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 924 3,605 12,697 227,475
Omniture Adobe Test and Target 515 1,379 2,987 5,444
Adobe Target Standard 397 1,010 2,043 98
Mixpanel 261 1,198 5,477 67,035
Visual Website Optimizer 255 1,651 7,449 133,616
Google Optimize 360 171 920 3,756 18,774
Monetate 155 396 750 1,379
Maxymiser 128 344 1,073 14,327
Google Content Experiments 118 536 2,012 28,226
KISSmetrics 65 386 1,584 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.