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 1,038 4,012 16,319 312,860
Omniture Adobe Test and Target 543 1,403 3,599 22,256
Adobe Target Standard 265 660 1,423 94
Mixpanel 248 1,075 6,718 33,036
Visual Website Optimizer 238 1,409 8,671 44,486
Monetate 154 362 718 1,128
Google Content Experiments 136 571 3,338 28,325
Maxymiser 117 287 1,269 18,254
KISSmetrics 94 474 3,058 14,086
SiteSpect 58 173 591 885

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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.