A/B Testing Usage

Statistics for websites using A/B Testing technologies

Visual Website Optimizer
Omniture Adobe Test and Target
Google Optimize 360
Google Content Experiments
Dynamic Yield

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Name 10k 100k Million Entire Web
Optimizely 949 3,654 13,119 227,475
Omniture Adobe Test and Target 506 1,353 2,850 5,444
Adobe Target Standard 370 910 1,763 98
Visual Website Optimizer 261 1,571 7,455 133,616
Mixpanel 243 1,119 5,388 67,035
Monetate 149 381 739 1,379
Maxymiser 120 276 946 14,327
Google Optimize 360 120 635 2,798 18,774
Google Content Experiments 119 540 1,987 28,226
KISSmetrics 67 385 1,709 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.