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
Monetate
KISSmetrics
Maxymiser
Dynamic Yield
Google Optimize 360

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Name 10k 100k Million Entire Web
Optimizely 942 3,571 11,457 239,970
Omniture Adobe Test and Target 476 1,231 2,509 4,732
Visual Website Optimizer 260 1,422 7,174 56,562
Mixpanel 226 1,027 4,792 61,694
Adobe Target Standard 224 546 1,008 91
Monetate 153 373 616 1,342
Maxymiser 113 255 907 15,813
Google Content Experiments 102 467 2,265 20,676
KISSmetrics 67 369 1,603 13,452
SiteSpect 53 142 235 1,292

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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.