A/B Testing Usage

Statistics for websites using A/B Testing technologies

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

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Name 10k 100k Million Entire Web
Optimizely 971 3,653 15,170 249,398
Omniture Adobe Test and Target 533 1,396 3,579 25,563
Mixpanel 297 1,214 5,546 29,049
Adobe Target Standard 232 550 941 118
Visual Website Optimizer 224 1,304 7,933 45,539
Monetate 147 336 616 1,093
Google Content Experiments 119 528 3,328 37,058
Maxymiser 119 287 1,334 17,085
KISSmetrics 98 480 3,073 15,508
SiteSpect 63 185 614 877

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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.