---
title: "What is A/A Testing?"
url: https://fibr.ai/glossary/aa-testing
description: "A/A testing splits users into identical groups to verify randomization, tracking, and analysis before running an A/B test."
last_updated: 2026-05-05T11:55:49.013710+00:00
---
A/A testing is when you split users into two groups but show them the exact same version of a page or product. Because both groups see the same thing, their results should be almost identical.

If there’s a noticeable difference, it usually points to issues with tracking, randomization, or data collection. Running an A/A test is a simple way to validate that your testing setup works properly, giving you confidence that when you move on to A/B tests, any differences you see are real and not caused by flaws in the experiment.

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