Ecommerce insights

Every store on the web, counted by what it runs on

Ful.io tracks 1,364 ecommerce technologies and 29,066,111 detections across the web. What stores run, where they are and which industries sit behind them, from the live index rather than a survey.

Counts refresh as we recrawl the web.

Ecommerce · most detected29M sites
WooCommerce5.3M
Wix Stores2.3M
WooCommerce Add To Cart1.7M
SAP Commerce Cloud1.5M
Shopify977K
Price By Country970K

Take it anywhere

  • Claude
  • Chrome
  • HubSpot
  • Firefox
  • ChatGPT
  • Edge
  • Your WebApp
01

What ecommerce sites actually run

WooCommerce is the most detected, on 5,269,755 sites. The ranking mixes store platforms with the apps and extensions that run on top of them, because that is how a real storefront is built: one platform and a dozen things bolted to it.

Every row here is a list you can open: the sites running it, filtered to your countries and ready to export.

See all 1,364 technologies →
02

Where the stores are

Ecommerce is not one market. The same platform carries a very different weight in Germany than it does in Brazil, and a list that ignores geography wastes most of itself on companies you cannot sell to.

Every report can be narrowed by country and by domain ending before you export a single row.

Filter a report by country →
Stores by countrytop 8
USUnited States2.5M
DEGermany1.4M
GBUnited Kingdom1.2M
FRFrance748K
ITItaly664K
AUAustralia639K
NLNetherlands631K
CACanada586K
03

And what they sell

Technology tells you how a store is built. Industry tells you whether it is worth your time. Put the two together and a generic list of stores becomes a specific list of companies in your market.

Pair that with technology signals and you also see the moment one of them replatforms, which is the week they are actually buying.

Watch a store for changes →
Stores by industrytop 8
Shopping1.5M
Fashion & Beauty558K
Technology & Computing341K
Food & Drink333K
Education281K
Health & Fitness231K
Medical & Healthcare215K
Construction210K

Counts come from detections on public pages, the same pages a search engine reads. A store runs many of these at once, so these are counts of detections, not a partition of the market, and they do not sum to the category total. How the data is made