Products

Data is from Grips Intelligence’s quarterly ecommerce dataset. The analysis is based on Grips’ proprietary model, which leverages unique first-party data from more than 200,000 ecommerce merchants, along with purchased traffic data, web scraping, receipt scanning, consumer panels, and additional sources. These inputs are combined to generate predictive insights across both known and unknown merchants.

Updated: Q4 2025

Grips Intelligence

Data represents activity among Grips Intelligence clients, broader industry metrics may vary. Average order value (AOV) is calculated as revenues divided by total purchases.

Updated: Q4 2025

Grips Intelligence

Source

Methodology

Notes

Updated: Sep-25

Impact

Impact.com is a partnership management platform.

Updated: Sep-25

Impact

Data is from the North American retail campaigns from January 1 – December 31, 2023, and January 1 – September 30, 2025. Only consistently active “same-store campaigns” were included, while high-revenue “whales” were excluded to prevent bias. All data is anonymized, aggregated, and privacy-compliant.

Updated: Sep-25

Impact

Data represents activity among Impact.com clients, broader industry metrics may vary. Average Order Value (AOV) is the average revenue generated per transaction, indicating purchase size Additional Notes: Apparel, shoes & accessories includes women's apparel, men's apparel, shoes, jewelry & watches, bags & accessories, luxury, and specialty sizes; Arts & entertainment includes art & photography, art & craft supplies, movies & music, books & magazines, collectibles & hobbies, tickets & shows, digital TV & video-on-demand, music services, dating services, and online gaming; Computer & electronics includes computers, consumer electronics, avvessories & peripherals, software, and gaming; Flowers, gifts, food & drink includes flowers, gifts & stationery, gourmet, wine & spirits, food & drink, and tobacco & vape products; Health & beauty includes first aid & pharmacies, diet & nutrition, vision & eye wear, spa & personal grooming, fragrance, and cosmetics & skin care; Home & garden includes bed & bath, kitchen & dining, furniture & home decor, patio & garden, home improvement, and household essentials & services; Sports, outdoor & fitness includes sports apparel & accessories, sports & exercise equipment, outdoors & recreation, sports & fitness services, and memorabilia; Mattress includes mattresses, bedding, and accessories such as pillows, etc.

Updated: Sep-25

Impact

Source

Methodology

Notes

Updated: Q3 2025

SellMetric

SellMetric is an AI-powered sales analytics and optimization platform.

Updated: Q3 2025

SellMetric

SellMetric's data is based on the analysis of various data sources, including transactional data, marketing campaign data, product inventory and sales data, and relevant third-party data. The dataset encompasses over 30,000 customers worldwide. The primary focus of this analysis is for marketplaces in key regions: the United States (US) and Canada. Approximately $350 million in e-commerce ad spending across platforms such as Walmart and Amazon DSP & Sponsored Advertising was examined. To ensure accurate analysis, the raw data underwent essential preprocessing steps, including data normalization, standardization, aggregation and transformation.

Updated: Q3 2025

SellMetric

Data represents activity among SellMetric clients, broader industry metrics may vary. Calculated as revenues divided by total purchases.

Updated: Q3 2025

SellMetric

Source

Methodology

Notes

Updated: Apr-25

Dynamic Yield is a recommendation and automated conversion optimization platform for media and ecommerce companies.

Updated: Apr-25

Data is from the monthly XP2 by Dynamic Yield Ecommerce Statistics and Benchmarks. 200+ million unique users across 300 million anonymized sessions were collected and analyzed from desktop, mobile, and tablet interactions.

Updated: Apr-25

Data represents activity among Dynamic Yield clients, broader industry metrics may vary. Average order value is calculated by revenues divided by total purchases.

Updated: Apr-25

Source

Methodology

Notes

Updated: Q3 2025

Salesforce is a cloud computing and CRM company

Updated: Q3 2025

Salesforce Commerce Cloud publishes periodic updates of aggregate client results, across 1 billion shoppers and 22 billion shopping sessions. Metrics are sliced and diced by retail category and by device type, with quarterly granularity.

Updated: Q3 2025

Data represents activity on the Salesforce Commerce Cloud network, broader industry metrics may vary. Average order value is the order amount spent by the shopper.

Updated: Q3 2025

Source

Methodology

Notes

Updated: 2024

AdScale

AdScale is an AI-powered advertising automation platform.

Updated: 2024

AdScale

Data is from 1,071 US ecommerce brands across 15 verticals, collected and analyzed for 2024. It includes direct-to-consumer brands selling through their own websites, excluding marketplace sellers. Brands are categorized by revenue, with stores processing fewer than 50 monthly orders excluded. Ecommerce data is sourced directly from stores, while advertising data comes from Google and Meta ad accounts.

Updated: 2024

AdScale

Data represents activity among AdScale clients, broader industry metrics may vary. Ecommerce Average Order Value (AOV) is the average revenue generated per transaction, indicating purchase size.

Updated: 2024

AdScale

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