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Market Share By Site Popularity

With a 0.171 percentage point decrease since 2020-03-29, the detection rating for Yola has fallen the most amongst Most Popular Sites.

Alexa RankCMS RankMarket ShareMarket Share Change
Most Popular Sites < 1,000n/an/a -100%
Very Popular Sites < 10,000n/an/a -100%
Popular Sites < 100,000n/an/a -100%
Less Popular Sites < 1,000,000#2830.005%0%
All Sites#900.047% 53.33%

Market Share History

This chart shows the history of detected websites using Yola.  
In the last 6 months, market share has increased 53.33% from 0.030% to 0.046%

Top Level Domains

Websites using Yola were found on 46 top level domains

Top Level DomainsPercent
Australia (.au)41.57%
Commercial (.com)22.19%
New Zealand (.nz)10.00%
Canada (.ca)4.705%
United Kingdom (.uk)4.261%
Sweden (.se)3.001%
Switzerland (.ch)2.668%
Organization (.org)2.075%
Network (.net)1.408%
Brazil (.br)1.297%
Ireland (.ie)1.112%
Czech Republic (.cz)1.037%
Norway (.no)0.741%
Netherlands (.nl)0.482%
South Africa (.za)0.408%
Biz (.biz)0.296%
Slovakia (.sk)0.296%
European Union (.eu)0.222%
Info (.info)0.222%
Mexico (.mx)0.185%
Columbia (.co)0.185%
Belgium (.be)0.185%
Austria (.at)0.185%
Niue (.nu)0.148%
Club (.club)0.148%
Germany (.de)0.111%
United States of America (.us)0.111%
Online (.online)0.074%
Chile (.cl)0.037%
France (.fr)0.037%
Singapore (.sg)0.037%
Website (.website)0.037%
Life (.life)0.037%
Bulgaria (.bg)0.037%
Lithuania (.lt)0.037%
Today (.today)0.037%
Cyprus, Republic of (.cy)0.037%
Luxembourg (.lu)0.037%
Top (.top)0.037%
India (.in)0.037%
Romania (.ro)0.037%
Nigeria (.ng)0.037%
Gibraltar (.gi)0.037%
Denmark (.dk)0.037%
American Samoa (.as)0.037%
Serbia (.rs)0.037%

Popular Sites Using Yola

We detected the following sites were using Yola







How We Detect Installations of Yola


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.

Let us know if you know how we can better detect Yola

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