A/B Testing Usage

Statistics for websites using A/B Testing technologies

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

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Name 10k 100k Million Entire Web
Optimizely 832 3,358 8,489 480,705
Omniture Adobe Test and Target 510 1,390 3,270 34,678
Adobe Target Standard 412 1,057 2,300 1,159
Google Optimize 360 329 2,188 7,878 614,004
Mixpanel 278 1,223 5,406 111,373
Visual Website Optimizer 249 1,894 6,794 211,712
Monetate 144 402 698 23,959
Maxymiser 115 340 1,173 38,371
Google Content Experiments 93 402 1,465 64,791
SiteSpect 56 152 260 5,677

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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.