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 985 3,761 15,928 312,860
Omniture Adobe Test and Target 508 1,330 3,432 22,256
Adobe Target Standard 266 677 1,404 94
Visual Website Optimizer 232 1,374 8,606 44,486
Mixpanel 224 1,002 6,807 33,036
Monetate 152 363 723 1,128
Google Content Experiments 125 510 3,406 28,325
Maxymiser 124 290 1,257 18,254
KISSmetrics 76 431 2,994 14,086
SiteSpect 55 163 577 885

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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.