The DataWeave Blog

Category: Historical pricing analytics

India’s Black Friday 2025 Decoded: Discount Analysis and Brand Performance Across Major E-commerce Platforms
Black Friday has evolved from a purely Western retail phenomenon into a global shopping event. India is no exception. While the country celebrates its own mega sale events like the Great Indian Festival and Big Billion Days, Black Friday has carved out its own space in the Indian retail calendar. E-commerce in India is expected to reach $325 billion by 2030, with festive shopping seasons driving significant portions of that growth.

So how did Indian retailers and brands navigate Black Friday 2025? At DataWeave, we analyzed pricing trends across four major categories: Consumer Electronics, Home & Furniture, Health & Beauty, and Apparel. Our AI-powered retail intelligence platform tracked nearly 128,000 SKUs across leading platforms including Amazon India, Flipkart, Myntra, and others, revealing how the Indian market approached discounting and brand visibility during this high-stakes shopping period.

Our Methodology

DataWeave monitored average discount percentages across major Indian e-commerce platforms during two distinct periods:
- Pre-Black Friday: Up to November 23, 2025 – capturing early promotional activity and baseline pricing
- Black Friday Week: November 24 – December 1,2025 – spanning Thanksgiving week through Black Friday (November 28) and Cyber Monday (December 1)
We analyzed top-ranked products across subcategories on major retail sites, alongside Share of Search data, a metric that measures brand visibility by tracking which brand names appear in the top 20 search results for high-intent keywords.

Here’s a quick look at the overall discounts this Black Friday in India:

Consumer Electronics

Consumer electronics remain a cornerstone of Black Friday shopping in India, with smartphones and laptops driving significant online sales. Our analysis of 20,439 SKUs reveals distinctive discount patterns across subcategories.

Subcategory Discount Analysis

The category averaged 23.2% pre-Black Friday discounts with an additional 0.5% during Black Friday Week. Drones and TVs led pre-sale discounting at 47.1% and 45.2% respectively, suggesting retailers wanted to clear high-ticket inventory ahead of the main event. Tablets (25.2%) also saw aggressive pre-sale pricing. During Black Friday Week, Earbuds saw the most substantial additional discounts at 1.1%, while categories like Laptops and Smartphones, already heavily discounted, had minimal incremental price cuts at 0.2%.

Share of Search: Brand Visibility Trends

The most notable is Cofendy, electronics accessories and speaker brand, that saw the share of search rise from 1.4% pre Black Friday to 8.2% during the event. Realme followed with a solid 2.3% gain, reinforcing its position as a rising smartphone brand. Smart gadget brand Hammer also saw visibility increase by 1.4% at par with OnePlus, Fastrack, HP and Asus.

Samsung saw the highest brand visibility with share of search at 9.6% pre-event and 9.5% during Black Friday week, despite seeing a small drop in visibility. Audio brand Boat saw a visibility drop by 0.8%, while Xiaomi saw the share of search drop by 0.1%. This shift suggests that Indian consumers were drawn to newer brands and compelling deals across computing and mobile devices during the sale period.

Health & Beauty

The Indian beauty and personal care market is experiencing rapid growth, expected to reach $30 billion by 2027. Black Friday has become an important sales window for beauty brands and retailers. Our analysis of 19,854 SKUs reveals distinct patterns.

Subcategory Discount Analysis

The category averaged 17% pre-Black Friday discounts with an additional 0.4% during Black Friday Week. Beard Care led early discounting at 21.3%, reflecting strong pre-sale positioning in men’s grooming. Conditioner (17.2%), Makeup (16.9%), and Moisturizer (16.9%) also saw solid baseline promotions. During Black Friday Week, Makeup and Sunscreen saw the highest additional discounts at 0.5% each, while Electric Toothbrush and Toothpaste maintained modest incremental discounts at 0.2%.

Share of Search: Brand Visibility Trends

Affordable and emerging beauty brands dominated during Black Friday in India. Kellsie (beauty tools brand) surged from 1.6% to 6.5%. Classic mass-market brands like Pond’s (+3.4%) and Parachute Advanced (+2.8%) also performed strongly, alongside men’s grooming favorite Beardo (+1.6%). Other popular brands like Maybelline, Tresemme, Vaseline, all saw share of search and visibility increase during Black Friday.

Skincare brand Minimalist made a notable entry, jumping from 0% to 2.0% visibility. The flip side? Premium international brand L’Oréal Paris dropped from 8.3% to 6.5%, losing visibility during Black Friday.

Apparel

Our analysis of 57,537 SKUs reveals interesting discount dynamics.

Subcategory Discount Analysis

The category averaged 14.3% pre-Black Friday discounts with an additional 0.1% during Black Friday Week. Men’s Swimwear and Men’s Athleisure led pre-sale promotions at 22.2% and 18.5% respectively, while Women’s Swimwear and Women’s Shoes also saw strong pre event discounts at 19.3% and 17.6%.

Black Friday Week saw minimal incremental discounting across all subcategories, with most adding just 0.1-0.3%. The relatively subdued incremental discounting indicates that early birds captured the best deals, or that margins were already stretched from pre-sale promotions.

Share of Search: Brand Visibility Trends

Pepe Jeans dominated visibility, surging from 7.4% to 24.6%, a staggering gain that represents the largest visibility increase across all categories. Jockey also performed strongly with a 6% gain, solidifying its position in innerwear.

On the flip side, athletic and footwear stalwarts faced headwinds: Speedo dropped 1.4% and Bata fell 1.1%. This data suggests that during Black Friday 2025 in India, denim and lifestyle fashion brands invested heavily in promotional visibility, capturing massive mindshare at the expense of traditional athletic and footwear brands.

For brands and retailers navigating India’s increasingly competitive e-commerce landscape, the 2025 Black Friday data reveals a critical insight: pre-sale positioning matters more than Black Friday Week discounting. Early promotional investment and visibility campaigns delivered far greater returns than late-stage price drops, fundamentally reshaping how brands should approach this shopping event.

Want to understand how DataWeave’s retail intelligence platform can help your business make data-driven decisions during peak sales events? Contact us to learn more about competitive insights, price intelligence, assortment analytics, content analytics, and digital shelf analytics.

Check out our analysis on Black Friday 2025 Pricing and Discount trends in the USA, Canada, UK, and Germany. Follow our blog for more insights on retail pricing trends, brand visibility analysis, and data-driven commerce intelligence.
December 19, 2025
Black Friday Canada 2025: Comprehensive Pricing Analysis Reveals Strategic Discount Patterns Across Consumer Electronics and Home Categories
Black Friday 2025 marked another significant shopping event for Canadian consumers, with retailers deploying sophisticated pricing strategies to capture holiday spending. Online and in-store spending on Black Friday reached an estimated $865 million in Canada, which marked a 6% increase compared to last year.

At DataWeave, we analyzed Black Friday 2025 pricing dynamics across two major categories in the Canadian market: Consumer Electronics and Home & Furniture. Our AI-powered pricing intelligence platform tracked approximately 16,000 SKUs across leading Canadian retailers like Target, Walmart, Wayfair, Home Depot, Amazon, Best Buy, Loblaws, Metro and more, uncovering distinct patterns in how brands and retailers structured their promotional calendars this year.

Our Methodology

DataWeave monitored pricing and discount trends across Canadian retailers during two key timeframes:
- Pre-Black Friday Period: Up to November 23, 2025 – establishing baseline promotional activity and early holiday deals
- Black Friday Week: November 24 – December 1, 2025 – spanning Thanksgiving through Black Friday (November 28) and Cyber Monday (December 1)
Our dataset included top-performing products across multiple subcategories on major Canadian retail platforms. We also tracked Share of Search metrics, measuring brand prominence by analyzing which brand names appeared in the top 20 search results for high-value keywords during each period.

Black Friday 2025 Canada: Overview

Here’s how average discounts compared between the Pre-Black Friday period and Black Friday Week:

Key Finding: Canadian retailers front-loaded their promotional strategy significantly, with Pre-Black Friday discounts averaging 16.3% across categories. The additional lift during Black Friday Week was modest at 1.4%.

Consumer Electronics

Consumer electronics consistently drives Black Friday traffic, and Canadian retailers delivered compelling early-season value. Our analysis of 11,772 SKUs reveals nuanced subcategory performance.

Subcategory Discount Breakdown

Consumer Electronics averaged 13.6% discounts in the Pre-Black Friday period, with Black Friday Week adding 1.7%. Audio & Video dominated early promotional activity at 23.8%, signalling retailers’ intent to clear inventory ahead of the main event. Wearables followed at 16.9%, likely timed to capture gift-buying momentum.

During Black Friday Week, Audio & Video maintained leadership with an additional 2.5% discount, the highest incremental lift in the category. Meanwhile, Computers and Gaming, already positioned at modest pre-sale discounts of 6.2% and 6.4%, saw minimal additional movement, suggesting constrained inventory or deliberate pricing discipline in these segments.

Share of Search: Brand Visibility Trends

Our Share of Search data reveals which brands gained or lost prominence during Black Friday Week:

Audio brands dominated visibility gains during Black Friday Week. Beats by Dr. Dre nearly tripled its Share of Search from 3.1% to 9.2%, showing the strongest gains. Visibility for Dutchman climbed 3.6%. Motorola and Samsung also captured increased search prominence with gains of 2.5% and 2.2% respectively.

Conversely, some established tech brands experienced visibility declines. Gaming brand Viprtech by 2.9%. Asus declined by 1.6%, and SanDisk dropped by 1.3%.

Home & Furniture

Home & Furniture showed the most aggressive early discounting of any category in our Canadian analysis. Tracking 4,362 SKUs, we found retailers heavily promoted home goods well before Black Friday weekend.

Subcategory Discount Breakdown

Home & Furniture led all categories with Pre-Black Friday discounts averaging 23.5%, but Black Friday Week added only 0.7%, the smallest incremental discount in our entire study. Kitchenware saw extraordinary pre-sale discounts of 43.2%, the highest in any subcategory we tracked. Bedding followed at 33.6%, while Furniture reached 24.3%. These deep early discounts likely aimed to drive early conversions and manage bulky inventory ahead of peak logistics constraints.

During Black Friday Week, additional discounting remained minimal across the board. Bedding posted the highest lift at 1.1%, while Kitchenware saw just 0.4%. The data suggests Canadian home goods retailers viewed the pre-sale period as their primary promotional window, with Black Friday serving more to sustain momentum than deliver new value.

Share of Search: Brand Visibility Trends

Mattress brand Zinus led gains with a 3.9% increase, positioning itself as a value-focused furniture leader during the sale period. Cuisinart climbed by 1.5%, suggesting strategic amplification of this established kitchenware brand.

Most home brands maintained relatively stable visibility throughout the sale period. Safavieh and Dorel showed essentially no change, while Better Homes & Gardens and Viscologic experienced only minor declines of 0.1% and 0.2% respectively.

Want to understand how DataWeave’s pricing intelligence platform can help your business make data-driven decisions during peak sales events? Contact us to learn more about competitive insights, price intelligence, assortment analytics, content analytics, and digital shelf analytics.

Check out our coverage on Black Friday 2025 across US, UK, and Germany. Follow our blog for more insights on retail pricing trends, brand visibility analysis, and data-driven commerce intelligence.
December 19, 2025
Black Friday 2025 Germany: Full Analysis of Discount Trends and Brand Search Visibility Across Key Categories
Black Friday 2025 solidified its position as a major retail event in the German market. German consumers demonstrated an average Black Friday budget of €317, the highest among select European countries.

The German market, however, exhibited unique consumer behavior patterns during Black Friday 2025. Rather than meticulous planning, 59% of German shoppers allowed deals to inspire their purchases, compared to just 32% who shopped with predetermined lists and budgets. This spontaneous yet budget-conscious approach distinguishes German consumers from other markets, where FOMO-driven purchasing tends to dominate.

Against this backdrop of rational deal-seeking and regional diversity, how did retailers and brands perform across key categories this Black Friday?

At DataWeave, we conducted a comprehensive analysis of Black Friday 2025 discounting trends across five major categories in the German market: Consumer Electronics, Home & Furniture, Health & Beauty, Grocery, and Apparel. Our AI-powered pricing intelligence platform monitored over 16,000+ SKUs across leading German retailers like Amazon, Aldi, Douglas, Nutritienda, Carethy, Bofrost, and more, revealing fascinating patterns in how retailers and brands approached this year’s sale season.

Our Methodology

For this analysis, DataWeave monitored average discounts across leading German retailers during two distinct periods:
- Pre-Black Friday: November 6 – November 23, 2025 – capturing early holiday deals and baseline pricing
- Additional Discounts During Black Friday Week: November 24 – December 1, 2025 – covering Thanksgiving week through Black Friday (November 28) and Cyber Monday (December 1)
Our sample encompassed the top-ranked products across subcategories on major retail sites. We also analyzed Share of Search data, which measures brand visibility by monitoring which brand names appear in the top 20 search results for critical keywords.

Black Friday 2025 Germany: The Big Picture

Our analysis covered 16,653 SKUs across five major categories. Here’s the snapshot of average discounts during the Pre-Black Friday period compared to Black Friday Week:

Key Insight: The German market presented a notably different discounting pattern compared to other markets. Pre-Black Friday discounts averaged 7% across all categories, with Black Friday Week adding 5.1% on average. Unlike the UK and US markets where retailers front-loaded promotions heavily, German retailers took a more balanced approach, with several categories actually seeing higher discounts during the main Black Friday Week.

Beauty led pre-sale discounts at 10%, followed by Electronics at 9.3%. Consumer electronics stood out with the highest Black Friday Week discounts at 9.4%, slightly exceeding even the pre-sale period at 9.3%.

Shopping Behavior Patterns: The relatively modest discount levels reflect the rational, value-oriented approach of German consumers. With the majority of shoppers setting budgets between €100-€299 and prioritizing wish fulfillment over impulse purchases, German retailers focused on strategic discounting rather than aggressive margin erosion.

Consumer Electronics

Consumer electronics dominated German Black Friday interest, with 77% of German shoppers most interested in electronics deals, making it the most anticipated category during the sales period. Our analysis of 2,077 SKUs reveals how discounts varied across subcategories and which brands dominated search visibility in this highly competitive category.

Subcategory Discount Analysis

This was one of the few categories where Black Friday Week discounts matched or exceeded pre-sale levels. Wearables led pre-sale discounting at 16.3%, followed closely by Audio & Video at 15.8%. During Black Friday Week, these categories saw additional discounts of 12.2% and 12.4% respectively.

The standout performer was Home Automation, which nearly doubled its additional discount from 7.2% to 13.9% during Black Friday Week. Mobile Devices saw additional discounts dropping from 13.4% pre-sale to 7.1% during Black Friday Week. Meanwhile Gaming doubled additional discounting from 2.1% to 4.3%.

Share of Search: Brand Visibility Trends

Our Share of Search analysis reveals significant shifts in brand visibility during Black Friday Week:

HP saw the highest share of search across Black Friday at 10.5% pre event and 11.6% during the event. Apple led with a 4.7% increase in visibility, jumping from 1.6% to 6.3%. Asus followed at 4.6%. Motorola surged 3.6 %, while wearables brand Fitbit gained 1.7%.

In stark contrast, Logitech dropped by 7.8 %, Beats fell 6.2 %, and SanDisk declined 5.5 %. Computer manufacturers Dell and Acer also struggled, falling 2.5 and 2.3 % respectively.

Home & Furniture

The Home & Furniture category in Germany showed unique discounting behavior compared to other markets, with additional Black Friday Week discounts (6.7%) actually exceeding Pre-Black Friday levels (6.1%). Our analysis of 1,403 SKUs shows how discounts were distributed across subcategories.

Subcategory Discount Analysis

Kitchenware led pre-sale discounts at 8.7%. Decor surged from 5% to 7.5%, lighting jumped from 5% to 6.9%, and bedding more than doubled from 3.2% to 6.6%. These substantial increases suggest strategic timing to capture consumer attention during peak shopping days.

Share of Search: Brand Visibility Trends

Mattress brand Slumber Solutions saw the highest share of search at 21.8% pre event and 26.1% during Black Friday week. Meanwhile, another mattress brand Swedrea led all brands with a remarkable 10.8% surge in visibility, jumping from 8.8% to 19.6%. Budget-friendly furniture brand Clickbin gained 9.2%, while window treatment brand Sun Zero increased 9% and home textiles brand Safavieh surged 8.6%.

Premium and established brands also performed well: Caraway Home (cookware) rose 6.6%, mattress brand Serta gained 5.3%, and Slumber Solutions added 4.4%. Royal Gourmet, specializing in outdoor cooking equipment, gained 2.0%.

However, several mid-tier brands faced steep declines. Addison Rugs dropped 6.9% from 8.5% to just 1.6%, while Sunlifer fell 6.8 % and Maxax declined 6.4 %.

Health & Beauty

Our analysis of 6,474 SKUs reveals subcategory-level insights and dramatic brand visibility shifts that highlight the evolving German beauty landscape.

Subcategory Discount Analysis

Pre-Black Friday discounts averaged 10%, with Black Friday Week adding 4.5% on average. Fragrance led pre-sale discounting at 11.6%, positioning perfumes and colognes as attractive early holiday purchases. However, Fragrance saw the smallest Black Friday Week addition at just 2.8%.

Hair Care and Skincare both showed strong performance across both periods, with Hair Care at 11.1% pre-sale and 4.9% during Black Friday Week, while Skincare registered 10.9% and 5.1% respectively. Skincare’s 5.1% Black Friday Week discount was the highest in the category.

Men’s Grooming stood apart with notably lower discounts at 3.3% pre-sale and 2.6% during Black Friday Week, suggesting either tighter margins in this subcategory or strategic positioning at different price points.

Share of Search: Brand Visibility Trends

L’Oréal Deutschland GmbH emerged as the most visible brand, surging from 37.7% to 51.9%, (+14.2). German pharmaceutical cosmetics company Medicos Kosmetik GmbH & Co. KG gained 4.4 %. Clinique gained 3.3 %, and French luxury brand Sisley added 3.1 %, German natural cosmetics brand Weleda rose 2.7 %, and Japanese prestige brand Shiseido gained 2.5 %.

The flip side? K-beauty brands and some international names faced significant challenges. Viral make-up brand Tirtir experienced the steepest decline visibility, dropping by 9.2 %. Aveda fell 6.2 %, Elizabeth Arden dropped 5.8 %, and Beauty of Joseon declined 3.8 %. German pharmacy brand Mi.to. Pharm GmbH lost 4.3 %, while Israeli makeup brand GA-DE fell 3.3 %.

The data reveals a clear German preference for European beauty heritage, pharmaceutical-grade cosmetics, and established prestige brands during Black Friday, rather than trendy K-beauty products or mid-tier international brands.

Grocery

While Grocery typically sees more modest discounts compared to discretionary categories, the German market showed interesting patterns with Black Friday Week discounts (3.5%) actually exceeding Pre-Black Friday levels (2.6%). Our analysis of 4,378 SKUs shows how German retailers approached promotions across essential and indulgent subcategories.

Subcategory Discount Analysis

Pre-Black Friday discounts averaged just 2.6% in grocery. But Black Friday Week saw this surging to 3.5%, an increase that represents the highest proportional jump among all categories.

Pet Products and Household Essentials led discounting, with Pet Products at 4.6% pre-sale and an additional 5.5% during Black Friday Week. Meanwhile Household Essentials registered 4.9% and 5.4% respectively.

Beverages showed particularly strong Black Friday Week performance, jumping from 3.3% to 5.3%, while snacks doubled from 1.7% to 3.4%. Fresh categories maintained minimal promotional activity consistent with perishable inventory constraints: Meat & Seafood saw negligible discounts (0.6% pre-sale, 0.4% Black Friday Week), while Fresh Produce actually decreased from 2.4% to 2% during the main event.

Share of Search: Brand Visibility Trends

365 by Whole Foods saw the highest share of search at 9% pre event and 12% during Black Friday week. But Sprite led all brands with a 5.1% surge in share of search. Meanwhile, sister brand Coca-Cola experienced one of the steepest declines in our analysis, with visibility plummeting from 6.0% to just 0.1%. Fanta maintained modest search growth at 0.5 %. This stark divergence between two brands from the same parent company suggests vastly different promotional strategies during Black Friday Week.

Specialty and organic food brands performed well: Amy’s (organic/natural foods) gained 3.6 %, while spice brand McCormick surged 3.1 %. Pet food brand Nutro gained 1.7 %, while value-oriented Great Value added 0.8 %.

Snack brand Planters gained 0.4 %. On the decline side, Organic Valley dropped 2.8 %, Kraft Mac & Cheese fell 2.4 %, and Swanson’s declined 1.1 %.

Apparel

Apparel in the German market showed modest promotional activity compared to other markets, with Pre-Black Friday discounts averaging 5.9% and Black Friday Week at 5.2%. Our analysis of 2,321 SKUs reveals interesting patterns across fashion segments in the German market.

Subcategory Discount Analysis

Footwear dominated discounting in both periods, with an impressive 23.3% pre-sale discount, and 15% additional discount during Black Friday Week. Men’s Clothing followed at 12.5% pre-sale, with additional 7.5% during Black Friday Week.

Activewear presented a unique pattern, with discounts increasing from 7.2% pre-event to additional 9.1% during Black Friday Week: one of the few subcategories to show higher discounts during the main event. Plus Size Clothing saw minimal promotional activity at 0.5% pre-sale and 0.7% during Black Friday Week, the lowest discounts in the entire category.

Share of Search: Brand Visibility Trends

Danish fashion brand Jack & Jones experienced an unprecedented surge with a staggering 19.4% gain in visibility. Sister brand Vero Moda (also owned by Jack & Jones’ parent company Bestseller) maintained flat visibility at 7.1%. Footwear brand Chaoren gained 7%. Meanwhile activewear giant Under Armour rose by 5%.

However, established sportswear giants suffered dramatic visibility losses. Adidas experienced an 11.6% decline in share of search. Dream Pairs saw visibility drop by 10.2%, Puma fell 8.4%, and plus-size brand Just My Size declined by 3.8 %.

Want to understand how DataWeave’s pricing intelligence platform can help your business make data-driven decisions during peak sales events? Contact us to learn more about competitive insights, price intelligence, assortment analytics, content analytics, and digital shelf analytics.

Check out our analysis on Black Friday Pricing and Discount trends in the USA and UK. Follow our blog for more insights on retail pricing trends, brand visibility analysis, and data-driven commerce intelligence.
December 16, 2025
Black Friday 2025 UK: In-Depth Analysis of Discount Strategies and Brand Performance Across Major Categories
Black Friday 2025 saw British shoppers spend an average of £430 each this year representing a £91 increase from last year and totaling over £10.2 billion across the sales period.

The 2025 sales event arrived at a pivotal moment for UK retail. Retail sales fell 1.1% in October 2025 as consumers held back spending in anticipation of Black Friday promotions, according to the Office for National Statistics. Over 2 in 5 UK adults participated in Black Friday shopping, with 45% planning to pick up Christmas gifts at a discount, according to a Barclays study.

Against this backdrop of cautious optimism and strategic consumer behavior, how did retailers and brands perform across key categories this Black Friday? At DataWeave, we conducted a comprehensive analysis of Black Friday 2025 discounting trends across five major categories in the UK market: Consumer Electronics, Home & Furniture, Health & Beauty, Grocery, and Apparel. Our AI-powered pricing intelligence platform monitored over 71K SKUs across leading UK retailers like Costco, Selfridges, Boots, Debenham’s, Carethy, Argos, John Lewis, Amazon, and more, revealing fascinating patterns in how retailers and brands approached this year’s sale season.

Our Methodology

For this analysis, DataWeave monitored average discounts across leading UK retailers during two distinct periods:
- Pre-Black Friday: November 6 – November 23, 2025 – capturing early holiday deals and baseline pricing
- Additional Discounts During Black Friday Week: November 24 – December 1, 2025 – covering Thanksgiving week through Black Friday (November 28) and Cyber Monday (December 1)
Our sample encompassed the top-ranked products across subcategories on major retail sites. We also analyzed Share of Search data, which measures brand visibility by monitoring which brand names appear in the top 20 search results for critical keywords.

Black Friday 2025 UK: The Big Picture

Our analysis covered 71,642 SKUs across five major categories. Here’s the snapshot of average discounts during the Pre-Black Friday period compared to Black Friday Week:

Key Insight: Pre-Black Friday discounts were substantial across all categories. This suggests UK retailers front-loaded their promotions to capture early holiday shoppers, with additional discounts during Black Friday Week adding to the baseline discounts already in place. The extended promotional period transformed Black Friday from a single-day event into a month-long campaign, with 60% of UK shoppers beginning their deal searches as early as October.

Consumer Electronics

Consumer electronics remains a cornerstone of Black Friday shopping in the UK, with technology accounting for 48% of planned consumer spending during the sales period, according to PwC.

AI is transforming how consumers shop for electronics, with AI-driven traffic to retail sites expected to rise 410% year-on-year during the 2025 holiday season. Younger shoppers particularly embraced AI tools, with 17% of Gen Z consumers using AI platforms like Chat GPT and Gemini to source and compare deals. Our analysis of 10,297 SKUs reveals how discounts varied across subcategories and which brands dominated search visibility.

Subcategory Discount Analysis

Pre-Black Friday discounts averaged 11.1% across subcategories, while Black Friday Week saw an additional 2.3% discount on average. Audio & Video products led the pre-sale discounting at 16.3%, indicating retailers were eager to move inventory early in the season.

During Black Friday Week, Home Automation saw the highest additional discount at 2.8%. Wearables and Computers both saw solid 2.5% additional discounts, making them attractive categories during the peak shopping period.

Share of Search: Brand Visibility Trends

Our Share of Search analysis reveals significant shifts in brand visibility during Black Friday Week:

Bose dominated with its Share of Search more than doubling from 11.3% to 23.8%, a remarkable +12.5% gain. Lighting brand Philips Hue followed, gaining by +5.4% in share of search during Black Friday week. Notably, Meta, with it’s range of wearables, stands out for a +3.1% increase in visibility.

Apple’s Share of Search jumped from 10.1% to 16.4%, a gain of 6.4%. At the same time, Fitbit’s share dropped nearly 11%, the steepest decline in the entire electronics category. Meanwhile, Samsung and HP also lost on visibility this Black Friday in the UK.

Home & Furniture

The Home & Furniture category continues to attract UK consumers during Black Friday, though with a more measured discounting approach compared to other categories. Our analysis of 16,487 SKUs shows how discounts were distributed across subcategories.

Subcategory Discount Analysis

Home & Furniture saw Pre-Black Friday discounts averaging 9.1%, with Black Friday Week adding just 1% on average, the lowest additional discount among all categories. Furniture led pre-sale discounts at 13.7%, followed by Bedding at 11.9%. This suggests retailers aggressively promoted larger home goods early in the season to capture deal-seekers.

During Black Friday Week, Kitchenware saw the highest additional discount at 1.9%, making it attractive for holiday cooking and gifting needs. Conversely, Lighting saw minimal additional promotion at just 0.5%.

Share of Search: Brand Visibility Trends

Made.com, the contemporary furniture brand, saw visibility surge during Black Friday with an impressive 8.9% increase. Similarly, emerging mattress brand Vesgantti gained 5.4%. Rug specialist Gooch Oriental also made significant gains with a 4.9% increase.

On the flip side, British heritage brands faced challenges. Both Laura Ashley and Julian Bowen saw share of search drop 2.2%. Premium mattress maker Vispring also declined 2.1%, while French cookware brand Le Creuset fell 1.9%.

Health & Beauty

Health & Beauty has emerged as a growth engine during Black Friday in the UK. The beauty industry is projected to grow 5% annually through 2030 according to a McKinsey survey. The category continues to demonstrate resilience even as consumers show caution in other discretionary categories. Our analysis of 15,816 SKUs reveals fascinating subcategory-level insights and dramatic brand visibility shifts that highlight evolving consumer preferences in the beauty space.

Subcategory Discount Analysis

Health & Beauty presented a unique discounting pattern compared to other categories. Pre-Black Friday discounts averaged 14.4%, the second-highest among all categories. But Black Friday Week discounts were also robust at 6.1%, the highest additional discount increase.

Hair Care led both periods with 16.4% pre-sale discounts and an additional 6.4% during Black Friday Week. Skincare saw the highest Black Friday Week discount at 6.9%, suggesting retailers strategically saved their best skincare promotions for the main event when consumers are actively seeking holiday gift sets. Men’s Grooming stood apart with strong pre-sale discounts of 12.5% but more modest Black Friday Week additions of just 2.3%.

Share of Search: Brand Visibility Trends

The UK Beauty category saw some of the most dramatic Share of Search swings in our analysis.

Himalaya, the Ayurvedic skincare brand, dominated the category with a stunning 16.8% gain. British cult favorite Dr. Pawpaw exploded from 3.7% to 11.8%, a gain that reflects the brand’s growing mainstream appeal. Face the Future, the skincare specialist, also gained significant ground with a 4.9% increase.

Budget-friendly British brand Q+A continued its momentum, rising 4%, while prestige names like Guerlain and Tous each gained 3.8%.

Italian natural beauty brand L’Erbolario saw the steepest decline, with visibility dropping by 9%. Haircare brand Noughty fell 6.1%, and eco-beauty brand So Eco declined by 5.1%.

Grocery

While Grocery typically sees more modest discounts compared to discretionary categories, the sector remains a critical part of Black Friday shopping in the UK, particularly as consumers prepare for holiday entertaining and gifting. Our analysis of 11,979 SKUs shows how UK retailers approached promotions across essential and indulgent subcategories.

Subcategory Discount Analysis

Grocery had the lowest discounts across all categories, reflecting the already-thin margins in food retail. Pre-Black Friday discounts averaged just 5.7%, with Black Friday Week adding only 1.2%. Pet Products led pre-sale discounts at an impressive 13%, significantly outpacing other grocery subcategories.

Beverages and Household Essentials followed with 9.4% and 7.7% pre-sale discounts respectively, and maintained their lead during Black Friday Week with 1.7% and 1.5% additional discounts each. Fresh categories like Meat & Seafood (1.4% pre-sale, 0.6% Black Friday Week) and Frozen Foods (1.7% pre sale, 0.6% additional discounts during Black Friday week) saw minimal promotional activity, consistent with perishable inventory constraints and tight margins.

Share of Search: Brand Visibility Trends

Doritos led with a 7.3% surge in visibility. Pepsi delivered an equally impressive performance, rising from 3.6% pre Black Friday to 10.7% during Black Friday week. Fanta too saw 5.2% gain in share of search.

Conversely, Coca-Cola gained more modestly at 1.6%, while its Sprite brand actually declined 0.9%.

Apparel

Apparel remains a Black Friday staple in the UK and is projected to deliver the strongest year-on-year growth of any UK retail segment this festive season. With clothing accounting for 39% of planned Black Friday purchases, the category represents one of the most hotly contested battlegrounds during the sales period.

Our analysis of 17,063 SKUs, the largest category in our study, reveals interesting patterns across fashion segments that demonstrate both the opportunities and competitive intensity in UK apparel retail.

Subcategory Discount Analysis

Apparel showed the strongest discounting activity throughout the BFCM period among all categories. Pre-Black Friday discounts averaged 17.2%, with Black Friday Week adding 3.5%, making it one of the most heavily promoted categories.

Activewear led pre-sale discounts at an impressive 26.7%, with an additional 4.5% discount during Black Friday week. Plus Size Clothing and Men’s Clothing tied for second place in pre-sale discounts at 21.9% each. Notably, Plus Size Clothing saw the highest Black Friday Week discount at 5.4%.

Women’s Clothing saw robust discounts throughout, with 20.8% pre-sale and an additional 6% during Black Friday Week (the highest additional discount in the category).

Share of Search: Brand Visibility Trends

White Stuff, the British lifestyle brand, saw a 7.2% surge in visibility during Black Friday. Y2K fashion made a statement as Juicy Couture jumped 5.8 %. Fast fashion player Pretty Little Thing gained in visibility by 5.2%. Comfort brands performed strongly, with Skechers gaining 4.5% and activewear specialist Sweaty Betty rising 3.4%. Even premium denim brand Levi’s gained ground, increasing share of search by 2.2%.

However, retail giants faced significant visibility challenges. John Lewis saw the steepest decline in the Apparel category, with share of search dropping by 10.6% during Black Friday week. Fast fashion giant Boohoo declined 2.5%. Premium accessory brand Coach’s share fell 4.9%.

The data suggests UK consumers gravitated toward distinctive brands with clear identities during Black Friday, whether heritage British labels, Y2K nostalgia, or comfort-focused specialists, rather than generalist retailers or fast fashion platforms.

Want to understand how DataWeave’s pricing intelligence platform can help your business make data-driven decisions during peak sales events? Contact us to learn more about competitive insights, price intelligence, assortment analytics, content analytics, and digital shelf analytics.

Check out our analysis on Black Friday 2025 Pricing and Discount trends in the USA.

Follow our blog for more insights on retail pricing trends, brand visibility analysis, and data-driven commerce intelligence.
December 16, 2025
Black Friday U.S. 2025: Comprehensive Analysis of Deals, Pricing Trends, and Brand Visibility Across Key Categories
Black Friday 2025 shattered records once again. U.S. consumers spent a record $11.8 billion online on Black Friday, a 9.1% increase from 2024 and the first time online sales exceeded $11 billion. The National Retail Federation (NRF) projects holiday retail sales (November-December) to grow 3.7% to 4.2% over 2024, with total holiday spending expected to surpass $1 trillion for the first time ever. Against this backdrop of robust consumer spending, how did leading retailers and brands perform across key categories this Black Friday?

At DataWeave, we conducted a detailed analysis of Black Friday 2025 pricing trends across five major categories: Consumer Electronics, Home & Furniture, Health & Beauty, Grocery, and Apparel. Our AI-powered pricing intelligence platform monitored nearly 80,000 SKUs across leading U.S. retailers like Amazon, Walmart, Target, Macy’s, Home Depot, Sephora, and more, revealing interesting patterns in how retailers and brands approached this year’s sale season.

Our Methodology

For this analysis, DataWeave monitored average discounts across leading U.S. retailers during two distinct periods:
- Pre-Black Friday: Up to November 23, 2025 – capturing early holiday deals and baseline pricing
- Additional Discounts During Black Friday Week: November 24 – December 1, 2025 – covering Thanksgiving week through Black Friday (November 28) and Cyber Monday (December 1)
Our sample encompassed the top-ranked products across subcategories on major retail sites. We also analyzed Share of Search data, which measures brand visibility by monitoring which brand names appear in the top 20 search results for critical keywords.

Black Friday 2025: The Big Picture

Here’s the snapshot of average discounts during the Pre-Black Friday period compared to Black Friday Week:

Key Insight: Pre-Black Friday discounts were significant across all categories. This suggests retailers front-loaded their promotions to capture early holiday shoppers, with additional discounts during Black Friday Week adding to the baseline discounts already in place.

Consumer Electronics

Consumer electronics remain one of the most anticipated categories during Black Friday and Cyber Monday. Notably, AI traffic to retail websites grew 805% year-over-year, with consumers using AI tools most frequently for video games, appliances, and electronics categories. Our analysis of 10,356 SKUs reveals how discounts varied across subcategories.

Subcategory Discount Analysis

In Consumer Electronics, Pre-Black Friday discounts averaged 14.6% across subcategories, while Black Friday Week saw an additional 2.6% discount on average. Audio & Video products led the pre-sale discounting at 17.5%, indicating retailers were eager to move inventory early. During Black Friday Week, Audio & Video, Accessories, and Wearables saw the highest additional discounts (2.9-3 %), while Computers and Storage had already been heavily discounted pre-sale, leaving minimal room for further reductions during the main event.

Share of Search: Brand Visibility Trends

Our Share of Search analysis reveals significant shifts in brand visibility during Black Friday Week:

The Takeaway: Our analysis reveals significant shifts in brand visibility during Black Friday Week compared to the pre-sale period. Computing and mobile-focused brands like Apple and Asus gained substantial ground, while audio brands like Logitech, JBL, and Beats saw their visibility plummet. Apple’s Share of Search jumped from 1.58% to 6.2%, a gain of 4.6%, suggesting strong promotional activity or heightened consumer interest. Meanwhile, Logitech dropped nearly 8%, from 9.9% to just 1.2%.

Home & Furniture

The Home & Furniture category continues to be a consumer favorite during Black Friday. Our analysis of 12,610 SKUs shows how discounts were distributed across subcategories.

Subcategory Discount Analysis

Home & Furniture saw Pre-Black Friday discounts averaging 13.9%, with Black Friday Week adding just 1.7% on average, the second-lowest additional discount among all categories. Bedding led pre-sale discounts at an impressive 18.6%, followed by Furniture at 16.4% and Outdoor at 15.1%. This suggests retailers aggressively promoted home goods early in the season to capture deal-seekers.

During Black Friday Week, Bedding maintained leadership with 2.4% additional discounts, while Kitchenware saw the smallest bump at just 0.9%, indicating early promotions had already captured most of the discount opportunity.

Share of Search: Brand Visibility Trends

The Takeaway: The Home & Furniture category saw some of the most dramatic Share of Search swings in our entire analysis. Emerging and value-oriented brands dominated the gains, with Swedrea surging from 8.7% to 19.6%, a remarkable 10.8% increase. Similarly, Clickbin and Costway each gained over 9%. On the flip side, established premium brands like Beautyrest and Livabliss saw sharp visibility declines, dropping over 7-8%.

Health & Beauty

Health & Beauty has emerged as a growth engine during Black Friday. The beauty industry is projected to grow 5% annually through 2030 according to a McKinsey survey. Our analysis of 16,141 SKUs reveals subcategory-level insights.

Subcategory Discount Analysis

Notable finding: Health & Beauty presented a unique discounting pattern compared to other categories. Pre-Black Friday discounts averaged just 7.1%, the second-lowest among all categories. But Black Friday Week discounts were relatively strong at 4.8%. This indicates the Beauty category held back more discounts for the main event.

Notably, Hair Care was the only subcategory across our entire analysis where Black Friday Week discounts (6%) exceeded Pre-Black Friday discounts (4.6%), suggesting retailers strategically saved their best hair care promotions for the big weekend. Fragrance led pre-sale discounts at 13%, making it an attractive early shopping category.

Share of Search: Brand Visibility Trends

Health & Beauty saw some of the most dramatic Share of Search swings in our analysis, driven largely by celebrity-backed brands. Rare Beauty by Selena Gomez exploded from just 1.9% to 13.7%, a whopping 11.8% gain that made it the biggest winner across all categories. Haus Labs by Lady Gaga also surged (+4.1%), while prestige brands like Dior (+2.6%) and Clinique (+2.4%) gained ground.

The flip side? Retailer private labels took a hit: Beauty Finds by ULTA Beauty collapsed from 24% to 13.7% (-10.3%), and Sephora Collection dropped from 19.8% to 16.0% (-3.8%).

Key Takeaway: The Beauty category tells a compelling story about the power of celebrity brands during Black Friday. The Share of Search shifts appear to reflect how retailers and brands recalibrated their promotional focus for Black Friday. Celebrity-driven lines rose sharply in visibility, suggesting stronger placement, promotion, or search prioritization during the sale period. At the same time, private-label ranges from ULTA and Sephora lost ground, indicating a pivot away from house-brand visibility in favor of more spotlighted national and prestige brands throughout the event.

Grocery

While Grocery typically sees more modest discounts compared to discretionary categories, the sector remains a critical part of Thanksgiving weekend shopping. According to the National Retail Federation, grocery stores and supermarkets ranked as the third most popular shopping destination during Thanksgiving weekend, with 40% of consumers making purchases there. Our analysis of 18,823 SKUs shows how retailers approached promotions across essential and indulgent subcategories.

Subcategory Discount Analysis

Grocery had the lowest discounts across all categories, reflecting the already-thin margins in food retail. Pre-Black Friday discounts averaged just 5.2%, with Black Friday Week adding only 1.5%. Household Essentials and Beverages led pre-sale discounts at 6.9% and 6.7% respectively, and maintained their lead during Black Friday Week with 2.2% additional discounts each. Fresh categories like Meat & Seafood (1.4% pre-sale, 1% Black Friday Week) and Frozen Foods (3.3%, 1%) saw minimal promotional activity, consistent with perishable inventory constraints and tight margins.

Key Takeaway: Grocery discounting remains conservative, with shelf-stable and household items seeing the most promotional activity. The Beverages and Household Essentials subcategories, which have longer shelf life and higher margins, were the primary battleground for grocery promotions during BFCM 2025.

Share of Search: Brand Visibility Trends

The Grocery category saw some surprising Share of Search swings during Black Friday Week. Most notably, there was a dramatic divergence between beverage giants: Sprite surged from 1.7% to 6.8% (+5.1%), while Coca-Cola collapsed from 6% to just 0.1% (-5.9%). This stark contrast suggests vastly different promotional strategies or algorithmic visibility changes between the two brands. Private label 365 by Whole Foods Market continued its steady rise, gaining 3%, reflecting ongoing consumer interest in store brands as shoppers seek value.

The Sprite vs. Coca-Cola divergence is one of the most striking findings in our analysis. Additionally, brands like Amy’s (organic/natural foods) and McCormick (spices/seasonings) gained significant visibility.

Apparel

Apparel remains a Black Friday staple and performed strongly this year. Our analysis of 21,749 SKUs (the largest category in our study) reveals interesting patterns.

Subcategory Discount Analysis

Apparel showed strong discounting activity throughout the BFCM period. Pre-Black Friday discounts averaged 13.8%, with Black Friday Week adding 3.8%, the highest additional discount among all five categories. Men’s Clothing and Women’s Clothing led pre-sale discounts at 17.7% and 17.5% respectively, reflecting aggressive early promotions on core apparel. Interestingly, Plus Size Clothing saw the highest Black Friday Week discount at 5.4%, suggesting retailers pushed harder during the main event to drive conversions in this segment. Kids’ Clothing also saw strong Black Friday Week discounts at 4.4%.

Share of Search: Brand Visibility Trends

Apparel saw dramatic Share of Search movements during Black Friday Week. Fashion-forward brands dominated the gains: Madewell surged from 6.9% to 16.1% (+9.2%), while Alice + Olivia jumped from 14.7% to 23.6% (+8.9%). Nike also performed strongly with a 7.1% gain. Conversely, outdoor and athletic brands faced steep declines: The North Face dropped from 18.4% to 5.9%, a massive 12.5% decline, the largest in our entire analysis. Adidas fell 7.7%, Beyond Yoga declined 5.3%, and luxury brand Coach by 5%.

Key Takeaway: The data suggests fashion-forward and lifestyle brands (Madewell, Alice + Olivia, Saint Laurent) gained visibility at the expense of outdoor/athletic brands (The North Face, Adidas, Beyond Yoga). This could indicate that fashion brands invested more heavily in promotional visibility during the sale period.

Want to understand how DataWeave’s pricing intelligence platform can help your business make data-driven decisions during peak sales events? Contact us to learn more about competitive insights, price intelligence, assortment analytics, content analytics, and digital shelf analytics.

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December 9, 2025
Prime Day 2025: Shadow of Rising Prices Over Record Sales
Amazon Prime Day 2025 generated a record-breaking $24.1 billion in US online sales during its extended four-day run (July 8–11, 2025). While the expanded format helped broaden participation, it also diluted the urgency and daily peaks that typically define Prime Day.

Beneath this record-setting performance lies a more complex reality. Persistent inflation, shifting consumer behavior, and rising pricing pressures created a retail environment very different from previous years, one where higher baseline prices often replaced the deep discounts shoppers expected.

To understand these dynamics, DataWeave analyzed pricing and visibility trends across 11,495 products using our proprietary AI platform. The study focused on four major categories – Consumer Electronics, Apparel, Home & Furniture, and Health & Beauty – comparing identical SKUs from Prime Day 2024 and 2025, and tracking changes in both organic and sponsored share of search for leading brands.

The results reveal clear year-over-year price increases: Apparel led with a 9.5% rise, followed by Health & Beauty (7.9%), Consumer Electronics (5.1%), and Home & Furniture (3.9%). In total, 47% of tracked products saw higher prices, indicating that this year’s record sales were achieved in an environment of elevated base pricing rather than deeper discounts.

Multiple converging forces shaped the retail landscape leading into Prime Day 2025, pushing baseline prices higher even before promotions began.
- Supply Chain Pressures: Ongoing disruptions and elevated shipping and production costs continue to shape the cost structure across categories.
- Trade Policy Factors: Recent tariff measures and trade regulations may be contributing to upward pricing trends in certain categories, particularly those with high import dependence such as electronics and home goods.
- Labor and Operating Costs: Rising wages, transportation expenses, and general operating overhead are placing additional pressure on retailer margins and influencing pricing decisions.
- Currency Fluctuations: Shifts in exchange rates continue to add variability to the cost of imported goods, especially in globally sourced categories like electronics and apparel.
These combined pressures created a pricing environment where brands had less room for deep discounting, shaping not just how products were priced, but also how aggressively they were promoted.

To better understand the impact, we compared Prime Day 2025 prices to those from Prime Day 2024 for the same SKUs across major categories. This year-over-year view highlights how elevated baseline prices, driven by the factors outlined above, shaped the shopping experience and promotional strategies.

Consumer Electronics
- JBL prices increased 24% year-over-year, the highest among major electronics brands.
- Amazon’s own brand saw prices increase by 22%.
- Beats saw a significant 9% increase, while Sony and Samsung both experienced 8% price increases. Apple prices went up by 6%, and Google saw a 7% increase.
- Meanwhile, other established brands like LG and Motorola maintained minimal increases at 1%, Lenovo at 2%, Soundcore at 3%, and Bose and Hisense both at 5%.
Apple dominated visibility gains, jumping to 17.2% share of search during Prime Day with a 10.7% growth, likely driven by promotional focus on premium devices. Soundcore also saw significant gains of 10.3%, reaching 15.8% share of search.

LG and Amazon Basics both achieved strong 5.1% growth. Hisense gained 4.7% share with 5% price increases. Samsung and Amazon maintained strong positions with modest gains of 1.9% and 1.3% respectively.

However, several brands lost ground, with Sony declining most significantly by 1.8% share despite its strong market position, followed by Google (-0.5%) and Motorola (-0.4%).

Apparel
- Party Pants showed the highest price increases at 18% year-over-year, followed by casual wear brand Dokotoo at 13%.
- Athleisure brand CRZ Yoga saw prices increasing by 11%, while Under Armour saw prices rise by 10%.
- While Reebok experienced a significant 12% increase, Adidas saw 5% price increase.
- Meanwhile, innerwear brands like Hanes and Cupshe saw minimal price increases at 1%, while Coofandy also saw minimal increases of 1%.
- Amazon’s own Amazon Essentials maintained minimal price increases of 2%, and Jockey saw modest increases of 4%.
T-shirt brand Gildan led share of search gains with 4.0% growth along with a 5% price increase. Party Pants achieved 3.3% growth with 18% price increases, while CRZ Yoga gained 2.8% share and 11% price increases.

Amazon Essentials and Mens’ apparel brand Coofandy both improved share by 2.1%, with Amazon Essentials keeping price increases to just 2% and Coofandy at 1%. Under Armour gained 2.3% share with 10% price increase.

However, several brands lost ground, with Hanes declining significantly by 4.4% while keeping price increases to just 1%, followed by Cupshe (-1.4%) and Blooming Jelly (-0.7%).

Home & Furniture
- Mattress brand Best Price Mattress increased prices 23% year-over-year, the highest in the category.
- Amazon Basics showed 12% price increases, demonstrating strategic private label pricing.
- Home Improvement and Appliances brand Black+Decker saw a pricing increase of 11%.
- Better Homes saw an 8% increase, while most other brands saw price increases between 4-7%.
Appliance brand Acekool led visibility gains with 3.7% growth along with a 5% price increase. Amazon Basics improved significantly with a 3.6% share growth alongside its 12% price increases. Better Homes achieved 3.1% gains with 8% price increases.

Ironck gained 2.6% share with 7% price increases, and furniture brand Furinno improved by 1.5% with 5% price increases. However, several brands lost ground, with Samsonite declining most significantly by 4.4%, Best Price Mattress lost 2.1% share with its massive 23% price increase, and Allewie declined by 1.7% with 4% price increases.

Home goods face elevated pressure from expanded steel and aluminium tariffs increased to 50%.

Health & Beauty
- Minimalist saw prices increase 25% year-over-year, the highest in the category, followed by Tresemme at 20% and Oral-B at 17%.
- Neutrogena increased pricing by 14%, while Sun Bum rose 13% and Viking Revolution 12%.
- Nyx Professional Makeup saw price increases of 10%, Dove and L’Oréal Paris both at 8%, and Maybelline at 7%.
- Value-positioned brands saw modest price increases, with Philips Sonicare (6%), OGX and Banana Boat (both 5%), e.l.f. (4%), and Garnier (3%).
- Notably, Cetaphil, Colgate, and Sensodyne all kept increases to just 1%.
Dove led visibility gains with 9.3% growth along with 8% price increases. Minimalist achieved remarkable 8.1% growth even with the category’s highest 25% price increases, and Maybelline gained 4.9% share with 7% price increases.

Cetaphil improved by 4.8% with minimal 1% price increases, while e.l.f. gained 4.1% share with 4% price increases. However, several established brands lost share, with Oral-B declining most significantly by 9.3% along with 17% price increases, followed by OGX (-7.9%) with 5% price increases, Viking Revolution (-6.5%) with 12% increases, and Philips Sonicare (-5.5%) with 6% price increases.

In Conclusion

Prime Day 2025 underscores the shifting realities of retail, where persistent pricing pressures, evolving consumer behavior, and complex market forces are redefining how promotions are planned and executed. In this environment, success hinges on having the right intelligence at the right time, empowering brands to target promotions strategically, protect margins, and maintain visibility in a crowded marketplace.

As competition intensifies, the ability to anticipate trends and respond with precision will separate market leaders from the rest. At DataWeave, we equip retailers and brands with the insights needed to navigate these changes and make data-backed decisions that drive sustainable growth.

Stay connected to our blog for ongoing analysis of pricing, promotion, and visibility trends or reach out to us today to learn more.
August 11, 2025
Standard Reporting vs. Competitive Intelligence: What Retail Leaders Need to Know
Back in the day, pricing strategies were a lot easier. These days, not only do teams need to have robust standard price reporting workflows, but they also need to have the know-how and tools to gain and act on competitive intelligence. Retail leaders should prioritize automation and strategic thinking and ensure their teams have the tools, processes, and methodologies required to monitor the competition at scale and over the long term.

Retail leaders who recognize the distinction between standard reporting and competitive intelligence are more likely to gain team buy-in, especially when developing pricing strategies that drive results. You can’t be everywhere at once, but you can optimize pricing strategies to stay ahead of the competition.

This article has everything you need to know about the differences between standard reporting and competitive intelligence and how to use both to make your teams more effective than ever!

Understanding the Distinction

Standard price reporting is much like checking the weather to see if it’s stormy before grabbing a raincoat or sunhat. You need to do it to make essential, everyday choices, but it will not help you predict when the next storm is coming. Standard price reporting deals more with the short-term and immediate actions needed as opposed to long-term strategy.

Don’t get us wrong, standard price reporting is still an essential responsibility of a pricing team’s function—but there’s more to it. It is also lower-tech than a competitive intelligence strategy and can rely on route heuristics.

Think of it as data-in, data-out. It deals with pricing operations like:
- Weekly price movements: Seeing which competitors, product categories, and individual items had pricing shifts in the short-term
- Basic price indices: Outlining benchmarks to watch how your own, and your competitors’, products are trending in the market
- Price competitiveness metrics: Setting thresholds that show whether your products are priced below, above, or equal to your competition for general trend reporting
Standard price reporting is fundamental for operational teams that manage price adjustments in the short term. It can also help teams remain agile and reactive to market condition changes.

It’s likely that your team already has standard reporting strategies or tools to help them with tactical execution. But are they harnessing competitive intelligence correctly with your help?

Characteristics of Competitive Intelligence

While standard price reporting is like checking the weather, competitive intelligence is like being a meteorologist who measures atmospheric changes, predicts storms, and scientifically analyzes weather patterns to keep everyone informed and in the know.

Competitive intelligence goes well beyond simply tracking price movements and benchmarking them against a single set of standards. Competitive intelligence helps steer teams in a strategic direction based on insights from the market. It can drive long-term business success and is one of your best tools to ‘steer the ship’ as a retail leader.

Here are some of the essential elements of competitive intelligence:
- Strategic insights: Including but not limited to understanding your competitors’ pricing strategy, promotions, and product positioning
- Market-wide patterns: Identifying trends based on geography, product category, or individual SKU across retailers to inform broader strategies
- Long-term trends: Taking historical market and competitor data and combining it with real-time retail data to predict future price movements as shifts in consumer behavior to inform pricing strategies
The pricing team serves as a critical strategic partner to senior leadership, delivering the cross-functional insights and market analysis needed to inform C-suite decision-making. By equipping executives with a holistic view of the competitive landscape, pricing gaps, and emerging trends, the team empowers leadership to align pricing strategies with broader business objectives.

This partnership enables senior leaders to guide day-to-day pricing operations with confidence—ensuring tactical execution aligns with corporate goals, monitoring strategy effectiveness, and maintaining competitive agility. Through ongoing market intelligence and scenario modeling, the pricing function helps leadership proactively position the brand, capitalize on untapped opportunities, and future-proof revenue streams.

Different Audiences, Different Needs

As mentioned, there is a place for both standard price reporting and competitive intelligence. They have different roles to play, and different teams find them valuable. Since standard reporting mainly focuses on day-to-day shifts and being able to react to real-time changes, operational teams find it most useful.

On the other hand, competitive intelligence is a tool that leadership can use to shape overarching pricing strategies. The insights from competitive intelligence drive operational activities over months and quarters, whereas standard reporting drives actions daily.

To succeed in pricing, you need to rely on a combination of tactical standard reporting and competitive intelligence for long-term planning. With both, you can successfully navigate the ever-fluctuating retail market.

Price Reporting for Operational Teams

Your operational team is responsible for making pricing adjustments that directly impact sales volume. Automated data aggregation and AI-powered analytics can make this process faster and more accurate by eliminating the need for manual intervention.

Instead of spending hours identifying changes, standard reporting tools surface the most critical areas that need attention and recommend adjustments. This helps operational teams react fast to shifting market conditions.

Key functions of standard price reporting include:
- Daily/weekly pricing decisions: Frequent price adjustments based on market trends will help your company remain competitive across entire product categories. With automated, real-time dashboards, your pricing team can monitor broad category-level pricing shifts and make necessary adjustments accordingly.
- Individual SKU management: Not all pricing changes happen at the category level. Standard reporting also allows teams to view price and promotion changes on individual SKUs down to the zip code. It’s important to have targeted, granular insights when a change occurs even on a single SKU, especially because these individual changes are easy to miss. Advanced product matching algorithms can tie together exact products across retailers to monitor items conjointly. By incorporating similar product matching technologies beyond standard reporting, your teams can monitor individual price changes on comparable products.
- Immediate action items: The best standard reporting tools alert pricing teams when there has been a change in competitor pricing and give them recommendations for what to change. If a competitor launches a flash sale or an aggressive discount program, your team should know as fast as possible which product to adjust. Without this functionality, teams can miss important changes or experience a delay in action that results in lost sales or customer perception.
Competitive Intelligence for Leadership

For Senior Retail Executives, Category Directors, and Pricing Strategy Leaders, pricing cannot only be about reacting to individual competitor price changes. Instead, you must proactively think about your market positioning and brand perception. Doing this without a complete competitive intelligence strategy can feel like throwing darts while blindfolded. Sometimes, you’ll hit the target, but mostly, you’ll miss or only come close. Competitive intelligence tools can help you hit that target every time. They leverage big data, artificial intelligence (AI), and predictive modeling to help you derive holistic insights to understand your current positioning relative to the current and future pricing landscape.

Core strategic functions of competitive intelligence include:
- Strategic planning: Competitive intelligence tools can help you forecast competitor behavior, economic shifts, and category-specific patterns you’d otherwise overlook (ex, price drops before new releases, subscription or bundling trends, or seasonable price cycles). Instead of reacting to a change, your team can already have made changes or at least know what playbook to implement.
- Market positioning: Geographic pricing intelligence built into competitive intelligence tools can help you understand variations across locations and optimize multiple channels simultaneously. This can be the foundation of regional pricing strategies that factor in local economies and consumer perception.
- Long-term decision-making: You can use competitive intelligence technology to align your pricing strategy with upcoming seasonal trends isolated using historical data, predicted economic shifts, and changes in customer purchasing behavior. This aggregate view of the pricing landscape will help you step out of the weeds and make better company decisions.
From Data to Strategy – Transforming Basic Price Data

Shifting your focus from isolated, reactive data to broader market trends is the key to going from basic price reporting to real competitive intelligence. Never forget the importance of real-time data, but know it’s your responsibility as a leader to bring a broader viewpoint to operations.

Transforming from basic price data to competitive intelligence involves:
1. Harnessing the data
  - Pattern recognition: Your solution should help you identify repeat pricing behaviors and competitor strategies
2. Figuring out what to do with the data
  - Strategic implications: It should help you understand how your pricing changes will affect customer perception of your brand
3. Doing something with the insights from your data
  - Action planning: The solution should help you create proactive strategies that position you as a market leader, leaving your competition to try to keep up with you instead of vice versa
Leveraging Technology for Competitive Intelligence

Technology is at the heart of leveling up your standard price reporting game. If you want industry-leading competitive intelligence, you can leverage DataWeave’s comprehensive pricing intelligence solution with built-in competitive intelligence capabilities and features for your operational teams.

You can also uncover gaps and stay competitive in the dynamic world of eCommerce. It provides brands with the competitive intelligence they need to promptly adapt to market demand and competitors’ pricing. Stay ahead of market shifts by configuring your own alerts for price fluctuations on important SKUs, categories, or brands, all time-stamped and down to the zip.

And since our platform relies on human-backed AI technology, you can have complete confidence in your data’s accuracy at any scale. If you want to bring a new strategic mindset to your pricing team, consider adding competitive intelligence to your tech stack. If you want to learn more, connect with our team at DataWeave today.
April 20, 2025
Beyond MAP Pricing: Strategic Approaches for Brands and Retailers
Many retailers view minimum advertised pricing (MAP) policies as a necessary evil since they present several challenges for competitive positioning. In an idealistic free market, there wouldn’t be a need for MAP policies, and healthy competition would do the work of setting the final advertised price.

However, MAP policies aren’t beneficial only for brands; they also greatly benefit retailers. This article will examine why MAP pricing can be a strategic advantage for both brands and retailers. We’ll also look at ways brand managers and retail pricing teams can navigate MAP requirements to maintain profitability and safeguard customer trust.

Understanding MAP Fundamentals

Minimum Advertised Price (MAP) is a policy set by brands that requires their sales channels to price the brand’s products at a minimum dollar value. Retailers are free to price the items higher, but the advertised price is never to exceed the minimum threshold.

This agreement is established at the outset of a relationship or new product launch and can change at the brand’s discretion. Consumers typically see only the minimum advertised price when they search for a product across competing retailers. This means retailers need to find other ways to differentiate themselves beyond offering the lowest price.

But a retailer can still effectively price the product at a lower cost to win sales away from the competition. This comes in the form of discounts applied at checkout, bundled deals, or other promotions that affect the final cart but not the advertised price. Only the advertised price must remain within MAP guidelines. This gives retailers a way to set themselves apart from the competition while still protecting the brand.

A minimum advertised price has three central values: one for the brand, one for the retailer, and one for both.
1. Brand or manufacturer: A MAP policy protects the brand’s value and prevents price erosion. If a retailer consistently undercuts a product’s price to make it more competitive, customers may begin to perceive the brand as lower in value over time. It can cause the brand to appear less premium than if prices hold steady. If a customer pays full price one day and then sees the same item advertised at a lower base price the next, it can weaken brand loyalty and cause dissatisfaction.
2. Retailer: Minimum advertised pricing policies prevent retailers from engaging in a pricing war with one another, driving the price of an item down and hurting margins. This race to the bottom is bad for business. Apart from reducing profits, it discourages sellers from investing in marketing and other activities that drive sales. It also means that smaller retailers can compete with larger retailers, effectively leveling the playing field across the market.
3. All parties: The issue of counterfeit and unauthorized sellers on the grey market plagues retailers and brands. One of the most straightforward ways to identify these sellers that undercut prices and damage brand perception is to track who is pricing products outside of agreements. Unauthorized or counterfeit sellers can be identified by establishing a MAP policy and monitoring who sells at the wrong price. Then, official legal action can be taken to prevent those merchants from selling the product.
Brand Perspective

Developing a clear and precise MAP policy is an important option for brands looking to stay competitive. Make sure you outline the minimum advertised price for each product for each sales channel and do so by geography. Write clear instructions on how discounts, promotions, and sales can be applied to the advertised price to avoid misunderstandings later. Ensure you work with your legal team to fill in any gaps before presenting them to retailers.

If you find sellers acting outside the MAP policy, you must act swiftly to enforce your MAP policy. Cease and desist orders are the most common enforcement strategy a brand can use on unauthorized sellers and counterfeiters. But there are legal considerations for authorized sellers, too. You may need to fine the retailer for damages, restrict inventory replenishment until prices have been adjusted, remove seller authorization by terminating the relationship entirely, or escalate to your legal team.

Open communication between the brand and retailer is in everyone’s best interest to ensure minimum pricing is being used. Have explanatory documents available for your retailers’ non-legal teams to reference while they set prices. These can take the form of checklists, video explainers, or even well-informed brand representatives working closely with retail pricing teams. It’s likely that some MAP violations will occur from time to time. The importance your retail partners place on fixing those errors will help you determine how much goodwill you will give them in the future.

Brands can consider rewarding retailers that consistently adhere to minimum advertised price policies. Rewards often take the form of more lenient promotion policies, especially during major holidays like Christmas, Prime Day, or Black Friday. However, it’s never advisable to relax the actual MAP policy to allow one retailer to advertise a lower price year-round.

Retailer Strategies

A retailer can take several approaches to complying with a brand’s MAP policy while still maximizing sales. First, you need a dedicated compliance process spearheaded by compliance specialists or, better yet, enabled by technology. Embedding a process that checks for MAP violations into daily or weekly operations will prevent problems before brands become aware.

Automated price tracking tools can help discover discrepancies so that you don’t accidentally violate a MAP agreement. Make sure MAP training extends beyond your pricing team and includes marketing. Anyone who participates in promotions or events should be made aware of the agreements made with specific brands. Determine if there are alternative promotion methods available to attract customers. You could offer free shipping on certain items, bundle giveaways, or apply cart-wide discounts at checkout.

Monitoring your competition in real time will also help you stay ahead. If you discover a competitor undercutting your prices, bring this to the attention of your brand representative. This can build loyalty with the brand and help prevent lost sales due to market share loss.

Digital Implementation for MAP Compliance

Pricing teams at brands and retailers manually attempting to manage MAP pricing will lag behind the competition without help. They must discover, monitor, and enforce MAP compliance simply and effectively.

Over the past several years, there has been a seemingly exponential proliferation of online sellers, complicating the industry and making it nearly impossible to find and discover all instances of every product you sell. It’s further complicated by marketplaces like Amazon, Walmart, and eBay, which are full of individual unauthorized sellers and resellers.

Implementing a digital tool is the first step to effectively discovering and monitoring MAP compliance, even across these marketplaces. This tool should monitor all competition for you and discover imbalances in pricing parity.

DataWeave’s MAP Violations Merchant Analytics solution has AI-backed software that scours the web for your products. It uses identifiers like UPCs and product titles and compares imagery to find where the product is sold. Our AI-powered image recognition capabilities are especially helpful in identifying inauthentic listings that may be counterfeit products or unauthorized sellers. It also has built-in geographic and channel-specific MAP monitoring capabilities to help with localized enforcement.

The tool can aggregate all this data and present dashboard views of your own and competitors’ pricing that are easy to digest and act on. After all, retailers need to monitor their own MAP compliance as well as the competition’s. Brands can also track competitor sellers’ networks to explore potential new retail partnerships and grow their network reach.

The MAP Violations Merchant Analytics solution has automated violation alerts and advanced reporting built into it. This means you can get real-time alerts instead of pouring through dashboards searching for exceptions each week. For deeper insights, the dashboards provide time-stamped proof of which sellers are undercutting MAP minimums, so you have all the information you need to make a case against them. Discovering repeat offenders is easy with historical trends dashboards that show which sellers have a history of violations.

With all this information on who is violating what—and when—enforcement becomes much more manageable. Send cease and desist orders to unauthorized sellers and start having conversations with authorized sellers acting outside of your agreement. Acting quickly will help prevent hits to your brand’s reputation, price erosion, and lost sales.

DataWeave’s MAP solution gives you the competitive edge to effectively discover MAP violations, monitor market activity, and act quickly when an issue is discovered.

Make MAP Compliance a Strategic Advantage

Basic MAP compliance and enforcement isn’t simply about setting pricing policies anymore. These policies are foundational to brand strategies, maintaining good relationships with retailers, and establishing long-term profitability for your business.

When you let MAP violations go unchecked, it can erode your margins, damage how your customers perceive your brand, and create confusion across channels. Discovering, monitoring, and acting on MAP violations is much easier with the help of tools like DataWeave’s AI-enabled MAP Violations Merchant Analytics.

Ready to take control of MAP pricing at your company? Request a MAP policy assessment from DataWeave today!
March 15, 2025
Portfolio Enhancement Through Price Relationship Management: Building Coherent Pricing Across Product Lines
Do you remember when the movie Super Size Me came out? If you missed it, it was about the harmful effects of eating fast food too often. One aspect of the film that stands out is McDonald’s clever use of pricing to encourage consumers to buy bigger—and therefore more expensive—meals.

Hungry patrons could upgrade their meal to a Super Size version for only a few cents more. In doing so, McDonald’s was able to capitalize on perceived value, i.e., getting more product for an apparent lower total price for the volume. It encouraged restaurant-goers to spend a little more while feeling like they got a great deal. It was a smart use of strategic pricing.

There are hundreds of pricing relationship types like this one that pricing leaders need to be aware of and can use to their advantage when creating their team’s pricing strategy and workflows. You need to maintain profitable and logical price relationships across your entire product portfolio while keeping up with the competition. After all, the gimmick to Super Size would never have worked if the upgrade had been of less value than just buying another burger, for example.

In this article, we’ll examine more real-world examples of pricing challenges so you can consider the best ways to manage complex price relationships. We’ll examine things like package sizes, brands, and product lines and how they’re intertwined in systematic price relationship management. Read on to learn how to prevent margin erosion, improve customer perception of your brand, and keep your pricing consistent and competitive.

The Price Relationship Challenge

Pricing is one of the most challenging aspects of managing a retail brand. This is especially true if you are dealing with a large assortment of products, including private label items, the same products of differing sizes, and hundreds, or even thousands, of competing products to link. Inconsistencies in your price relationship management can confuse customers, erode trust, and harm your bottom line.

Let’s take a look at a few common pitfalls in portfolio pricing that you might run into in real life to better understand the impact on customer perception, trust, and sales.

Private Label vs. Premium Product Pricing

Let’s consider a nuanced scenario where price relationships between a retailer’s private label and premium branded products create an unexpected customer perception. Imagine you’re in a supermarket, comparing prices on peanut butter. You’ve always opted for the store’s private-label brand, “Best Choice,” because it’s typically the more affordable option. Here’s what you find:
- Best Choice (Private Label) 16 oz – $3.50
- Jif (National Brand) 16 oz – $3.25
At first glance, this pricing feels off—shouldn’t the private label be the cheaper option? If a customer has been conditioned to expect savings with private-label products, seeing a national brand undercut that price could make them pause.
This kind of pricing misalignment can erode trust in private-label value and even push customers toward the national brand. When price relationships don’t follow consumer expectations, they create friction in the shopping experience and may lead to lost sales for the retailer’s own brand.

Value Size Relationships

A strong value-size relationship ensures that customers receive logical pricing as they move between different sizes of the same product. When this relationship is misaligned, customers may feel confused or misled, which can lead to lost sales and eroded trust.

Let’s look at a real-world example using a well-known branded product—salad dressing. Imagine you’re shopping for Hidden Valley Ranch (HVR) dressing and see the following pricing on the shelf:
- HVR 16 oz – $3.99
- HVR 24 oz – $6.49
- HVR 36 oz – $8.99
At first glance, you might assume that buying a larger size offers better value. However, a quick calculation shows that the price per ounce actually increases with size:
- 16 oz = $0.25 per ounce
- 24 oz = $0.27 per ounce
- 36 oz = $0.25 per ounce
Customers expecting a discount for buying in bulk may feel misled or frustrated when they realize the mid-size option (24 oz) is actually the most expensive per ounce. This mispricing could drive shoppers to purchase the smallest size instead of the intended larger, more profitable unit—or worse, lead them to a competitor with clearer pricing structures.

Retailers must maintain logical price progression by ensuring that price per unit decreases as the product size increases. This not only improves customer trust but also encourages higher-volume purchases, driving profitability while maintaining a fair value perception.

Price Link Relationships

A well-structured price link relationship ensures customers can easily compare similar offerings of the same product and size. When the pricing across different versions or variations of the same item isn’t clear or consistent, it can confuse customers and damage trust, ultimately leading to missed sales and a negative brand perception.

Let’s break this down with an example of a popular product—coffee. Imagine you’re shopping for a bag of Starbucks coffee and you see the following pricing on the shelf:
- Starbucks Classic Coffee, 12 oz – $7.99
- Starbucks Coffee, Mocha, 12 oz – $9.99
- Starbucks Ground Coffee, Pumpkin Spice, 12 oz – $12.99
At first glance, the product is the same size (12 oz) across all options, but the prices vary significantly. One might assume that the price difference is due to differences in quality or features, but what if there’s no clear indication of why the different flavors are priced higher than the standard?

After investigating, you may realize that the only differences are related to different variants—like “Mocha” or “Pumpkin Spice” rather than any significant changes in the product’s core attributes. When customers realize they’re paying a premium for just different flavors, without any tangible difference in product quality, it can lead to feelings of confusion and frustration.

Retailers must ensure that price links between similar offerings are justifiable by clearly communicating what differentiates each product. This avoids the perception that customers are being charged extra for little added value, building trust and encouraging repeat purchases. By maintaining transparent price link relationships, businesses can foster customer loyalty, increase sales, and drive better overall satisfaction.

What is the Foundational Process to Tackle the Price Relationship Challenge?

Now that we’ve reviewed several challenges brands face when pricing their products, what can be done about them?

If you’re a pricing leader, you must create a robust pricing strategy that considers customer expectations, competitive data, sizing, and the overall value progressions of your product assortment. These are the three foundational steps to solve your price relationship challenges.
1. First, you need to group products together accurately.
2. Second, you need to establish price management rules around the group of related items.
3. Third, you should set in place a process to review your assortment each week to see if anything is out of tolerance.
This process is difficult, if not impossible, to manage manually. To effectively set up and execute these steps, you’ll need the help of an advanced pricing intelligence system.

Implementation Strategy

Want to know how to roll out a price relationship management strategy? Follow this implementation strategy for a practical way to get started.
1. Set up price relationship rules: Determine which of your products go together, such as same products with different sizes or color options. Assign different product assortment groups and determine tolerances for scaling prices based on volume or unit counts.
2. Monitoring and maintenance: Establish rules to alert the appropriate party when something is out of tolerance or a price change has been discovered with a competitive product.
3. Exception management: Only spend time actioning the exceptions instead of pouring through clean data each week, looking for discrepancies. This will save your team time and help address the most significant opportunities first.
4. Change management considerations: Think about the current processes you have in place. How will this affect the individuals on your team who have managed pricing operations? Establish a methodology for rolling this new strategy and technology out over select product assortments or brands one at a time to build trust with internal players.
DataWeave offers features specifically built to help pricing teams manage pricing strategies. These applications can help you optimize profit margins and improve your overall market positioning for long-term success. A concerted effort to create brand hierarchies within your own product assortment from the get-go, followed by routine monitoring and real-time updates, can make all the difference in your pricing efforts.

Within DataWeave, you can create price links between your products (value sizing) and those of the competition. These will alert you to exceptions when discrepancies are discovered outside your established tolerance levels. If a linked set of your products in different sizes shows inconsistent pricing based on scaled volumes, your team can quickly know how to make changes. If a competitor’s price drops significantly, you can react to that change before you lose sales.

DataWeave even offers AI-driven similar product matching capabilities, which can help you manage pricing for private label products by finding and analyzing similar products across the market.

If you want to learn more about price relationship management, connect with our team at DataWeave today.
February 24, 2025
Maximizing Competitive Match Rates: The Foundation of Effective Price Intelligence
Merchants make countless pricing decisions every day. Whether you’re a brand selling online, a traditional brick-and-mortar retailer, or another seller attempting to navigate the vast world of commerce, figuring out the most effective price intelligence strategy is essential. Having your plan in place will help you price your products in the sweet spot that enhances your price image and maximizes profits.

For the best chance of success, your overall pricing strategy must include competitive intelligence.

Many retailers focus their efforts on just collecting the data. But that’s only a portion of the puzzle. The real value lies in match accuracy and knowing exactly which competitor products to compare against. In this article, we will dive deeper into cutting-edge approaches that combine the traditional matching techniques you already leverage with AI to improve your match rates dramatically.

If you’re a pricing director, category manager, commercial leader, or anyone else who deals with pricing intelligence, this article will help you understand why competitive match rates matter and how you can improve yours.

Change your mindset from tactical to strategic and see the benefits in your bottom line.

The Match Rate Challenge

To the layman, tracking and comparing prices against the competition seems easy. Just match up two products and see which ones are the same! In reality, it’s much more challenging. There are thousands of products to discover, analyze, compare, and derive subjective comparisons from. Not only that, product catalogs across the market are constantly evolving and growing, so keeping up becomes a race of attrition with your competitors.

Let’s put it into focus. Imagine you’re trying to price a 12-pack of Coca-Cola. This is a well-known product that, hypothetically, should be easy to identify across the web. However, every retailer uses their own description in their listing. Some examples include:
- Retailer A lists it as “Coca-Cola 12 Fl. Oz 12 Pack”
- Retailer B shows “Coca Cola Classic Soda Pop Fridge Pack, 12 Fl. Oz Cans, 12-Pack”
- Retailer C has “Coca-Cola Soda – 12pk/12 fl oz Cans”
While a human can easily deduce that these are the same product, the automated system you probably have in place right now is most likely struggling. It cannot tell the difference between the retailers’ unique naming conventions, including brand name, description, bundle, unit count, special characters, or sizing.

This has real-world business impacts if your tools cannot accurately compare the price of a Coca-Cola 12-pack across the market.

Why Match Rates Matter

If your competitive match rates are poor, you aren’t seeing the whole picture and are either overcharging, undercharging, or reacting to market shifts too slowly.

Overcharging can result in lost sales, while undercharging may result in out-of-stock due to spikes in demand you haven’t accounted for. Both are recipes to lose out on potential revenue, disappoint customers, and drive business to your competitors.

What you need is a sophisticated matching capability that can handle the tracking of millions of competitive prices each week. It needs to be able to compare using hundreds of possible permutations, something that is impossible for pricing teams to do manually, especially at scale. With technology to make this connection, you aren’t missing out on essential competitive intelligence.

The Business Impact

Besides the bottom-line savings, accurately matching competitor products for pricing intelligence has other business impacts that can help your business. Adding technology to your workflow to improve match rates can help identify blind spots, improve decision quality, and improve operational efficiency.
- Pricing Blind Spots
  - Missing competitor prices on key products
  - Inability to detect competitive threats
  - Delayed response to market changes
- Decision Quality
  - Incomplete competitive coverage leads to suboptimal pricing
  - Risk of pricing decisions based on wrong product comparisons
- Operational Efficiency
  - Manual verification costs
  - Time spent reconciling mismatched products
  - Resources needed to maintain price position
Current Industry Challenges

As mentioned, the #1 reason businesses like yours probably aren’t already finding the most accurate matches is that not all sites carry comparable product codes. If every listing had a consistent product code, it would be very easy to match that code to your code base. In fact, most retailers currently only achieve 60-70% match rates using their traditional methods.

Different product naming conventions, constantly changing product catalogs, and regional product variations contribute to the industry challenges, not to mention the difficulty of finding brand equivalencies and private label comparisons across the competition. So, if you’re struggling, just know everyone else is as well. However, there is a significant opportunity to get ahead of your competition if you can improve your match rates with technology.

The Matching Hierarchy
- Direct Code Matching: There are a number of ways to start finding matches across the market. The base tier of the hierarchy of most accurate approaches is Direct Code matching. Most likely, your team already has a process in place that can compare UPC to UPC, for example. When no standard codes are listed, your team is left with a blind spot. This poses limitations in modern retail but is an essential first step to identifying the “low-hanging fruit” to start getting matches.
- Non-Code-Based Matching: The next level of the hierarchy is implementing non-code-based matching strategies. This is when there are no UPCs, DPCIs, ASINs, or other known codes that make it easy to do one-to-one comparisons. These tools can analyze complex metrics like direct size comparisons, unique product descriptions, and features to find more accurate matches. They can look deep into the listing to extract data points beyond a code, even going as far as analyzing images and video content to help find matches. Advanced technologies for competitive matching can help pricing teams by adding different comparison metrics to their arsenal beyond code-based.
- Private Label Conversions: Up until this level of the hierarchy, comparisons relied on direct comparisons. Finding identical codes and features and naming similarities is excellent for figuring out one-to-one comparisons, but when there is no similar product to compare with for pricing intelligence, things get more complicated. This is the third tier of the matching hierarchy. It’s the ability to find similar product matches for ‘like’ products. This can be used for private label conversions and to create meaningful comparisons without direct matches.
- Similar Size Mappings: This final rung on the matching hierarchy adds another layer of advanced calculations to the comparison capability. Often, retailers and merchants list a product with different sizing values. One may choose to bundle products, break apart packs to sell as single items or offer a special-sized product manufactured just for them.
While at the end of the day, the actual product is the same, when there are unusual size permutations, it can be hard to identify the similarities. Technology can help with value size relationships, package variation handling, size equalization, and unit normalization.

The AI Advantage

AI is the natural solution for efficiently executing competitive product matching at scale. DataWeave offers solutions for pricing teams to help them reach over 95% product match accuracy. The tools leverage the most modern Natural Language Processing models for ingesting and analyzing product descriptions. Image recognition capabilities apply methods such as object detection, background removal, and image quality enhancement to focus on an individual product’s key features to improve match accuracy.

Deep learning models have been trained on years of data to perform pattern recognition in product attributes and to learn from historical matches. All of these capabilities, and others, automate the attribute matching process, from code to image to feature description, to help pricing teams build the most accurate profile of products across the market for highly accurate pricing intelligence.

Implementation Strategy

We understand that moving away from manual product comparison methods can be challenging. Every organization is different, but some fundamental steps can be followed for success when leveling up your pricing teams’ workflow.
1. First, conduct a baseline assessment. Figure out where you are on the Matching hierarchy. Are you still only doing direct code-based comparisons? Has your team branched out to compare other non-code-based identifiers?
2. Next, establish clear match rate targets for yourself. If your current match rate is aligned with industry norms, strive to significantly improve it, aiming for a high alignment that supports maximizing the match rate. Break this down into achievable milestones across different stages of the implementation process.
3. Work with your vendor on quality control processes. It may be worth running your current process in tandem to be able to calculate the improvements in real time. With a veteran technology provider like DataWeave, you can rely on the most cutting-edge technology combined with human-in-the-loop checks and balances and a team of knowledgeable support personnel. Additionally, for teams wanting direct control, DataWeave’s Approve/Disapprove Module lets your team review and validate match recommendations before they go live, maintaining full oversight of the matching process.
4. The more data about your products it has, the better your match rates. DataWeave’s competitive intelligence tools also come with a built-in continuous improvement framework. Part of this is the human element that continually ensures high-quality matches, but another is the AI’s ‘learning’ capabilities. Every time the AI is exposed to a new scenario, it learns for the next time.
5. The final step, ensure cross-functional alignment is achieved. Every one from the C-Suite down should be able to access the synthesized information useful for their role without complex data to sift through. Customized dashboards and reports can help with this process.
Future-Proofing Match Rates

The world of retail is constantly evolving. If you don’t keep up, you’re going to be left behind. There are emerging retail channels, like the TikTok shop, and new product identification methods to leverage, like image comparisons. As more products enter the market along with new retailers, figuring out how to scale needs to be taken into consideration. It’s impossible to keep up with manual processes. Instead, think about maximizing your match rates every week and not letting them degrade over time. A combination of scale, timely action, and highly accurate match rates will help you price your products the most competitively.

Key Takeaways

Match rates are the foundation of pricing intelligence. You can evaluate how advanced your match rate strategy is based on the matching hierarchy. If you’re still early in your journey, you’re likely still relying on code-to-code matches. However, using a mix of AI and traditional methods, you can achieve a 95% accuracy rate on product matching, leading to overall higher competitive match rates. As a result, with continuous improvement, you will stay ahead of the competition even as the goalposts change and new variables are introduced to the competitive landscape.

Starting this process to add AI to your pricing strategy can be overwhelming. At DataWeave, we work with you to make the change easy. Talk to us today to know more.
February 5, 2025
Beyond Basic Price Monitoring: Advanced Applications of Competitive Intelligence
It’s up to senior leadership, whether you’re a Chief Strategy Officer, Pricing Executive, or Commercial Director, to think big picture about your company’s competitive intelligence strategy. For more junior team members, it’s easy to get caught in the “this is how we’ve always done it” mindset and continue to go through the motions of price monitoring.

You don’t have that luxury—it’s up to you to find and implement new ways to move beyond basic price monitoring and usher your company into an era of achieving actionable insights through competitive intelligence. There is much more to gain from competitive data than simple price monitoring.

How can retailers leverage clean, competitive data to uncover strategic insights beyond basic price comparisons? This article will help you shift your mindset from tactical monitoring to strategic insight generation. We’ll see how sophisticated analysis of clean and refined competitive data can reveal competitor strategies, regional and geographic opportunities, and overall market trends.

It’s time to shift away from standard reporting, which should be left for your pricing owners and end users, and towards gaining competitive intelligence to shape your holistic company pricing strategy. With the right tools, you can make this shift a reality.

Regional Price Intelligence

One significant opportunity you should take advantage of is a greater understanding of regional price intelligence. Understanding the nuances that shape how products, categories, and other retailers’ prices according to geographical differences can set your company up to win customer trust and dollars at checkout.

Understanding geographic and regional pricing strategies

Geographic price intelligence helps leaders leverage market opportunities based on where sales are happening. Variations in how products and categories are priced across regions often reflect competitor tactics, local demand, and cost structures.

Let’s consider an example that impacts a broad geography, such as the entire continental United States – egg prices. Eggs are a staple grocery item and are frequently a loss leader in stores. This means they are products priced below their cost specifically to draw customers into stores.

However, Avian Flu outbreaks affecting millions of birds have become more common recently. These outbreaks drive the cost of eggs higher as flocks must be culled to prevent the spread of the disease. This means that retailers must act to maintain acceptable margins or losses without frightening away customers or losing their trust.

Avian Flu has been especially bad in Iowa and California. Retailers in these regions face tough decisions during outbreaks. They need to figure out how to balance the high prices required to cover the supply shortages with maintaining consumer trust that this staple product will not be perceived as ‘overpriced.’ Customers expect retailers to be fair even when supply chain issues make it challenging to keep prices stable.

Another example impacting the broader USA is credit card defaults. Credit card defaults are reaching levels unseen since the financial crisis of 2008. $46 billion worth of credit card balances were written off in the first nine months of 2024 alone. This unprecedented figure highlights the fact that many Americans are struggling financially. Higher-income earners continue to do ok, but lower-income families are feeling the pressure more than ever.

Understanding the differences between the geographies you sell in can help you construct your pricing strategies better. This is especially true as consumers brace themselves for more anticipated economic hardship.

Retailers must set realistic financial targets without overpricing their catalogs. Otherwise, they risk losing customers who would otherwise have bought their products. Competitive intelligence can help retailers understand how economic disparities impact core consumer bases.

Pricing leaders can leverage insights around geographic variations in supply, demand, and competitor pricing to help in situations like these. With how important eggs are, changes to their price can spill over into other categories. And with credit card defaults affecting hundreds of thousands of Americans, having a way to dive into these topics can help shape overarching strategies.

Customer perception is a recurring theme in competitive intelligence. It’s not only about the actual value your brand offers but the perceived value based on historical context, current events, and competition.

Leveraging Regional Price Differences for Strategic Advantage

On the topic of customer perception, there are strategic ways to use customer perception to your advantage. One of these is detecting cross-market arbitrage opportunities using competitive intelligence and actioning them.

But what is cross-market arbitrage? It’s the practice of exploiting the differences in price across different markets or regions. As a retailer, you can use cross-market arbitrage to your advantage by finding disparities in market conditions and strategically pricing your products to entice customers or offer more value. These opportunities can be in demand, supply, or competitive pricing. Acting quickly in markets where frequent disruptions happen can drive your business forward.

DataWeave’s advanced competitive intelligence tools can analyze regional market trends to help you respond to real-time local demand fluctuations or cost pressures.

Local Market Dynamics

Pricing isn’t a one-size-fits-all operation. Where and what you’re pricing truly matters. Pricing teams should take price zones into account when constructing pricing strategies. This is because pricing isn’t equivalent across locations; it’s localized. Understanding this fact is critical for category-specific considerations at the macro and micro levels.

This map shows a retailer’s regional price differentials on a breakfast basket. With the ability to access and refine your data, you can better construct maps like this one to track local market dynamics. Determine where you need to differentiate prices based on locality, understand the strategic stance of your competitors, and plan if you start to see changes in competitive price zones.

Competitor Strategy Detection

As a retailer, you should continuously monitor your competitors, whether they’re succeeding or stagnating. One example of a major retailer that is seeing growth even during this challenging economic time is Costco. Costco is an interesting case because they do not have stores in every major city or even in every state.

Costco has its brand strategy down, and it is tied to the pricing strategy. Costco has committed to its customers to provide quality items at competitive prices, and they’ve delivered even in a volatile economy. Costco has managed to maintain competitive prices on core merchandise and make strategic pricing adjustments on items that matter most to members. Their private label brand, Kirkland Signature, highlights their value-first approach. They continue to lead with price reductions like:
- Organic Peanut Butter: $11.49 → $9.99
- Chicken Stock: $9.99 → $8.99
- Sauvignon Blanc: $7.49 → $6.99
Costco has figured out how to balance premium offerings for cost-conscious consumers with standardly priced items filling the shopper’s basket. This demonstrates that they have a pricing strategy that relies on competitive intelligence and market trends.

With the correct data and tools, any retailer can conduct research to discover more about their competitors and gain usable insights into their implemented pricing strategies. Once established, this can act as an early warning signal so you can take action.

For example, understanding whether a retailer operates with a stable Everyday Low Price (EDLP) strategy or a more dynamic High/Low pricing approach is crucial when building and maintaining the integrity of your pricing strategy.

Data should be able to show you things like:
- When holiday price decreases start to accelerate
- How quickly a retailer responds to cost increases (especially at the category or item level)
- The cadence of seasonal campaigns and their impact on pricing behavior
When we move beyond the numbers, these patterns tell a story about how to win in today’s competitive retail landscape. After all, pricing isn’t just a standard reporting tactic. In its truest form, it’s a strategy rooted in understanding the bigger picture of your consumers, competition, and the economy.

Actionable Intelligence Framework

With a practical system to turn insights into action, your company’s pricing strategy is much more likely to drive actual results. Merely collecting data and churning out out-of-date reports won’t cut it. Instead, begin to identify patterns and insights for accurate competitive intelligence. Use this simple framework to start setting up a comprehensive competitive intelligence process.
- Setting up monitoring systems: Leverage technology to monitor and aggregate data on your competition, market trends, and consumer behavior. Ensure the system chosen can clean and refine the data along the way so it’s ready to be analyzed.
- Creating action triggers: Define clear thresholds and triggers based on key insights. These can be things like price changes of a certain amount, competitor moves, assortment changes, or regional and geographic trends. These triggers should prompt specific, pre-planned actions for your team to capitalize on opportunities.
- Response protocol development: Change management is easier with a plan. Work on building out and training your teams on protocols for specific triggers. When something arises, they know the protocol to take advantage of the opportunity or mitigate the challenge effectively.
- Performance measurement: Measure the impact of your team’s protocol-based actions with the help of pre-determined KPIs and then hone your approach to competitive intelligence based on the results.
Competitive Intelligence at Your Fingertips

Shifting from a latent standard reporting and price monitoring mindset to a growth mindset centered around competitive intelligence doesn’t need to be a struggle. The key is to lean on the tools that will accelerate your company’s journey to finding the right insights and putting action behind them quickly.

Start by conducting a competitive intelligence maturity assessment to evaluate your organization’s current state and identify areas for improvement. Then, create a capability development roadmap for your company to track efficacy and progress toward your goal.

Want to talk to the experts in competitive pricing intelligence? Click here to speak with the DataWeave team!
February 3, 2025
From Raw Data to Retail Pricing Intelligence: Transforming Competitive Data into Strategic Assets
Poor retail data is the bane of Chief Commercial Officers and VPs of Pricing. If you don’t have the correct inputs or enough of them in real time, you can’t make data-driven business decisions regarding pricing.

Retail data isn’t limited to your product assortment. Price data from your competition is as important as understanding your brand hierarchies and value size progressions. However, the vast and expanding nature of e-commerce means new competitors are around every corner, creating more raw data for your teams.

Think of competitive price data like crude oil. Crude or unrefined oil is an extremely valuable and sought-after commodity. But in its raw form, crude oil is relatively useless. Simply having it doesn’t benefit the owner. It must be transformed into refined oil before it can be used as fuel. This is the same for competitive data that hasn’t been transformed. Your competitive data needs to be refined into an accurate, consistent, and actionable form to power strategic insights.

So, how can retailers transform vast amounts of competitive pricing data into actionable business intelligence? Read this article to find out.

Poor Data Refinement vs. Good Refinement

Let’s consider a new product launch as an example of poor price data refinement vs. good data refinement, which affects most sellers across industries.

Retailer A

Imagine you’re launching a limited-edition sneaker. Sneakerheads online have highly anticipated the launch, and you know your competitors are watching you closely as go-live looms.

Now, imagine that your pricing data is outdated and unrefined when you go to price your new sneakers. You base your pricing assumptions on last year’s historical data and don’t have a way to account for real-time competitor movements. You price your new product the same as last year’s limited-edition sneaker.

Your competitor, having learned from last year, anticipates your new product’s price and has a sale lined up to go live mid-launch that undercuts you. Your team discovers this a week later and reacts with a markdown on the new product, fearing demand will lessen without action.

Customers who have already bought the much-anticipated sneakers feel like they’ve been overcharged now, and backlash on social media is swift. New buyers see the price reduction as proof that your sneakers aren’t popular, and demand decreases. This hurts your brand’s reputation, and the product launch is not deemed a success.

Retailer B

Imagine your company had refined competitive data to work with before launch. Your team can see trends in competitors’ promotional activity and can see that a line of sneakers at a major competitor is overdue for sale based on trends. Your team can anticipate that the competitor is planning to lower prices during your launch week in the hope of undercutting you.

Instead of needing to react retroactively with a markdown, your team comes up with clever ways to bundle accessories with a ‘deal’ during launch week to create value beyond just the price. During launch week, your competitor’s sneakers look like the lesser option while your new sneakers look like the premium choice while still being a good value. Customer loyalty improves, and buzz on social media is positive.

Here, we can see that refined data drives better decision-making and competitive advantage. It is the missing link in retail price intelligence and can set you ahead of the competition. However, turning raw competitive data into strategic insights is easier said than done. To achieve intelligence from truly refined competitive pricing data, pricing teams need to rely on technology.

The Hidden Cost of Unrefined Data

Technology is advancing rapidly, and more sellers are leveraging competitive pricing intelligence tools to make strategic pricing decisions. Retailers that continue to rely on old, manual pricing methods will soon be left behind.

You might consider your competitive data process to be quite extensive. Perhaps you are successfully gathering vast data about your competitors. But simply having the raw data is just as ineffective as having access to crude oil and making no plan to refine it. Collection alone isn’t enough—you need to transform it into a usable state.

Attempting to harmonize data using spreadsheets will waste time and give you only limited insights, which are often out of date by the time they’re discovered. Trying to crunch inflexible data will set your team up for failure and impact business decision quality.

The Two Pillars of Data Refinement

There are two foundational pillars in data refinement. Neither can truly be achieved manually, even with great effort.

Competitive Matches

There are always new sellers and new products being launched in the market. Competitive matching is the process of finding all these equivalent products across the web and tying them together with your products. It goes beyond matching UPCs to link identical products together. Instead, it involves matching products with similar features and characteristics, just as a shopper might decide to compare two similar products on the shelf. For instance private label brands are compared to legacy brands when consumers shop to discern value.

A retailer using refined competitive matches can quickly and confidently adjust its prices during a promotional event, know where to increase prices in response to demand and availability and stay attractive to sensitive shoppers without undercutting margins.

Internal Portfolio Matches

Product matching is a combination of algorithmic and manual techniques that work to recognize and link identical products. This can even be done internally across your product portfolio. Retailers selling thousands or even hundreds of thousands of products know the challenge of consistently pricing items with varying levels of similarity or uniformity. If you must sell a 12oz bottle of shampoo for $3.00 based on its costs, then a 16oz bottle of the same product should not sell for $2.75, even if that aligns with the competition.

Establishing a process for internal portfolio matching helps to eliminate inefficiencies caused by duplicated or misaligned product data. Instead of discovering discrepancies and having to fire-fight them one by one, an internal portfolio matching feature can help teams preempt this issue.

Leveraging AI for Enhanced Match Rates

As product SKUs proliferate and new sellers seem to enter the market at lightning speed, scaling is essential without hiring dozens more pricing experts. That’s where AI comes in. Not only can AI do the job of dozens of experts, but it also does it in a fraction of the time and at an improved match accuracy rate.

DataWeave’s AI-powered pricing intelligence and price monitoring offerings help retailers uncover gaps and opportunities to stay competitive in the dynamic world of e-commerce. It can gather competitive data from across the market and accurately match competitor products with internal catalogs. It can also internally match your product portfolio, identifying product family trees and setting tolerances to avoid pricing mismatches. The AI synthesizes all this data and links products into a usable format. Teams can easily access reports and dashboards to get their questions answered without manually attempting to refine the data first.

From Refinement to Business Value

Refined competitive price data is your team’s foundation to execute these essential pricing functions: price management, price reporting, and competitive intelligence.

Price Management

Refined data is the core of accurate price management and product portfolio optimization. Imagine you’re an electronics seller offering a range of laptops and personal computing devices marketed toward college students. Without refined competitive data, you might fail to account for pricing differences based on regionality for similar products. Demand might be greater in one city than in another. By monitoring your competition, you can match your forecasted demand assumptions with competitor pricing trends to better manage your prices and even offer a greater assortment where there is more demand.

Price Reporting

Leadership is always looking for new and better market positioning opportunities. This often revolves around how products are priced, whether you’re making a profit, and where. To effectively communicate across departments and with leadership, pricing teams need a convenient way to report on pricing and make changes or updates as new ad hoc requests come through. Spending hours constructing a report on static data will feel like a waste when the C-Suite asks for it again next week but with current metrics. Refined, constantly updated price data nips this problem in the bud.

Competitive Intelligence

Unrefined data can’t be used to discover competitive intelligence accurately. You might miss a new player, fail to account for a new competitive product line, or be unable to extract insights quickly enough to be helpful. This can lead to missed opportunities and misinformed strategies. As a seller, your competitive intelligence should be able to fuel predictive scenario modeling. For example, you should be able to anticipate competitor price changes based on seasonal trends. Your outputs will be wrong without the correct inputs.

Implementation Framework

As a pricing leader, you can take these steps to begin evaluating your current process and improve your strategy.
- Assess your current data quality: Determine whether your team is aggregating data across the entire competitive landscape. Ask yourself if all attributes, features, regionality, and other metrics are captured in a single usable format for your analysts to leverage.
- Setting refinement objectives: If your competitive data isn’t refined, what are your objectives? Do you want to be able to match similar products or product families within your product portfolio?
- Measuring success through KPIs: Establish a set of KPIs to keep you on track. Measure things like match rate accuracy, how quickly you can react to price changes, assortment overlaps, and price parity.
- Building cross-functional alignment: Create dashboards and establish methods to build ad hoc reports for external departments. Start the conversation with data to build trust across teams and improve the business.
What’s Next?

The time is now to start evaluating your current data refinement process to improve your ability to capture and leverage competitive intelligence. Work with a specialized partner like DataWeave to refine your competitive pricing data using AI and dedicated human-in-the-loop support.

Want help getting started refining your data fast? Talk to us to get a demo today!
January 30, 2025
Black Friday vs Boxing Day: Which Sale Event Offered Better Deals?
When it comes to shopping events, Black Friday stands out as one of the most anticipated dates for scoring deals. Typically occurring the day after Thanksgiving, the weekend kicks off the holiday shopping season with a frenzy of discounts. But Boxing Day, celebrated on December 26, is also well-known for its post-Christmas clearance sales.

This Black Friday, US eCommerce sales increased by a hefty 14.6% in 2024, according to Mastercard SpendingPulse. While Black Friday leads in overall revenue generation for retailers, Boxing Day presents unique opportunities for clearing post-holiday inventory.

For a consumer, which sale event is likely to offer the most attractive deals?

At DataWeave, we analyzed discounts across retailers and categories to uncover the answer.

Our Methodology

For this analysis, we tracked pricing data across major retailers for Black Friday and Boxing Day. To provide a comprehensive analysis of Black Friday pricing strategies, we explored a matched products dataset, comparing identical 14,000+ SKUs across retailers within key categories.
- Categories included: Consumer Electronics, Home & Furniture, Apparel, Health & Beauty, Grocery
- Retailers included: Amazon, Target, Walmart, Sephora, Ulta Beauty, Overstock, Home Depot, Best Buy, Saks Fifth Ave, Nordstrom, Macy’s, Bloomingdale’s, Neiman Marcus
- Timeline: November 26 (Black Friday), December 26 (Boxing Day)
Average Discounts: Black Friday vs Boxing Day

Our analysis reveals that Black Friday generally offered steeper discounts across most categories, although Boxing Day wasn’t far behind. Here’s a breakdown:

While Black Friday led in most categories, Apparel saw a slight edge on Boxing Day, with discounts averaging 40.22% compared to 37.67% on Black Friday. Electronics, Beauty, and Home, however, remained more lucrative during Black Friday.

Top 5 Products Higher Discounts on Black Friday

Diving deeper into specific products, here are our top 5 picks offering better discounts during Black Friday.
- Appliances like an Immersion blender set offering a discount of 88.29%, significantly higher than its Boxing Day offer of 86.62%.
- High-end electronics like the Microsoft Surface Pro 4 also saw substantial markdowns at 84.60%.
- In beauty and fashion, both La Roche Posay’s retinol serum and Vera Bradley’s satchel offered discounts above 80%.
- Even everyday essentials like paper towels enjoyed generous discounts, with markdowns reaching 82.35% during Black Friday compared to 76.47% on Boxing Day.
Top 5 Products With Higher Discounts on Boxing Day

Boxing Day revealed some remarkable deals across diverse categories, with certain products offering significantly better value than their Black Friday counterparts.
- The JBL Go 2 portable speaker emerged as the standout, with an extraordinary 82% Boxing Day discount compared to just 20% on Black Friday—a dramatic 62% difference.
- Home furnishings showed strong Boxing Day performance, with the Costway accent armchair set reaching 80.30% off.
In Conclusion

Black Friday reigns supreme in driving early holiday sales, offering deeper discounts and drawing larger crowds. However, Boxing Day remains critical for retailers to offload surplus inventory and attract post-holiday shoppers.

By combining insights from both events, retailers can refine their strategies to maximize revenue and enhance customer satisfaction. For shoppers, the decision comes down to timing—shop early for better deals or wait to capitalize on clearance markdowns. The products and categories with more attractive offers tend to vary between these two sale events. Hence, as a shopper, it’s a good idea to keep track of prices all through the holiday season to take advantage of the best deals.

Check out our comprehensive coverage of Black Friday 2024 deals and discounts across categories.

For a deeper dive into the world of competitive pricing intelligence and to explore how our solutions can benefit apparel retailers and brands, reach out to us today!
January 21, 2025
Black Friday 2024 in Canada: Insights on Consumer Electronics and Home & Furniture
Black Friday and Cyber Monday are major retail events in Canada, with 43% and 29% of the population making purchases during these sales respectively, according to a YouGov report. Consumer electronics continue to lead the Canadian retail market during these events, with 55% of surveyed shoppers choosing to buy tech products on Black Friday. Household appliances come in second, with 25% of shoppers opting for these items, while 18% prefer to shop for furniture deals.

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

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

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

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

Consumer Electronics

Retailers in Focus

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

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

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

Retailers in Focus

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

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

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

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

For brands and retailers looking to stay ahead of the competition, DataWeave’s pricing intelligence platform offers unparalleled insights to refine discounting strategies and boost visibility. Contact us to learn how we can help you stay competitive in this dynamic retail landscape.
December 18, 2024
A Deep Dive into Consumer Electronics Pricing During Black Friday 2024
Americans spent a whopping total of $10.8 billion online this Black Friday. As Thanksgiving Week 2024 wraps up, one thing is clear: the consumer electronics category continues to dominate seasonal shopping trends. Fueled by a blend of enticing deals and high consumer demand, the sector delivered competitive discounts across subcategories like wearables, gaming, and mobile devices.

At DataWeave, we analyzed discounting trends in the U.S. consumer electronics market during this year’s sales events. Using our AI-powered pricing intelligence platform, we tracked pricing and promotions for 22383 SKUs across Amazon, Walmart, Target, and Best Buy from November 10 to 29. We focused on the top 500 products ranked for each search keyword on each retail site, using targeted terms aligned with categories like “gaming” and “apple.” Here’s what we uncovered.

Also check out our insights on discounts and pricing for health & beauty, grocery, apparel, and home & furniture categories this Black Friday.

Retailers Battle It Out with Competitive Discounts

Discount trends reveal clear leaders in terms of markdowns:
- Walmart offered the deepest average absolute discounts at 36.9%.
- Amazon and Target followed closely, highlighting a diverse range of deals designed to appeal to budget-conscious shoppers
- Best Buy, the specialist consumer electronics retailer, offers the lowest discounts this Black Friday at 26.2%.
Note: The Absolute Discount represents the reduction of the selling price compared to the Manufacturer’s Suggested Retail Price (MSRP). The Additional Discount reflects how much lower the selling price is during Black Friday compared to its price a week before the sale. This metric reveals the actual or effective value of the sale event, beyond the standard discounts typically offered.

Subcategory Spotlight: Where the Best Deals Happened

From audio & video to wearables, each retailer carved out competitive advantages across subcategories.
- Both Amazon and Walmart offered high discounts in audio & video and wearables, but Walmart led, with discounts up to 46.3%.
- Best Buy, meanwhile, offered high absolute discounts on Mobile Devices(34%) and Storage (31%), followed by high discounts on wearables and Audio & Video.
- Amazon maintained a balanced approach, excelling in audio & video and mobile devices.
Brand-Level Insights: HP and Samsung Dominate

The biggest winners this year were brands that strategically leveraged Black Friday discounts to boost visibility and sales:
- HP took the top spot with average discounts of 36.9%, followed by Samsung at 31.4%.
- Despite its premium reputation, Apple offered an average discount of 29.3%, signaling a shift in strategy to attract deal hunters.
Share of Search: Shifting Consumer Attention

Search trends reveal how discounts shaped brand visibility:
- Microsoft saw the largest spike in share of search (+8.6%), thanks to aggressive pricing on gaming consoles and accessories.
- Marshall and Amazon also saw significant gains in visibility.
- Surprisingly, HP experienced a sharp decline (-9.8%), indicating missed opportunities despite steep discounts.
Consumer Electronics: Lowest-Priced Retailer Analysis

In the previous analysis, we focused on the top 500 products within each subcategory for each retailer, showcasing the discount strategies for their highlighted or featured items. However, to identify which retailer offered the lowest or highest prices for the same set of products, it’s necessary to match items across retailers. For this, we analyzed a separate dataset of 340 matched products across retailers to compare their pricing during Black Friday. This approach provides a clearer picture of price leadership and competitiveness across categories.

Here are the key takeaways from this analysis.

Category-Level Highlights
- Amazon leads with the highest average discount (41.35%), offering the most value to consumers. It is followed by Target (39.37%) and Walmart (36.15%).
- Best Buy, the specialist consumer electronics retailer, ranks last with an average discount of 31.53%, emphasizing a less aggressive pricing strategy compared to competitors.
Subcategory Highlights
- Wearables: Amazon offers the steepest discounts (55.40%), followed by Best Buy (50.60%) and Walmart (45.75%).
- Mobile Devices: Amazon also leads (37.94%), with Walmart (29.30%) in second place and Target trailing at 19.48%.
- Gaming: Target takes the lead (37.47%), with Amazon and Best Buy offering similar discounts around 30%.
- Computers: Target again emerges as the leader (39.18%), narrowly surpassing Walmart (36.13%).
Brand Highlights
- Apple: Amazon dominates with 53.06%, closely followed by Walmart (50.55%), while Target and Best Buy hover around 43%.
- Nintendo: Target edges out Amazon (37.62% vs. 36.54%), with Best Buy (33.21%) and Walmart (25.92%) trailing.
- Beats by Dr. Dre: Amazon leads (46.07%), with Target (37.14%) as the runner-up. Best Buy and Walmart offer comparatively modest discounts around 25%.
- Bose: Walmart emerges as the value leader (23.90%), surpassing Target (16.09%) and Best Buy (15.29%).
- Cricut: Amazon sets a high benchmark (54.13%), with Target far behind (36.43%) for this viral portable printer brand. Best Buy (12.32%) and Walmart (10.79%) offer significantly lower discounts.
What This Means for Retailers and Brands

Retailers looking to stay competitive should focus on strategic discounting and enhanced brand visibility. Brands must align with consumer expectations by:
- Leveraging platforms like DataWeave to analyze discount trends.
- Optimizing pricing and assortment strategies for seasonal demand.
For more insights into consumer electronics pricing, contact DataWeave to discover how our AI-powered solutions can drive success in today’s fast-paced market. Stay tuned for more category-specific analyses in the coming weeks!
December 6, 2024
The Apparel Market: A Closer Look at Black Friday Discounts
As the holiday shopping season kicked off, savvy shoppers embraced the spirit of the season, drawn by enticing deals. The apparel category is forecasted as the second highest earning category (Source: Statista), expected to generate revenues up to $43.9 billion, closely following consumer electronics. To understand the pricing strategies of top retailers amidst the sale season, DataWeave analyzed the pricing trends for the Apparel category this Black Friday.

We leveraged our AI-powered data platform to analyze the discounting across key retailers. Our analysis focused on the Apparel category, examining how Amazon, Walmart, Target, Saks Fifth Avenue, Nordstrom, Bloomingdales, Neiman Marcus and Macy’s differentiated themselves through their discounts.

Also check out our in-depth insights on discounts and pricing for health & beauty, grocery, and home & furniture categories this Black Friday.

Our Methodology

For this analysis, we tracked the average discounts of apparel products among leading US retailers during the Thanksgiving weekend sale, including Black Friday. Our sample was chosen to encompass the top 500 ranked products in each product subcategory across during the sale.
- Sample size: 37,666 SKUs
- Retailers tracked: Amazon, Walmart, Target, Nordstrom, Macy’s, Bloomingdale’s, Saks Fifth Avenue, Neiman Marcus
- Subcategories reported on: Footwear, Kid’s Clothing, Men’s Clothing, Women’s Clothing, Activewear, Plus Size Clothing, Accessories
- Timeline of analysis: 10 to 29 November 2024
We focused on the top 500 products ranked for each search keyword on each retail site, using targeted terms aligned with categories like “athleisure” and “plus size clothing”. Our methodology distinguished between standard discounts and Black Friday-specific ‘additional discounts’ or price reductions during the sale compared to the week before, to reveal true consumer value.

Key Findings

This year’s fashion discounts were unprecedented. Let’s take a look.

Retailer Level Insights
- Nordstrom leads with the highest average absolute discount at 59%, followed by Saks Fifth Avenue at 35.5% and Bloomingdale’s at 41.5%. Macy’s shows the lowest average discount at 24.1%, while Amazon has an average discount of 30.4%.
- Amazon ranks lower in both average absolute and additional discounts compared to competitors, indicating a more conservative discounting strategy.
Subcategory Analysis
- Kids’ Clothing saw the deep discounts (up to 55% at Nordstrom), reflecting growing pressure on family budgets and heightened competition to attract budget-conscious parents.
- Plus-Size Clothing emerged as a major focus, with Nordstrom leading at 53.22% average absolute discounts, signaling that retailers are increasingly prioritizing size inclusivity and appealing to a broader consumer base.
- Footwear experienced robust discounting, particularly at Bloomingdale’s with 37% average absolute discounts, showing a competitive approach to attract customers looking for seasonal footwear deals.
- Activewear displayed substantial discounts, with Walmart offering up to 41% on average, aligning with the trend of consumers looking for practical and comfortable attire during the winter season.
Brand Level Insights

Apparel brands, meanwhile, also offer telling insights.
- Top Discounting Brands: Aqua leads with an average absolute discount of 44.58%, followed by Boss at 42.33% and Burberry at 37.84%.
- Lowest Discounts: Athletic Works shows the lowest average absolute discount at 31.23%, with a minimal additional discount of 3.73%.
- Competitive Advantage: Brands like Ralph Lauren and Boss show strong discounts, indicating aggressive marketing during the sale.
Share of Search Insights
- Top Gainers: Adidas and Nike each saw an increase of 1.20% in their share of search during Black Friday/Cyber Monday, highlighting their strong brand presence and consumer interest.
- Top Losers: Reebok experienced a sharp decline, losing 2.60% in its share of search, while Levi’s also dropped by 0.60%.
- Search Trends: The data suggests a strong consumer preference for activewear brands like Nike and Adidas and a decline in interest for traditional apparel brands like Levi’s.
Who Offered Most Value This Black Friday

In the previous analysis, we focused on the top 500 products within each subcategory for each retailer, showcasing the discount strategies for their highlighted or featured items. However, to identify which retailer offered the lowest or highest prices for the same set of products, it’s necessary to match items across retailers. For this, we analyzed a separate dataset of 418 matched products across Apparel specific retailers to compare their pricing during Black Friday. This approach provides a clearer picture of price leadership and competitiveness across categories.

Here are the key takeaways from this analysis.

Category-Level Analysis

At the overall category level, Macy’s emerged as the lowest-priced retailer, offering the highest average discount of 28.72%, followed closely by Nordstrom (26.06%). The steep decline in average discounts from Saks Fifth Avenue (14.42%) and Neiman Marcus (7.93%) highlights a clear gap in discounting strategies.
- Macy’s and Nordstrom are aggressively competitive on pricing in the overall apparel category, likely capturing consumer attention with substantial discounts.
- Saks Fifth Avenue and Neiman Marcus may rely more on brand perception and luxury positioning rather than heavy discounting.
Subcategory-Level Analysis
- Neiman Marcus tops the ranking with an impressive 60.85% average discount, outperforming Macy’s (52.86%) and Nordstrom (43.04%) for Men’s Clothing. We see a similar trend with Neiman Marcus offering more value across Women’s Clothing as well, compared to other retailers.
- The competition in footwear was intense, with Neiman Marcus narrowly securing the top spot at 31.03%, slightly ahead of Saks Fifth Avenue (30.28%) and Macy’s (30.07%).
- Saks Fifth Avenue led by a significant margin in the Activewear category, offering 39.89% average discounts, indicating a strong push in this growing segment.
- Macy’s followed at 32.16% in Activewear, while Neiman Marcus and Nordstrom had comparatively lower discounts of 26.40% and 19.52%, respectively.
Brand-Level Analysis
- Kate Spade New York: Neiman Marcus leads with the highest discount of 55.23%, reflecting strong price leadership in premium fashion, closely followed by Saks Fifth Avenue at 51.66%.
- Coach: Neiman Marcus dominates with a significant 75.85% discount, showcasing an aggressive promotional strategy for this luxury brand.
- Spanx: While Neiman Marcus leads with 28.22%, discounts across other retailers like Saks Fifth Avenue, Macy’s, and Nordstrom are clustered within a competitive range of 17–19%.
- Montblanc: Macy’s takes the lead with 20.32%, signaling its competitiveness even in high-end accessories, with Saks Fifth Avenue and Nordstrom closely behind.
- Ugg: Saks Fifth Avenue leads with 31.42%, focusing on maintaining price leadership for this popular brand, while other retailers remain competitive with discounts around 25–30%.
What’s Next

To win over price-conscious shoppers, retailers need to stay competitive and consistently offer the lowest prices.

For a deeper dive into the world of competitive pricing intelligence and to explore how our solutions can benefit apparel retailers and brands, reach out to us today!

Stay tuned to our blog for more insights on different categories this Black Friday and Cyber Monday.
December 6, 2024
Breaking Down Grocery Discounts This Black Friday
As shoppers flocked online and to stores during Black Friday and Cyber Monday, the grocery category stood out as a key battleground for retailers. With inflation affecting consumer spending, discounted groceries have become a critical driver for both shopper savings and retailer competitiveness.

In fact, according to the NRF, one of the top shopping destinations during Thanksgiving weekend were department stores (42%), online (42%),and grocery stores and supermarkets (40%). Clearly, consumers are looking to stock up in bulk on their groceries to maximize their savings.

To understand the pricing dynamics in the grocery category, DataWeave analyzed grocery discounts across leading grocers, uncovering significant trends that shaped consumer choices during this holiday shopping period.

Our research encompassed retailers like Amazon, Target, and Walmart, examining their discounting strategies across subcategories, alongside trends in share of search for leading CPG companies.

Also check out our detailed analysis of discounts and pricing for health & beauty and home & furniture this Black Friday.

Key Grocery Market Stats for Black Friday-Cyber Monday 2024
- Retailer Discounts: Walmart offered the highest average absolute discount at 27.6%, followed by Amazon at 20.4% and Target at 14.0%
- Subcategory Insights: Beverages Category at Walmart saw the deepest discounts, with an average of 33.4%
- Top Gaining Brands: Cesar experienced the largest increase in share of search during the sales period (+3.89%)
This blog will dive deeper into grocery discount trends and brand-level strategies, offering insights for retailers looking to stay competitive in the grocery sector.

Our Methodology

For this analysis, we tracked the average discounts offered by major U.S. grocery retailers during the Thanksgiving weekend, including Black Friday and Cyber Monday. We focused on key subcategories within the grocery segment, capturing trends in discounting strategies.
- Sample Size: 18,324 SKUs
- Retailers Tracked: Amazon, Walmart, Target
- Subcategories Reported On: Fresh Produce, Dairy & Eggs, Pantry Essentials, Snacks, Frozen Foods, Meat & Seafood, Household Essentials, Beverages, Pet Products, Baby Products
- Timeline of Analysis: November 10 to 29, 2024
In the following insights, the Absolute Discount represents the reduction of the selling price compared to the Manufacturer’s Suggested Retail Price (MSRP). The Additional Discount reflects how much lower the selling price is during Black Friday compared to its price a week before the sale. This metric reveals the actual or effective value of the sale event, beyond the standard discounts typically offered.

Key Findings

Retailer-Level Insights
- Walmart emerged as the leader in grocery discounting, offering the highest average absolute (27.6%) and additional (18%) discounts.
- Amazon adopted a mid-tier discounting strategy, with average absolute discounts of 20.4%.
- Target, while more conservative, maintained competitiveness in select subcategories like baby products.
Subcategory Insights
- Pantry Essentials saw Walmart leading with an average discount of 31.2%, appealing to budget-conscious consumers stocking up for the holidays.
- Fresh Produce showed consistent discounting across retailers, with Amazon slightly ahead at 27%.
- Beverages stood out for significant discounting at Walmart, with an impressive 33.4% average discount.
Brand-Level Insights
- Lay’s led in absolute discounts (37.52%) and additional discounts (26.23%) showcasing aggressive pricing in the snacks subcategory.
- Good & Gather maintained its competitive edge with strong discounts, appealing to price-conscious consumers seeking value.
- Brands like Blue Buffalo (pet food brand) offered significant absolute discounts, but with a low additional discount of just 2%, the overall impact of the sale event on effective value was limited.
Share of Search Insights
- Cesar (dog food brand), Tide (laundry staple) and Doritos saw significant gains in share of search, reflecting successful promotional strategies.
- Brands like Pampers (baby diapers brand), Healthy Choice, (frozen foods brand) and Pedigree (pet food brand) experienced a decline, indicating less effective engagement during the sale period.
Who offered the lowest prices?

In the previous analysis, we focused on the top 500 products within each subcategory for each retailer, showcasing the discount strategies for their highlighted or featured items. However, to identify which retailer offered the lowest or highest prices for the same set of products, it’s necessary to match items across retailers. For this, we analyzed a separate dataset of 1433 matched products across retailers to compare their pricing during Black Friday. This approach provides a clearer picture of price leadership and competitiveness across categories.

Here are the key takeaways from this analysis.

Category-Level Analysis
- Walmart is the lowest priced retailer overall for the grocery category, with an impressive average discount of 44.60%. This significant discount advantage makes Walmart a leading option for value-seeking consumers.
- Target follows with strong discounts of 36.73%, indicating solid pricing in comparison but less aggressive than Walmart.
- Interestingly, Amazon was the most expensive in Grocery, with an average discount of only 6.3%.
Subcategory-Level Analysis
- Walmart leads in various subcategories such as Pet Products (21.12%), Dairy & Eggs (13.79%), Household Essentials (13.05%), Frozen Foods (15.07%), and Meat & Seafood (17.60%), showcasing its extensive value across the board.
- Target excels in Beverages (14.58%) and Baby Products (15.00%) with competitive discounts, standing out in these specific subcategories.
- Kroger provides notable value in Pantry Essentials (20.04%) and Fresh Produce (15.85%), although its overall average discount is lower than Walmart’s.
- Amazon consistently ranks lower in terms of average discounts across most subcategories, highlighting it as less competitive for consumers seeking the lowest prices.
Brand-Level Analysis
- Walmart also holds the top position for several key brands like Cheetos (14.92%) and Dannon (8.81%), making it the best option for consumers looking for budget-friendly choices across popular brands.
- Target takes the lead for brands like Betty Crocker (25.20%) and Chobani (11.37%), showing that it can offer value for specific products.
- Kroger maintains strong discounts for brands such as Delmonte (9.19%), but it does not outpace Walmart in the overall grocery brand comparison.
- Amazon generally lags behind in average discounts for most brands, with Dannon (1.12%) and Chobani (2.43%) showing significantly lower discounts.
Walmart is the lowest priced retailer in the grocery category and provides substantial value across a wide range of subcategories and popular brands. This ties in with Walmart’s ELDP pricing strategy. The retailer leads in overall average discounts and maintains its position as the go-to for price-conscious consumers. Target offers strong value in certain subcategories and brands but falls short of Walmart’s broad value based pricing advantages.

What’s Next

For grocery retailers, competitive pricing and targeted promotions are critical to driving sales during key shopping events. As consumers continue to prioritize value, staying ahead in the discounting game can significantly impact market share.

For detailed insights into grocery discounting strategies and to explore how DataWeave’s solutions can help retailers optimize their pricing, contact us today!

Stay tuned to our blog for further analyses of other categories during Black Friday and Cyber Monday.
December 5, 2024
Black Friday 2024: Home & Furniture Pricing Trends Analyzed
The Home & Furniture category continues to thrive, propelled by consumer interest in creating personalized and functional living spaces. In 2023, the U.S. furniture and home furnishings market was valued at approximately $641.7 billion in 2023 and is estimated to grow at a CAGR of 5.1% from 2024 to 2032. Black Friday and Cyber Monday play a crucial role in fueling this growth, offering consumers a mix of premium and affordable options across subcategories.

To better understand market trends and discount strategies this Black Friday, at DataWeave we tracked over 18,149 SKUs across major home & furniture retailers, including Amazon, Walmart, Target, Best Buy, Home Depot, and Overstock, from November 10 to 29, 2024. Using our AI-powered pricing intelligence platform, we focused on the top 500 products in subcategories like kitchenware, furniture, decor, lighting, outdoor items, and bedding.

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

Also check out our insights on discounts and pricing for the health & beauty category this Black Friday.

Retailer Performance: Who Led the Discount Race?

Retailers showed varying discount strategies for Home & Furniture products. Walmart emerged as the leader in absolute discounts (37.5%) while Amazon offered the highest additional discount of 14%. Best Buy maintained competitive pricing across all subcategories, while Overstock and Home Depot offered relatively modest discounts.

Subcategories in Focus

Breaking down the discounts by subcategory provides deeper insights into consumer priorities and retailer strategies:
- Kitchenware saw strong competition, with Walmart (30.40% absolute discounts) and Amazon (29% absolute discounts) dominating.
- Lighting became a discount hotspot, with Walmart offering up to 45.8% in absolute discounts and 25.3% additional markdowns.
- Furniture remained a core focus for Target, delivering an impressive 34% average absolute discount.
- Bedding stood out at Walmart, where discounts peaked at 49.6%.
Brand Spotlight: Who Stood Out?

Among top-performing brands, furniture brand Costway offered the highest discounts, with an average of 48.4%. Meanwhile, Adesso (lighting solutions), Mainstays and Safavieh (both home furnishings brands) balanced discounts and premium appeal.

Search Visibility: The Winners and Losers

Share of search dynamics revealed significant shifts in brand visibility during Black Friday:
- Furniture brand Costway (+1.2%) and home improvement player Black+Decker (+1.5%) gained visibility.
- On the flip side, premium brands like Safavieh known for rugs and home furnishings (-16.8%) and furniture brand Burrow ( -1.7%) saw declines.
Who Offers the Lowest Prices?

In the previous analysis, we focused on the top 500 products within each subcategory for each retailer, showcasing the discount strategies for their highlighted or featured items. However, to identify which retailer offered the lowest or highest prices for the same set of products, it’s necessary to match items across retailers. For this, we analyzed a separate dataset of 735 matched products across Home & Furniture specific retailers to compare their pricing during Black Friday. This approach provides a clearer picture of price leadership and competitiveness across categories.

Here are the key takeaways from this analysis.

Category-Level Highlights
- Amazon emerges as the lowest-priced retailer across Home & Furniture categories, with the highest average discount of 27.50%, closely followed by Walmart (26.09%).
- Overstock and Wayfair trail with average discounts of 22.93% and 20.71%, respectively, while Home Depot offers the least aggressive pricing at 18.14%. This is notable, as all 3 players are known specialists in the category.
Subcategory Highlights
- Amazon stands out as the leader in multiple subcategories, including Appliances, Furniture, Decor, and Outdoor, offering competitive average discounts of around 26-29%.
- Overstock leads in Bedding and Kitchenware, with strong average discounts of 24.26% and 20.72%, respectively.
- Wayfair is notable for Lighting, with an average discount of 19.95%, and is also competitive in Outdoor and Furniture categories.
- Walmart consistently ranks high in several subcategories like Appliances and Bedding, providing solid discounts of around 22-23%.
What’s Next

For home & furniture retailers, driving maximum value during mega sale events like Black Friday involves offering bundles and sets to meet customer demands and trend expectations. Gaining insights into competitor discounts and pricing can help furniture retailers get an edge amid this environment.

Want to know how DataWeave’s intelligence platform can empower your business during peak sales events? Contact us to discover more about competitive insights, price intelligence, and data-driven decision-making.
Stay tuned to our blog to see more coverage on Black Friday 2024.
December 4, 2024
Health & Beauty Deals on Black Friday 2024: Insights from Top Retailers and Brands
The U.S. health and beauty retail sector shows remarkable resilience amid economic uncertainties, with the skincare market projected to hit $21.83 billion in 2024. Black Friday data reinforces this trend, with health and beauty products seeing a 14.6% surge in web traffic compared to last year.

At DataWeave, we conducted an in-depth analysis of Black Friday discounting trends in the U.S. health and beauty sector. DataWeave’s AI-powered pricing intelligence platform was used to monitor pricing and discounts across Sephora, Ulta Beauty, Walmart, Target, and Amazon during Black Friday 2024. The study covered 19985 SKUs from November 10-29. We focused on the top 500 products ranked for each search keyword on each retail site, using targeted terms aligned with categories like “skincare” and “fragrance”.

The results? Beauty leads across categories in discount depth this year, with some retailers offering significant markdowns.

The Beauty Boom: More Than Just Looking Good

If there’s one thing the pandemic taught us, it’s that self-care isn’t just a luxury – it’s a necessity. This Black Friday proved that beauty has become an indispensable part of consumers’ lives, with retailers offering unprecedented discounts and crafting strategic promotions to capture the growing demand.

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

Ulta Beauty led with 45% average discounts, followed by Sephora at 38.1% and Walmart at 35.2%. In terms of additional Black Friday discounts, Ulta maintained dominance at 35%, with Sephora following at 28%.

Hair care emerged as the standout category, with Ulta Beauty offering up to 56% discounts, reflecting sustained demand for at-home beauty routines. Skincare saw fierce competition, with Sephora emphasizing premium discounts (37%) while Walmart focused on value pricing (32.5%).

Fragrance and Makeup attracted consumers with targeted promotions from Walmart and Ulta Beauty, signaling strong demand for gifting items.

Major beauty brands echoed the sentiment. Premium skincare brand Clinique leads with 50.6% average discounts. Meanwhile, drugstore staples like Revlon (29.1%) and Maybelline (24.4%) balanced accessibility and affordability, driving mass-market appeal. Popular beauty and makeup brand L’Oreal Paris also offered a modest 22.8% average discount, reinforcing its position as a value-oriented brand.

The more interesting story? The massive shift in brand visibility, as our share of search rankings denote:
- Shampoo and hair care brand Tresemmé saw an unexpected 5.5% jump in the share of search results
- Beauty brand Herbal Essences gained 5.1% in share of search well
Declines in share of search were noted for brands like L’Oreal Paris (-1.8%) and Pantene (-0.6%), indicating missed opportunities in promotional visibility.

Insight: What’s driving this beauty boom? TikTok and social media continue to fuel beauty purchases, with viral products driving significant search and sales spikes. Plus, the “skinification” of hair care has turned basic shampoo shopping into a full-blown beauty ritual.

Who Offered the Lowest Prices?

In the previous analysis, we focused on the top 500 products within each subcategory for each retailer, showcasing the discount strategies for their highlighted or featured items. However, to identify which retailer offered the lowest or highest prices for the same set of products, it’s necessary to match items across retailers. For this, we analyzed a separate dataset of 1133 matched products across Health & Beauty specific retailers to compare their pricing during Black Friday. This approach provides a clearer picture of price leadership and competitiveness across categories.

Here are the key takeaways from this analysis.
- Bloomingdale’s emerges as the overall leader, offering the highest average discount of 14.87%, closely followed by Bluemercury (12.41%).
- Ulta Beauty ranks third (10.94%), demonstrating competitiveness across key subcategories, while Sephora trails with the lowest average discount (7.33%), reflecting a more premium positioning.
- Ulta Beauty leads in Hair Care with the highest discount (22.62%), while Bluemercury dominates in Skin Care (13.81%), Makeup (22.98%), and Fragrance (10.6%).
- Sephora consistently offers the lowest discounts across all subcategories, reflecting their premium positioning.
- Bluemercury offers the lowest prices for luxury brands like Kiehl (27.02%) and Laura Mercier (34.87%), with Bloomingdale’s closely trailing.
- Bloomingdale’s leads for Bumble and Bumble (13.59%) and Hourglass (23.41%), showcasing strong promotional efforts.
- Sephora maintains a more restrained discount strategy, with notable leadership only for Estée Lauder (7.18%).
- Ulta Beauty shines in offering the steepest discount for Briogeo (33.26%), emphasizing competitiveness in key brands.
What’s Next for Holiday Discounting?

For retailers, the message is clear: traditional holiday playbooks need a serious update. For shoppers, it means unprecedented opportunities to score deals in categories that traditionally held firm on pricing.

Want to stay ahead of retail trends and optimize your holiday shopping strategy? DataWeave’s commerce intelligence platform helps brands and retailers strategically navigate these shifts. Contact us to learn more about how we can help you make data-driven decisions in this rapidly evolving retail landscape.

Stay tuned to our blog for forthcoming analyses on pricing and discounting trends across a spectrum of shopping categories, as we continue to unravel the intricacies of consumer behavior and market dynamics.
December 3, 2024
Mastering Fuel Price Competitiveness: How First-Party Data Outperforms Third-Party in Pricing Accuracy
Fuel retailers today operate in a highly competitive and volatile market. Consumer behavior is increasingly driven by price sensitivity, particularly in industries like fuel where small changes in price can significantly influence where consumers choose to fill up. The stakes are even higher when you consider the razor-thin margins many fuel retailers work with, making every cent count.

For years, retailers have relied on third-party apps and services to provide them with location-based competitive fuel price data. These services collect pricing data based on customer transactions. While these platforms offer a convenient way for consumers to find cheaper fuel prices, their value to retailers is limited. The data they provide is often riddled with inaccuracies, lags, and incomplete coverage, leaving retailers vulnerable to missed pricing opportunities.

In this rapidly shifting landscape, retailers need data that is not only accurate but also real-time. Solving this involves directly tapping into retailers’ own data sources (first-party or 1P data) —such as websites and apps. This is believed to be the most comprehensive and reliable source of fuel price data in the market.

To validate this hypothesis, we conducted a comprehensive analysis comparing first-party and third-party (3P) fuel price data. Our analysis compared pricing (at the same time of the day) across more than 40 gas stations—including major players like Circle K, Costco, Speedway, and Wawa. The data was captured several times a day for over a week.

Accurate Pricing Matters More Than Ever

Our analysis revealed that nearly a quarter (24.4%) of the fuel pricing data provided by third-party sources was inaccurate when compared to first-party data. On average, these inaccuracies amounted to a price difference of 10.9%.

Such discrepancies, though seemingly minor, can significantly affect consumer behavior. Inaccurate prices could drive customers to competitors who are listed with lower prices—even if the real difference is negligible. For fuel retailers, this leads to lost revenue, missed opportunities, and reduced market share.

The implications are clear: relying on third-party competitive data alone puts retailers at risk. With inaccurate data, retailers may fail to adjust their prices in time to respond to market changes, losing customers to competitors.

The Core Challenges of Third-Party Data

Third-party data comes with inherent limitations. The way this data is collected presents significant challenges for fuel retailers looking to optimize pricing strategies. Here are the main issues:
- Inconsistent Data Frequency: Third-party pricing data is often gathered through customer card transactions. As a result, pricing data updates only when and where transactions occur. This can lead to irregular data availability, particularly in stations with lower transaction volumes. For instance, in rural areas or during off-peak hours, fewer transactions lead to fewer updates. Retailers are left with outdated data, making it difficult to keep pace with real-time price fluctuations.
- Limited Geographic Coverage: Regions with lower transaction volumes are particularly affected by data gaps. While urban centers may enjoy more frequent updates, rural and less-frequented stations often suffer from a lack of data. This limited geographic coverage creates blind spots, making it impossible for retailers in these regions to stay competitive.
- Potential Data Inaccuracies Across Fuel Types: Our analysis showed that inaccuracies in third-party pricing data were most pronounced for Unleaded fuel, with errors occurring nearly 80% of the time. While Diesel prices fared slightly better, inaccuracies were still frequent. This inconsistency across fuel types further complicates the challenge for retailers relying on third-party data.
Leveraging First-Party Data

At DataWeave, our Fuel Pricing Intelligence solution leverages real-time 1P data directly from fuel retailers’ websites and mobile apps, ensuring that retailers always have access to the most up-to-the-minute and accurate pricing information.

Here’s why first-party data stands out:
- Real-Time Updates: Our solution provides near-instantaneous updates across more than 30,000 ZIP codes, ensuring that retailers always have the most up-to-date pricing information. This real-time accuracy is essential for making dynamic pricing adjustments in a highly competitive market.
- Wide Geographic Coverage: DataWeave’s first-party solution captures data across a broad geographic range, ensuring no blind spots in coverage. Retailers in rural or less-frequented areas benefit from the same level of insight as their urban counterparts, giving them the ability to optimize pricing in real-time.
- Complementary to Existing Solutions: For retailers already using third-party data, DataWeave’s first-party solution can complement and enhance their current systems. By filling in data gaps and providing more frequent updates, our solution ensures that retailers are never left in the dark when it comes to competitive pricing.
Retailer-Wise Variances

Among the retailers analyzed, we found that some were more affected by third-party data inaccuracies than others. Speedway and Wawa, for instance, experienced inaccuracies in up to 28% of third-party price data. In contrast, Circle K exhibited fewer discrepancies, but even they were not immune to the challenges posed by third-party data.

For their competition, relying on third-party data alone presents a significant risk. By switching to first-party data sources, or complementing their existing third-party data with DataWeave’s first-party solution, retailers can ensure they stay competitive in the eyes of price-sensitive consumers.

In an industry as price-sensitive as fuel retail, accurate data is a strategic asset. Leveraging first-party data allows fuel retailers to:
- Maximize Revenue: By using real-time, accurate data, retailers can avoid under- or over-pricing their fuel, ensuring they capitalize on high-demand periods while minimizing losses during low-demand times.
- Enhance Margins: First-party data provides the precision needed to fine-tune margins, ensuring profitability even in fiercely competitive markets.
- Boost Customer Retention: Competitive pricing fosters customer loyalty. With better data, retailers can maintain customer trust and retention, even during volatile market shifts.
Shift into High Gear with DataWeave

As the fuel retail industry becomes increasingly competitive, the need for accurate, real-time pricing data has never been more important. DataWeave’s Fuel Pricing Intelligence solution empowers retailers with the insights they need to stay ahead of the competition, optimize pricing strategies, and boost profitability.

With first-party data, fuel retailers can eliminate the blind spots and inaccuracies associated with third-party sources. This shift toward data-driven pricing strategies ensures that every price adjustment is backed by real-time insights, giving retailers the edge they need to succeed.

To learn more, talk to us today!
October 21, 2024