A/B Testing Usage

Statistics for websites using A/B Testing technologies

Optimizely
Visual Website Optimizer
Omniture Adobe Test and Target
Mixpanel
Google Content Experiments
KISSmetrics
Monetate
Maxymiser
Dynamic Yield
SiteSpect

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Name 10k 100k Million Entire Web
Google Video 0 0 0 0
Thomson Reuters Multimedia Center 0 0 0 32
Clip Syndicate 0 2 2 5
Rutube 1 1 2 5
College Humour 1 17 91 1,718
LiveVideo 1 6 23 1,018
Reuters Insider OVP 4 36 174 518
Jump Cut 43 472 3,077 62,850
YouTube IFrame Embed 1 14 67 580
VioCorp 7,074 79,022 795,064 106,527,319
Yahoo Video 8 319 2,027 11,474
Redlasso 0 10 314 38,157
Blog Talk Radio 0 4 53 2,699
Game Brink 0 5 37 125
Mixcloud 10 128 2,234 3,067,606
CGI Communications 922 5,272 20,782 510,300
DivShare 678 4,783 31,360 770,042
Castfire 0 0 10 241
Brightcove 2 19 516 3,715
blogTV 1 1 10 522

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A/B Testing is a method of using two variations of data to be shown to different sets of people, each variation has a defined goal which can be tracked as a conversion. The higher coversion for either variation is generally then used from then on. Further A/B experiments on that variation can then continue.

A/B Testing has gained in popularity in recent years thanks to it's simplistic approach to testing and the increase in ease-of-use tools to perform testing.