The DataWeave Blog

Category: Pricing

  • 6 Smart Pricing Strategies for eCommerce Success

    6 Smart Pricing Strategies for eCommerce Success

    Over the last decade, the proliferation of e-commerce and the consequent surge in competitiveness among retailers has brought focus to one of the most critical drivers of success in online retail: pricing. According to McKinsey, an average 1% increase in price can translate into an 8.7% increase in operating profits (with the assumption that there’s no loss of volume). Yet, the company estimates that up to 30% of pricing decisions fail to provide the best price – every year. That’s a potential impact of millions in lost revenue for most modern-day retailers, a fact only made worse by the irony that in today’s times of automation and big data, there’s no shortage of intelligence to facilitate the best decision-making.

    What you need is the ability to gather and rationalize all the data out there – of competitor prices, price perceptions, market dynamics, buyer behavior, etc. – in good time to price your products just right for maximum margin and revenue. The best part? Effective product pricing contributes significantly toward fostering a great customer experience, too.

    Once you have your intel in place, there are plenty of eCommerce pricing strategies to choose from – it’s only a matter of identifying the metrics that matter the most to your business goals. That said, there are several models that have gained widespread popularity and acceptance over the years, like the following six:

    1) Introductory pricing

    This is a common marketing strategy used in the e-commerce space, where you draw consumer focus to a newly launched product or service, or the fact that you’re a new entrant in a market. There are two ways to do this – one is to start with steep discounts (particularly during sale events, and often in partnership with the consumer brand) with the aim of winning over more market share. At the other end is the strategy of setting relatively high initial prices. This works best for “exclusive offer” or “limited edition” opportunities; for instance, the opportunity to be the first to own the latest iPhone model.

    2) Cost-linked pricing

    In this method, you calculate how much it costs to sell a product and add a pre-determined margin to the final cost. In the world of online retail, product cost amounts to a lot more than the mere sum of manufacturing costs. For instance, it includes the procurement, labor, software, sales and marketing, shipping, and overhead costs that contribute to the total cost of housing it as long as it’s unsold. Therefore, all these costs need to be factored when determining the final product price. While the advantages of this model are its simplicity and the promise of guaranteed returns for each product sold, the flip side is that it doesn’t factor in the competitive landscape. The trick, therefore, lies in finding the balance between higher margin and sell-through rates, particularly given the aggressively competitive nature of online retail.

    3) Competitive pricing

    Today’s digitally savvy customers are forever comparing prices across several websites in the quest for the lowest prices. In fact, price is among the most critical factors that influences purchase decisions across products as well as categories. The competitive eCommerce pricing strategy, therefore, determines product price based on how the same products are priced by various competitors. While this model allows you to modify prices as frequently as necessary to drive efficient pricing and maximize revenue and margin, the complexity lies in ensuring consistent access to competitor prices, particularly in today’s highly dynamic e-commerce environment. DataWeave’s Pricing Intelligence platform helps eCommerce businesses overcome this challenge by helping them identify price improvement opportunities based on timely competitive intelligence at a massive scale.

    4) Dynamic pricing

    This model takes into account competitor prices, demand, and inventory levels, which are set up as triggers for automated pricing rules. While this results in sustained competitiveness, it requires a price optimization model that determines the optimal price in real-time response to fluctuations in demand and competitive prices – all the time ensuring alignment with your business goals. In other words, this model allows you to ensure consistently competitive yet optimized prices, thus acquiring and retaining a competitive edge in the market.

    5) Price perception management

    The company most famous for following this strategy is Amazon. The retail giant frequently identifies its most popular products and offers its largest discounts on them, often undercutting competitors. In other words, in this model, you “invest” in customer acquisition through excessively aggressive discounts on a select group of products – following which, you can cross-sell or up-sell other higher-priced products. Thus, you boost your perceived value to customers. Another way to drive a positive perception is to display discounted products at higher ranks on featured listings. For instance, in a recent study that we conducted, we found that 9 out of 10 leading US retailers’ top 50 ranked products (in each category) were significantly cheaper than the rest of their products.

    6) Bundle pricing

    The principle for this model is simple. You sell a number of the same products (or a range of complementary ones) for a combined, economical price. This is different from customers adding products individually to their cart as it works on the consumer psyche, which is more likely to favor a purchase that offers considerable perceived value. Thus, not only are you offering enhanced value to your customers (and in turn improving overall customer experience), you’re also actually increasing sales. Bundle pricing works best for products that are likely to involve repeat purchases (such as batteries, cereal boxes, or socks), and also for those that may need accessories (for instance, a food processor with various attachments). However, for bundle pricing to be effective, it’s also important to understand how your competitors are bundling their products.

    Granted, it isn’t easy to identify the perfect pricing strategy for you. As customers increasingly engage with you at every stage of their decision-making process and market dynamics become exceedingly complex, pricing as a function has to keep pace. As a retailer, your objective is to unearth the actionable insights hidden in your big data and leverage the resulting opportunities to drive the maximum possible revenue and margin – without getting lost in the flood.

  • Thanksgiving Weekend Sale: How Top US Consumer Brands Fared

    Thanksgiving Weekend Sale: How Top US Consumer Brands Fared

    Online retailers in the US have enjoyed an impressive turnover during 2018’s Thanksgiving weekend sale. Over the last few weeks, DataWeave has published deep-dive reports on the performance of top US retailers in fashion and consumer electronics during this period, detailing their discounting and product strategies across several product types.

    In continuation of our series of articles on the Thanksgiving weekend sale, this article focuses specifically on the top brands across all retailers analyzed.

    Read Also:

    A Study of Fashion Retail Pricing Across Thanksgiving, Black Friday and Cyber Monday 2018

    How Consumer Electronics Was Priced Across Thanksgiving, Black Friday and Cyber Monday 2018

    While a lot of attention from the media and analysts during these sale events is often focused on the strategies and performance of retailers, the festive sale period is equally vital for consumer brands. Both established brands and new entrants across all categories compete aggressively to gain market share during a period that accounts for a substantial portion of annual sales turnover.

    For brands, the two primary drivers of conversion specific to sale events are competitive pricing and prominent brand visibility. At DataWeave, we went about analyzing which brands came out on top across retailers and categories during the Thanksgiving weekend sale, based on these two factors.

    Our Methodology

    We tracked the pricing of 6 leading fashion retailers and 5 major consumer electronics retailers to study the pricing strategies of brands during the sale events. Our analysis focused on additional discounts offered during the sale period to evaluate the true value of the sale event to customers. To calculate this effect, we compared the pricing of products on Thanksgiving Day, Black Friday and Cyber Monday to the pricing of products prior to the sale commencing. We considered the Top 500 ranked products on 11 product types across Men’s and Women’s Fashion and 11 popular consumer electronics products for this analysis.

    Consumer Electronics Brands

    In digital cameras, Canon’s traditional role as a discount leader was on show, featuring on both Best Buy (14%) and Target (20%), the two most aggressive price discounters in consumer electronics. Nikon took Canon’s place in DSLR cameras, for Best Buy (13%), New Egg (10%) and Walmart (4%), albeit at a comparatively low additional discount point.

    Razor benefited from Amazon’s strategy of promoting its lower-priced products, promoting a modest 9% additional discount but across its entire range of laptop products. The competitiveness of this category between brands is shown by Samsung’s decision to give an additional 53% discount across 36% of its product line at Best Buy.

    The strategic approach brands take with different retailers was illustrated by HP’s 30% additional discount on 31% of its products at Target while over at Walmart, HP had a dire a 4% additional discount on a mere 13% of its products. A similar strategy was employed by LG with its televisions. On Amazon, its TVs had a 10% additional discount applied to 46% of its products, while at New Egg that translated to 25% and 8% respectively.

    Among the fast emerging wearables category, under-pressure Chinese firm Huawei dropped an aggressive 46% additional discount on 100% of its product range at Best Buy. By comparison, the next highest in this category was Marc Jacobs at Target with 33% and 40% respectively.

    Most Visible Brands Across Product Types

    In our analysis, brand visibility is represented in terms of both the number of products for each brand, as well as the average rank of all its products (“lower” the rank value, higher is the visibility).

    The influence an online retailer exerted on a brand’s average ranking is illustrated by Canon’s digital cameras. On Amazon, its 296 products had an average ranking of 272, while on Best Buy it was 30 and 48, 73 and 212 on New Egg and 20 and 69 on Walmart. For all these retailers, Canon was the most visible brand in digital cameras, despite such variation.

    It was a similar story on laptops, with HP’s Amazon ranking of 298 based on 166 products, contrasting with a Target ranking of 14 on 18 products and Walmart ranking of 21 on 20 products.

    These patterns appear to play out in TVs too, with Samsung’s Amazon average ranking of 292 based on 150 products contrasting with Walmart average ranking of 10 across 7 products.

    Unsurprisingly, across our analysis of additional discounts and brand visibility, the top brands are well known and recognizable brands in each product type, with very few new entrants breaking out from the pack. This story, though, takes a turn in the following analysis on visibility growth.

    Brands With Highest Growth in Visibility

    To perform this analysis, we developed an index for the visibility of a brand based on the number of products available per brand as well as the average rank of those products. We then compared this score for each brand between before and during the sale period, and subsequently calculated the percentage growth.

    The list of brands that showed the highest growth in visibility for each product type is an interesting mix of well established and newer brands. The usual suspects included the likes of Philips, Fitbit, Sony, Kodak, Nikon, etc. The presence of brands like Apple, Google, and Bose is surprising as they would be expected to command strong visibility even before the sale. Some of the newer brands include Rha, Westinghouse, Garmin, Lanruo, and more.

    Some brands showed a dramatic increase in visibility. Examples include Bose on Walmart (698%), HTC on New Egg (657%), Galanz on Amazon (657%), and Jlab on Target (608%).

    Kodak’s digital cameras (2% growth) on Best Buy took the honors for the lowest increase in visibility, just ahead of HP laptops (3%) on Walmart, Nostalgia Electrics refrigerators (4%) and Belkin Tablets (7%) both on sale at Target. These numbers indicate a relatively static assortment for the respective retailers and product types.

    Fashion Brands

    Moving over to the Fashion category, we observed significantly more aggressive discounting activity, as expected. Parent’s Choice T-shirts recorded the highest additional discount (80%) applied to the widest product range (Walmart 91%). Similarly, Fruit of the Loom saw Amazon promote a 78% additional discount applied across 20% of its products.

    In shoes, Macy’s promoted a 60% additional discount on 50% of Kenneth Cole’s product range. In watches, Amazon featured a 57% additional discount on 50% of Kate Spade New Year branded products. Meanwhile, in sunglasses, Ray Ban in Bloomingdale’s enjoyed a 20% additional discount spread across a whopping 95% of its products, compared to just a 14% additional discount applied to a mere 10% of Ray Ban products in New Egg.

    In stark contrast to what was observed in Electronics, the Fashion category saw fewer large brands dominate the discounting landscape across categories. This isn’t surprising given how the Fashion category tends to be cluttered with a plethora of brands, while the Electronics category usually consists of a leaner set of popular brands in each product type.

    Most Visible Brands Across Product Types

    In casual shoes, Nike’s ranking of 264 on 93 and Converse’s ranking of 239 on 89 products contrasted with Vision Street Wear’s ranking of 8 on 9 products and Time And Tru’s 15 ranking on 14 products.

    Another point of contrast was Micheal Kors (Handbags) cross-retailer platform performance - its average ranking of 184 on 102 products on Macy’s while its average ranking on New Egg was 20 across 12 products. Still, it appears the brand discounted heavily in New Egg to compensate for its relatively low visibility on the website.

    Ray Ban recorded a category high ranking of 209 based on 321 products on Macy’s. By comparison, Ray Ban had a ranking of 17 on 34 products at New Egg. Over at Amazon, Ray Ban managed a creditable 189 ranking on 124 products and a 163 ranking on 120 products at Bloomingdale’s.

    Brands With Highest Growth in Visibility

    Compared to the Electronics category, Fashion consists of certain brands that skyrocketed in their visibility. Examples include Next Level T-shirts (Amazon 2,000%), Michael Kors Watches (Walmart 1,424%), Dakota Watches (Target 751%) and Adidas sports shoes (Amazon 516%).

    Bloomingdale’s delivered amazing visibility growth for key brands, with Burberry (527%), Reiss (500%), The Kooples (%00%), Tory Burch (500%), J Brand (475%), and Adidas (300%) all enjoying strong visibility growth.

    At the other end of the visibility growth spectrum, the growth rates of Lucky shirts (New Egg, 11%), Micheal Kors (New Egg, 20%) Dickies jeans (Target, 22%), Tasso Elba shirts (Macy’s, 23%), and Puma Casual Shoes (Target, 25%) indicate a relatively more static assortment in their respective product types.

    Depth Of Product Range And Discounting Strategy Matters

    Across the three sales, DataWeave identified several different additional discounting and product assortment strategies by both the retailers and the brands.

    While retailers are increasingly discounting the lower priced products to shape price perceptions among shoppers (take a bow Amazon), what are the implications for brands? Firstly, a thin product range is going to make achieving visibility more challenging. Secondly, brand strategies across online retailing platforms will need to be more clearly defined and executed. Thirdly, those brands that treated Thanksgiving, Black Friday and Cyber Monday as discrete events are going to have to rethink their approach as these lines increasingly blur with time.

    If you’re interested to learn more about how DataWeave aggregates and analyzes data from online sources as massive scale, as well as how we provide competitive intelligence to retailers and consumer brands, visit our website!

  • Consumer Electronics Prices During the Holidays

    Consumer Electronics Prices During the Holidays

    Consumer electronics has always been one of the most popular product categories for consumers during the Thanksgiving weekend sale each year.

    Shoppers often hold off on making expensive purchases in electronics in anticipation of great discounts during these sale events. While Cyber Monday is traditionally the key day for offers in electronics, recent trends, triggered by the growth of eCommerce, lean toward offering attractive prices across the entire sale weekend.

    Studies indicate that in 2018, the average value of an online transaction hit $97. This compares with $91 in 2017 and $87 in 2016, continuing the trend of a steadily increasing transaction value over the past two years. This year, the scene was set for a massive Cyber Monday as Black Friday purchases of electronics reached $6.22 billion, up 23.6 percent from last year according to Adobe Analytics.

    At DataWeave, we recently analyzed and published a blog post on the Thanksgiving weekend sale for the Fashion vertical.

    (Read here: A Study of Fashion Retail Pricing Across Thanksgiving, Black Friday and Cyber Monday 2018)

    As part of the same project, we scrutinized the consumer electronics vertical just as keenly across top electronics retailers in the US by monitoring prices across the weekend.

    Our Methodology

    We tracked the pricing of the 5 leading retailers selling consumer electronics to assess their pricing and product strategies during the sale events. Our analysis focused on additional discounts offered during the sale to evaluate the true value the sale event represented to customers. To calculate this effect, we compared the pricing of products on Thanksgiving Day, Black Friday and Cyber Monday to the pricing of products prior to the sale commencing. We considered the Top 500 ranked products on 11 popular product types in carrying out this analysis.

    Key Findings

    In contrast to the Fashion category, the consistency in the discounting strategy for all retailers across the three sale days in the Consumer Electronics category was striking. The only exception was Walmart, which opted somewhat curiously to roll back its discounts on Cyber Monday. All other retailers held similar additional discounts levels on a fairly similar set of products through the sale weekend.

    Target and Best Buy led the electronics discount charge at 22% and 21% for 18% and 17% of their assortment, respectively.

    While Amazon discounted the highest number of products at 29% of its range, it continued its recent strategy of not discounting steeply. In fact, Amazon was among the lowest in terms of additional discounts. The other end of the spectrum, Walmart provided a 28% additional discount on the first two sale days, offered only on a modest range of products (4% and 1%).

    Headphones and USB Drives proved popular lead product types for discounting by all retailers. Other product types making the cut included Refrigerators (Target), Laptops (Walmart), and Wearable Technology (Newegg).

    Amazon’s discounting strategy appears to be informed significantly by product visibility. The highest ranked products were far more aggressively discounted, and the discounts reduced progressively as we move to less visible products. This supports previous evidence illuminating Amazon’s strategy to develop a low price perception. We saw a similar trend emerging from Best Buy and Newegg as well.

    This discounting approach is in stark contrast to the behavior we witnessed in our earlier analysis of the Fashion category, where we found little correlation between visibility and discounts. However, given the higher price points and greater price elasticity in the Electronics category, we were not surprised to see this level of strategic clarity. Interestingly, our analysis of Target’s discounting behavior showed an opposite trend as Target opted to load up discounts on its less visible products.

    Walmart was excluded from this part of our study due to the very low number of common products before and during the sale that we could analyze.

    Another stable trend which emerged during our analysis of the sale weekend is the consistency with which lower priced products are offered at higher additional discounts relative to the more premium, higher priced products in the retailers’ product type. This trend largely held across retailers. Customer perceptions of low prices can be built by heavily discounting products at the lower end of the premium spectrum, while retailers can harvest their critical margin on their higher value goods.

    Diving Deeper Into Amazon

    Amazon announced a few days ago that it had its biggest shopping day in the company’s history on Cyber Monday. In its announcement, the company also stated the five shopping days starting with Thanksgiving and continuing through to Cyber Monday shattered records as US consumers bought millions of more products over the five-day sales compared with the same sales period last year.

    When the product popularity was evaluated and compared with additional discounts, we see higher discounts for better-reviewed products on Thanksgiving and Black Friday. Cyber Monday was an exception where discounts were distributed more smoothly across the three popularity bands.

    As with what we witnessed in the Fashion category, we detected higher additional discounts in Amazon’s Electronics private label brands (17%) relative to the average discount for other brands (7%).

    Profitability is back in the spotlight

    Electronics continued to be a key focus eCommerce retailers during their pivotal sales events in 2018. We are seeing signs of a shift to eCommerce and an accelerating emergence of a “Black November” and a “Cyber Post-Thanksgiving Weekend” impacting on sales results for the beginning of the holiday season.

    This year, there was a more concerted and strategic approach by retailers to maximize margin in the high-value end of the Electronics Category while still discounting the more popular and lower priced products. As expected, both Target and Best Buy featured prominently with their heavy discounting, while both Amazon and Newegg appeared to be executing a more nuanced discounting strategy. This rather reserved approach to the sale and careful focus on profitability is backed up by recent reports of Amazon’s shift in approach to housing low margin products.

    As was the case with the Fashion category, we saw the importance of Cyber Monday for Electronics sales being eroded and spread across the entire weekend, on the backdrop of a larger trend of attractive offers encompassing much of November and December.

    If you would like to know more about how DataWeave aggregates data from online sources to deliver actionable insights to retailers and consumer brands, check out our website!

  • Decoding Alibaba’s Singles Day Sales

    Decoding Alibaba’s Singles Day Sales

    An average of $11.7 million per second was the rate at which Alibaba clocked $1 billion in sales during the first 85 seconds of Singles’ Day. As Alibaba’s annual sale event continues to grow in scale, referring to it as a global retail phenomenon is an understatement. Alibaba closed the day having shipped 1.04 billion express packages based on sales of merchandize worth 213.5 billion yuan ($30.67 billion).

    This performance shredded any lingering concerns analysts may have harbored about the prospects of this year’s sale, given the international backdrop of the ongoing trade skirmish between the US and China.

    Along with attractive discounts across a range of product categories, Singles’ Day also promised an integrated experience fusing entertainment, digital and shopping, in stark contrast to other large global sale events like Black Friday, which focus predominantly on discounts.

    At DataWeave, we set out to investigate if all the hype resulted in actual price benefits to the shoppers and how the various categories and brands performed in terms of sales during the event. To do this, we leveraged our proprietary data aggregation and analysis platform to capture a range of diverse data points on Tmall Global, covering unit sales (reported by the website) and pricing associated with Tmall Global’s major categories over the Singles’ Day period.

    Our Methodology

    We captured 5 separate snapshots of data from Tmall.com during the period between October 25 and November 14, encompassing over 15,000 unique products each time, across 15 product categories.

    To calculate the average discount rate, we considered the percentage difference between the maximum retail price and the available price of each product. We also looked at the additional discount rate, for which we compared the available price during Singles’ Day to the available price from before the sale. This metric reflects the truest value to the shopper during Singles’ Day in terms of price.

    Our AI-powered technology platform is also capable of capturing prices embedded in an image. For example, the offer price of ¥4198 was extracted accurately from the accompanying image by our algorithms and attributed as the available price while ¥100 from the same image was ignored.

    This technology was employed across hundreds of products using DataWeave’s proprietary Computer Vision technology.

    Domestic Appliances and Digital/Computer Categories Powered Turnover

    The Domestic Appliances and Digital/Computer categories dominated the Singles Day Sale in terms of absolute sales turnover. This isn’t surprising, since the average order value for these categories are typically much higher compared to the other categories analyzed.

    What clearly stands out in the above infographic is that the two largest categories in terms of sales turnover had average additional discounts of only 2 per cent and 0 per cent — a rather surprising insight. In general, with the exceptions of Women’s skincare, Men’s skincare, and Women’s bags (11 per cent, 10 per cent, and 9 per cent respectively), all other categories saw low additional discounts during Singles’ Day.

    However, the absolute discounts across the board were consistently high, with only Luggage (6 per cent), Digital/Computer (9 per cent) and Women’s wear (12 per cent) staying significantly below the 20 per cent mark. In fact, eight categories enjoyed absolute discounts greater than 30 per cent.

    Among common categories between Men and Women, the Men clocked more sales in Men’s wear, shoes, and bags. Only skincare proved to be an exception, where Women’s skincare generated twice the turnover of their Men’s equivalent.

    The Infants category was another intriguing sector to emerge during the sale. Both Diapers (38 per cent) and Infant’s Formula (25 per cent) were substantially discounted, despite only receiving low additional discounts of 2 per cent and 0 per cent respectively – indicating aggressive pricing strategies in this category even during non-sale time periods.

    The biggest takeaway from our analysis is the lack of any correlation between sales turnover and additional discounts, or even the absolute discounts.

    International Brands Make Gains

    International brands continue to penetrate the Chinese market showing up amongst the Top 5 brands of 13 of the 16 categories on sale.

    In the Diaper category, Pampers delivered nearly twice the sales turnover of its next biggest competitor. As expected, Apple and Huawei battled it out for honors in the Digital/Computer category although Xiaomi enjoyed pleasing results, nearly matching Huawei’s sales to go with its sales leadership of the Domestic Appliances category. Local brands, though, swept the Domestic Appliances, Furniture and Women’s Wear categories.

    The challenge posed by Chinese brands was illustrated by Nike’s spot in the second place in the highly competitive Men’s Shoes category after Anta.

    International brands topped only five of the 16 categories and Top 3 positions in ten categories. Still, there’s a growing presence of international brands in China’s eCommerce.

    Gillette won handsomely over its competition in the Personal Care category while Skechers enjoyed a similar result in Women’s Shoes, racking up nearly twice the retail sales of its nearest competitor. Another category dominated by international brands was the Women’s Cosmetics category where international brands accounted for 4 of the Top 5 brands.

    Similarly, Samsonite’s acquisition of American Tourister gave it two top 5 brands in the Luggage category. Other global brands to make the cut during the Singles’ Day sale included L’Oréal, Canada’s Hershel, Playboy, South Korea’s Innisfree and Japan’s Uniqlo.

    It’s Not All About Price On Singles’ Day

    The dramatic rise in shopping during Singles’ Day is not driven solely by price reductions. Alibaba’s commitment to its “New Retail” strategic model has led the Chinese giant to channel its impressive resources to focus on bringing together the online elements of its business with the more traditional offline aspects of its retail distribution. This is combined with entertainment to create a larger story based around the shopper’s overall “experience” rather than just driving “attractive prices” as a short-term retail hook.

    Alibaba is betting big on erasing the line between online and offline and its futuristic vision of structuring retail around the way people actually want to shop. Based on the consistently impressive results of Singles’ Day year after year, “New Retail” has a promising future.

    If you wish to know more about how DataWeave aggregates data from online sources to provide actionable insights to retailers and consumer brands, check out our website!

  • Prime Day Sale: Unraveling the Highs and Lows of Amazon’s Flagship Event

    Prime Day Sale: Unraveling the Highs and Lows of Amazon’s Flagship Event

    Another year, another round of media frenzy, and another set of records broken.

    In only three years, Amazon’s Prime Day has evolved into one of the landmark sale events of the shopper’s calendar. Reports indicate that this year’s sale made a major splash, raking in over $4.2 billion in sales — a 33% increase compared to last year. Also, the retail behemoth shipped over 100 million products during the 36-hour sale. Amazon stated that they “welcomed more new Prime members on July 16 than on any other previous day in Prime history.”

    The much talked about website outage added some spice and drama to the proceedings during the first hour. However, this was fixed quickly.

    This year is also the first Prime Day with Whole Foods, Amazon’s most expensive acquisition, giving US shoppers unprecedented incentives to shop at the physical stores of the grocery retailer.

    However, Prime Day is not just about the US, but a truly global event. In India, as part of its promotions for Prime Day, Amazon leveraged VR to have people experience the products in their true form factor at select malls.

    At DataWeave, our proprietary data aggregation and analysis platform enabled us to keep an eye on the pricing and discounts of products during the sale. We tracked Amazon.com, Amazon.co.uk, and Amazon.in before (14th July) and during the sale (16th July) and monitored several product types in Electronics, Men’s Fashion, Women’s Fashion and Furniture categories. We captured information on the price, brand, rank on the category page, whether Prime was offered or not, etc. and analyzed the top 200 ranks in each product type listing page. To best indicate the additional value to shoppers during the sale, we focused our analysis only on additional discounts on products between the 14th and 16th of July.

    Scrutinizing the data yielded some rather interesting insights:

    Amazon UK was more aggressive with its discounts than the US and India across most categories, with Furniture being the only exception (highest discounts in the US).

    In the US, Women’s Fashion observed the steepest discounts (12%), though there were discounts available on a larger number of Men’s Fashion products (5% additional discount on 20% of products).

    While disparity between discounts on Prime products vs non-Prime was quite evident, it was surprisingly low for many categories. In fact, the Electronics category in the UK and the Furniture category in India witnessed sharper discounts for non-Prime products than Prime.

    Top categories by additional discount include Women’s Handbags, Sports Shoes, and Pendrives in the US, Sunglasses and Tablets in the UK, and Women’s Tops, Men’s Jeans, Women’s Sunglasses, and Refrigerators in India. Top brands include Nike, Amazon Essentials, Sandisk, and 1home in the US, Oakley, Toshiba, Belledorm, and rfiver in the UK, and Adidas, Sony, UCB, and Red Tape in India.

    As indicated in the following infographic, some of the most discoverable brands during the sale include Canon, Apple, Nike and Casio in the US, Sandisk, Amazon, Levi’s, and Ray Ban in the UK, and Nikon, UCB, Whirlpool, and HP in India. Discoverability here is measured as a combination of the number of the brand’s products in the top 100 ranks and the average rank of all products of the brand. Also in the infographic, is a set of products with high additional discounts during the sale.

     

    Amazon’s competitors though aren’t ones that simply roll with the punches.

    Flipkart, Amazon’s largest competitor in India (recently acquired by Walmart), announced its own Big Shopping Days sale between July 16 and July 19. On Prime Day, the company joined in with some attractive offers:

    • 8%, 10%, and 7% additional discounts on 11%, 29%, and 16% of Electronics, Men’s Fashion, and Women’s Fashion categories, respectively.
    • 35% off on Perfect Homes 3-seater Sofa
    • 27% additional discount on Acer Predator Helios Gaming Laptop
    • 25% additional discount on Sandisk 16GB Pen Drive

    Propelling the Amazon Flywheel

    While Amazon clearly benefits in the short-term with this sale, the long-term effect of feeding its famous flywheel is evident as well.

    Amazon’s flywheel is a framework through which the company looks to build a self-feeding platform that accelerates growth over time. Attractive discounts and a broad selection of products improves customer experience, which increases traffic to the website, which attracts more merchants on its platform, who in turn broaden the selection of available products.

    Sale events like Prime Day create the sort of hype needed to draw a lot of traffic to Amazon’s website, generating momentum that has a compounding effect on Amazon’s growth. Not surprisingly, more than half of the people surveyed in the US by Cowen last December said they lived in a household with at least one Prime subscription.

    As Amazon’s stock traded at an all time high following Prime Day, it’s only a matter of time before the company becomes the world’s first trillion dollar company.

    Check us out, if you’re interested in learning more about our technology and how we provide Competitive Intelligence as a Service to retailers and consumer brands.

  • How to Win the Coveted Amazon Buy Box | DataWeave

    How to Win the Coveted Amazon Buy Box | DataWeave

    Did you know that over 80% of purchases on Amazon.com is via the buy box?

    While Amazon is all the rage today, raking in 43% of all eCommerce dollars, thousands of merchants on the online marketplace look to seize every opportunity to attract shoppers and drive sales each day. And for these merchants, getting on the buy box is more than half the battle won.

    Recently, Forbes.com published our study of how online merchants can plot their strategy to win the buy box. In this article, we’ll explore some of the key takeaways from this study.

    What is the Amazon buy box?

    The buy box is the section on the right side of Amazon’s product page, where shoppers can add items for purchase to their cart. Since multiple merchants often offer the same product, they compete to win the buy box spot on the product page, which is where customers typically begin the purchasing process — a huge competitive advantage.

    How can merchants win the buy box spot?

    At DataWeave, we aggregate and analyze billions of data points from the Web to deliver Competitive Intelligence as a Service to retailers and consumer brands. Using our proprietary technology platform, we aggregated data for a large sample of products in the mobile phones, clothing, shoes and jewelry categories on Amazon and collected information on all merchants (over 700 in number) selling these product over a period of 10 days.

    We looked closely at several factors that could possibly impact the choice for the buy box:

    • Was Amazon a merchant or not?
    • The effective price (list price + shipping charges — offer/cashback amount) — after all, a common assumption is that the lowest priced merchant has the best chance of winning.
    • Were Prime benefits offered?
    • The quality of review ratings
    • The stock status
    • The number of products offered by a merchant

    We parsed through the data to unearth some interesting insights and found that some factors influenced the move to the buy box spot more than others.

    We see that when Amazon is a merchant, it’s twice as likely to win the buy box compared to other merchants. Further analysis revealed that for around 95% of instances where Amazon was a merchant but was NOT the in the buy box, Amazon was selling at a price 20% greater than the minimum price.

    When the effective price is the lowest, relative to other merchants, the chances of the merchant winning the buy box increased 2.5-fold. Essentially, for the set of merchants who were the lowest priced for each product, only 26% of them won the buy box.

    Merchants who provided Prime benefits to shoppers were 3.5 times more likely to win compared to other merchants. And lastly, if the percentage of positive reviews for a merchant are decreasing over time, the merchant is 5X less likely to win. All other factors analyzed failed to yield statistically significant results.

    Interestingly, no single factor played an overwhelming role in influencing the buy box criteria. So, with the help of statistical modelling, which considers and weighs all factors, we better understood the relationship between all factors, and traced a path for merchants to win the buy box.

    The Cheat Sheet

    While it isn’t quite possible to develop a fool proof framework, the following flowchart can act as a fairly useful guide.

     

    Clearly, the path to the buy box is not a straightforward one.

    If Amazon itself is a merchant for a product, chances of other merchants winning the buy box are low (35%). However, if a merchant is looking to compete with Amazon for the buy box spot, offering Prime benefits is key (82% probability). Without offering Prime, chances of winning the buy box are almost negligible, even if the merchant is the lowest priced. It’s interesting to note that when Amazon does occupy the buy box spot, it’s the lowest priced in 79% of the cases.

    When Amazon is not a merchant for a product, and competition is only between third-party merchants, offering Prime benefits is still the most influential factor (78%). When Prime isn’t offered, the price is the primary determinant of the buy box merchant (86%).

    Evidently, reducing the price is not always the best course of action. It appears that offering Prime benefits has the biggest impact on a merchant’s chances of winning the buy box, across various scenarios.

    However, it’s important to keep in mind that moving up the “merchant ladder” is a gradual process, based on how merchants perform consistently over time.

    If you’re interested to learn more about DataWeave’s technology, and how we help retailers and consumer brands optimize their online strategies, visit our website!

  • Clearance Sale Analysis: Retailing Woes Stagger H&M and Toys “R” Us

    Clearance Sale Analysis: Retailing Woes Stagger H&M and Toys “R” Us

    Confidence amongst retailing analysts was rocked last month by two successive announcements.

    H&M’s most recent quarterly report, which revealed it had accumulated over $4.3 billion in unsold inventory, shocked retail analysts. In an era of on-the-fly inventory replenishment where stocks are closely matched to sales, a spike in unsold inventory is a strong indicator of trouble ahead. The news left analysts questioning H&M’s competitiveness in the fiercely contested global apparel category, where ever-changing consumer preferences demand agility in managing inventory levels.

    In the other major announcement, Toys “R” Us officially closed its doors to shoppers. The retailer’s losses continued to pile up and the chain groaned under a mountain of debt, leaving it little choice but to close down. “The stark reality is that the (chain is) projected to run out of cash in the U.S. in May,” it said in its bankruptcy filing.

    While the emergence of the online shopping phenomenon hasn’t helped Toys “R” Us, its ongoing afflictions largely reflect strategic missteps that predated the online shopping boom. In a category where the shopping experience is all, the retailer failed to adapt to changing consumer expectations. The warehouse context which shaped the retailing did little to promote toys sales or communicate the sheer breadth of inventory carried by Toys “R” Us.

    So, as Toys “R” Us begins to wind down its operations, the company has shuttered its online store and is channeling customers to its remaining physical retail outlets. However, prior to the closure, shoppers enjoyed some amazing bargains during their clearance sale.

    H&M’s problems appear less terminal. Its management claim to have implemented a strategy to slash its accumulated inventory and reign in its aggressive store expansion strategy.

    At DataWeave, we leveraged our proprietary data aggregation and analysis platform to analyze the clearance sales of both H&M and Toys “R” Us. We tracked the pricing, product categories, discounts, review ratings, stock status and more between 29-Mar and 3-Apr.

    The Toys “R” Us Sale

     

    Although the dolls and stuffed animals category carried the most products, its average discount was along the mid-range point for the sale at 28 percent. Games & Puzzles and Action Figures and NERF were the most heavily discounted categories at 40 percent and 36 percent respectively.

    As anticipated, products with lower review ratings were sold at slightly higher discounts. However, even exclusive products were sold at comparatively high discounts. Not surprising, given this was effectively a clearance sale.

    Hasbro, Mattel, and Spin Master were the highest represented brands during the sale, while for their part, Kid’s Furniture and Outdoor Play had fewer products participating in the sale. Other popular brands such as Fisher-Price and LEGO had a presence during the sale but offered fewer products.

    Zuru was the most aggressive in offering discounts with Spin Master the least aggressive. The remaining brands offered discounts of between 30 and 36 percent.

    Reports suggest that last year, toymakers Mattel and Hasbro each sold around $1 billion worth of their toys at Walmart, more than the volume they achieved selling through Toys “R” Us. Strategically, these leading brands seem to have their bases covered even though Toys “R” Us is closing down.

    Interestingly, some products were seen to go out of stock during the sale week, only to be replenished a day later, as illustrated in the above infographic.

    The H&M Sale

    Overall, H&M’s clearance sale was more aggressive in Women’s Apparel with three times more products on offer than for Men’s Apparel. However, there wasn’t much difference between the two in terms of the discounts on offer which hovered around the 45 percent range. Women’s Tops, Cardigan’s and Sweaters offered discounts on the most products during the sale period.

    Little difference was observed tactically, between how the different product categories, were handled.

    We saw a significant movement of products in Women’s apparel during the week, with over 330 newly added products and close to 200 products that were effectively churned. This pattern indicates H&M achieved a faster shelf velocity for this category than for Men’s, possibly due to a more aggressive approach to the selection of items on sale.

    Customer focus is key

    Reports indicate that despite a series of widespread and aggressive markdowns as shown in the analysis above, H&M is struggling to sell off its mountain of accumulated merchandise. Changing consumer tastes and increasing competition seem to have taken their toll on the once agile Swedish retailer. If it is going to weather this storm, H&M needs to revisit its fast fashion approach to assortment and inventory management. The retailer would also appear to need to improve its demand forecasting expertise.

    The bankruptcy filing by Toys “R” Us presents yet another lesson for eCommerce and bricks-and-mortar retailers alike, to address evolving consumer expectations and focus closely on the customer experience aspect of their business, which are supported by appropriate pricing and product assortment strategies.

    At DataWeave, our technology platform enables retailers to do just that, through comprehensive and timely insights on competitive pricing, promotions, and product assortment. Check out our website to find out more!

     

  • Amazon’s Fashion & Apparel Product Assortment | DataWeave

    Amazon’s Fashion & Apparel Product Assortment | DataWeave

    Apparel remains one of the key battleground categories in retail today, and like in most other product categories, Amazon has made significant in-roads here. Beyond expanding the range of product offerings and brands in its marketplace, Amazon has also launched several private label brands in this vertical and looked to drive more sales as a first-party seller.

    Recently, DataWeave collaborated with Coresight Research, formerly known as Fung Global Retail & Technology, a retail-focused research arm of Li & Fung Group, to publish an in-depth report revealing Amazon’s strategic approach to product assortment in its fashion and apparel category.

    In this blog post, we’ll summarize some interesting insights into Amazon’s strategy from the report. For an in-depth and detailed view, check out the original article at — “Amazon Apparel: Who Is Selling What? An Exclusive Analysis of Nearly 1 Million Clothing Listings on Amazon Fashion”

    Research Methodology

    Our analysis focused on several critical areas, including the presence of Amazon’s private label, the demarcation between Amazon as a seller and its third-party sellers and the top brands and categories in women and men’s apparel.

    We aggregated data from Amazon.com in two stages:

    Firstly, we identified brands with a meaningful presence in Amazon’s clothing offering by identifying all brands included in the top 500 ranks of featured product listings for each product type in the Women’s Clothing and Men’s Clothing sections on Amazon (e.g., the Top 500 product listings for women’s tops and tees, the Top 500 product listings for men’s activewear, and so on.). This generated a total of 2,798 unique brands.

    Secondly, we aggregated our data on all product listings within the Women’s Clothing and Men’s Clothing sections for each of the 2,798 brands identified previously. This returned a total of 881,269 individually listed products. This extensive list forms the basis for the highlights in Coresight’s report.

    Coresight’s Analysis — Some Interesting Insights

    Strategically, Amazon remains heavily reliant on its third-party sellers in the clothing category. In total, just 13.7 percent of women’s and men’s clothing products featured on Amazon Fashion are listed for sale by Amazon itself (first-party sales), while third-party sellers account for 86.3 percent of listings.

    In womenswear, third-party sellers account for 85.7 percent of listings, while in menswear, they account for 87.1 percent of listings. Moreover, Amazon appears to be focusing its first-party clothing inventory on the higher-value categories. Clearly, the retailer’s reliance on third-party sellers underscores its opportunity to grow its sales of apparel volumes by bringing more of its current inventory in-house.

    The analysis found 834 Amazon private-label products on Amazon website, equivalent to 0.1 percent of all clothing available through Amazon Fashion. The company’s private labels appear to be clustered tightly in specific clothing categories.

    Womenswear brand Lark & Ro is by far the biggest of Amazon’s apparel private labels, as measured by the number of items.

    Nike is the most-listed brand on Amazon Fashion, with 16,764 listed products spanning womenswear and menswear. Lower-price brands such as Gildan and Hanes also rank very highly in terms of the number of products listed.

    Value-positioned brands that have traditionally focused on wholesaling to retailers, such as Gildan and Hanes, also rank very highly in terms of the number of products listed.

    What is clear is that currently, Amazon’s clothing listings are highly diluted, with no one major brand dominating the listings.

    Interestingly, casualwear and activewear clearly lead Amazon’s category rankings. Women’s tops and tees are the most heavily listed clothing category on Amazon Fashion, with 138,001 products listed.

    Men’s shirts, which includes a large number of casual shirts together with polo shirts and some T-shirts, comes in second, with 109,043 products listed. Echoing the prominence of the global Nike and Adidas brands on the Amazon website, activewear has achieved a centre of gravity status as a category, accounting for 76,930 men’s activewear products and 51,992 women’s activewear products listed on the site.

    Several Opportunities for Growth

    Amazon Fashion remains heavily dependent on third-party sellers. It’s a fair assumption that more first-party listings would attract greater numbers of shoppers, especially Amazon Prime members. Amazon’s private-label ranges represent another potential lever for growth.

    Also, the 30 most-listed brands on Amazon Fashion comprise 30 percent of all clothing products listed on the website, while just 189 brands have more than 1,000 products each listed on the website.

    This data indicates the presence of major growth opportunities across the board, be it Amazon private label brands, Amazon as a seller, and for several mid-range clothing brands.

    If you’re interested in DataWeave’s technology, and how we aggregate data from the Web to provide unique and comprehensive insights on eCommerce products and pricing, check us out on our website!

  • Boxing Day Sale: How UK’s Top Retailers and Brands Fared

    Boxing Day Sale: How UK’s Top Retailers and Brands Fared

    Following a successful Black Friday in November, the United Kingdom geared up for the 2017 Christmas season in December. Analysts estimate the total splurge in December at about £45 billion, beating last December’s record of £43 billion.

    Online sales hit £1.03billion, passing the £1billion threshold for the first time and up 7.9 percent on 2016’s £954million, according to the Centre for Retail Research. The rise of online shopping together with the timing of Christmas in 2017 meant shopper footfall in physical stores was lower than in previous years as people increasingly moved to shopping online.

    Total shopper numbers were 4.5 percent down on the previous year, according to research group Springboard, which may reflect the growing strength and reliability of online’s product range and delivery responsiveness.

    Major online retailers though continued to pull out the big discount guns across categories in an effort to attract online shoppers on Boxing Day, the biggest sale event in December.

    At DataWeave, we focused our proprietary data aggregation and analysis platform to analyze the top 500 ranked products in over 20 product categories across electronics and fashion retailers in the UK. Our analysis included several top UK retailers, which include Amazon, Argos, Currys, Tesco, Asos, Marks & Spencer, and Topshop.

    The discounts in the infographic below indicate the magnitude of reduction in prices during the sale (26th Dec), compared to before the sale (19th Dec), in order to best represent the additional value derived from the sale for shoppers.

     

    Boxing Day Sale Highlights

    In electronics, while Amazon offered discounts on the most number of products, Argos was aggressive in the average size of its additional discounts.

    Surprisingly, Amazon appeared to be much more conservative in the Men’s Fashion category with an average additional discount of 13.8 percent, spanning 341 products. Here, Asos deployed the most aggressive combination of high average additional discounts (36.9 percent) on a large number of products (165).

    Marks & Spencer focused their targeted discounts (43.1 percent) on a tight set of Men’s Fashion products (45), while interestingly, the story almost reverses in Women’s Fashion, where both M&S (43.1 percent, 281 products) and Topshop (40.5 percent, 226 products) were aggressive in what turned out to be a critical battleground category.

    Leading brands weren’t left out of the discounting action either, with the largest discount on offer going to Ruche (48.9 percent on 33.3 percent) women’s tops, closely followed by M S Collection (41.9 percent on 32.3 percent) handbags and Asos’ (37.5 percent on 21.2 percent) men’s jeans.

    Most Discoverable Brands

    We also analysed the most discoverable brands in each product type. This was measured as a combination of the number of the brand’s products present in the Top 500 ranks of a product type, as well as the average rank (lower the number, higher is the discoverability).

    It was no surprise that Canon DSLR cameras were highly discoverable on Amazon with 90 products, along with an average ranking of 93.2, while 34 Asus laptops recorded an average ranking of 85.2. At Argos, 57 Acer laptops recorded an average ranking of 73.4 while 50 LG televisions delivered an average ranking of 124.1.

    Other highly discoverable brands included MS Collection in Marks & Spencer, Apple iPhones and Tablets on Curry’s and Tesco.

    The Online Retail March Continues

    If we look at sales results across the world, from the United Kingdom to the United States, to Asia in countries such as India, Singapore and Indonesia through to Australia, online retail is aggressively cannibalizing traditional bricks and mortar in-store retail sales. Online retail’s demonstrated superiority in exploiting competitive intelligence and a sophisticated suite of analytics that accompany digital transactions, is surfacing in its agile discounting strategies, and its ability to continuously refresh product lines during key sales periods.

    This Boxing Day in the UK, fashion proved to reveal divergent discounting strategies between retailers, while only marginal differences in approach were visible in electronics — both high volume categories around Christmas season.

    Overall, December 2017 in UK marked a strong validation of online retail’s influence and we can expect a continuation of it’s ability to harness discounting with extensive product offerings, in order to lure shoppers away from in-store.

    If you’re interested in DataWeave technology, and how we deliver Competitive Intelligence as a Service to retailers and consumer brands, check out our website!

     

  • Myntra Leads End of Year Promotions in Fashion

    Myntra Leads End of Year Promotions in Fashion

    Following three back-to-back mega-sale events leading up to Diwali, India’s eCommerce companies once again opened the discount floodgates heralding Christmas and New Year. This time around, Fashion was the battleground category of focus for Indian e-retailers.

    Myntra launched its End of Reason Sale held between 22nd and 25th December. eCommerce behemoth Amazon too announced its own grand Amazon Fashion Wardrobe Refresh Sale on the same days, while Flipkart hit the market with its End of Year Bonanza held on the 24th and 25th of December. Paytm and Snapdeal held sale events as well, starting 23rd December. All competing sale events promised consumers up to 80 percent discounts across a range of products, especially in Fashion.

    At DataWeave, we analyzed and reported on the competing pricing strategies of Amazon, Flipkart, Myntra, Paytm, and Snapdeal. In the following infographic, we look specifically only at additional discounts offered on the top 500 ranked products of over 15 product types during the sale, compared to those before the sale events went live.

    Myntra Gets Aggressive

    Myntra elected to discount over 84 percent of its Top 500 ranked Fashion products encompassing each product category, with an average additional discount percentage of over 25 percent offered during the sale.

    A prime example of this discounting approach was the sports shoe segment, which received an aggressive additional discount of 28 percent on over 93 percent of the Top 500 ranked sports shoes. Similarly, Myntra’s additional discounts ranged from between 22 percent and 25 percent across most product types, including T-shirts, Shirts, Handbags, Jeans, Skirts, Sunglasses, and Watches. The fashion e-retailer’s private label brands enjoyed attractive reductions in prices, which include Hrx and Roadster, along with other brands like Red Tape, Nike, and Puma.

    Amazon Discounts To A Different Beat

    Amazon discounted 35 percent of its Top 500 ranked Fashion products in each product type, with an average additional discount percentage of 12.5 percent during the sale. Given Amazon’s track record of dynamic pricing, this was relatively conservative.

    Overall, additional discounts on Amazon ranged between 4 percent and 16 percent across all product types in Fashion. Top brands discounted on Amazon included Adidas, Fastrack, Hush Puppies and Ray-Ban.

    Flipkart Joins The Party

    Flipkart too joined the End of Year discount action with several attractively positioned offers, exceeding those featured on Amazon. Flipkart discounted over 65 percent of its Top 500 ranked Fashion products in each product type, with an average additional discount percentage of over 14 percent during the sale.

    Additional discounts promoted on Flipkart ranged between 8 percent and 22 percent across all Fashion product types, while some of the top discounting brands included Dkny, Metronaut and United Colors of Benetton.

    Conspicuously, other Indian e-retailers like Paytm and Snapdeal chose not to join in the price war. Snapdeal, especially, has consistently offered only moderate additional discounts during recent sale events, choosing to focus more on other areas of improving the user experience for their shoppers.

    Strategic Focus On Profitability

    In contrast to the profit-sapping Diwali sale season, characterized by steep discounts across all product categories, this end of year sale was more concentrated, largely honing in on Fashion. From a strategic and shareholder perspective, limiting the discounting action to Fashion insulated the retailers’ bottom line from another major profit hit.

    Myntra determinedly reaffirmed its leadership status in the Fashion category, with its highly aggressive discounting strategy. This was well received by shoppers, who spent a staggering ₹5 crore in only the first five minutes of the sale.

    Flipkart opted to double down this time around with attractive offers on its own eCommerce platform as well. The e-retailer, currently locked in a battle with Amazon for leadership in India’s eCommerce sector, had acquired Myntra in 2014 in a bid to strengthen its position in the fashion category.

    Amazon, intriguingly, opted for a more conservative approach to its end of year sale than we are used to witnessing from the eCommerce giant. As we enter the new year, and kickstart yet another cycle of aggressive e-retail promotions in India, there will be ample opportunities to see if this is evidence of a rethink in Amazon’s approach to pricing in India.

    If you’d like to know more about DataWeave’s technology, and how we provide Competitive Intelligence as a Service to retailers and consumer brands, check out our website!

     

  • Tracing Lazada’s Pricing Across the Month-Long Online Revolution Sale

    Tracing Lazada’s Pricing Across the Month-Long Online Revolution Sale

    Commencing on the 11th of November and ending just a few days ago on the 12th of December, Southeast Asia’s biggest sale event, the Lazada Online Revolution sale rewrote the record books.

    This mega-shopping event is held simultaneously across six Southeast Asian countries, spanning Singapore, Malaysia, Thailand, Indonesia, the Philippines and Vietnam and was bookended by its two biggest sale days, on 11.11 and 12.12.

    In an earlier blog post, we published a highly detailed analysis of the sale on 11.11, using DataWeave’s proprietary data aggregation and analysis platform. This post zoomed in on the pricing and product strategies of Lazada and its competitors in Singapore and Indonesia.

    On the 12th December, Southeast Asian shoppers shattered all retailing expectations by reportedly spending a record-breaking $250 million. This was double both this year’s 11.11 sale and last year’s 12.12 sale. According to Forbes, the 12.12 sales became such a hit that Indonesia even designated the day to be its National Online Shopping Day, or Harlbonas.

    At the end of the sale event on 12th December, DataWeave assimilated all the data we collated throughout the Online Revolution sale and examined pricing trends across the entire span of four weeks, exploring each retailer’s strategy by brand, by category, and by product type.

    We aggregated pricing information on the Top 500 ranked products of over 20 product types featured on each website (Lazada, ListQoo10, and Blibli), spread across the critical Electronics and Fashion categories, covering over 120,000 products in total.

    Online Revolution — Singapore

    Interestingly, one of the trends that became immediately apparent, was the relatively stable track of the average absolute discounts in Electronics, Men’s Fashion, and Women’s Fashion. No significant spikes or drops were evident throughout the duration of the entire sale season.

    Similarly, the number of discounted products remained relatively stable. However, in Electronics, there was a conspicuous dip in the number of discounted products, which occurred on the 21st of November. Aside from this anomaly, even the number of products discounted remained relatively stable. The other interesting phenomenon was an uptick in the number of discounted products on the 15th of December, after the Online Revolution sale — something counterintuitive.

     

    When we explored the behaviour of the average MRP of discounted products, we noticed a sharp dip on the 21st of November. Clearly, prices were increased specifically on higher-priced electronic products.

    Comparing these numbers with those of ListQoo10’s, who were forced to adopt a more aggressive stance on pricing to stay competitive through this period, we once again see a very consistent discount percentage throughout this period. The average discount in men’s fashion, however, showed a slight upward trend during this period.

    ListQoo10’s number of discounted products in Electronics dipped as well on the 21st of November, demonstrating the retailer’s ability to dynamically react to competitor strategies. This can be evidence of a robust market monitoring system.

    Returning to Lazada, DataWeave identified several product types displaying a significant variation in average discounts through this period. These included men’s shorts, women’s shoes, men’s Jeans, Laptops, DSLR Cameras, and women’s T-shirts.

     

    Once again, our analysis pointed to substantial competitive activity around the 21st of November, together with a second significant dip in discounts on men’s shirts in the period around 5th December. Discounts on women’s shoes, by contrast, proved to be a roller coaster throughout the entire sale period.

    Some of the brands with high variation through this period were Lenovo Laptops, Levi’s T-shirts, Adidas Women’s Shoes, Seiko Watches, and Sony Phones.

     

    Discounting activity by these brands appeared to be all over the place during this period, without any discernible pattern or structure. While Sony predictably lowered discounts on its phones after 12.12, Levi’s increased its discounts in the same period

    Online Revolution — Indonesia

    Moving on to Indonesia, we once again witnessed a similar approach to average discounting by category as we saw emerge in Singapore. At a category level, the retailer evidently opted for trading within a narrow discount band across the sale period rather than attempting to inject an overly dynamic discounting approach into their sale execution.

     

    This is not to say there were not some surprises in store with the number of discounted products in Indonesia. In electronics, there was a noticeable dip in the number of discounted products just ahead of the 12.12 sale. The number of discounted products then surprisingly surged after the 12.12 sale, in combination with a slight reduction in average discount percentage during the period.

    In comparing Blilbi, Lazada’s main competitor in Indonesia, we see a fairly consistent discounting level throughout the sale period, although markedly lower than those rolled out by Lazada across its three core categories.

    This approach held true even for the number of discounted products. Blibli seems to have been content to take a backseat to Lazada during the heavily promoted Online Revolution sale period, rather than attempting to compete aggressively in any single category.

    It will be interesting to see if Blilbi is content to repeat this strategy in 2018 as it effectively surrenders the discounting high ground to Lazada during the peak sales period. While this strategy may yet be proven to have paid off in terms of profitability, it may have undesirable consequences for Blilbi’s brand and share performance in the longer term.

    Returning our focus to Lazada in Indonesia, some product types showed major variation through the sale period, specifically DSLR Cameras, which dipped significantly approximately a week out from the 12.12 sale. However, compared to Singapore, Indonesian discounts by product types appeared relatively more stable, except a few dips prior to 12.12.

    Three distinct discounting strategies appears to have been adopted by participating brands. Some, such as Electrolux (Refrigerators), opted for a comparatively stable discounting approach. Others, like Apple, increased prices through the sale period, while Alienware, reduced prices through the sale period.

    In particular, Apple’s pricing approach to its iPhones was surprising, given its strong partnership with Lazada during this Online Revolution sale. Yet another example where the marketing hype failed to translate into an aggressive discounting strategy.

    More Talk Than Walk

    For Lazada, the Online Revolution sale proved to be a triumph, effectively extending its record-breaking streak with USD 250 million in sales on 12.12 alone. However, on parsing through the pricing across the entire month of the sale, there is clearly no dramatic increase in discounts either on 11.11 or on 12.12 — some anomalies notwithstanding.

    This goes to show that much of the sales is driven by hype, more than the additional value of discounts. To be fair, 11.11 and 12.12 hosted discounts on some of the more premium products in the assortment, while discounts on most of the mid-range products remained consistent. While some competitors like ListQoo10 chose to stay competitive, so as not to lose out significantly on their customer base and market share, others like Blilbli chose to sit and watch, and pick up on what’s left after the sale.

    This year’s Online Revolution has set the bar high for South East Asian retail, and going by how the event has grown over the last few years, few would be surprised if we witness another record braking sale in 2018.

    If you’re interested in DataWeave’s technology, and how we provide Competitive Intelligence as a Service to retailers and consumer brands, check us out on our website!

     

  • Consumer Packaged Goods Join The Black Friday Blitz

    Consumer Packaged Goods Join The Black Friday Blitz

    While the Thanksgiving weekend sale, which includes Black Friday and Cyber Monday, is famous for attractive offers across all consumer categories, it remains better known for its discounts on Electronics and Fashion. Consumer goods, traditionally, have evaded much the hype.

    This year, notwithstanding notoriously slim margins, consumer goods and grocery retailers and brands joined Electronics and Fashion in offering sharp discounts on select products in an attempt to carve out increased market share.

    In the past, discounts on consumer packed products have been to drive increased store traffic during the holiday season. Increasingly, however, Thanksgiving has emerged as a viable opportunity for grocers to recruit online shoppers as well and build out their franchise.

    Online Grocers Make Their Move

    Faced with the holiday rush, large numbers of shoppers are proving to be relaxed about trusting the retailer to bag up and deliver their holiday feasts and treats. Grocers themselves have taken the strategic decision to boost their online shopping presence this year.

    They geared up to support their new holiday presence with aggressive price cuts designed to cut through the holiday sales clutter and make direct appeals to a newly-in-play online shopper pool. So transparent was this commercial decision, that many retailers experienced sharp drops in their share prices as industry analysts anticipated the retailers’ new discount-driven strategy.

    Tracking The Numbers

    At DataWeave, using our proprietary data aggregation and analysis platform, we have been tracking, through November, pricing and product information of the Top 1,000 ranked consumer goods products in over 10 product types featured on Amazon Prime, Walmart, Target, Costco, Kroger, Safeway, and Whole Foods, across up to six zip codes each, distributed across the country.

    DataWeave’s major focus was to compare the three main days of the Thanksgiving weekend; Thanksgiving Day, Black Friday, and Cyber Monday. We performed an in-depth analysis of discounts offered across product types and brands, together with how aggressively dynamic retailers were in both their pricing strategy and in the products they displayed.

    In analyzing this major sale event, we observed an extensive range of products enjoying high absolute discounts, but with no additional discounts during the sale, i.e. prices remained unchanged between the period prior to the sale and during each day of the sale, even though high discounts were advertised. The following infographic highlights some of the products where this phenomenon was observed.

    As a result, we focused our analysis only on the additional discounts offered on each day of the sale, compared to the period prior to the sale (we considered 11.21), in order to accurately illustrate the true value shoppers enjoyed during these sale days.

    The following infographic reveals some interesting highlights from our analysis, including the level of additional discounts offered to shoppers, the top brands featured, and the number of dynamic price changes implemented during the sale. All prices analysed are in USD, and all discount percentages represent average values across all zip codes, analyzed for individual retailers.

    In contrast to Amazon Prime, Costco, and Kroger who opted to run with deep discounts on a limited range of products, retailers such as Target and Walmart chose to offer only marginally higher additional discounts but across a large number of products. Others like Safeway adopted a safer approach, combining low discounts on a modest range of products.

    Overall, our analysis discovered little variation in discounts offered across each of the three sale days, with the only enduring trend being a marginally higher discount percentage implemented on Cyber Monday across all retailers.

    Categories significantly discounted across retailers included Personal Care, Deli, Dairy & Eggs, and Babycare products. Stove Top, Martinelli, Colgate, Dove and Hillshire Farm emerged as the leading brands to adopt a more aggressive discount approach.

    While most of the products offered across each of the three peak holiday sale days were comparatively constant (few new products featured amongst the Top 500 ranks), there were a number of conspicuous exceptions. Amazon Prime (19 percent on Cyber Monday), Whole Foods (15 percent on Thanksgiving), and Kroger (12 percent and 11 percent on the first two days of sale respectively), elected to refresh a significant portion of their Top 500 ranked product assortment.

    Across the entire Thanksgiving week, we saw Target, Amazon Prime, and Kroger all highly active in changing prices to stay competitive. Our analysis of these retailers showed more than 1.6 price changes for each price-changed product. While these were implemented on roughly 20 percent of their assortment, itself a significant proportion, the average price variation for each of these retailers was also on the higher side of expectations. In contrast, the other retailers adopted a far more conservative approach to dynamic pricing.

    Consumer Goods Walk The Discount Talk

    In a year when Amazon acquired Whole Foods to forever merge the dynamics of offline and online grocery retail, aggressive discounting by several retailers in specific product categories, combined with high visibility brands, has carved out a new profile for CPG retail.

    Grocers are eyeing a future where online shopping becomes a prime feature of their retail franchise. Amazon for its part demonstrated its prowess in discounting strategy, and its ability to implement a dynamic pricing strategy in tandem with a refreshed Top 500 product assortment.

    Other retailers are not far behind, as the use of market and competitive intelligence technologies pick up steam across the board. In today’s digital economy, data can be the biggest competitive advantage for a retailer, and retail technology providers like DataWeave have upped their game to deliver highly unique and sophisticated data and insights to meet this demand.

    Visit our website, if you’re interested in DataWeave and how we provide zip-code level Competitive Intelligence as a Service to retailers and consumer brands.

  • Thanksgiving, Black Friday and Cyber Monday Parade Discounts in Fashion

    Thanksgiving, Black Friday and Cyber Monday Parade Discounts in Fashion

    Fashion has always been one of the great engines of retail, and two of its iconic sale events are Thanksgiving and Black Friday. While Black Friday was traditionally an in-store shopping event, a large number of shoppers have migrated online taking much of the sales action with them.

    Despite shoppers typically liking to be able to touch and feel fashion and apparel products prior to purchasing them, the convenience of online shopping combined with time-poor shoppers returning to work after their Thanksgiving break has triggered changes to consumer behavior. Today, the retail narrative has shifted to focus on online, with this year’s Thanksgiving weekend turnover up 6.8 percent from last year.

    At DataWeave, using our proprietary data aggregation and analysis platform, we have been tracking the pricing and product information of the Top 500 ranked Fashion products across 15 product types on Amazon, Walmart, Target, Bloomingdales, JC Penney, Macy’s, Neiman Marcus, and Nordstrom.

    Our primary focus was to compare the three key days of the Thanksgiving weekend: Thanksgiving Day, Black Friday, and Cyber Monday. We performed an in-depth analysis of discounts offered across product types and brands, together with how dynamic retailers were in both their pricing strategy and products displayed.

    (Read also: Thanksgiving vs Black Friday vs Cyber Monday: The Electronics Price War Heats Up)

    In analyzing these monster sale events, we observed a range of products sneaking through to enjoy high absolute discounts, but offer no additional discounts during the sale, i.e. prices remained unchanged between before the sale and during each day of the sale, even though high discounts were advertised. The following infographic highlights some of the products where this phenomenon was observed.

     

    Having identified the aggressive use of high but unchanged absolute discounts among the retailers during the sale, we focused our analysis on the additional discounts offered on each of the days of the sale, compared to before the sale (we considered 11.21), in order to more accurately reflect the true value these sale events deliver to American shoppers.

    The following infographic provides some interesting insights from our analysis along several perspectives, including additional discounts offered, top brands, quality of product assortment, number of price changes, and more. All indicated prices are in USD.

     

    Our analysis illustrated how aggressive Target was in its strategy for discounting fashion, compared to most other retailers, especially on Thanksgiving and Black Friday. Interestingly, while Macy’s offered reasonably attractive discounts across all product types, it chose to offer them on a much larger product set than any other retailer.

    Overall, the level of discounts, together with the number of products they were offered on, shows no dramatic change for each retailer over the three-day sale period.

    With Neiman Marcus however, we observed a unique pattern. Sharp discounts were offered on Thanksgiving and Black Friday, which were subsequently rolled back completely on Cyber Monday. This represents a clear holiday pricing and discount strategy, albeit conducted on a comparatively compact and highly targeted set of products.

    Other sales discounting phenomena we observed include major discounts on Sunglasses, Shoes, Skirts, and T-shirts across all retailers, clearly representing battleground categories, while some of the top brands offering attractive discounts include Ray Ban, Oakley, Levi’s and Nike.

    Another relatively constant factor across each of the sale days was the average selling price of respective retailers. This parameter indicates how premium each retailer’s product mix is, providing another perspective on each retailer’s customer segment targeting strategy.

    As expected, Target, Walmart and JC Penney housed the more affordable set of products (average selling prices of $25, $31, and $45 respectively). At the other end of the premium spectrum, Neiman Marcus — home to luxury brands and products — adopted a more premium product assortment (average selling price between $820 and $914).

    In fashion, presenting a fresh assortment consistently is key to customer retention, and Amazon leads the pack in this regard, with a product churn rate of 50% in the top 100 ranks each day. Contrast that with Walmart and Target, who follow a more traditional approach, with a largely static set of options to choose from in its top ranks.

    Most of the retailers we analysed implemented several price changes to large percentages of their product sets. Macy’s and Walmart were at the forefront of this dynamic pricing activity. While Bloomingdales too made over 1,300 price changes, the average magnitude of these changes proved to be very high, at 206 percent.

    Fashion Fast-Forwards Its Online Sales

    While the memories of frantic shoppers tussling over fashion and apparel items on Black Friday still linger, they are fast receding as online fashion sales turnover goes from strength to strength. Shoppers are firmly placing long, winding queues in their rearview mirror and embracing the digital shopping cart more with each passing year, as spotlighted this Thanksgiving sale weekend.

    Sunglasses, Shoes, Skirts, and T-shirts emerged as key battleground categories for retailers over the weekend, while individual retailers displayed diverse approaches to capturing and retaining market share with their target demographic — quite assuredly while using modern retail technologies that help develop and execute on competitive strategies.

    As retailers move into the Christmas sales phase it will be fascinating to discover how they are evolving their ability to dynamically change pricing, refresh product categories and focus their shopper promotions.

    Visit our website, if you’re interested in DataWeave’s technology and how we provide Competitive Intelligence as a Service to retailers and consumer brands.

     

  • [INFOGRAPHIC] Thanksgiving vs Black Friday vs Cyber Monday: The Electronics Price War Heats Up

    [INFOGRAPHIC] Thanksgiving vs Black Friday vs Cyber Monday: The Electronics Price War Heats Up

    Alibaba may have raked in some $25 billion on Singles’ Day in the largest one-day sales turnover ever. In the Western world, however, Black Friday remains an economic force.

    This Black Friday, American shoppers spent a record $5 billion online in just 24 hours, representing a 16.9 percent increase in dollars spent online compared with last year.

    The sale period, though, comprises of Thanksgiving Day and Cyber Monday as well — each generating over a billion and half dollars in online sales this year.

    Cyber Monday has especially been a popular day for buying online, as people head back to work after the long weekend, making a physical visit to the stores to pick up deals less manageable during the day.

    However, the idea of the Thanksgiving weekend as a single shopping event was laid to rest this year.

    It’s Now Black November

    Online sales from November 1st through the 22nd totalled almost $30.4 billion this year, driven by deals available throughout the month on eCommerce platforms. In fact, every single day in November so far saw over $1 billion in online sales, creating a new paradigm for both shoppers and retailers, in stark contrast to the brick-and-mortal retail driven Black Friday sale events of the past.

    Several online retailers began offering attractive discounts from the beginning of November, specifically on “Black Friday Deals” pages of their websites.

    At DataWeave, using our proprietary data aggregation and analysis platform, we have been tracking, through November, pricing and product information of the Top 500 ranked Electronics products across 10 products types on Amazon, Walmart, Target, Best Buy, and New Egg.

    (Read also: Black Friday Sales Season: How US Retailers Are Gearing Up)

    We also took a few snapshots of the products and discounts offered on the “Black Friday Deals” pages of Amazon and Walmart. We saw both websites offering deep absolute discounts in Electronics (40.1 percent on Amazon, 30.4 percent on Walmart) on over 400 products each day.

     

    Moreover, these discounts weren’t restricted to static product sets. 73.2 percent (Amazon) and 30.6 percent (Walmart) churn of products was observed on these pages each day, providing shoppers with a steady stream of attractive discounts on new products every day.

    Our major focus, though, was to compare the three main sale days of the Thanksgiving weekend. We performed an in-depth analysis of discounts offered across product types and brands, as well as how dynamic retailers were in both the pricing and products displayed — all of these, across Thanksgiving (11.23), Black Friday (11.24) and Cyber Monday (11.27).

    We looked specifically only at additional discounts offered on each of the days of the sale, compared to before the sale (represented by products and its prices on 11.21).

    Overall, we discovered that the level of discounts, together with the number of products they were offered on, does not change dramatically across all 3 days. Some exceptions include –

    • Higher number of additionally discounted products on Amazon and Walmart on Cyber Monday
    • Lower additional discounts offered by Best Buy on Cyber Monday
    • Lower number of products additionally discounted on New Egg on Thanksgiving and Black Friday.

    Discounting strategies across most retailers converged on significant discounts on Pendrives, Smartwatches, DSLR Cameras, and Mobile Phones, while some of the top brands that offered attractive discounts include Apple, Fossil, Canon, Nikon, Sandisk, and HP — across a range of product types.

    While the average selling price (indicative of how premium the product mix is) for each retailer did not change significantly across each of the featured sale days, there was some variation at a product type level, with Laptops and Digital Cameras displaying some variation in average assortment value across Target, Walmart, and New Egg.

    Perhaps the most interesting insight provided by the analysis is just how different each retailer is in its approach to changing its prices. Over the entire week (11.21 to 11.27), Amazon made over 3,600 price changes on over 50 percent of its consistently-top-ranked products. Compare that to Target’s 289 price changes on 30 percent of its products.

    While the average magnitude of price change on Amazon is 27 percent, Best Buy has been far more aggressive with the magnitude of its price adjustments (47 percent), even if it has implemented fewer price changes. Amazon clearly leads the industry here, with its continual focus on employing advanced retail technologies that enable automated, optimized price changes designed to ensure its products are competitively priced.

    How Strategic Is Retail Pricing?

    Another aspect DataWeave explored was whether e-retailers sometimes increase their prices in the lead-up to a sale, only to reduce them during the sale, enabling them to advertise larger discounts. We did observe that all e-retailers effectively increased their prices on a discrete and small set of products prior to their sale. For the purposes of our analysis, price increases before the sale was calculated as an increase in price between 11.14 and 11.21.

     

    Highlights of our analysis include the discovery that Best Buy increased its prices in Electronics significantly on a small selection (3.5 percent) of its product range prior to the sale, only to reduce those prices immediately during the Thanksgiving weekend sale.

    While Amazon proved not to be as aggressive in the magnitude of this activity as Best Buy, this phenomenon was observed across a larger portion of Amazon’s assortment (6.7 percent)

    Online is Now More Important Than Ever

    While the legend and aura of past Black Friday sale events, complete with long overnight queues and highly publicized stampedes, is ebbing away, in lock-step with the dwindling numbers of store footfall this year (down 2 percent), the Thanksgiving sale season is set for a new transformation, following the growing number of shoppers preferring to shop online.

    A survey by the National Retail Federation found that 59 percent of shoppers plan to shop online this year, marking the first time that online has emerged as the most popular choice for America’s shoppers.

    With an extended sales season to offer discounts, and moving into Christmas, it has become increasingly important for retailers to monitor and react dynamically to their competitors’ pricing, product and promotional activities. Without the ability to track, react, and tweak in real time, retailers risk having their competitive position eroded, dramatically impacting both sales and retail margins.

    Leading eCommerce retailers such as Amazon, and evolving retailers like Walmart have embedded these systems into their overarching strategy and operations, while others are condemned to play catch up.

    As this fascinating cycle of the sale season ends, and retailers crunch their numbers to assess their comparative performance, sights are now set on Christmas to extend this sale extravaganza.

    Visit our website, if you’re interested in DataWeave’s technology and how we provide Competitive Intelligence as a Service to retailers and consumer brands.

     

  • Walmart’s Online Pricing Analysis | DataWeave

    Walmart’s Online Pricing Analysis | DataWeave

    In an increasingly competitive retail landscape and facing intense margin pressures, improving the profitability of online commerce is a growing area of focus for all retailers.

    When Amazon acquired Whole Foods in August, several media outlets and analysts speculated whether there would be a slashing of prices across the board. Instead, Amazon lowered prices only on those items that it knew would drive increased traffic to the stores, resulting in a 25% increase in footfall the first 30 days after the acquisition closed.

    (Read also: Amazon’s Whole Foods Pricing Strategy Revealed)

    Disrupting the Status Quo

    Walmart has now announced a shift in its online pricing to draw more shoppers to purchase from its brick-and-mortar stores and save on shipping costs.

    Sarah Nassauer wrote an interesting article for the Wall Street Journal recently, outlining Walmart’s online pricing strategy and its approach to pricing its products differently between its online and offline stores.

    Sarah reports, “Walmart wants to charge customers more to buy some products online than in stores, part of the company’s efforts to boost profits and drive store traffic as it competes with Amazon.”

    What’s interesting is Walmart’s move to display the lower offline store prices on its website for some grocery products, nudging shoppers to drive down to the nearest Walmart store.

    Again, Walmart did not raise prices for all items but only a few, select food and household items, “including boxes of Kraft Macaroni & Cheese, Colgate toothbrushes and bags of Purina dog food, according to people familiar with the matter and comparisons between online and in-store prices.”

    The article goes on to state that, “[T]he move is unusual for Walmart, which has long honed an ‘everyday low price’ message and has worked to keep online prices at least as low as shoppers find in its 4,700 U.S. stores. Walmart e-commerce workers responsible for product sales have been instructed to boost profits along with sales, according to the people familiar with the situation, and are ‘no longer obligated to follow store pricing.’”

    This move indicates a greater focus on online-to-offline (O2O) strategies by the world’s largest retailer in an effort to cut down on the crippling costs of transport operations and logistics. According to a cost analysis by consultants Spend Management Experts, “A $1.28 box of Kraft Macaroni & Cheese could cost a big retailer around $10 to ship from Chicago to Atlanta, depending on how remote the buyer’s address is . . . A smaller retailer would likely pay about double.”

    With this news, the days of providing the same price online and in stores are over, setting a precedent and reflecting important differences in costs and competitor capabilities.

    But how did Walmart know which items to focus on for lowering (or raising) prices?

    Cutting-Edge Competitive Intelligence Solutions

    Did Walmart pick items at random or guess? Not likely. With recent enhancements in competitive intelligence and data analysis solutions, the era of guesswork, gut-fuelled decisions, and manual number crunching is over.

    In today’s digital economy, actionable competitive intelligence has become a critical component in the transformation of retail. Retailers like Amazon and Walmart use competitive insights to identify categories and items that show the greatest potential for increased shopper interest, sales, and profits, to adjust their prices.

    Competitive intelligence providers like DataWeave provide unique, AI-driven, competitive insights and business recommendations by harnessing and analyzing competitive data from the Web.

    When retailers link these competitive insights and data to their internal pricing and inventory systems, they create a powerful engine that marries internal and external forces to produce highly accurate assortment, pricing, and promotion recommendations, all in near real-time.

    As retailers like Walmart experiment with their pricing and merchandizing across channels, they have come to rely on modern retail technology solutions that continue to evolve to help them reduce operational complexities and yield higher ROI.

  • Alibaba’s Singles Day Sale: Decoding the World’s Biggest Shopping Festival

    Alibaba’s Singles Day Sale: Decoding the World’s Biggest Shopping Festival

    $17.5 million every 60 seconds.

    That’s the volume of sales Alibaba generated on 11.11, or Singles Day. This mammoth event, decisively the world’s biggest shopping day, dwarfed last years’ Black Friday and Cyber Monday combined.

    This year, the anticipation around Singles Day was all-pervasive, and the sale was widely expected to break all records, as more than 60,000 global brands queued up to participate. By the end of the day, sales topped $25.3 billion, while shattering last year’s record by lunchtime.

    It’s an astonishing feat of retailing, eight years in the making. When Alibaba first started 11.11 in 2009, they set out strategically to try and convert shopping into a sport, infusing it with a strong element of entertainment. “Retail as entertainment” is a unique central theme for 11.11 and this year Alibaba leveraged its media and eCommerce platforms in concert to create an entirely immersive experience for viewers and consumers alike.

    From a technology perspective, the “See Now, Buy Now” fashion show and the pre-sale gala seamlessly merged offline and online shopping so viewers tuning in to both shows can watch them while simultaneously shopping via their phones or saving the items for a later date.

    The eCommerce giant also collaborated with roughly 50 shopping malls in China to set up pop-up shops, eventually extending its shopper reach to span 12 cities.

    Of course, attractive discounts on its eCommerce platforms were on offer as well.

    Deciphering Taobao.com

    At DataWeave, we have been analyzing the major sale events of several eCommerce companies from around the world. During Singles Day, when we trained our data aggregation and analysis platform on Taobao.com (Alibaba’s B2C eCommerce arm), and its competitors JD.com and Amazon.ch, our technology platform and analysts had to overcome two primary challenges:

    1. All text on these websites were in Chinese

    All information — names of products, brands, and categories — were displayed in Chinese. However, our technology platform is truly language agnostic, capable of processing data drawn from websites featuring all international languages. Several of our customers have benefited strategically from this unique capability.

    2.  Discounted prices were embedded in images on Taobao.com

    While it’s normal for sale prices to be represented in text on a website (relatively easy to capture by our advanced data aggregation system), Taobao chose to display these prices as part of its product images — like the one shown in the adjacent image.

    However, our technology stack comprises of an AI-powered, state-of-the-art image processing and analytics platform, which quickly extracted the selling prices embedded in the images at very high accuracy.

    We analyzed the Top 150 ranked products of over 20 product types , spread across Electronics, Men’s Fashion, and Women’s Fashion, representing over 25,000 products in total, each day, between 8.11 and 12.11.

    In the following infographic, we analyze the absolute discounts offered by Taobao on 11.11, compared to 8.11 (based on pricing information extracted from the product images using our image analytics platform), together with an insight into the level of premium products included in their mix for each product type, between the two days of comparison.

    Unexpectedly, we noticed that each day, ALL the products in the Top 150 ranks differed from the previous day — a highly unique insight into Taobao’s unique assortment strategy.

    Counter-intuitively, absolute discounts across all categories were considerably higher on 8.11 than on 11.11, even if it were for a marginally fewer number of products. The number of discounted Electronics products on sale rose on 11.11 compared to 8.11 (124 versus 102 respectively), while there was little movement in the number of discounted Men’s Fashion(55 versus 57) and Women’s Fashion (35 verses 27) products.

    Taobao targeted the mobile phone and tablets segment with aggressive discounts (21.0 percent and 18.2 percent respectively), compared to the average Electronics discount level of 7.7 percent.

    Interestingly, the average selling price drifted up for Electronics on 11.11 compared to 8.11 (¥4040 versus ¥3330). Men’s Fashion dropped to ¥584 from ¥604 while prices for Women’s Fashion was stable.

    It’s clear that even with all the fanfare, Singles Day didn’t produce the level of discounts that one might have expected, indicating that purchases were driven as much by the hype surrounding the event as anything else.

    How did Alibaba’s Competitors Fare?

    While Taobao was widely expected to offer discounts during Alibaba’s major sale event, we looked at how its competitors JD.com and Amazon.ch reacted to Taobao’s strategy.

    As over 80 percent of top-ranked products were consistently present in the Top 150 ranks of each product type on these websites, we analyzed the additional discounts offered during 11.11, compared to prices on 8.11.

    Broadly speaking, both Amazon.ch and JD.com appear to have elected not to go head to head with Taobao on specific segments. JD.com’s discount strategy was spearheaded by Sports Shoes (22.1 percent) and Refrigerators (14.8 percent) while Amazon.ch featured TVs (15.3 percent) and Mobile Phones (10.2 percent).

    The average additional discounts offered by Amazon.ch and JD.com in Electronics (8.4 percent) was slightly above Taobao’s overall absolute discount (7.7 percent). TCL was aggressive with its pricing on both websites, offering over 20% discount on almost its entire assortment.

    Surprisingly, JD.com swamped Amazon.ch’s number of additionally discounted products, across all three featured categories although this may be partially explained by Amazon.ch electing to adopt a significantly more premium price position in both Men’s and Women’s Fashions compared to JD.com, while remaining roughly line ball on Electronics.

    Jack Ma’s “New Retail”

    Interestingly, JD.com wasn’t far behind Taobao in terms of sales, clocking up $20 billion in revenue, and sparking an interesting public debate between the two eCommerce giants extolling their respective performances.

    Singles Day is one of the pillars of Jack Ma’s vision of a “New Retail” represented by the merging of entertainment and consumption. Ma’s vision sees the boundary between offline and online commerce disappearing as the focus shifts dramatically to fulfilling the personalized needs of individual customers.

    Hence, Alibaba’s Global Shopping Festival should be understood as not just a one-day event that produces massive revenue, but as a demonstrable tour de force of Alibaba’s vision for the future of retail. One thing is certain — as competition heats up between Chinese retailers, we can be prepared for another Singles Day shoot-out sale next year that one-ups the staggering sales volumes this year.

    If you’re intrigued by DataWeave’s technology, check out our website to learn more about how we provide Competitive Intelligence as a Service to retailers and consumer brands globally.

     

  • Under the Microscope: Lazada’s 11.11 Online Revolution Sale

    Under the Microscope: Lazada’s 11.11 Online Revolution Sale

    Lazada’s signature event, Online Revolution, is a month-long sale extravaganza that commenced with a Mega Sale on 11 November, and culminates in an End-Of-Year sale on 12 December. The shopping event is held across six southeast Asian countries — Singapore, Malaysia, Thailand, Indonesia, the Philippines and Vietnam — making it the region’s biggest retail event.

    Lazada Group’s chief executive officer Maximilian Bittner observed, “We aim to provide Southeast Asia’s rapidly growing middle-class the access to a wide range of products with deals and discounts that were previously available only abroad or in the capital cities.”

    On 11.11, the first Mega Sale, shoppers took advantage of great deals, ordering 6.5 million items (nearly doubling last year’s tally), resulting in sales of US$123m, annihilating last year’s takings by a whopping 191 percent.

    At DataWeave, our proprietary data aggregation and analysis platform enabled us to seamlessly analyze and compare Lazada’s discounts during 11.11 with those of its competitors. We focussed specifically on two markets — Singapore and Indonesia. While the sale itself is Lazada’s, we looked at its immediate competitors as well, to study how competitively they position themselves during Lazada’s sale.

    For our analysis, we aggregated pricing information on the Top 500 ranked products of over 20 product types on each website, spread across Electronics and Fashion, covering over 120,000 products in total.

    11.11 — Singapore

    In our analysis, we scrutinized the additional discounts offered by Lazada, ListQoo10, and Zalora during the sale period, compared to prices leading up to the sale. As today’s shoppers often encounter deep discounts on several products even on normal days, our analysis of additional discounts offered during the sale more accurately reflects the true value of the sale event to shoppers.

    In the following infographic, all prices are in Singapore Dollars, and additional discounts are the percentage reduction in price on 11.11 compared to 10.11.

    Lazada’s discounting strategy was more focused on Fashion rather than Electronics. However, Lazada didn’t have it all its own way with Zalora providing comparably high discounts, enabling it to compete effectively, especially in Women’s Fashion (16.2 percent on 406 products).

    Zalora actually exceeded Lazada in the number of additionally discounted products on offer (Zalora 406, Lazada 347). ListQoo10 did not match either Lazada or Zalora’s level of discounting.

    While Lazada held a more premium, high-value product mix in Electronics compared to ListQoo10, it chose to target the more affordable segment in Fashion, with both ListQoo10 and Zalora displaying a higher average selling price in each category.

    Interestingly, Lazada refreshed very few of its Top 500 products during the sale, limiting new options to choose from for its shoppers. On the other hand, Zalora refreshed 22.5 and 22.8 percent of its products in men’s and women’s fashion respectively.

    11.11 — Indonesia

    Using a similar methodology to our Singapore analysis, we analyzed Lazada’s promotions against Blibli and Zalora, three of the top eCommerce websites in the region. In the following infographic, all currencies are in Indonesian Rupiah.

    As with its Singapore strategy, Lazada targeted Fashion as the lead category for discounts in Indonesia. It offered steep discounts in both Men’s and Women’s Fashion (around 18 percent in each) across a large number of products (550 and 776 respectively). While Zalora matched and occasionally exceeded the discounts offered by Lazada, it did so across a significantly smaller range of additionally discounted products.

    Surprisingly, Electronics were de-emphasised in Indonesia (4.1 percent compared to 9 percent in Singapore).

    Compared to the market leaders Lazada and Zalora, Blibli struggled to be competitive from both an absolute discount level and a product assortment perspective.

    Like in Singapore, Lazada looked to be targeting the affordable value end of the product mix spectrum across all categories, and introduced very few new products in its Top 500 ranks.

    Zalora had a healthier churn rate of 14.6 percent and 18.1 percent in Men’s and Women’s Fashion, compared to Lazada’s 9.1 percent (Electronics), 10.7 percent (Men’s Fashion) and 10.8 percent (Women’s Fashion).

    It’s Not Just About Discounts

    Lazada’s ‘Fashion First’ targeting strategy creates an effective tie-in to its broader model of surfing the convergence wave between entertainment and eCommerce, something unique to southeast Asia.

    Together with sumptuously attractive discounts, major sale events in South East Asia are fast becoming characterized by entertainment. By launching Southeast Asia’s first star-studded eCommerce TV show, Lazada continues to be the region’s eCommerce innovator, following in the footsteps of its pioneering parent company, Alibaba.

    While time will tell how effective Lazada’s strategy ultimately proves to be, together with Alibaba, it has set up a fascinating and uniquely Asian retail sale model. No doubt another milestone will be set on 12.12 when the Online Revolution Mega Sale returns with even greater deals. At DataWeave, we’ll be sure to analyze that sale as well and bring you all its highlights.

  • Black Friday Sales Season: How US Retailers Are Gearing Up

    Black Friday Sales Season: How US Retailers Are Gearing Up

    In today’s rapidly evolving online and mobile worlds, few things encapsulate the competitive nature of the online retail battlefield like the Black Friday sales season. With this year’s Black Friday and Cyber Monday sale events just around the corner, 2017 promises another titanic tussle between contenders.

    The holiday shopping season commences on Black Friday, November 24, and continues through much of December. Anticipating the sales season, many retailers are already offering discounts on several key categories and anchor products, providing a sneak peek into what we can expect towards the end of the month.

    While traditionally, Black Friday sales were dominated by brick and mortar retail stores, with the odd shopper stampede not unheard of, retail dynamics have changed in the recent past. Online sales now consume a larger proportion of Black Friday spending, and for the first time, consumers are expected to spend more online in the 2017 holiday season than in-store.

    In anticipation of this mammoth sale event, we at DataWeave trained our proprietary data aggregation and analysis platform on several major US retailers to understand the competitive market environment before the sales kick off.

    Between the 15th and 29th of October, we tracked the prices of the top 200 ranked products each day in the Electronics and Fashion categories across several major retailers. For Electronics, we analyzed Amazon, Walmart, Best Buy, and New Egg, while Amazon, Walmart, Bloomingdales, Nordstrom, Neiman Marcus, New Egg, and JC Penney provided our insights into the pivotal Fashion category. Product types analyzed include mobile phones, tablets, televisions, wearables techs, digital cameras, DSLRs, irons, USB drives, and refrigerators in Electronics, and T-shirts, shirts, shoes, jeans, sunglasses, watches, skirts, and handbags in Fashion.

    Automated Competitive Pricing Is the New Norm

    With the accelerated evolution of online commerce, retailers have increasingly harnessed the power of competitive data to drive changes on the go to their pricing, product assortment, and promotional strategy. During sale events, however, these numbers spike significantly. Amazon famously made 80 million price changes each day during 2014’s Christmas Season sale. Similarly, even on normal days some retailers have adopted the tactics of changing their product pricing more frequently than others, in their quest to stay competitive and build their desired price perception amongst shoppers.

    In our analysis of price changes, we considered the set of products that ranked consistently in the Top 200 from the 20th to the 25th of October. We identified the number of price changes together with the number of products affected by price changes that were implemented by the retailers.

    As anticipated, Amazon led the way with 508 price changes on 236 products in the Electronics category during the period compared to Walmart’s 413. By comparison, New Egg’s 95 price changes trailed the field by a significant margin and illustrate the tactical advantage Amazon’s dynamic pricing technology confers. However, the price variation (8.0%) of Amazon’s was also the lowest of the four retailers included in the study, showing that Amazon makes short, sharp tweaks to its pricing at a higher frequency than its competitors.

    By comparison, the Fashion category demonstrated a much lower level of price changes than Electronics, albeit with significantly higher price variations. Walmart leads the pack, adopting an order of magnitude greater number of price changes across a significantly larger number of products compared to the majority of its competitors.

    Product Mix Suited to Target Market Segments

    While competitive pricing is one strategy for attracting new customers and retaining existing ones, the selection of products featured in a retailer’s inventory is just as important. Ensuring a disciplined product assortment, which caters exclusively to a retailer’s target market segments is key. While some retailers such as Walmart choose to house a more affordable range of products, Neiman Marcus and Bloomingdales target the more premium segment of shoppers.

    It is clear from the data that Walmart has aligned its pricing strategy to support its affordability pitch to its shopper base, while Neiman Marcus and Nordstrom use pricing to juggle the demands of a more premium inventory with perceptions of price competitiveness.

    Product Movement In The Top 200

    Much of a retailer’s sales performance comes down to how effectively it maintains the optimal mix of reassuring bestsellers complemented by attractive new arrivals. Sound product assortment clearly provides shoppers with a variety of options each time they visit the retailer’s website. To achieve this balance, retailers typically employ their own, unique algorithm that ranks products in their listings based on several factors, including price range, discount offered, review ratings, popularity and promotions by brands.

    To study this, we evaluated the average percentage of products that were replaced in the Top 200 ranks for each product type of each website.

    Amazon has clearly adopted a strategy of offering new options to its shoppers each day, with an average of 60% new products in the Top 200 ranks of the Fashion category. Contrast that with Walmart which appears to be more conservative in its approach to churning its Top 200 products. In the case of Neiman Marcus however, the reason for the lower volume of product pricing movements in its Top 200 ranks may be due to the relatively high value of its premium product assortment, which imposes the internal constraints of having a smaller pool of new products to choose from.

    Online-First, This Black Friday Sale Season

    Amazon continues to demonstrate its dominance as a pacesetter in US retail, largely due to its progressive online pricing and merchandising strategies. These embrace the power of big data in its approach to online retail.

    Research shows online is consistently outperforming in-store along critical customer satisfaction dimensions spanning: product quality, selection and/or variety, availability of hard-to-find and unique products, ease of searching and delivery options.

    According to global consultancy Deloitte, for the first time ever, American shoppers will purchase more online than they buy offline in the 2017 holiday shopping season — 51 percent, up from 47 percent in 2016. With Black Friday looming in the next few weeks, it will be interesting to see how US retailers push to seize a larger piece of this growing pie.

    Check out our website to learn more about how DataWeave provides Competitive Intelligence as a Service to retailers and consumer brands globally.

  • Our Analysis of Diwali Season Sales

    Our Analysis of Diwali Season Sales

    As the battle of the Indian eCommerce heavyweights continues to accelerate, we have witnessed three separate sale events compressed into the last four weeks of this festive season. Flipkart has come out with all guns blazing following its multi-billion-dollar funding round, leaving Amazon with little choice but to follow suit with its own aggressive promotions. At this stage of a highly competitive eCommerce cycle, market share is a prize worth its weight in gold and neither Flipkart nor Amazon are prepared to blink first.

    At DataWeave, our proprietary data aggregation and analysis platform enables us to seamlessly analyze these sale events, focusing on multiple dimensions, including website, category, sub-category, brand, prices, discounts, and more. Over the past six weeks, we have been consistently monitoring the prices of the top 200 ranked products spread over sub-categories spanning electronics, fashion, and furniture. In total, we amassed data on over 65,000 products during this period.

    The first of these pivotal sale events was held between the 20th and 24th September, which we earlier analyzed in detail. Another major sale soon followed, contested by Amazon, Flipkart and Myntra for varying periods between the 4th and 9th of October. Lastly, was the Diwali season sale held by Amazon, Flipkart, and Myntra between the 14th and 18th of October, joined by Jabong between the 12th and 15th of October.

    In analyzing these significant sale events for all eCommerce websites, we observed an extensive range of products enjoying high absolute discounts, but with no additional discounts during the sale, i.e. prices remained unchanged between the day before the sale and the first day of the sale. The following infographic highlights some of the sub-categories and products where this phenomenon was more pronounced during the recently concluded Diwali season sale. Here, discount percentages are average absolute discounts of products with unchanged discounts during the sale.

    Having identified the aggressive use of high but unchanged absolute discounts amongst eCommerce heavyweights during the sale, we focused our analysis on the additional discounts offered during the sale, to more accurately reflect the value these sale events deliver to Indian consumers.

    Several categories, sub-categories and brands emerged as enjoying substantial additional discounts. The following infographic details our analysis:

    Amazon and Flipkart continue to stand toe to toe on discounts in Electronics, although Amazon offered discounts across a greater number of products. Flipkart adopted a more premium brand assortment in the Electronics category with an average MRP of INR 30,442 for additionally discounted products.

    What stands out in our analysis is Amazon’s consistently aggressive discounting in fashion compared to Flipkart. As anticipated, Jabong and Myntra continued to offer attractive discounts in a large number of fashion products, seeking to maintain their grip in their niche. Furniture, too, is a category where Amazon out-discounted Flipkart, albeit through a less premium assortment mix (average MRP of INR 23,580 compared to Flipkart’s INR 34,304).

    Several big brands elected to dig deep into their pockets during the sales to offer very high discounts. These included attractive discounts from Redmi, Asus, and Acer in Electronics, and W, Wrangler, Levi’s, Puma, Fossil, and Ray Ban in Fashion.

    Which Sale Delivered Greater Value For Consumers?

    Since DataWeave has extensive data on both the pre-Diwali sale (held between 4th and 9th of October), and the Diwali season sale (held between 12th and 18th October), we compared prices to identify which of the sale events offered more attractive discounts across categories, sub-categories and products.

    While the discount levels were generally consistent across most sub-categories, only varying by a few percentage points, we identified several sub-categories and products that displayed a large variation in the absolute level of discount offered.

    As the infographic above shows, Amazon identified women’s formal shoes as a key category in its discounting strategy, which saw its level of discounting triple during the Diwali sale. By comparison, Flipkart doubled its discount in men’s jeans, and Myntra tripled its discounts on Men’s shirts and sunglasses.

    Similarly, during the Diwali sale Amazon, Flipkart and Myntra all offered selected products with an aggressive 40% to 50% discount level.

    Interestingly, Amazon, Flipkart and Myntra all elected to reduce the level of discounts offered on specific products as well. One of the biggest discount moves was Amazon’s reduction on iPhone 6s from 34% to only 4%. Flipkart recorded a similar price move on Adidas originals Stan Smith sneakers (30% to 5%) and Canon EOS 200D DSLR cameras (20% to 8%).

    Market Share Reigns Supreme

    Based on our analysis of the festive season sales, Flipkart’s aggressive approach powered by its multi-billion-dollar funding round enabled it to stave off Amazon’s discounting strategy in the annual eCommerce festive season sales this year, increasing its lead over Amazon India in a market where the total sales is believed to have surged by up to 40 percent over 2016’s sales.

    Based on several reports, Flipkart’s share of total festive season sales appears to have increased from 45 percent in 2016 to 50 percent this year, capturing much of the market up for grabs from a now relegated Snapdeal. Amazon’s market share during a festive sales period that stretched over a month is estimated to have remained steady at 35 percent, though the company reported it saw a 50 percent share in other metrics such as order volume and active customers.

    The key question for both industry analysts and consumers alike is, how much deeper are retailers willing to go in their quest to capture market share at the expense of operating margins?

    If you’re interested in DataWeave’s data aggregation and analysis platform, and how we provide Competitive Intelligence as a Service to retailers and brands, visit our website!

  • Festive Season Sale: Who’s Winning the Great Indian eCommerce Battle?

    Festive Season Sale: Who’s Winning the Great Indian eCommerce Battle?

    In the lead up to October’s Diwali celebrations, almost all major Indian e-retailers had announced mammoth sale events for last week. Resuming the epic battle of India’s online shopping carts during festival seasons, Flipkart, together with Jabong and Myntra, kicked off their five-day-long “Big Billion Days” sales on September 20, while Amazon India‘s “Great Indian Festival” launched the next day.

    The stakes were high as Amazon and Flipkart are more evenly matched this year than ever before, making predicting an eventual winner of these dueling discounters a lot tougher than in previous years.

    At DataWeave, our proprietary data aggregation and analysis platform enabled us to easily assess which e-retailer offered better deals and discounts. Over the last two weeks, we have been consistently monitoring the prices of the top 200 ranked products in Amazon, Flipkart, Myntra, and Jabong, across several sub-categories of Electronics, Men’s Fashion, and Women’s Fashion, encompassing over 35,000 products in total.

    Divergent Discount Strategies

    In our analysis, we bring focus to the additional discounts offered by competing e-retailers during the sale, compared to prices before the sale. This is key, as today’s shoppers often encounter deep discounts on several products even on normal days, which could potentially dampen the value suggested by the large discounts advertised during the sale.

    Based on our analysis, Flipkart clearly adopted a more aggressive pricing strategy this year, establishing a lead over Amazon in average discount percentage for Electronics and Women’s Fashion. Moreover, Flipkart launched additional discounts on a larger number of products across categories. Amazon, though, offered 6.9 percent additional discounts on smartphones compared to Flipkart (6.2 percent), led by 10.7 percent discount on Apple and 7.7 percent discount on Redmi smartphones.

    Flipkart has already reported a doubling of revenue from the sale (which includes sales volumes of Myntra and Jabong) compared to last year, and claimed it accounted for 70 percent of eCommerce sales during these five days — beating Amazon by a considerable margin. Amazon, for its part, reported a “2.5X growth in smartphone sales, 4X increase in large appliances and 7X in fashion sales.”

    The difference in discounting strategies between Amazon and Flipkart is starkly illustrated by their respective highest discounts. Flipkart led the way with a 65.5 percent discount on Vero Moda skirts, a 65 percent discount on Tommy Hilfiger skirts, and 50 percent off Calvin Klein sunglasses.

    By contrast, Amazon’s greatest discounts were an 83.4 percent discount on Redfoot formal shoes, 45.5 percent on Motorola Tablets, a 40 percent on US Polo T-shirts, and a 25.1 percent discount on Puma sports shoes.

    Also, Flipkart hosted a more premium range of products in its assortment compared to Amazon, evidenced by a higher average MRP for its discounted products. Surprisingly, Amazon’s spread of discounted products has the least average MRP in Electronics and Women’s Fashion, compared to all other competitors.

    New Products Break Through the Top 200

    What’s fascinating in this battle of the e-retail giants is the correlation we uncovered between prices and rank. During the sale, as prices dropped on hundreds of products across the board, newer products successfully broke through into the Top 200 ranks for each sub-category. New products in the top 200 ranks had higher discount levels than the ones they replaced.

    This trend was especially pronounced in fashion, where we observed an almost complete overhaul of products filling the Top 200 during the sale period, led by sports shoes in Amazon, Men’s shirts in Flipkart, and Men’s formal shirts in Jabong.

    What About Pre-Sale Prices?

    Another angle we explored was whether (like most of us suspect) e-retailers increase their prices before a sale, only to reduce them during the sale, so they can advertise higher discounts. We observed that all e-retailers did increase their prices for an albeit small set of products before the sale.

    While the number of products where the prices increased for each website prior to the sales is small, it is interesting to observe that certain brands choose to perform the oldest trick in the retail book even today — raising prices to accentuate the degree of discount during the sale period, something shoppers need to keep an eye out for.

    A Sign of Things to Come?

    Based on our analysis, Flipkart has recognized the threat from Amazon and has approached this year’s “Big Billion Days” sale aggressively. It has dug deep into its freshly funded pockets, and offered better discounts for a larger set of products across most categories, in its attempt to lock down a greater market share in the burgeoning Indian eCommerce space.

    Amazon, though, has continued to maintain a firm grip on the Indian consumer, having achieved tremendous growth in specific categories during the sale.

    What’ll be interesting now is to see how these pricing strategies impact company revenues and margins, and how this will shape the soon-to-follow Diwali sales in mid-October.

    If you’re intrigued by DataWeave’s data aggregation and analysis technology, and would like to learn more about how we help retailers and brands build and maintain a competitive edge, please visit our website.