IdoSell is a provider of leading, professional, cloud based e-commerce solutions - IdoSell and IdoBooking.

E-commerce / CMS

Top 1M Market Share

Market Share By Site Popularity

With a 0.01 increase since 2020-08-02, the detection rating for has improved the most amongst Very Popular Sites.

Alexa RankWebsitesMarket ShareMarket Share Change
Most Popular Sites < 1,000n/an/a0%
Very Popular Sites < 10,00010.010% 100%
Popular Sites < 100,00010.001% 100%
Less Popular Sites < 1,000,000840.008% 100%
All Sites1,8410.016% -20%

Market Share History

This chart shows the history of detected websites using .  
In the last 6 months, market share has decreased 20.00% from 0.020% to 0.016%

Top Level Domains

Websites using were found on 35 top level domains

Top Level DomainsPercent
Poland (.pl)81.33%
Commercial (.com)6.828%
European Union (.eu)3.194%
Germany (.de)2.203%
United Kingdom (.uk)1.046%
Czech Republic (.cz)0.771%
France (.fr)0.551%
Network (.net)0.441%
Ukraine (.ua)0.385%
Austria (.at)0.330%
Romania (.ro)0.275%
Hungary (.hu)0.275%
Spain (.es)0.275%
Italy (.it)0.275%
Slovakia (.sk)0.220%
Shop (.shop)0.165%
Sweden (.se)0.165%
Bulgaria (.bg)0.110%
Lithuania (.lt)0.110%
Pro (.pro)0.110%
Ireland (.ie)0.110%
Norway (.no)0.110%
Denmark (.dk)0.055%
Greece (.gr)0.055%
United States of America (.us)0.055%
Russia (.ru)0.055%
Latvia (.lv)0.055%
Biz (.biz)0.055%
Slovenia (.si)0.055%
Chile (.cl)0.055%
Netherlands (.nl)0.055%
Columbia (.co)0.055%
Croatia (.hr)0.055%
Store (.store)0.055%
Portugal (.pt)0.055%

Popular Sites Using IdoSell

We detected the following sites were using IdoSell

How We Detect Installations of IdoSell


HTTP headers can provide some of the best clues about a site's CMS. The values of set-cookie and x-powered-by headers are the most common and easiest to find.


If a CMS doesn't have meta tags, it will often have other uniquely identifiable html markup. This can range from unique html comments, ids or classes.


IdoSell depends on 0 technologies


0 technologies depend on IdoSell

Dedicated Content Management System Detection