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 1,058 3,965 15,558 210,150
Omniture Adobe Test and Target 524 1,385 3,506 16,206
Mixpanel 302 1,200 6,035 23,217
Visual Website Optimizer 253 1,469 8,279 36,905
Adobe Target Standard 228 567 1,025 73
Monetate 157 367 690 975
Google Content Experiments 135 599 3,338 24,981
Maxymiser 121 284 1,271 12,416
KISSmetrics 105 527 3,022 10,477
SiteSpect 69 194 626 809

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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.