A/B Testing Usage

Statistics for websites using A/B Testing technologies

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

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Name 10k 100k Million Entire Web
Optimizely 907 3,512 9,735 222,074
Omniture Adobe Test and Target 488 1,336 3,129 4,608
Adobe Target Standard 371 981 2,139 222
Mixpanel 254 1,096 4,461 57,312
Google Optimize 360 253 1,510 5,716 29,974
Visual Website Optimizer 248 1,574 6,759 76,472
Monetate 143 398 704 1,391
Maxymiser 129 373 1,262 13,095
Google Content Experiments 98 445 1,640 31,463
KISSmetrics 66 378 1,200 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.