A/B Testing Usage

Statistics for websites using A/B Testing technologies

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

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Name 10k 100k Million Entire Web
Optimizely 1,024 3,937 15,800 312,860
Omniture Adobe Test and Target 546 1,460 3,784 22,256
Adobe Target Standard 280 739 1,474 94
Mixpanel 245 1,114 6,814 33,036
Visual Website Optimizer 242 1,452 8,570 44,486
Monetate 155 380 739 1,128
Google Content Experiments 144 567 3,366 28,325
Maxymiser 128 302 1,294 18,254
KISSmetrics 85 458 2,930 14,086
SiteSpect 56 169 585 885

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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.