A/B Testing Usage

Statistics for websites using A/B Testing technologies

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

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Name 10k 100k Million Entire Web
Optimizely 970 3,724 13,398 239,970
Omniture Adobe Test and Target 494 1,325 2,767 4,732
Visual Website Optimizer 274 1,587 7,588 56,562
Mixpanel 242 1,139 5,525 61,694
Adobe Target Standard 241 609 1,210 91
Monetate 154 386 756 1,342
Maxymiser 117 271 942 15,813
Google Content Experiments 110 497 2,030 20,676
Google Optimize 360 84 530 2,258 1,682
KISSmetrics 69 393 1,748 13,452

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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.