Commerce and retail data

Commerce and retail data shows what is sold, where, at what price and how customers react to it. Brands, retailers, marketplaces, investors and pricing teams use it to benchmark assortments, track competitors, size categories and forecast demand. Some of it is collected from the public web and some comes from retailer point-of-sale systems and consumer panels, and the two behave very differently.

What each sub-category covers

• E-commerce product data: product titles, attributes, images and availability collected from online stores.
• Pricing data: prices for matched products tracked over time across retailers.
• Reviews and ratings data: customer reviews and star ratings for products, apps and places.
• Retail sales data: sell-out and point-of-sale figures by store, region and product.
• Marketplace seller data: sellers, assortments and estimated sales on online marketplaces.
• Consumer packaged goods data: market share, distribution and promotion data for CPG brands.

How to choose

Start from the decision you need to make. Price and assortment decisions need fresh web-collected data with reliable product matching. Market share and category sizing need measured sales from retailer feeds or panels, not estimates inferred from page views or review counts. Investors usually need long, consistent history and a clear methodology for any modelled revenue figures.

Web-collected datasets are typically priced by the number of sites, products tracked and refresh frequency. Retail measurement and panel data is usually licensed annually by category, geography and level of detail.

Before you buy

• Ask which retailers, marketplaces and countries are covered, and since when.
• Check how products are matched across sites (GTIN, model number or fuzzy matching) and the match rate.
• For estimates, ask how they are modelled and validated against known figures.
• Confirm collection respects site terms and does not bypass logins or paywalls.
• Test a sample on a category you know well.