Tag: pricing intelligence

  • 2021 Cyber Weekend Preliminary Insights

    2021 Cyber Weekend Preliminary Insights

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

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

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

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

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

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

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

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

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

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

    Electronics Category Analysis

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

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

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

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

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

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

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

    Apparel Category Analysis

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

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

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

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

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

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

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

    Toys & Games Category Analysis

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

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

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

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

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

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

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

    Pet Toys Category Analysis

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

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

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

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

    In Conclusion

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

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

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

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

  • As Value Shopping Soars, Pricing Matters More

    As Value Shopping Soars, Pricing Matters More

    The pandemic’s profound economic impact sparked a surge in value shopping.

    Between February and December 2020, 10 million Americans lost their jobs.1 Due to the pandemic, 36% of lower-income adults and 28% of middle-income adults lost a job or took a pay cut (vs. 22% of upper-income adults). In addition, less than a quarter of lower-income adults have three months’ worth of emergency funds (vs. 48% of middle-income adults and 75% of upper-income adults).2

    These financial shifts matter to retailers, as lower- and middle-income households account for 81% (29% and 52%, respectively) of the total U.S. population.3 Reduced disposable income among households like these has led more consumers to embrace bargain-hunting as a shopping habit.

    We’ll see why price sensitive consumers are influencing retailers to adjust their e-commerce pricing strategies to stay competitive and responsive.

    Consumers seek value across retail categories


    Recent research shows 50% of U.S. adults are more sensitive to product prices now than before the pandemic. Also, 80% of U.S. shoppers are taking at least one action to seek more value when they shop for groceries, prioritizing value for money over speed.4

    According to McKinsey, 65% of consumers cited value as one of their top three reasons they switched brands during the pandemic. Also, 40% of shoppers cited a desire for better value and 38% cited better prices or promotions as reasons for choosing new products.5

    Value-oriented pricing influences purchases, as 70% of consumers said product discounts are more important today compared to a year ago. In addition, 54% of consumers said better online deals and discounts are a leading factor that persuades them to choose a specific retailer.6

    As e-commerce explodes, consumers have greater access to information. They can find the best price across online sites and receive notifications when a product’s price drops before they buy.

    Retailers face intense pricing pressure

    Similar to the aftermath of the 2008 recession, discounters and dollar chain retailers are now thriving as consumers seek superior value for money. Consumers need new products yet they no longer want to spend as much as before.

    That’s why bargain retail is poised to be among the biggest winners in 2021 as consumers get out and socialize more. 7

    Dollar General continues to aggressively expand its omnichannel reach as value shopping soars.8 To stay competitive, Family Dollar has partnered with Instacart on same-day delivery.9 In the fierce grocery sector, hard discounter Aldi’s omnichannel expansion includes a focus on private labels and efficient operational processes that improve cost effectiveness and competitive pricing.10

    Across retail categories, a remarkable 50 million price changes take place online every day. Given consumers’ shift to value shopping, more retailers are changing their pricing to offer discounts both online and in-store.11 However, to avoid costly price wars, more retailers are now taking a renewed approach to their pricing strategies to protect their margins as they compete.

    Specifically, to optimize their e-commerce business for profitable growth, more retailers are modernizing their pricing strategies with data insights.

    Pricing intelligence is retailers’ secret weapon 

    As e-commerce rivalry heats up, retailers must evaluate pricing across more online websites to keep their own prices competitive. This process is becoming increasingly complex and time consuming. Meanwhile, retailers may consider adopting aggressive pricing tactics to win online sales. Yet this pricing strategy is unsustainable over the longer term, as it erodes profit margins.

    Today’s heated e-commerce rivalry means retailers can no longer afford to guess at price points or use the same pricing tactics that relied on before the pandemic.

    That’s why leading retailers turn to data insights for their pricing strategies to stay agile and flexible while rapidly adapting to fluctuations in consumer demand and competitors’ pricing.

    Now more retailers turn to DataWeave’s Pricing Intelligence to drive more revenue and margin.

    To optimize profit margins, retailers use our actionable insights to make pricing decisions according to data-driven recommendations. They also make decisions to protect their desired price perception.

    Monitoring competitors’ pricing moves helps retailers benchmark their own performance, identify gaps and respond to market trends faster. They can also refer to historic pricing data analytics to accurately anticipate and counter rivals’ next moves to gain an edge.

    Retailers that apply data insights to optimize their pricing can drive more online revenue by finding the ideal price consumers are willing to pay while still maintaining profitability. Pricing intelligence can make customer acquisition more efficient, and help retailers grow online sales and market share. 

    Amid greater price sensitivity, retailers’ pricing strategies are evolving to use data to adapt to consumers’ needs and drive e-commerce sales and profitability. DataWeave’s Pricing Intelligence gives retailers an edge so they stay agile and competitive, and maximize e-commerce sales across consumers of all economic levels.


    1. Howland, Daphne. The middle class is stressed and the pandemic isn’t helping. Retail Dive. January 20, 2021.
    2. Howland, Daphne. The middle class is stressed and the pandemic isn’t helping. Retail Dive. January 20, 2021.
    3. Bennett, Jesse, Richard Fry and Rakesh Kochhar. Are you in the American middle class? Find out with our income calculator. Pew Research Center. July 23, 2020.
    4. Maake, Katishi. DoorDash, Instacart Eye Launching Credit Cards. The Harris Poll. April 9, 2021.
    5. Charm, Tamara, Harrison Gillis, Anne Grimmelt, Grace Hua, Kelsey Robinson and Ramiro Sanchez Caballero.Survey: US consumer sentiment during the coronavirus crisis. McKinsey & Company. May 13, 2021.
    6. Berthiaume, Dan. Survey: Deals drive purchases during pandemic. Chain Store Age. March 18, 2021.
    7. Thomas, Lauren. Beauty and bargain retail could be the biggest winners in 2021, Wells Fargo predicts. CNBC. March 25, 2021.
    8. Unglesbee, Ben. Dollar General ramps up expansion of Popshelf concept. Retail Dive. March 19, 2021.
    9. Ryan, Tom. Will same-day delivery pay off for dollar stores? RetailWire. February 8, 2021.
    10. Anderson, George. Should Aldi’s growing store count and digital progress keep rivals up at night? RetailWire. February 11, 2021.
    11. Berthiaume, Dan. Survey: Deals drive purchases during pandemic. Chain Store Age. March 18, 2021

  • Similarity matching keeps retailers competitive: Know your rivals

    Similarity matching keeps retailers competitive: Know your rivals

    Soaring e-commerce growth has made retail more crowded, complex and competitive. Now retailers face an urgent need to keep an eye on more rivals with potential substitute products to maximize their own e-commerce growth.

    Consider these recent figures, which illustrate online shoppers’ abundance of product choices:
     

    • 24% year-over-year increase in direct-to-consumer (DTC) brands in the U.S. alone was estimated for 2020 as more brands bypass retailers1
    • 55% of shoppers have purchased private label in the past year and many retailers are investing more in their own brands2
    • 110% average increase in small retailers’ 2020 online holiday sales, as more players launched new e-commerce shops during the pandemic3
    • 39% of U.S. consumers have changed brands, with the level of brand switching doubling in 2020 compared to 2019, especially among Gen Z and Millennial consumers, as loyalty declines4

    These statistics prove that in 2021 retailers need to navigate more online players and products. Now retailers need a new approach to stay on top of market trends to keep their e-commerce strategies competitive, profitable and attractive to discerning online shoppers. 


    Retailers reduce the risk of substitutes with similarity matching

    In response to online crowding, more leading retailers are turning to similarity matching. Similarity matching is a type of retail analytics that scour global e-commerce sites to find products that exactly match a specific item as well as products that closely match it. Similarity matching insights have grown in strategic significance because they increase retailers’ visibility into potential substitute products, so they can respond to all rivals’ moves with greater agility and efficiency to stay competitive.


    In terms of e-commerce applications, similarity matching helps retailers gather insights on potential substitute products so they can adjust their pricing and assortment strategies accordingly. Retailers can align their pricing with rivals’ pricing moves for similar items to protect their margins and maximize profitability. They can also make informed assortment decisions, including which product mix of bestsellers, unique items and private labels could optimize their online sales performance.

    Online shoppers search for products differently across different categories

    Consumer behavior plays a role, as online search habits differ across product categories, which influences the type of similarity matching retailers need. For example, categories like fashion, toys, home and kitchen work best with similarity matching based on text and images. In these highly-visual categories, consumers can quickly determine whether a product fits the design and aesthetic they are looking for. As a result, e-commerce product titles, descriptions and product images play a big role in consumers’ purchase decisions.

    By contrast, consumer electronics and furniture are categories in which consumers tend to seek specific product attributes, such as a certain level of resolution for their high-definition TV or a couch with particular dimensions so it fits their living room. For these types of products, consumer purchases are driven by product specifications, so similarity matching takes into account their specific needs as well as a degree of tolerance for exact or near-similar attributes across online competitors.

    Expect intense e-commerce rivalry in 2021

    As more consumers shop online, they are increasingly informed by online product comparison information. A wide variety of product choices means consumers can substitute similar goods with ease, especially if a particular item is out-of-stock. Perceived product differentiation, price sensitivity and private labels can also influence consumers’ purchase decisions.

    Across categories, e-commerce growth is outpacing total retail growth. When competition is this fierce, there is an increased risk that numerous and aggressive players will drive down profit margins. Leading retailers are now seizing opportunities to earn consumer loyalty. Using similarity matching helps retailers by offering in-demand products that consumers will actually buy and deliver exceptional online experiences to prevent shoppers from switching to rivals and their comparable products.

    Similarity matching lets you stay competitive

    As e-commerce traffic and rivalry increase, similarity matching helps retailers stand out and serve online shoppers more effectively.

    Retailers gain visibility into their entire competitive landscape to keep their e-commerce strategy responsive to shifts among consumers and rivals. By knowing the full scope of potential substitute products available online, retailers can keep their pricing and assortment strategies in line with rivals’ to reduce their risk of losing sales to rivals, and boost their top line, profitability and cost savings.

    The data insights give retailers the flexibility they need to align with online shoppers’ different needs across categories. As a result, retailers can use similarity matching to boost agility and gain a competitive advantage by adapting to online shoppers’ needs, winning their sales and fueling e-commerce growth.DataWeave’s similarity matching capability lets clients


    1 US Direct-to-Consumer Ecommerce Sales Will Rise to Nearly $18 Billion in 2020. eMarketer. April 2, 2020.

    2 Ochwat, Dan. Shopper study: Private brands purchased because they’re preferred. Store Brands. February 24, 2021
    3 Miranda, Leticia. Small businesses who pivoted to e-commerce saw record sales during Black Friday weekend. December 1, 2020.
    4 Charm, Tamara, Harrison Gillis, Anne Grimmelt, Grace Hua, Kelsey Robinson and Ramiro Sanchez Caballero. Survey: US consumer sentiment during the coronavirus crisis. McKinsey & Company. March 24, 2021.