E-Commerce Solutions and Services for B2C and B2B - Intershop Communications AG

Market Share By Site Popularity

Alexa RankCMS RankMarket Share
Most Popular Sites < 1,000#1120.194%
Very Popular Sites < 10,000#1310.073%
Popular Sites < 100,000#1360.031%
Less Popular Sites < 1,000,000#2170.009%
All Sites#2170.009%

Market Share History

This chart shows the history of detected websites using Intershop.  
In the last 6 months, market share has decreased 18.18% from 0.011% to 0.009%

Top Level Domains

Websites using Intershop were found on 41 top level domains

Top Level DomainsPercent
Commercial (.com)14.98%
Germany (.de)12.84%
Netherlands (.nl)11.01%
France (.fr)4.893%
Sweden (.se)4.587%
Belgium (.be)4.587%
Denmark (.dk)4.587%
Austria (.at)4.587%
Italy (.it)3.976%
Switzerland (.ch)3.364%
Finland (.fi)3.058%
United Kingdom (.uk)3.058%
Norway (.no)2.446%
Spain (.es)2.141%
Australia (.au)2.141%
Network (.net)1.835%
Pitcairn Islands (.pl)1.835%
European Union (.eu)1.529%
Czech Republic (.cz)1.529%
Russia (.ru)0.917%
Portugal (.pt)0.917%
Canada (.ca)0.917%
Ireland (.ie)0.917%
New Zealand (.nz)0.612%
Slovakia (.sk)0.612%
Luxembourg (.lu)0.612%
India (.in)0.612%
Hungary (.hu)0.612%
Turkey (.tr)0.612%
Moldova (.md)0.306%
Slovenia (.si)0.306%
China (.cn)0.306%
Columbia (.co)0.306%
Hong Kong (.hk)0.306%
Brazil (.br)0.306%
Lithuania (.lt)0.306%
Argentina (.ar)0.306%
Online (.online)0.306%
Montenegro (.me)0.306%
Romania (.ro)0.306%
Croatia (.hr)0.306%

Popular Sites Using Intershop

We detected the following sites were using Intershop

How We Detect Installations of Intershop


HTTP headers, including cookies, can be used in same situations to identify a CMS.


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.

Let us know if you have any suggestions on how we can better detect Intershop installations

Compare Intershop

What CMS Is This Site Using?

Currently Detecting 498 Content Management Systems

Dedicated Content Management System Detection