> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mention-me.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> Run smarter experiments on your referral programme - understand how testing works, set up tests, and interpret results with confidence.

The A/B Testing section covers Mention Me's Bayesian experimentation framework. Use it to test offers, designs, and messaging, and let data decide what works best for your programme.

## What You'll Find Here

<CardGroup cols={2}>
  <Card title="How A/B Testing Works" icon="flask" href="/knowledge/ab-testing/how-it-works">
    Understand the Bayesian modelling approach behind Mention Me's experimentation engine and how significance is determined.
  </Card>

  <Card title="How to Set Up an A/B Test" icon="circle-play" href="/knowledge/ab-testing/setup">
    Step-by-step guide to creating and launching a test using templates or custom configurations.
  </Card>

  <Card title="Best Practices" icon="star" href="/knowledge/ab-testing/best-practices">
    Planning principles, proven test templates, and tips for getting the most from your experiments.
  </Card>

  <Card title="Understanding Variation Metrics" icon="chart-bar" href="/knowledge/ab-testing/variation-metrics">
    How variation-level metrics differ from campaign metrics and why they give more accurate experiment evaluation.
  </Card>

  <Card title="Propensity to Refer" icon="chart-line" href="/knowledge/ab-testing/propensity-to-refer">
    How Mention Me segments customers by their likelihood to refer and optimises their post-purchase experience.
  </Card>
</CardGroup>