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A/B testing
conceptExperimentation Method
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Overview
Developed byRonald Fisher
Founded1935
Use casecomparing two versions of a webpage or application to determine which performs better
Also see
Alternative to
split testing
Based onstatistical hypothesis testing
Knowledge graph stats
Claims49
Avg confidence91%
Avg freshness100%
Last updatedUpdated 4 days ago
WikidataQ4648336
Trust distribution
100% unverified
Governance
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A/B testing

concept

Statistical method for comparing model versions and measuring performance in AI systems.

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primary use case

ValueTrustConfidenceFreshnessSources
comparing two versions of a webpage or application to determine which performs better○UnverifiedHighFresh1
Statistical comparison of two versions to determine which performs better○UnverifiedHighFresh1
comparing two versions of a webpage, app, or other user experience to determine which performs better○UnverifiedHighFresh1
comparing two versions of a product or service to determine which performs better○UnverifiedHighFresh1
comparing two versions of a product or feature to determine which performs better○UnverifiedHighFresh1

requires

ValueTrustConfidenceFreshnessSources
control group and test group○UnverifiedHighFresh1
control group and treatment group○UnverifiedHighFresh1
Random sample assignment○UnverifiedHighFresh1
statistical significance calculation○UnverifiedHighFresh1
Random assignment of users to test groups○UnverifiedModerateFresh1

supports protocol

ValueTrustConfidenceFreshnessSources
randomized controlled trial methodology○UnverifiedHighFresh1

developed by

ValueTrustConfidenceFreshnessSources
Ronald Fisher○UnverifiedHighFresh1

integrates with

ValueTrustConfidenceFreshnessSources
Optimizely○UnverifiedHighFresh1
Google Analytics○UnverifiedHighFresh1
Adobe Target○UnverifiedHighFresh1

methodology type

ValueTrustConfidenceFreshnessSources
randomized controlled experiment○UnverifiedHighFresh1

based on

ValueTrustConfidenceFreshnessSources
statistical hypothesis testing○UnverifiedHighFresh1

supported by platform

ValueTrustConfidenceFreshnessSources
Google Optimize○UnverifiedHighFresh1
Optimizely○UnverifiedHighFresh1

also known as

ValueTrustConfidenceFreshnessSources
split testing○UnverifiedHighFresh1
bucket testing○UnverifiedModerateFresh1

measures

ValueTrustConfidenceFreshnessSources
conversion rates○UnverifiedHighFresh1
click-through rates○UnverifiedHighFresh1

commonly used in

ValueTrustConfidenceFreshnessSources
User experience design○UnverifiedHighFresh1
web development○UnverifiedHighFresh1
Marketing campaigns○UnverifiedHighFresh1
Web design optimization○UnverifiedHighFresh1
digital marketing○UnverifiedHighFresh1
Email marketing○UnverifiedModerateFresh1
user experience optimization○UnverifiedModerateFresh1
Email marketing campaigns○UnverifiedModerateFresh1
Mobile app optimization○UnverifiedModerateFresh1

alternative to

ValueTrustConfidenceFreshnessSources
split testing○UnverifiedHighFresh1

implemented in

ValueTrustConfidenceFreshnessSources
Optimizely○UnverifiedHighFresh1
Google Optimize○UnverifiedModerateFresh1

related concept

ValueTrustConfidenceFreshnessSources
Multivariate testing○UnverifiedHighFresh1

alternative method

ValueTrustConfidenceFreshnessSources
multivariate testing○UnverifiedModerateFresh1

popularized by

ValueTrustConfidenceFreshnessSources
Google○UnverifiedModerateFresh1

implemented by platform

ValueTrustConfidenceFreshnessSources
Google Optimize○UnverifiedModerateFresh1
Optimizely○UnverifiedModerateFresh1

originated from

ValueTrustConfidenceFreshnessSources
clinical trial methodology○UnverifiedModerateFresh1
agricultural experiments by Ronald Fisher○UnverifiedModerateFresh1
Clinical trials methodology○UnverifiedModerateFresh1

related to

ValueTrustConfidenceFreshnessSources
multivariate testing○UnverifiedModerateFresh1

founded year

ValueTrustConfidenceFreshnessSources
1935○UnverifiedModerateFresh1

Alternatives & Similar Tools

split testing
alternative to
Compare →

Commonly Used With

OptimizelyGoogle AnalyticsAdobe Target

Related entities

Claim count: 49Last updated: 4/6/2026Edit history