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
SiteSpect
Google Website Optimizer

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Name 10k 100k Million Entire Web
Optimizely 1,023 3,818 15,195 211,535
Omniture Adobe Test and Target 510 1,332 3,407 16,101
Mixpanel 287 1,138 5,461 22,688
Visual Website Optimizer 238 1,411 8,179 34,159
Adobe Target Standard 218 531 953 88
Monetate 149 344 664 806
Google Content Experiments 125 568 3,361 22,905
Maxymiser 114 272 1,253 12,383
KISSmetrics 103 503 2,977 10,793
SiteSpect 63 184 614 720

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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.