A/B Testing Usage

Statistics for websites using A/B Testing technologies

Optimizely
Visual Website Optimizer
Omniture Adobe Test and Target
Mixpanel
Google Content Experiments
KISSmetrics
Monetate
Maxymiser
SiteSpect
Google Website Optimizer

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Name 10k 100k Million Entire Web
Optimizely 1,086 4,117 16,474 210,150
Omniture Adobe Test and Target 552 1,476 3,704 16,206
Mixpanel 311 1,252 6,637 23,217
Visual Website Optimizer 262 1,523 8,578 36,905
Adobe Target Standard 249 639 1,187 73
Monetate 160 377 760 975
Google Content Experiments 144 638 3,345 24,981
Maxymiser 123 293 1,301 12,416
KISSmetrics 108 542 3,164 10,477
SiteSpect 70 200 636 809

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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.