ECDB models online revenue from a range of inputs and runs every market, category and store through the same method. The methodology is documented, so you can explain where a figure comes from when the client's leadership asks. When a client's leadership asks where a figure comes from, or checks it against another source or an AI tool, you can trace it back step by step. Visit the data section for more information on the methodology.

Every forecast is a model-based estimate, built with the technique that fits the market's behavior. Parameters are set for each market and country, and each forecast is updated every month as new data comes in. Each market and retailer also carries a Quality Indicator of A, B or C, which shows how much data and analyst work sits behind the figures. Monetary forecasts are shown in nominal prices and converted at the average exchange rate of each year.

Every country runs through the same method, so figures compare directly across markets. Data depth varies with the inputs available, and the Quality Indicator makes that visible. An A rating means detailed, consistent data with in-depth analyst modeling. B means analyst modeling with plausible assumptions on partly limited data. C means the figure comes mainly from the ECDB Revenue Estimation Model. That lets you weigh every number in a client study by the evidence behind it.

ECDB separates first-party sales, where the marketplace operator sells its own products, from third-party GMV, where other sellers list on the platform. Both appear for each marketplace, so you can see how much of its business runs through outside sellers. ECDB's article on 1P and 3P models explains the definitions and how GMV is calculated.

Yes. ECDB analyzes each store's sales by destination country and identifies the store's home country. That shows, for every country, how much online revenue stays domestic and how much comes from abroad, and which countries contribute most to its imports.

Yes. Data can be exported for further analysis, so ECDB figures can feed into a client's business case or your own scoring model. The ECDB API connects the data directly to your own models and dashboards. The MCP server lets AI assistants query ECDB data in plain language, so a team can pull market figures straight into its analysis.

Every engagement draws on the same data, so work from one project carries into the next. A market sized for one client becomes the starting point for the next study in that country or category. Your plan reflects how many projects and team members need access at the same time.