A/B Testing Usage

Statistics for websites using A/B Testing technologies

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

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Name 10k 100k Million Entire Web
Optimizely 874 3,388 11,471 222,074
Omniture Adobe Test and Target 485 1,274 2,913 4,608
Adobe Target Standard 354 906 2,017 222
Visual Website Optimizer 230 1,627 7,057 76,472
Google Optimize 360 226 1,362 5,188 29,974
Mixpanel 221 959 4,755 57,312
Monetate 144 385 658 1,391
Maxymiser 122 341 1,098 13,095
Google Content Experiments 105 441 1,759 31,463
KISSmetrics 58 343 1,354 11,226

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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.