ScaleBun
Glossary · Definition

A/B testing

A/B testing splits users between two or more variants of a feature or flow and compares them on a target metric to decide which performs better. Assignment is randomized and each user sees one variant consistently, so the difference in outcomes can be attributed to the change rather than to who saw it. Reliable results depend on recording an exposure only when a user actually encounters the variant, so the analysis counts the users who saw it rather than everyone who loaded the page.

ScaleBun feature flags & experiments


More terms

Mobile attribution

Connecting an install, signup, or purchase to the campaign, source, or link that drove it.

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Session replay

A reconstruction of a user session from captured screens, touches, and events.

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Crash-free rate

The percentage of users or sessions that did not experience a crash in a period.

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Deep link

A link that opens a specific screen inside an app rather than a home screen.

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