---
title: "What is A/B/n Testing?"
url: https://fibr.ai/glossary/a-b-n-testing
description: "A/B/n testing compares multiple versions at once—an extension of A/B testing that tests variations like A, B, C, and more to find the best performer."
last_updated: 2026-05-05T11:55:47.334397+00:00
---
A/B/n testing allows teams to test several ideas simultaneously instead of running multiple separate A/B tests. For example, an e-commerce company might test three different product page designs—one with a larger image, one with a shorter description, and one with more reviews—to see which performs best.

This approach saves time since all versions are tested under the same conditions. However, it requires larger sample sizes to achieve meaningful results.

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