A/B Testing Usage

Statistics for websites using A/B Testing technologies

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

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Name 10k 100k Million Entire Web
Optimizely 970 3,786 14,188 359,965
Omniture Adobe Test and Target 752 2,243 5,736 26,287
Adobe Target Standard 401 1,158 2,216 77
Mixpanel 326 1,335 5,658 27,459
Visual Website Optimizer 224 1,313 5,759 39,453
Monetate 126 299 622 1,206
KISSmetrics 114 544 2,697 28,813
Maxymiser 112 295 1,374 10,960
Google Content Experiments 90 480 2,594 16,357
SiteSpect 64 194 1,132 1,149

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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.