A/B Testing Usage

Statistics for websites using A/B Testing technologies

Optimizely
Visual Website Optimizer
Omniture Adobe Test and Target
Google Optimize 360
Mixpanel
Google Content Experiments
Monetate
KISSmetrics
Maxymiser
Dynamic Yield

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Name 10k 100k Million Entire Web
Optimizely 881 3,421 12,063 227,475
Omniture Adobe Test and Target 502 1,275 2,654 5,444
Adobe Target Standard 394 951 1,859 98
Mixpanel 245 1,087 5,352 67,035
Visual Website Optimizer 232 1,663 7,364 133,616
Google Optimize 360 200 1,205 4,707 18,774
Monetate 148 378 721 1,379
Maxymiser 134 340 1,024 14,327
Google Content Experiments 102 431 1,858 28,226
KISSmetrics 60 356 1,490 12,937

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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.