing Intelligence Solution

    DataWeave’s highly sophisticated product matching engine can match the same or similar products and normalize their units of measurement, leading to highly accurate and actionable competitive pricing insights. It standardizes different units of measurement, like weight, quantity, and volume, ensuring fair comparisons across similar and exact matched products.

    Retailers have the flexibility to view pricing insights either with retailer units or normalized units. This capability empowers retailers and analysts to perform accurate, in-depth analyses of pricing information at a product level.

    In some scenarios, analyzing unit normalized pricing reflects pricing trends and competitiveness more accurately than retail price alone. This is particularly true for categories like CPG, where products are sold in diverse units of measure. For instance, in the example shown here, we can view a comparison of price position trends for the category of Fruits and Vegetables based on both retail price and unit price.

    The difference is striking: the original retail price based analysis shows a stagnation in price position, whereas unit normalized pricing analysis reflects a more dynamic pricing scenario.

    With DataWeave, retailers can specify which units to compare, ensuring that comparisons are made accurately. For example, a retailer can specify that unit price comparisons apply only to 8, 12, or 16-ounce packs, as well as 1 or 3-pound packs, but not to 10 and 25-pound bags. This precision ensures that products are matched correctly, and prices are represented for appropriately normalized units, leading to more accurate pricing insights.

    To learn more about this capability, write to us at contact@dataweave.com or visit our website today!

  • From Data to Dollars: How Digital Shelf Analytics Drives Tangible Business Impact and ROI for Brands

    From Data to Dollars: How Digital Shelf Analytics Drives Tangible Business Impact and ROI for Brands

    For consumer brands, the digital marketplace presents an unparalleled landscape of opportunities for engaging with consumers and expanding their market presence. Within this dynamic environment, Digital Shelf Analytics has emerged as a crucial pillar in a brand’s eCommerce strategy. This technology provides valuable insights into a brand’s organic and paid visibility on marketplaces, content quality, pricing strategies, promotional efforts, and product availability. These insights help brands gain a comprehensive understanding of their competitive positioning and overall market performance.

    Nevertheless, many brands often grapple with the question of whether this understanding translates into tangible actions that drive real business impact and return on investment (ROI). This uncertainty stems from a lack of clarity about the direct correlation between digital shelf insights and key metrics such as enhanced sales conversions.

    Nonetheless, there is compelling evidence that when these insights are effectively harnessed and strategic actions are taken, brands can realize significant, measurable benefits.

    So, the question arises: does Digital Shelf Analytics genuinely deliver on its promises?

    At DataWeave, we’ve partnered with numerous brands to fuel their eCommerce growth through the application of digital shelf analytics. In this article, we will delve into these insights, uncovering the concrete and quantifiable results that brands can achieve through their investments in digital shelf analytics.

    Digital Shelf KPIs and Their Impact

    Digital Shelf Analytics is a robust system that analyzes specific key performance indicators (KPIs) about the digital shelf, furnishing brands with precise recommendations to not only bolster these KPIs but also to monitor the enhancements over time. The following is a brief explanation of digital shelf KPis and their expected impact areas:

    Product Availability: Ensuring Shoppers Never Hear “Out of Stock” Again

    Timely insights on the availability of products ensures brands reduce replenishment times at scale, which can significantly impact sales, creating an unbreakable link between product availability and revenue. With Digital Shelf Analytics, procurement and replenishment teams can set up notifications to promptly identify low or out-of-stock items and take swift action. This can also be done for specific ZIP codes or individual stores. In addition, availability plays a crucial role in a brand’s Share of Search and search rankings, as online marketplaces often ensure only in-stock products are shown among the top ranks.

    Share of Search: Dominating the Digital Aisles

    If a product isn’t visible, does it even exist? In fact, 70% of consumers never go beyond the first page of search results on major online marketplaces. Therefore, as a brand, the visibility of your products for relevant search keywords and their appearance on the first page can heavily determine your awareness metrics. This is where the concept of Share of Search comes into play. Think of it as securing prime shelf space in a physical store. Digital shelf insights and benchmarking with category leaders for Share of Search help ensure your products command relevant attention on the digital shelf.

    Content Quality: Crafting the Perfect Product Story

    Creating engaging product descriptions and visuals is akin to giving your products a megaphone in a crowded marketplace. By enhancing content quality, including product names, titles, descriptions, and images, brands can climb the search result rankings, leading to increased visibility and subsequently, more sales.

    Ratings and Reviews: The Power of Social Proof

    Public opinion holds immense sway. Research indicates that a single positive review can trigger a 10% surge in sales, while a multitude of favorable reviews can propel your product to a 44% higher trajectory. The correlation between ratings and sales is not surprising—each step up the rating ladder can translate to substantial revenue growth.

    While it’s reasonable to anticipate a connection between these KPIs and downstream impact metrics such as impressions, clicks, and conversions, we were driven to explore this correlation through the lens of real-world data. To do so, we meticulously monitored the digital shelf KPIs for one of our clients and analyzed the improvements in these metrics.

    It’s essential to acknowledge that not all observed impact areas can be solely attributed to enhancements in digital shelf KPIs. Still, it’s evident that a robust correlation exists. The following section presents an in-depth case study, shedding light on the results of this analysis.

    A Success Story: Real-World Impact of Digital Shelf Analytics

    Let’s dive into the journey of one of our clients – a prominent CPG brand specializing in the sale of baked goods and desserts. Through their experience, we will illustrate the transformative impact of our DataWeave Digital Shelf Analytics product suite.

    Over a period of one year, from August 2022 to July 2023, the brand leveraged several key modules of Digital Shelf Analytics for Amazon, including Share of Search, Share of Category, Availability, Ratings and Reviews, and Content Audit. Each of these digital shelf KPIs played a vital role in shaping the brand’s performance across various stages of the buyer’s journey.

    The buyer’s journey is typically delineated into three key stages:

    • Awareness: At this stage, shoppers peruse multiple product options presented on search and category listing pages, gaining an initial understanding of the available choices.
    • Consideration: Here, shoppers narrow down their selections and evaluate a handful of products, moving closer to a purchase decision.
    • Conversion: In this final stage, shoppers make their ultimate product choice and proceed to complete the purchase.

    Let’s now examine the data to understand how digital shelf KPIs helped drive tangible ROI on Amazon for the brand across the stages of the buyer journey.

    Stage 1: Raising Awareness

    Enhancing Share of Search and Share of Category can help brands boost product visibility and raise brand awareness. The following chart demonstrates the steady, incremental improvements in our client’s Share of Search and Share of Category (in the top 20 ranks of each listing page) throughout the analyzed period. These enhancements were achieved through various measures, including product sponsorship, content enhancement, price optimization, promotional initiatives, and more.

    This amplified Share of Search and Share of Category directly translates into improved product discoverability, as evident from the surge in impressions depicted in the chart below.

    Stage 2: All Things Considered

    In the consideration stage, shoppers make their product selections by clicking on items that meet their criteria, which may include factors like average rating, number of ratings, price, product title, and images. For brands, this underscores the importance of crafting meticulously detailed product content and accumulating a substantial number of ratings.

    The subsequent chart illustrates the year-long trend in both average ratings and the number of ratings, both of which have displayed steady improvement over time.

    The enhancements in the number of ratings and the average rating have a direct and positive impact on product consideration. This, in turn, has led to a noticeable year-over-year increase in page views, as indicated in the chart below.

    These improvements are likely to have also been influenced by the overall enhancement of content quality, which is detailed separately in the section below.

    Stage 3: Driving Decisions

    As buyers progress to the next stage, they reach the pivotal point of making a purchase decision. This decision is influenced by multiple factors, including product availability, content quality, and the quality of reviews, reflecting customer sentiment.

    Our client effectively harnessed our Availability insights, significantly reducing the likelihood of potential out-of-stock scenarios and enhancing replenishment rates, as highlighted in the chart below. The same chart also indicates improvements in content quality, measured by the degree to which the content on Amazon aligns with the brand’s ideal content standards.

    Below, you’ll find the year-over-year growth in conversion rates for the brand on Amazon. This metric stands as the ultimate measure of business impact, directly translating into increased revenue for brands.

    As the data uncovers, growth in key digital shelf KPIs cumulatively had a strong correlation with impressions, page views, and conversion rates.

    It is also important to note that the effect of each KPI cannot be viewed in isolation, since they are often interdependent. For example, improvement in content and availability could boost Share of Search. Accurate content could also influence more positive customer feedback. Brands need to consider optimizing digital shelf KPIs holistically to create sustained business impact.

    Impact on eCommerce Sales

    After the implementation of digital shelf analytics, the results spoke for themselves. Sales consistently outperformed the previous year’s records month after month. As shown in the chart below, the diligent application of DataWeave’s recommendations paved the way for an impressive 8.5% year-over-year increase in sales, leaving an indelible mark on the brand’s eCommerce success.

    From boosting product visibility to catapulting conversion rates, Digital Shelf Analytics serves as the key to unlocking unparalleled online success.

    While the success story detailed above does not establish a direct causation between Digital Shelf Analytics and sales revenue, there is undoubtedly a strong correlation. It’s evident that digital shelf KPIs play a pivotal role in optimizing a brand’s eCommerce performance across all stages of the buyer journey. Hence, for brands, it is vital that they collaborate with the right partner and harness digital shelf insights to fine-tune their eCommerce strategies and tactics.

    That said, the eCommerce landscape is in a constant state of flux, and there is still much to learn about how each digital shelf KPI influences brand performance in the online realm. With more data and an increasing number of brands embracing Digital Shelf Analytics, it’s only a matter of time before a direct causation is firmly established.

    Reach out to us today to know more about how your brand can leverage Digital Shelf Analytics to drive higher sales and market share in eCommerce.

  • Revolutionizing Fuel Pricing: How Fuel Retailers and Convenience Stores Can Gain a Winning Edge with DataWeave

    Revolutionizing Fuel Pricing: How Fuel Retailers and Convenience Stores Can Gain a Winning Edge with DataWeave

    Consider this scenario: A retailer establishes its fuel prices using pricing data that’s a few days old, only to subsequently discover that a nearby competitor is offering substantially lower prices. The result? Lost customers, decreased foot traffic, and diminished sales. This serves as a stark reality that retailers must confront and address today.

    In the fiercely competitive realm of retail, where every decision holds weight, maintaining a competitive edge is paramount. The fuel category, frequently underestimated, has the potential to significantly impact a retailer’s revenue stream. This challenge is not unique; retailers worldwide, particularly in North America, grapple with a common hurdle: mastering the intricate art of real-time fuel pricing.

    The Quest For Reliable, Real-Time Fuel Pricing Data

    For retailers, traditional methods for procuring and analyzing fuel price data have proven to be both expensive and error-prone, often relying on manual data collection or third-party data providers. These outdated approaches yield frustrating delays, inaccuracies, and missed opportunities. When it comes to obtaining timely fuel pricing intelligence, the majority of fuel retailers grapple with three central challenges:

    • Low Accuracy: Ensuring that fuel pricing information remains up-to-date, dependable, and actionable, even when sourced from complex web-based platforms.
    • Less Coverage: Acquiring comprehensive data that encompasses all of North America, spanning across retailers, convenience stores, fuel stations, and beyond.
    • High Cost: Effectively managing the substantial costs associated with acquiring and processing this vital information.

    DataWeave’s Fuel Pricing Intelligence Solution

    Comprehensive, accurate, and real-time fuel pricing intelligence can play a huge role in the profitability of retailers throughout North America. DataWeave takes the forefront in delivering this transformative Data-as-a-Service (DaaS) solution to some of the most prominent retailers in the region, including the top 20 fuel retail behemoths.

    With a rich and extensive history spanning over a decade in the realm of competitive intelligence, DataWeave boasts an impressive track record of empowering well-informed decision-making in retail. We leverage state-of-the-art technology to bring an unparalleled level of accuracy, timeliness, and coverage to fuel pricing intelligence.

    The following are some compelling advantages offered by our solution:

    Accurate and Real-Time First Party Data

    We deliver retailers an unparalleled advantage through real-time, first-party fuel price data. Our data originates directly from the retailer’s own channels, encompassing websites and mobile apps, rendering it the industry’s foremost and most reliable source.

    Imagine having access to fuel pricing information that updates as frequently as every 30 minutes. This rapid update cadence guarantees that you, as a retailer, constantly possess the latest pricing insights at your fingertips, empowering you to respond swiftly to market fluctuations and competitor manoeuvres. Our comprehensive data spans a wide spectrum of fuel types, including:

    • Gasoline: Be it regular, mid-grade, super, premium, ethanol-free, ethanol blends, methanol blends, or reformulated gasoline, we have got you covered.
    • Diesel: Our data encompasses biodiesel, biodiesel off-road, biodiesel blends, biodiesel ultra-low sulfur (ULS), diesel ultra-low sulfur (ULS), diesel off-road, standard diesel, and premium diesel.

    Armed with our real-time, first-party data, you can make pricing decisions with unwavering confidence, secure in the knowledge that you possess access to the most current, authoritative, and extensive fuel pricing intelligence in North America.

    The data points we capture directly from relevant web sources include: gas station postal code, store name and code, location, city, state, ZIP code, fuel type, competitor name, regular price, member price (if available), time and date of data capture, and more.

    Click here if you wish to access a sample report of our fuel pricing data.

    Unrivaled Geographical Coverage

    Our extensive coverage of fuel data spans over 30,000 ZIP codes and encompasses the top 100 retailers across the western, mid-western, and eastern regions of the United States.

    Retailers benefit from the flexibility to configure and tailor the solution to their precise needs, whether it involves adding more locations or selectively acquiring specific segments of the data. This far-reaching coverage guarantees that retailers, whether situated in bustling urban centers or remote areas, can readily access the essential data required to maintain their competitive edge.

    Moreover, if you currently source your fuel pricing data from alternative providers, our solution seamlessly integrates, amplifies, and complements your existing array of data sources, ensuring a harmonious and unified approach to data acquisition.

    Optimization of Dynamic Pricing Strategies

    In the world of retail, the importance of timing cannot be overstated. Even a mere difference of a few cents can translate into millions of dollars in revenue impact. With DataWeave, retailers gain the capability to make data-driven decisions that provide them with a competitive edge around the clock, every single day.

    Our platform empowers you to unearth margin gaps by pinpointing opportunities to raise prices while maintaining your competitive pricing position. It also identifies instances where you may be substantially overpriced, prompting necessary price adjustments to ensure competitiveness within the market. All these valuable insights are available at a hyperlocal level, facilitating pricing efficiency and optimization across your various regions of coverage. Equipped with this real-time data, you can swiftly adapt to ever-changing market conditions.

    Furthermore, our comprehensive competitive data seamlessly integrates into your existing pricing systems through APIs, facilitating quick and informed pricing actions based on robust data.

    Reliable and Customer-First Tech Platform

    Our platform boasts a remarkable level of sophistication when it comes to data aggregation, normalization, visualization, and integration capabilities. It stands as a massively scalable system with the capacity to aggregate billions of data points daily, spanning thousands of web sources. This includes the intricate handling of sources like mobile apps and websites known for frequently altering their site structures, among others.

    What truly sets us apart is our proficiency in addressing these challenges through a blend of human expertise and large-scale machine learning. Additionally, our commitment to delivering unmatched service extends to round-the-clock, 24/7 support. This comprehensive approach makes our fuel pricing intelligence solution not only effective but also cost-efficient in meeting your fuel data requirements.

    We also provide a variety of options for you to consume our data, which includes receiving our reports via email, SFTP, S3 buckets, data lakes like Snowflake, and APIs.

    Enhance your Fuel Pricing Strategies with DataWeave

    In the ever-competitive world of retail, staying ahead is not just a goal; it’s a necessity. The fuel pricing landscape, often overlooked, holds immense power to impact a retailer’s profitability. DataWeave’s real-time, comprehensive, and accurate fuel pricing intelligence solution is the key to securing this advantage. Retailers and convenience stores now have a powerful platform at their disposal, offering unparalleled precision, comprehensive coverage, and the agility needed to navigate this landscape.

    Join the ranks of industry leaders who have already harnessed the potential of DataWeave. Reach out to us today to redefine your approach to fuel pricing and propel your business to new heights!

  • Backpacks to Binders: Examining Back-to-School Price Hikes in 2023

    Backpacks to Binders: Examining Back-to-School Price Hikes in 2023

    This year’s back-to-school shopping season has presented a considerable challenge for inflation-weary parents in the US. Despite chatter about alleviating inflation rates, the reality of rising prices tells a different story.

    As families hunt for school supplies, apparel, and other essential items for the academic year, the financial strain remains palpable. Experts note that elevated prices coupled with extensive shopping lists have compelled many parents to be more discerning about their purchases, expenditure thresholds, and preferred shopping venues. Essentially, shoppers are looking for more value for their money with every purchase. According to the National Retail Federation’s 2023 projection, this back-to-school season is poised to be the most financially demanding one to date. The forecast anticipates total spending exceeding $135 billion, marking an increase of over $24 billion compared to the previous year.

    At DataWeave, we continually monitor and analyze pricing activity among retailers across popular shopping categories. Our recent study delved into the pricing trends in the back-to-school category, which includes backpacks, fundamental school supplies, binders, planners, writing instruments, and more. The aim was to understand how the costs of back-to-school essentials have shifted in 2023 in comparison to 2022.

    Pricing of Back-to-School Products in 2023

    Our analysis, spanning 1200 products across major retailers such as Amazon, Walmart, Kroger, and Target reveals an average price surge of 9.8% in 2023 compared to the previous year.

    This upward pricing trend can be attributed to retailers’ strategic efforts to guarantee product availability and uphold quality during a period of heightened demand. As the back-to-school season sparks a surge in shopping activity, retailers like Kroger, Amazon, and Walmart are likely adjusting prices strategically to align with the expenses incurred in securing adequate supplies, managing logistics, and meeting operational demands.

    Average Price Increase 2022-23 By Retailer, Back-To-School Category

    Kroger led the way with a 12.1% price hike, the most significant among the scrutinized retailers. It was followed by Amazon with an average increase of 10.5% and Target with 7.8%. Walmart remains the outlier, with the smallest price increases for back-to-school products in 2023.

    Pricing across Categories and Subcategories

    Among the various categories examined, backpacks have experienced the most pronounced escalation, with prices soaring by a substantial 25%. Within the top 10 highest priced backpacks we looked at, the most substantial price hikes were observed for brands like The North Face (44%) and Fjallraven (33%).

    Average Price Increase 2022-23 By Category Across Retailers, Back-To-School

    The Office Organization category also witnessed a significant price surge of 16.8%, attributed to subcategories like File Folders and Desk Accessories, which saw respective price hikes of 31.3% and 25.2%.

    Categories like Memo Boards & Supplies (14.3%), Binders (12.5%), and Themebooks & Portfolios (12.4%) have likewise encountered notable price hikes. On the other end of the spectrum, Planners and Journals saw a modest rise of 4.4%, while Mailing and Shipping Supplies and Office Machine Accessories experienced comparatively lower price increases at 7% each.

    Interestingly, while items like Journals and Writing Instruments maintain popularity year-round, Backpacks and Memo Boards are particularly sought after during the back-to-school season, contributing to more substantial price hikes in these categories.

    On the other hand, consumers are consistently on the lookout for cost savings and deals from retailers, especially as they deal with inflationary pressures. In response, Kroger, Target, and Walmart have introduced back-to-school savings initiatives. For instance, Kroger is offering more than 250 items for less than $3 and some items for just $1, encompassing essentials such as paper, pencils, and glue sticks. Lower price increases across categories like journals and writing essentials could be attributed to these initiatives.

    Brands with the Highest Price Increases across Categories

    Across various back-to-school categories, some brands stand out with significant price increases. For instance, in the Office Organization category, Ubrands leads the pack with a substantial 38.30% surge, followed by Pendaflex at 30.80%. Meanwhile the Backpacks category sees Champion and Adidas recording significant price jumps of 29.6% and 23.6%, respectively.

    Brands with highest price increases across Back to School categories 2022-23

    Ubrands and Pentel from Basic School and Office Supplies Category also record high price increases at 22.70%, followed by Carolinapd from the Themebooks & Portfolios Category at 21.08%. 3M in Mailing in Shipping Supplies shows the lowest price increase at 6.80%.

    Interestingly, the ever popular Writing Instruments category showcases BIC at the forefront, exhibiting the most notable price escalation of 13.2%. Expo trails closely at 11.6%, while Uniball demonstrates an 11.4% increase. Even Sharpie, a beloved writing brand, displays a modest price uptick of 9.3%.

    The average price increments seen across brands mirror the overarching trend of increased costs throughout back-to-school categories.

    Navigating the Competitive Pricing Landscape During the Back-To -School Season

    Given the challenging pricing landscape during the back-to-school season, retailers would be wise to provide lower-cost alternatives alongside popular brand names. This allows parents to easily make substitutions while adhering to a school supplies list.

    With our competitive pricing intelligence solution, retailers can confidently analyze and monitor their prices relative to competition, ensuring they maintain a leadership position in pricing within their desired set of products, while posturing for margins with other products.

    To learn more about how we can help, reach out to us today!

  • DataWeave Launches PricingPulse: Empowering Retail Leaders With Comprehensive and Strategic Pricing Insights

    DataWeave Launches PricingPulse: Empowering Retail Leaders With Comprehensive and Strategic Pricing Insights

    In the evolving retail landscape, success often hinges on a singular focal point: pricing. A recent Statista survey revealed that 70% of US online users prioritize competitive pricing in their digital shopping choices. In this cutthroat arena, where surpassing rivals is paramount, a deep comprehension of pricing nuances is no longer just an edge, but a necessity.

    Retailers are increasingly adopting pricing intelligence solutions that meticulously dissect competitor pricing data in comparison to their own, down to the SKU level. This analysis empowers their pricing teams with the insights they need to price their products competitively on a day-to-day basis.

    However, in a landscape where a staggering 50 million price changes occur daily, reliance on a reactive pricing intelligence solution, though effective in many ways, often falls short. To develop a strategic and predictive pricing engine, retailers also need the ability to track historical pricing relative to market conditions, competitor actions, seasonality, promptness of competitor pricing actions, and more. This would be particularly useful for senior retail pricing and business unit leaders as they look to gain a strategic perspective on their competitive pricing health. However, even today’s leading providers of retail pricing intelligence solutions lack in this area. This results in a relatively myopic view of competitive pricing even in large retail organizations.

    Introducing DataWeave’s PricingPulse

    DataWeave’s PricingPulse helps retail leaders better understand their competitive pricing strategies in comparison to relevant market dynamics over time. The capability bridges the gap between day-to-day competitive pricing operations and long-term strategic pricing analysis and actions, enabling senior retail pricing leaders to untangle the complexities of their pricing strategies. Delivered as a dashboard, the view offers an elevated vantage point for industry-wide pricing dynamics, empowering retailers with the foresight needed to navigate market shifts, predict vulnerabilities, and capitalize on new opportunities.

    PricingPulse is provided to all DataWeave retail customers as an add-on to our Pricing Intelligence solution.

    The insights offered by PricingPulse enable retailers to answer pivotal questions about competitor pricing behaviors, price leadership across categories, timing of price changes, and the effectiveness of capitalizing on price improvement opportunities. Some of the questions that PricingPulse offers answers to include:

    • How frequently are my competitors changing prices and for which products?
    • How does my price leadership vary across key product categories?
    • Which day of the week or month do my competitors change their pricing most and least frequently?
    • How well do I seize on price improvement opportunities over time?

    Strategic Pricing Views Via PricingPulse

    In the following section, we share a few views available to retail leaders via our PricingPulse dashboard. For a complete list of insights available on the dashboard, request a demo today.

    Competitive Price Leadership Across Retailers and Categories

    This view provides retailers with an overview of the price leaders across various product categories and how it changes with time. More often than not, retailers would aim to gain price leadership in certain categories, while maintaining healthy margins in others.

    Retailers can also gauge their consistency and effectiveness in maintaining a competitive edge for key categories over time. They can fortify areas of strength and identify opportunity areas to optimize their pricing.

    In addition, the dashboard tracks a retailer’s price index across categories, a measure that determines its price competitiveness.

    The price index is determined by dividing the retailer’s price by the lowest price offered by any of its competitors. A ratio lesser than 1 indicates that the retailer is the lowest priced in the market. This measure is also presented for competitors, providing insights into competitors that are most attractively priced in the market. A timeline trend of this metric helps track how price leadership among retailers changes over time.

    Price Change Trends

    This view provides a summary of the level of price changes by a retailer and its competitors over a period of time, which includes the average magnitude of price changes as well as the proportion of the retailer’s assortment that underwent these price changes.

    In addition, the number of price changes each month are provided for each retailer. This is further broken down into the total number of price changes during each day of the week.

    These insights help retailers determine which competitors are most and least active in their pricing activities, how aggressive the pricing actions are, and if there are any specific price change patterns followed in terms of the days of the week or month.

    Price Improvement Opportunities and Actions

    The dashboard actively reports on price improvement opportunities, which could include either a price increase opportunity or a price decrease opportunity, for a retailer and its competitors across categories over time. A price increase opportunity occurs when a product is significantly under priced (by more than 2%) and a price decrease opportunity occurs when a product is significantly overpriced (by more than 2%).

    Further, the retailer gains insight into how many price improvement opportunities were actually acted on within 15 days of the opportunity presenting itself. This “action rate” helps retailers quantify how well they seize on price improvement opportunities, which eventually result in higher sales and margins. The dashboard also reports on the average number of days it took for a retailer to act on a price improvement opportunity, thereby quantifying the responsiveness and agility of pricing teams.

    This is especially useful for pricing leaders to “audit” or evaluate the performance of their pricing teams. When similar insights are viewed for a set of competitors as well, retailers can better understand the level of sophistication of their competitors’ pricing operations.

    Ready to Elevate Your Pricing Game?

    The launch of DataWeave’s PricingPulse marks a significant advancement in the realm of pricing solutions for retail leaders. As the retail landscape undergoes continuous transformation, the significance of precise pricing strategies cannot be overstated. PricingPulse is the first and only pricing view in the industry to bridge the gap between tactical pricing decisions and comprehensive strategic analysis.

    In a world where agility and foresight are crucial, PricingPulse equips retail leaders with the ability to predict competitor actions, optimize pricing strategies, and stay ahead of the competition.

    If you are a senior pricing leader or retail business unit head, reach out to us today to either sign up or learn more!

  • Amazon US Prime Day 2023: Insights on Pricing and Discounts Across Popular Categories and Brands

    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.

    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!

  • Navigating the Turbulent Home and Furniture eCommerce Market in 2023 with the Power of Competitive Intelligence

    Navigating the Turbulent Home and Furniture eCommerce Market in 2023 with the Power of Competitive Intelligence

    The home and furniture retail industry is going through a turbulent time. As inflation reared its head mid-2022, leading retailers in the category have been grappling with the higher costs associated with producing and distributing their products, as well as reduced shopper demand. The rising costs of raw materials, transportation, and labor have had a direct impact on the pricing dynamics within the industry. For example, reports indicate container rates soared to nearly 10 times pre-pandemic levels towards the end of 2021.

    Furthermore, shoppers’ spending power has been constrained, while higher interest rates have suppressed demand. Retailers have had to adapt their assortment and pricing strategies to cater to a wider range of shopper preferences driven by changing lifestyles and a growing emphasis on sustainability. Post-pandemic, demand has been primarily driven by affluent shoppers.

    Towards the end of 2021, due to supply delays and disruptions, retailers heavily stocked up on available products. However, when demand subsequently decreased in 2022, they were left with a significant amount of unsold stock that was purchased at high rates. This put them in a difficult situation, as they had an excess of products but were unable to sell them even at reduced prices without impacting their profit margins. Additionally, staying competitive in a rapidly changing market environment was equally important.

    Given this context, it is crucial for home and furniture retailers to adopt a data-driven approach that utilizes competitive and market insights to consistently maintain or increase their online sell-through rates. DataWeave’s Commerce Intelligence solution offers exactly that, empowering retailers across various industry segments to stay updated on evolving consumer trends and competitor actions.

    To gain a better understanding of the pricing strategies employed by leading home and furniture retailers throughout the past year, we leveraged our proprietary data aggregation and analysis platform to track and analyze the pricing of a wide range of products across multiple retailers and subcategories within the industry.

    Our Research Methodology

    • Number of SKUs: 400,000+
    • Key retailers tracked: Amazon, Wayfair, Home Depot, Overstock, Target, Walmart
    • Key categories reported: Home and Office, Bed and Bath, Bathroom, Bedroom, Decorative, Dining Room, Kitchen, Garden & Patio, Hardware
    • Timeline of analysis: April 2022 to April 2023

    Our Findings

    Interestingly, our analysis indicates that average prices in the home and furniture category rose by around 5% between March 2022 and April 2023. However, there have been seasonal fluctuations in the prices over the course of the year.

    Among the various subcategories, the most substantial price surge was observed in home office equipment, with an uptick of 9.3% in January 2023 when compared to March 2022. The surge in demand for home office furniture, fueled by the widespread adoption of work from home arrangements, played a pivotal role in depleting inventories and consequently driving up prices. Additionally, the shift towards collaborative workspaces and the gradual expansion of office environments have contributed to the sustained demand for office furniture.

    Avg. price changes MoM across home and furniture subcategories from April 2022-23.

    While prices for several subcategories rose significantly, others experienced subdued growth, such as bed and bath. The subcategory experienced the lowest price increment, registering a modest 2.8% increase annually. This can be attributed to the impact of a subdued housing market and a decrease in first-time buyers, which may partly be due to the global recession and inflationary pressures.

    Moreover, retailers overestimated the demand for home furniture during the holiday season, leading to an overstocking of inventory. Consequently, prices experienced a dip from October to December 2022. In fact, this was a common trend across all home and furniture subcategories. As retailers emerged from the holiday season, prices rose to their highest level in January 2023, and have stayed relatively stable since.

    Some of these trends vary among retailers as each faces different challenges and responds in distinct ways.

    Wayfair, for example, shows a significant dip in pricing after October 2022, with prices stabilizing in 2023. This could be in response to the retailer’s shrinking consumer count, losing 5 million of its 1.3 billion consumers in 2022 due to declining demand.

    Avg. price change MoM within the home and furniture sector across retailers from April 2022-23.

    In fact, online furniture retailers like Wayfair and Overstock reported declines in annual revenue in 2022, as the furniture sector continued to normalize from the high spending seen during COVID-era lockdowns. Wayfair reported that its 2022 net revenue was $12.2 billion, down almost 11% from the year prior. The company also laid off 10% of its workforce in August 2022. Overstock’s reported annual net revenue in 2022 was $1.9 billion, a 30% decrease year-over-year.

    Interestingly, both companies took contrasting approaches in response to this situation. Wayfair opted for aggressive cost-cutting measures, including layoffs and a reduced marketing budget. On the other hand, Overstock focused on attracting new customers through influencer marketing and improving their app, aiming to expand their customer base. With a strategy geared towards younger buyers, Overstock allocated a larger marketing budget than ever before. Our data supports the fact that Overstock did not rely on price reductions to entice shoppers.

    Target has consistently maintained lower price increases compared to Walmart, defying the common perception of Walmart being more conservative in its pricing. Notably, Amazon also stood out minimal price increases throughout the year, being surpassed only by Wayfair since November 2022.

    As price sensitive shoppers increasingly compare prices before making a purchase decision, retailers need to ensure they are priced competitively in the market on a consistent basis to liquidate stock and gain market share without compromising significantly on margins.

    A Sophisticated and Versatile Product Matching Solution is Essential to Achieving Price Leadership

    Product matching plays a vital role in monitoring competitive prices and analyzing price leadership. Within the home and furniture category, there is often a multitude of representations for the same product across various online platforms. Furthermore, eCommerce websites offer a wide array of options, including variations in size, color, material, and similar products. Without an accurate and comprehensive method of matching these products, it becomes impossible to track and compare prices effectively, especially on a large scale. Thus, a versatile product matching engine tailored to the unique requirements of the home and furniture sector becomes essential.

    DataWeave offers an industry-leading product matching platform that harnesses advanced AI models specifically trained to identify and leverage multiple product attributes extracted from titles, descriptions, and images to accurately match products across websites. Additionally, our platform intelligently matches similar products based on a diverse range of extracted attributes. This empowers our retail partners to gain competitive pricing intelligence not only on exact product matches but also on similar and substitute products, as well as their respective variants.

    With our competitive pricing intelligence solution, retailers in the home and furniture industry can confidently analyze and track prices, ensuring they stay at the forefront of price leadership in their market.

    To learn more, reach out to us today!

  • Fashion eCommerce 2023: Leveraging Pricing Intelligence to Stay Competitive Despite Reduced Demand

    Fashion eCommerce 2023: Leveraging Pricing Intelligence to Stay Competitive Despite Reduced Demand

    The fashion industry is currently undergoing a period of stabilization after facing significant disruptions in recent years. Fashion retailers find themselves navigating not only changing consumer preferences but also the challenges brought about by inflation and supply chain issues that are remnants of the COVID-19 era.

    The effects of inflation have raised concerns regarding overabundance, rise of sustainable and pre-used fashion and declining sales, creating a mismatch between supply and demand within the market. As consumers scale back on spending due to rising prices, fashion retailers are left grappling with surplus inventory, heightened storage costs, and reduced profit margins.

    Consequently, these market dynamics have significantly impacted the pricing strategies employed by fashion retailers, resulting in dynamic shifts in pricing and competitiveness across different time periods, subcategories, and individual retailers.

    Counteracting this impact requires fashion retailers to adopt a data-driven approach that leverages competitive and market insights. They must adopt agile and versatile pricing strategies that enable advanced pricing and assortment management. By understanding their market position and the competitive landscape, retailers can effectively react to reduced demand and inflationary pressures without compromising heavily on their top line and profitability.

    At DataWeave, we harnessed the power of our proprietary data aggregation and analysis platform to track and analyze the prices of prominent fashion retailers to uncover unique insights into their price competitiveness over the past year, as well as understand how pricing strategies varied across diverse subcategories.

    Our Methodology

    For this analysis, we tracked the average price changes among leading US fashion retailers over 12 months to understand how their pricing across several fashion subcategories altered in response to supply chain inefficiencies, inflationary pressures, seasonal effects, and changing consumer preferences.

    • Sample: 88,000+ SKUs matched across 5 leading retailers
    • Retailers tracked: Amazon, Walmart, Target, Macy’s, Zappos
    • Key subcategories reported on: Boots, Bottoms, Coats, Denims, Flats, Heels, Jackets, Kids
    • Timeline of analysis: April 2022 to April 2023

    Our Analysis

    While prices have generally been rising in several industry segments, such as groceries, due to inflation, the fashion sector has experienced relatively stable prices, with even a few periods of price drops. In fact, average prices in April 2023 are 1.2% lower than those in April 2022. The main reason for this trend is that consumers have become cautious about discretionary spending on fashion in order to prioritize other necessities, resulting in lower demand and overstocking by retailers.

    In the first quarter of 2022, clothing accounted for only 3.9% of total expenditure by US consumers, down from 4.3% in 2019 before the pandemic. Additionally, in March 2023, 60% of fashion retailers in the US still had surplus goods, accounting for almost 20% of their entire stock. As demand decreased, fashion retailers started offering freebies with purchases, bundling products, giving away unwanted items, and notably, slashing prices.

    Subcategory level analysis of Average Price Change Month-on-Month between April 2022 – April 2023

    Our analysis at a subcategory level reveals that in winter 2022, seasonal demand led to the largest price increases of 6-11% in coats, boots, and jackets. However, these prices quickly declined afterward. In 2023, stabilization of raw material costs and a continuing decline in demand for non-essential apparel and fashion accessories are factors contributing to a significant drop in prices.

    Some of these trends vary among retailers as each faces different challenges and responds in distinct ways. Our data indicates that some retailers have chosen to increase their prices from Q3 2022 due to mounting pressure on profit margins, while others have further lowered prices due to increasing inventory levels.

    Average Price Change Month-on-Month Across Amazon, Macy’s, Walmart, Target, and Zappos between April 2022 – April 2023

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    Capability Spotlight

    Matching products across competitor websites is an essential part of tracking competitive prices and analyzing price leadership. In fashion, matching exact products is no mean feat. Websites often host a slew of variants in terms of size, color, material, etc. without any form of standardization in the way the products are represented. So fashion retailers often struggle with simply unusable pricing insights resulting from inaccurate and incomplete product matching. 

    DataWeave’s industry-leading product matching algorithm recognizes and leverages dozens of product attributes extracted from product titles, descriptions, and images to match products at very high levels of accuracy and coverage. What’s more, our platform can also match similar products based on a large variety of parameters, so our customers can benefit from a comprehensive competitive perspective.

    _____________

    For example, in August, Target reported a 90% plunge in profits during the second quarter of 2022, as shoppers concerned about inflation reduced spending on nonessential items. The company stated that its price cuts did not have the desired impact, resulting in a 1.5% increase in inventory compared to three months prior. As a result, we can see that Target’s average fashion prices spiked in August 2022 and have remained steady since then. Walmart also faced similar challenges and increased its prices in October 2022.

    However, during the same period in August 2022, Macy’s announced increased discounts to clear out excess inventory in preparation for the holiday shopping season. In the same announcement, Macy’s highlighted how the rising cost of groceries, which had experienced a double-digit increase, was impacting consumers’ budgets, changing their behaviors, and increasing the need for discounts. Our data reflects this, showing a significant drop in prices from October 2022 to January 2023.

    However, in January 2023, Macy’s successfully managed its inventory levels, reducing them from $6.4 billion in October 2022 to $4.3 billion in January 2023. As a result, average prices at Macy’s have started to rise.

    _____________

    For today’s fashion retailers, achieving a balance between expansion goals and profitability is crucial. It requires a meticulous examination of competitive and market insights on a regular basis to mitigate competitive pressures and navigate through these challenging times successfully.

    DataWeave’s platform offers retailers the insights they need to gain a competitive advantage. With access to accurate, timely, and actionable pricing and assortment insights, retailers can make informed decisions and stay ahead of the competition. To learn more, reach out to us today!

  • Impact of Inflation on Grocery: Pricing Insights on Leading US Retailers

    Impact of Inflation on Grocery: Pricing Insights on Leading US Retailers

    Inflation, like an invisible force, silently shapes the dynamics of economies, gradually eroding the purchasing power of consumers and leaving its imprint on various industries. High costs, hiring lags, and stagnating earnings pose severe challenges to businesses. One industry segment that intimately feels the impact of inflation is grocery, where price increases can be extremely concerning for the average consumer.

    Over the last 12-plus months, the US has experienced a notable rise in inflation, stirring up concerns and influencing the way we shop for everyday essentials. Rising costs of raw materials, transportation, and labor have all played a role in driving up prices. Additionally, disruptions in global supply chains and fluctuations in currency exchange rates have further exacerbated the situation, creating a complex web of interdependencies.

    To understand the magnitude of this phenomenon across leading e-retailers, we delved into an in-depth analysis of four major retail giants: Walmart, Amazon, Target, and Kroger.

    Each of these retailers possesses a unique business model and competitive strategy, as well as faces unique challenges. This leads to distinct approaches to managing inflationary pressures. Walmart for instance, expects operating income growth to outpace sales growth in 2023. Given the persistence of high prices and the potential for further macro pressures, the retailer is taking a cautious outlook. In 2022, Amazon’s eCommerce business swung to a net loss of $2.7 billion, compared to a profit of $33.4 billion the previous year.

    Amid these challenging circumstances, understanding the grocery pricing trends and strategies becomes imperative for retailers, both online and in stores to adapt and thrive in the current economic landscape. By examining their pricing trends, we can gain valuable insights into how these companies navigate the turbulent waters of the grocery industry against the backdrop of inflation.

    Our Research Methodology

    The data collected for our analysis encompassed a diverse range of products, from pantry staples like flour and rice to perishable goods like dairy and produce – a basket of around 600 SKUs matched across Amazon, Kroger, Target and Walmart, between January 2022 to February 2023.

    Further, we separately focused on the prices of a smaller subset of 30+ high-volume daily staples that are likely to yield higher sales and margins for these retailers.

    Average Selling Price of a Broad Set of Grocery Items

    Our analysis reveals that Walmart consistently offers the lowest prices, with an average of 8% below its closest competitor, Target, despite an annual price increase of about 5%. Walmart seems to prioritize a “stability and predictability” strategy over margin optimization. The retailer’s 8% growth last quarter indicates that this strategy is bearing fruit. However, it’s important to note that this approach may have its drawbacks as Walmart’s margins come under pressure.

    Average selling price trend across a basket of 500+ SKUs across Target, Walmart, Kroger, Amazon in the grocery category from Jan ’22 to Feb ’23.

    In order to weather inflationary pressures, Walmart may adopt a cautious approach to growth while also focusing on securing margins. Reports suggest that the retailer has been pushing back against consumer packaged goods (CPG) manufacturers following a series of price hikes to counter inflationary cost pressures in early 2023. One of the reasons behind Walmart’s growth and increased sales can be attributed to ‘non-traditional’ higher-income households now seeking deals and discounts at Walmart as their spending power declines.

    Interestingly, Amazon emerges as the highest-priced retailer, followed by Kroger, which increased its prices by 10% throughout the year. Consumer perception commonly associates Amazon with the lowest prices, but the data tells a different story. In fact, Amazon has been charging 12% to 18% higher prices than Walmart for groceries and is still maintaining its success.

    While the company’s online sales declined by 4%, it saw a significant 9% increase in revenue from third-party seller services, such as warehousing, packaging, and delivery, in 2022. Amazon’s strong logistics and same-day delivery services give it a competitive advantage over other retailers, contributing to its revenue growth and margins. Interestingly, this presents an opportunity for Walmart and other retailers to increase prices while maintaining their strong competitive price positions.

    Kroger, on the other hand, seems to be aiming for a premium price perception, consistently raising prices almost every month. Kroger’s pricing strategy appears to be closer to Amazon’s.

    Average Selling Price for High-Volume Daily Staples

    Pricing strategies often change for different categories of products. To better understand this, we focused our analysis further on a small subset of 30+ high-volume staples across retailers. These include baked goods, popular beverages, canned food, frozen meals, dairy, cereals, detergents, and other similar items.

    Average selling price trend of 30+ high-volume daily staples across Target, Walmart, Kroger, Amazon in the grocery category from Jan ’22 to Feb ’23.

    Walmart, possibly overestimating the impact of inflation, has continued to keep its prices the lowest, potentially aiming to increase margins through volume.

    The level of price disparity across retailers is expectedly lower here, with Amazon and Kroger closely tracking Walmart’s average prices.

    Target’s pricing strategy stands out as it consistently emerges as the highest-priced retailer for daily staples, despite being one of the lower-priced retailers for a broader basket of grocery items. This suggests that Target’s underlying technology may not be as optimized to address market dynamics compared to other leading retailers. In our opinion, Target may want to strengthen its efforts to track pricing more intensely for this sub-category.

    A Data-fuelled Approach is the Need of the Hour

    In the challenging economic landscape, retailers and grocery stores are under pressure to maintain their revenues and margins. Adopting a comprehensive and dynamic pricing strategy is crucial. Understanding which product categories are experiencing price increases among competitors can help retailers make informed decisions on pricing at both the category and product level.

    Retailers should consider their balancing margin performance with consumers’ willingness to pay, rather than implementing broad price increases that may harm customer trust. Price increases can be challenging for both customers and merchants. Retailers who employ a data-driven and insight-based approach are more likely to succeed.

    Keep an eye on the DataWeave blog for analysis on pricing, discounting, stock availability, discoverability, and more, across retailers and brands from other industry segments as well.

    For immediate insights, subscribe to our interactive grocery price tracking dashboard. Better still, reach out to us to speak to a DataWeave expert today!

  • Decoding the 2022 Black Friday Record Sales: The Who, The What, and The How?

    Decoding the 2022 Black Friday Record Sales: The Who, The What, and The How?

    Contrary to popular speculation of lukewarm online sales owing to the weak economy, high inflation, and stretched wallets, Black Friday this year recorded a whopping $9 billion in e-commerce sales. Despite the lull in online shopping across many retailers in the months preceding Thanksgiving and weakened consumer sentiment, US online merchants saw a sizable boost in sales during and after Thanksgiving, albeit at a slower growth of 2.3%, as reported by Adobe Analytics.

    This article looks closely at the Black Friday data to understand which brands, retailers, and product categories were key players. Through DataWeave’s innovative Digital Shelf Analytics product, we deep dive into the availability, discount, and share-of-search data to deduce why some product categories and retailers fared better than others.

    Who: Retailers and Brands that had the Highest Presence

    Black Friday sales this year were driven by consumers grabbing the biggest and best deals to make the most of their already stretched wallets. Many shoppers opted for flexible payment schemes, and Buy Now Pay Later (BPNL) payments rose by 78% compared to the week before Thanksgiving. Surprisingly, Amazon, which was the most searched retailer during Black Friday last year, came only fourth this year, as reported by the Search Intelligence company, Captify.

    According to Captify, Walmart was the most searched retailer for Black Friday deals, followed by Target, Kohls, and Amazon in that order. Amazon, however, has reported its biggest Thanksgiving sale this year, with independent retailers selling through Amazon seeing a total sales of $1 billion. With the economic slowdown and thin wallets looming large, discount rates greatly influenced consumer spending. Mobile shopping accounted for 55% of digital sales, 8.5% more than the previous year. 

    As told by Adobe, Electronics were the significant sales driver, reporting 221% higher sales than in October this year, with smart home items and audio equipment playing an important role with 271% and 230% higher sales. Toys ( popular purchases were Fortnite, Roblox, Bluey, Funko Pop!, and Disney Encanto) and exercise equipment also registered a substantial growth of 285% and 218%, respectively. 

    Other top-selling items included gaming consoles (Xbox Series X and PlayStation 5 devices, games including FIFA 23, NBA 2k23, and Pokemon Scarlet & Violet), drones, Apple MacBooks, and Dyson products (airwrap and vacuum). Amazon’s most popular items were reported to be Apple Airpods, Nintendo Switches, Echo Dot smart speakers, and Fire TV sticks. 

    What: Top Selling Product Categories

    Electronics, closely followed by home appliances (robotic vacuum cleaners), toys, and exercise equipment, were popular product categories in demand during Black Friday this year. Several retailers, including Amazon, Walmart, Target, Kohls, BestBuy, and Home Depot, offered lucrative pre-Black Friday discounts to trigger early sales kick-off. 

    Amazon carried an early discount of 50% on its Echo smart speaker, Target offered 30% off on Dyson vacuum cleaners, Walmart offered 25-35% off on Apple ipads and watches, and Kohls offered 51% off on the iRobot Roomba. 

    Amazon’s top ten best-selling products ranged from Amazon devices like Echo Dot speakers, Fire TV sticks, and Echo Show to Apple AirPods, Nintendo Switches, New Balance sneakers, Champion Apparel, and Burt’s Bees Lotions. The popular product categories were home, fashion, toys, beauty & health, and Amazon devices. Consumers heavily supported small businesses, contributing to $1 billion in sales. Top sellers from small businesses included card and board games.

    Briefly correlating the discounts offered with the best-selling product categories, one can notice that the deals have largely influenced Black Friday sales this year. Popular categories are those that have had deep discounts, reflecting the consumer’s tendency to wait and grab the best deals.  

    How: Role of Digital Shelf Analytics – Key Performance Indicators 

    Digital Shelf Analytics
    DataWeave’s Analysis Methodology

    We have seen a summary of the Black Friday 2022 statistics – sales recorded, top-selling products, product categories, and retailers. Using DataWeave’s e-commerce analytics product, we track and study the variations in digital shelf KPIs across retailers before Thanksgiving and during Thanksgiving to understand how these influence sales. 

    Availability scores, discount rates, and share of search data are analyzed for top retailers in the US for key product categories. Data is tracked and analyzed across two time periods – before Thanksgiving (Nov 10 – Nov 21) and during Thanksgiving (Nov 21 – Nov 25).

    Methodology

    • Retailers tracked: Amazon, Best Buy, Sephora, Target, Ulta, Walmart
    • Product Categories tracked: Electronics, Home Improvement, Beauty, Furniture
    • Digital Shelf KPIs tracked: Availability, Discount rates, Share of Search
    • Location: USA
    Amazon Digital Shelf Analytics

    Amazon maintained good availability across all product categories – Beauty ranks the highest.

    Salient Insights

    • Amazon maintained good overall availability – an improvement of 3% over Prime day. 
    • Beauty had the highest availability of 95%, with none and Lotion & Brushes reporting 97% and 95% availability, respectively. Shampoo reported the lowest availability at 92%
    • Home Improvement had the least availability at 87%, with dishwashers (68%) and washers and dryers (78%) having the lowest availability. 
    • Unlike Furniture and Home Improvement, most categories maintained similar availability scores before and during Black Friday.
    • Furniture improved its availability during Black Friday by 4%, while Home Improvement reported a decrease in availability during Black Friday by 4%. 
    • Electronics, which was a major sales driver, had an availability of > 90% across all sub-categories except for Television, which had a low availability of 70%
    • Tables and chairs registered 99% availability under Furniture

    The above data indicates that Amazon ensured the high availability of utility products that consumers would buy even during a slow economy. Other retailers showed similar availability trends, with scores being similar prior to and during the event.  

    Black Friday Discounts with ecommerce analytics

    Discounts Drove Sales – Best Buy offered the Highest Discounts

    Highlights

    • Best Buy offered the highest early Black Friday discount of 30%, followed by an additional 9% discount around Black Friday. Walmart followed next with 21% early discounts and an extra 4.5% discount during the event. Amazon came next with 17% early discounts and a 5% discount during Black Friday. Discount rates seem to strongly correlate with online searches, with Walmart beating Amazon this year as the most searched retailer for Black Friday deals. 
    • Electronics was the most discounted category across Amazon, Best Buy, and Target, with an average discount of 21%. Walmart gave lower deals on electronics (12%). Electronics also had heavy early discounts of 12%, with most retailers giving an additional discount of 7-8% closer to Thanksgiving.
    • Best Buy offered early discounts of 10% and further upped their discounts by another 12% closer to Thanksgiving. Being the most discounted category, electronics was also a significant sales driver this Black Friday.
    • Amazon offered the highest discounts for Beauty products (18%), followed by Ulta at 10% and Walmart at 8%. Sephora and Target gave minimal discounts on beauty products (3%)
    • Best Buy gave the maximum discounts on Home Improvement products (16%), followed by Amazon at 14%. Walmart gave much lower discounts of 7% on Home Improvement products. 
    • Furniture is another category with 12-13% discounts at both Amazon and Walmart.
    • Best Buy’s strategy this year has been to offer heavily discounted early deals to boost their sales.
    Black friday 2022 Beauty Analytics
    Icons: Flaticons.com
    Black friday 2022 Electronics analytics
    Icons: Flaticons.com
    Home improvements black friday 2022
    Icons: Flaticons.com
    home furniture black friday 2022
    Icons: Flaticons.com

    Highlights

    • Airpods and headphones were the most discounted item under Electronics, with Amazon and Target offering a whopping 27-29% discount. This clearly resulted in heavy sales of AirPods this Thanksgiving.
    • Best Buy and Target had good discounts on all electronic items, while Amazon gave heavier discounts on AirPods, headphones, and smartwatches.
    • Walmart did not offer hefty discounts on laptops and headphones, instead focused on Smartwatches, smartphones, and television.
    • In Home improvement, Best Buy offered the biggest discounts for refrigerators, washers and dryers, and dishwashers, while Amazon focussed more on Tools.
    • Walmart did not offer many discounts in this category.
    • Amazon topped the discount charts for maximum combined discounts for makeup and hair brushes on the day of the event. 
    • All retailers offered better discounts for utility products like tables, chairs, and cots (~15-17%), while dressers and couches carried lower discounts (~6-10%).
    Discount brackets - Black Friday 2022

    Highlights

    • Different companies had different discount strategies based on price buckets.
    • Amazon gave heavier discounts in the lower price buckets (< 200$) and lower discounts for products priced higher than 200$. 
    • Best Buy offered the heaviest early discounts of >25% on products priced under 20$ but provided a few additional discounts during the event. For products priced higher than 20$, Best Buy uniformly offered substantial early discounts as well as further discounts during the event.
    • On the other hand, Target focussed on mid and high-priced items, offering heavy early discounts of 16-18% on products priced higher than 100$ and early discounts of ~7% for middle and lower-priced items. For middle-priced products (40-100$), it offered heavier discounts of 10-12% during the event. 
    • Walmart focussed on mid-priced products, offering the highest discounts (both early (~12%) and additional discounts (5%)). It offered the least discounts (~8-9%) on products priced higher than 200$.
    Share of Search - Digital Shelf Analytics - Dataweave

    Share of Search – Amazon is the only retailer with sponsored searches; Apple AirPods rule the roost.

    Salient Insights

    • Amazon is the only retailer with sponsored searches, with HP, Lenovo laptops, and Apple AirPods occupying the highest share. This correlates with AirPods being one of the most sold products.
    • HP laptops had the highest share on Amazon pre-Event but gave the spot to Lenovo during Thanksgiving.
    • Tracphone and Motorola smartphones, Insignia Televisions, and JBL headphones had a good SoS on Amazon.
    • On Best Buy, HP and Dell laptops featured most in searches, with HP ruling the roost during the event. Lenovo had a small presence.
    • Samsung smartwatches, televisions, and Apple AirPods have a big chunk of the search at Best Buy.
    • On Target, pop sockets, smartphones, Apple smartwatches, headphones, and AirPods have the most prominent presence. Apple was the most featured brand in this segment.
    share of search beauty - black friday 2022
    Note: The share of search percentage reported here is the average score across all subcategories (makeup, lotion, shampoo, hair dryers and hair brushes) of Beauty.

    Salient Insights

    • Amazon, Target, Sephora, and Ulta sold beauty products, with Amazon being the only retailer with sponsored products.
    • Ogx, bs-mall, conair, hywestger were popular brands on Amazon, with interest-based ads occupying a substantial part of the search results, especially in Lotions (~40-50%)
    • Tresemme, Scotch Brite, Revlon and Cerave were popular brands in Target
    • Dyson products (brushes and hair dryers) are featured at Ulta’s top of the search, followed by Pureology shampoos.
    • Sephora’s own collection of brushes featured prominently on their website both before and during the event, followed by Dyson and T3 brushes and hair dryers.
    share of search -Digital Shelf Analytics- home improvements
    Note: The share of search percentage reported here is the average score across all subcategories (refrigerator, washers/dryers, dishwashers, tools and coolers) of Home Improvements.

    Salient Insights

    • In Amazon, Frigidaire and RCA had the highest SoS amongst Refrigerators, and LG occupied the highest share among washers and dryers, Coleman in Coolers, Dewalt in Tools, and  Comfee in Dishwashers, both before and during Black Friday.
    • In contrast, on Best Buy, Samsung had the highest share of SoS amongst Refrigerators, package deals were most prominent in washers and dryers, LG among dishwashers, ifixit in Tools, and Corsair in Coolers.
    share of search furniture on amazon
    Note: The share of search percentage reported here is the average score across all subcategories (bed, chair, couch, dresser, and table) of Furniture.

    Salient Insights

    • Interest-based ads occupied the highest SoS on Amazon for Beds.
    • Urban shop and Amazon basics were popular in Chairs, Lifestyle in Couches, WLive in Dressers both before and during the event.
    • Vasagle was more popular during the event than Furrion in Tables, though the reverse was true prior to the event.

    Summary & Key Takeaways

    Black Friday this year was a pleasant surprise to Brands and Retailers, reporting much larger sales than predicted. After experiencing a slump in sales in the months leading up to Thanksgiving, e-commerce vendors have a reason to be optimistic about their holiday season sales forecasts.

    • A record-breaking $9.2 Billion in online sales was reported by Adobe Analytics, a growth of 2.3 % compared to the previous year.
    • Mobile shopping accounted for 55% of digital sales, a rise of 8.5% compared to last year.
    • Retailers wooed customers through deep discounts (~30%) prior to Thanksgiving and around Black Friday. Heavily discounted items like Apple AirPods were the most popular.
    • Thanks to inflation and stretched wallets, consumers were willing to spend but waited to grab the best and biggest deals. Utility products had better sales.
    • With tough competition between retailers on who offers the best discounts, Amazon slid down to the fourth position, and Walmart was the most searched retailer.

    DataWeave, through its Digital Shelf Analytics and Commerce Intelligence solutions, gleans useful insights from e-commerce data and breaks down trends during global shopping events like Prime Day, Black Friday, and Cyber Monday. If you are a brand or a retailer who would like to know more about our products and solutions, contact us at contact@dataweave.com.

  • It’s not easy being a Bakery Brand: Insights from Digital Shelf

    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. 

  • 5 Ways to Manage and Improve Stock Availability

    5 Ways to Manage and Improve Stock Availability

    Stock availability is the degree to which a brand or retailer has inventory of all their listed items to meet customer demand. Product availability becomes even more critical when they have to respond to unforeseen changes in demand and supply. To maintain the ideal stock availability levels for all items, they need robust inventory management tools to ensure real-time updates on current stock and accurate insights into upcoming demand.

    However, managing stock availability is not a clear-cut science. Retailers must balance the change in demand and keep stock availability in check. 

    Why Stock Availability Matters

    One of the challenges of running a retail business is to optimize inventory and associated costs. Maintaining stock availability in stores is critical for offline retail businesses. And when selling online, making sure products are available across different retailers and marketplaces can have a huge impact on sales and conversions. 

    1. Understocking: It’s when a brand’s product fails to meet consumer demand. If this happens often enough, customers may not return to the brand’s website or app because of the initial experience. Understocking is not a brand’s fault entirely since they might not always be able to anticipate a change in demand. However, it’s about a their ability to adapt to a quick change in the market trends through historical analysis and accurate forecasting. 
    2. Overstocking: It’s when a company orders too much inventory. Holding too much stock will lead to higher storage costs, shrinkage, and obsolescence losses. Another loss occurs if the brand can’t quickly sell the items — diminishing the value of the products. 

    We gathered data to see the impact of a short-term stockout on Amazon for one of our customers. Read more about what we uncovered & how deep the damage was, here.

    7 Ways to improve stock availability 

    1. Collect Accurate Data

    Availability across Brands and Categories

    When multiple items are moving through a supply chain, companies can easily run into inventory inaccuracies. Discrepancies between the values of your system and the actual inventory of products can lead to understocking or overstocking. The best way to avoid discrepancies in inventory is to invest in an inventory management tool that gives you real-time updates on your stock. This is applicable for offline retail businesses. 

    2. Managing eCommerce inventory

    Availability at Individual Product Level
    Availability at Individual Product level by regions

    Effective eCommerce inventory management is as important as making sure products are available in stores. Keeping track of your inventory levels and ensuring that you’re always well-stocked can avoid lost sales and keep your company running smoothly. Brands must ensure their stock is available across all the online platforms they sell. Access to real-time inventory data can help to keep a close eye on stock status across all marketplaces & retailers the product is available. Retailers also need to keep track of market trends to ensure they have the right inventory assortment to match customers’ demands. 

    3. Understand Consumer Demand

    The only way to accurately predict future demand is to rely on historical data about your customer purchase trends. What do your customers purchase during holiday seasons? What are the upcoming trends in your category? Having data-backed answers to such questions will help brands and retailers properly stock up their inventory.

    4. Adequate forecasting 

    Anticipating demand will help determine which products should be stocked during which seasons. Tracking past sales and metrics such as economic conditions, seasonality, peak buying months, and promotions will help brands predict demand. Analyzing such statistics will also help you get insights into the target market.

    Availability across regions

    5. Improve supplier relationships

    It’s important to rely on a supply chain that delivers your shipment promptly. In fact, you should foster close relationships with your suppliers to trim costs and improve stock availability. You should be able to share key details such as future demands, so suppliers can ensure timely delivery. 

    Availability Analysis
    Availability Analysis across Retailers and Categories

    Consequences of Inefficient Inventory Management

    What are the effects of overstocking?

    Tied-up cash: Money spent on overstocking is tied-up money that your company could have put to better use. You can use it to pay off debts, wages, and rent. Inventory often has a limited shelf life due to material degradation, changing consumer trends, spoilage, and obsolescence.

    Product expiration: If your brand offers time-sensitive goods or perishable items, overstocking can lead to product obsolescence and expiry. eCommerce platforms that also sell time-sensitive goods or grocery delivery apps are forced to sell products at below-margin prices to free up resources, leading to losses. 

    What are the effects of understocking?

    Poor customer experience: Poor product availability will lead to low customer satisfaction & dropping customer loyalty. 

    Missed sales: Customers could gravitate towards the competition to make their current purchase if a product is unavailable at your online store. The more freequent the stockouts, the more lost sales. 

    Conclusion

    To avoid the knock-on effects of overstocking and understocking, companies need a real-time view of their inventory, both online & offline. At DataWeave, we help companies decrease their latency period between stock replenishment and efficiently plan their supply chain. If you need help tracking your eCommerce product availability, reach out to the experts at DataWeave to know how we can help!

  • 5 Ways DataWeave Helps Brands Drive Growth With Amazon Ads

    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.

    Amazon advertisers grow market share and brand loyalty with ecommerce intelligence
    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

  • U.S. Prime Day Deals 2022: Promotion Intelligence First Look

    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 12th, 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.

  • The challenges in scaling a ‘House of Brands’

    The challenges in scaling a ‘House of Brands’

    Let’s start with the basics – what is a ‘House of Brands.’

    House of Brands is a portfolio management strategy that defines how a family of brands owned by one parent company, each independent of one another and each with its own audience, marketing, look & feel operate in harmony with each other. 

    Advantages of a House of Brands Strategy

    • The Profit Playbook: The playbook generated by the success of one brand can be leveraged to scale other brands.
    • Economies of Scale: Cost across Marketing, Supply chain, Advertising, and Operations gets shared across multiple brands helping optimize costs.
    • Market Coverage: Multiple products enable brands to cover multiple market niches and audiences while maintaining unique messaging for each niche. 
    • Future-Proofing: By hedging bets across multiple brands, it cushions the parent company against changes in customer preferences and trends. 

    … for these reasons and more, it’s no surprise that every digital-first consumer brand today aspires to leverage a portfolio strategy to become a House of Brands.

    More and more companies are slowly adopting this strategy

    • In the US the brands like P&G, Newell, and Unilever which found early success in the online space are quickly acquiring more brands and betting on the “House of Brands” strategy to scale.
    • In India, Unicorn D2C start-ups like MamaEarth, Good Glamm Group, Sugar Cosmetics, Rebel, Boat, and Lenskart to name a few, are already knee-deep into this strategy as their brand portfolio keeps growing.
    • And then there are brand roll-ups like Thrasio, Perch, HeyDay in the USA, Branded, Hero in the UK and Mensa, and GlobalBees in India which started as a House of Brands from the get-go.

    More Brands. More Data. More need for Monitoring!

    You cannot improve what you cannot measure! In order to scale these brands, the first thing needed is DATA. Data across all digital platforms – data on social media performance, customer engagement, eCommerce sales, product stock availability, pricing, reviews, and customer sentiment to name a few. This data will unlock huge value for brands and it gives them a sense of what’s working and what needs to be improved in order to increase sales & scale. 

    All brands need to track this information – but here’s a challenge unique to a House of Brands – it is the sheer volume & scale of data needed across multiple brands across multiple digital platforms! For example, a House of Brands with let’s say 10+ brands, each brand with 50 SKUs, selling on 10 eCommerce platforms is the equivalent of managing 10 retail shops with 500 SKUs! 

    Let’s look at some of the questions the analytics, marketing, and brand management teams at House Of Brands would ask. And the data they would need almost on a daily basis for every single brand. 

    • What is the search ranking for all of our SKUs across each and every single eCommerce store it is available on? How does this benchmark to the closest competitor? And are competitors using aggressive advertising strategies to outperform & overshadow our SKUs?
    • Are competitors offering discounts? Are those discounts higher than what we’re offering leading customers to purchase their products instead of ours?
    • Are my products & SKUs available and not out of stock across every single marketplace and online store?
    • Are positive ratings & reviews driving my customers to purchase my product? Or do our competitors have a better customer perception than my brand does?
    • Are Amazon and other marketplaces displaying my product content correctly so customers have enough information to make an informed purchase decision?

    … if the sheer scale across multiple brands was not a big enough challenge when this data needs to be tracked hyper-locally for each brand, it becomes anyone’s worst data nightmare!

    Need Data? Lots of it? No problem!

    To get ample data, across key KPIs brands need to invest in a Digital Shelf Solution. However, traditional Digital Shelf Solutions were built for brands that got a majority of their revenue from in-store sales and only a part of their revenue was being generated online. 

    That’s where DataWeave is different. DataWeave’s AI-Powered Digital Shelf Solutions was built with Digital Native brands in mind. 

    What KPIs do we help House of Brands track?

    • Keyword Search Ranking: Track & improve your search rankings for priority keywords. Boost product visibility and sales
    Keyword Analysis
    Keyword Analysis
    • Content: Optimize your brand’s product content to drive up conversions
    Content Quality Analysis
    Content Quality Analysis
    Availability Analysis
    Availability Analysis

    The following metrics are available to view in one single dashboard, across multiple online stores and multiple geographies making it so easy to get a consolidated view of the health of the entire portfolio of products! What’s more, we’ve created a dashboard with multiple views – brand-wise, function-wise & even hierarchy-wise. This means a brand manager can see all KPIs specific for only the brand they manage, while the marketing team can look at keyword search rankings across all brands and the leadership team can see a brand-level daily scorecard for a quick health check. And that’s not all! Our dashboard highlights insights that can be “actioned asap” to make it easier to understand what critical tweaks and changes can help improve sales. Lastly, as a House of Brands adds more Brands & SKUs to its portfolio, our solution has the full flexibility to add and delete SKUs on the go!

    If you are a House of Brand and wish to explore how some of the problems you face daily can be solved – please email: contact@dataweave.com.

    Brand Roll-Ups and House of Brands are always scouting for new brands to acquire. DataWeave has a unique product to help you track a category daily, highlighting brands that show exceptional KPIs across – Ranking, Reviews, Ratings, Bestseller ranks, Sales Estimates, etc. Read more about how VC’s & Brand Rolls up are using Data for faster Acquisitions. 

  • How short term Stockouts on Amazon can have a long-term impact on your eCommerce business

    How short term Stockouts on Amazon can have a long-term impact on your eCommerce business

    It’s common knowledge that upward of 70% of Amazon customers never scroll past the first page of search results. And that the first 3 products garner 64% of business generated. This is why it is critical for brands and businesses to make sure they rank well on Amazon. A good search ranking helps customers find your product with ease. And findability is fundamental! Having a better ranking is also a driver of the “flywheel effect” at online retailers. According to this effect, products that sell more tend to rank better in search results, and products that rank well in search results tend to sell more.

    Negative impact on Sales Ranking due to Stockouts

    If you want to stay on top of search rankings on Amazon, one of the things you need to keep an eye out for is your product stock availability. It’s not the ideal customer experience to have to click on a product listing only to find out it’s currently out of stock. This is why Amazon will not rank products at the top if they’re not available & customers cannot buy them immediately. Not only does this lead to a lost sale for a brand, to make things worse, but customers also end up buying a competitor’s product instead. 

    We were tracking product availability on Amazon for one of our customers in the CPG space. We tracked availability for products across varying ranks & looked at how going out of stock impacted their search rankings.

    Product Availability
    Product Availability

    Impact on products with a Search Rank between 1 to 10:

    • Our data showed that when products that ranked between 1-10 went out of stock for just 1 day, their rank fell by over 28%. After 3+ days of being out of stock, their rank fell by 83% and after being out of stock for over 10 days their rank fell by close to 150%! 
    • This clearly illustrates that when the longer top-ranking products are out of stock, the greater the impact on search rank and product discoverability.

    Impact on products with a Search Rank between 10 to 20:

    • The impact of being out of stock on products that ranked lower, i.e. between 10 to 20 was much lower. After being stocked out for 1 day, the ranking fell 17% compared to the 28% dip for products in the top 10 ranks. 
    • Incremental change was minimal, too. After 3+ days of being OOS, search rank dropped by 22% and by 53% after 10+ days v/s close to 150% for higher-ranked products.

    Impact on products with a Search Rank between 20 to 30:

    • These products had the least impact but there was an impact nonetheless. 
    • After being OOS for 5+ days, search ranking fell by close to 8% and to close to 30% after 10 days of product unavailability.

    Avoiding Stockouts with better Inventory Management

    Customers can buy your product only when it is available. Failing to provide products at the right time will lead to losing sales to your competitors. If your products become unavailable, you’ll notice a drop in customers’ overall satisfaction and shopping experience too in addition to a lost sales rank on Amazon. In fact, your reputation and sales will take a beating long term in case of consistent product unavailability. Moreover, once the product is back in stock, the climb back to the top ranking is a slow and not-so-easy process. This is why brands need to maximize conversions by tracking product availability on a constant basis.

    Conclusion

    Stockout is a critical issue that has a significant impact on sales, brand image, and customer loyalty. Items ranking higher on eCommerce platforms take the biggest hit when they get out of stock. Brands can recapture their search share after restocking their inventory. 

    Want to maximize sales by reducing latency periods between stock replenishment? Reach out to our Digital Shelf Experts to know how! 

  • Feminine Hygiene Products Face Supply Chain Shortage and Price Increases

    Feminine Hygiene Products Face Supply Chain Shortage and Price Increases

    Last week the DataWeave analytics team identified the states most impacted by the baby formula shortage, only to see feminine hygiene products following similar trends with price increases occurring alongside a supply chain shortage. In this analysis, the team has identified over four hundred feminine hygiene products made available across eighteen retailer and delivery intermediary websites from August 2021 through June 2022, to see how product availability and price changes correlated.

    Within the feminine care products analyzed, both tampons and sanitary pads show to have under 58% availability as of June 2022. For sanitary pads, June 2022 shows the lowest level of product availability at around 58%, which has steadily declined each month from August 2021 where product availability started around 69%. Tampons however, reached their lowest level of availability in April 2022 at 45%, and appear to be slowly recovering each month, now reaching around 53% availability in June 2022.

    Product Availability for Feminine Care Products - June 2022
    Product Availability for Feminine Care Products – June 2022

    The Evolution of the Tampon Shortage by Retailer

    Looking at tampons in more detail and at a retail level, we can see how much and how often product availability fluctuated from August 2021 through June 2022 across Kroger, Meijer, Baker’s Plus, Target and Walmart websites. Baker’s Plus, for example, shows the lowest product availability, maintaining an average of around 39% from October 2021 through June 2022. Kroger appears to be a notable exception only facing stock availability issues in March and April 2022, achieving nearly 78% availability in June 2022, which is 16% greater than the other retailers analyzed.

    Product Availability for Tampons by Retailer - June 2022
    Product Availability for Tampons by Retailer – June 2022

    Feminine Care Product Price Changes Over Time

    When looking at Pricing Intelligence insights and average price changes occurring alongside declining product availability for tampons and sanitary pads combined, we see a very different story. Tampons have seen steep price hikes from December 2021 onward, increasing the most in June 2022, up 6% compared to prices seen in November 2021. This steep price increase could be attributed to consistently low availability for tampons that has been seen in recent months.

    To the contrary, sanitary pads have seen a price reduction of around 1.25% as of June 2022 compared to average prices seen in November 2021. While prices are lower in June 2022 for sanitary pads, the percentage by which they are lower is shrinking in recent months, potentially for the same reasons related to decreasing product availability.

    Price Change for Feminine Care Products - June 2022
    Price Change for Feminine Care Products – June 2022

    When looking at month-over-month average price changes for tampons only, we can clearly identify which months had the biggest price changes, noting price hikes that lead to the currently high prices seen in June 2022. In March and May 2022, over 10% of tampons offered had seen a price increase, and around 8% had seen significant price increases of more than 10%.

    Month-Over-Month Price Changes for Tampons - June 2022
    Month-Over-Month Price Changes for Tampons – June 2022

    eCommerce Intelligence Provides Early Visibility to Evolving Trends

    Price increases don’t seem to be stopping anytime soon given there was a 3.6% price hike seen on average in May 2022 versus April, with June seeing yet another .6% increase from May’s prices. That being said, as the market evolves and feminine hygiene products stabilize, our team will continue to provide visibility to critical pricing and product availability changes to enable our clients to stay ahead of the curve.

    From a baby formula shortage to a tampon shortage, what category will be next to follow the supply chain shortage trend? Follow our blog for access to the latest insights and be sure to reach out to our team if there is any particular category you are interested in tracking next, or for access to more information on our Commerce Intelligence and Digital Shelf solutions.

  • 7 Key Metrics that QSRs want (but may not get) from Food Delivery Apps

    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
    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
    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
    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
    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
    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. 

  • Baby Formula Shortage Continues Alongside National Price Increases – June 2022

    Baby Formula Shortage Continues Alongside National Price Increases – June 2022

    As the baby formula shortage continues, retailers and brands are working quickly to meet evolving consumer demand, considering supply chain driven headwinds, a baby formula recall, and inflationary-driven impacts. The DataWeave analytics team has actively tracked marketplace changes, alongside reports from the FDA, for the baby formula category at a state-level, and has shared the latest snapshot of product availability through June 7th, 2022, below.

    Average Baby Formula Product Availability by State - June 2022
    Average Baby Formula Product Availability by State – June 2022

    While the U.S. has reached an average of 84% baby formula availability the first week of June 2022, given recent news headlines related to the baby formula shortage, and tracking out of stock encounters by state, we see a continued decline in availability throughout the Midwest versus product availability levels seen in May 2022.

    Wisconsin, Michigan, Illinois, Indiana, Ohio, and Kentucky all show average availability for baby formula to be less than 50%, with Wisconsin being impacted the most at less than 18% average availability. While Texas shows an average availability improvement of 3.5% from the first two weeks of May 2022 to the first week of June 2022 as noted in the below chart, availability is also very low overall at less than 60%.

    Average Change in Baby Formula Product Availability by State: May-June 2022
    Average Change in Baby Formula Product Availability by State – May 2022 to June 2022

    Outside of the Midwest and Texas, the other states for consumers to be cautious in are California, Virginia, and South Carolina as their month-over-month average change in availability also declined 4%, 12.6% and 8.2% respectively. Below is a snapshot of where the baby formula availability average started as of May 1st through the 15th, 2022.

    Average Baby Formula Product Availability by State - May 2022
    Average Baby Formula Product Availability by State – May 2022

    Baby Formula Product Availability Changes – March 2021 through May 2022

    At an aggregated level overall, the availability for baby formula was relatively stable across all retailers considered within our analysis from March 2021 through September 2021, but has been on a steady decline ever since, starting at 81.7% availability in September and ending at 53.8% availability in May 2022 as noted in the below chart.

    Monthly Average Availability for Baby Formula Across Major Retailer Websites
    Monthly Average Availability for Baby Formula Across Major Retailer Websites

    Looking at baby formula availability at a retail level, we saw yet again not all availability challenges were alike, by month or retailer. Costco.com lead the other retailers within our analysis for greatest average availability from March 2021 through May 2022, but had one of the lowest availability percentages at 62.7% in May 2021, and dropped to the lowest availability of the group in May 2022 at 37.5%.

    Average Availability for Baby Formula Across Major Retailer Websites
    Average Availability for Baby Formula Across Major Retailer Websites

    Baby Formula Prices Increase as Availability Changes

    While unnecessary price gouging is prohibited, price increases are still happening at a slow and steady rate across all the accounts included within our Pricing Intelligence analysis given external market factors outside of baby formula recall related stockout scenarios.

    Kroger.com experienced the greatest average price increases overall, with the peak being in May 2022 at a 19% increase, 8% higher than other retailers on average, versus prices seen in March 2021 for the same baby formula products. The most significant price hike occurred on Kroger.com from December 2021 to January 2022. Other retailers like H-E-B, Target and Wegman’s have had minimal price changes from March 2021 through May 2022. 

    Average Price Inflation for Baby Formula, Indexed to March 2021
    Average Price Inflation for Baby Formula, Indexed to March 2021

    Address the Baby Formula Shortage With eCommerce Intelligence

    As the market continues to evolve and baby formula supply works its way to catching back up to demand, our team will continue providing critical pricing, merchandising, and competitive insights at scale, to enable retailers and brands to develop data-driven growth strategies that directly influence their eCommerce performance, accelerate revenue growth and drive profitability.

    Be sure to reach out to our Retail Analytics experts for access to more details regarding the above analysis, or for more information on our Commerce Intelligence and Digital Shelf solutions, and let us know what other category insights you’d be interested in seeing this year.