---
title: "Run an A/B Test with Mapp Intelligence"
slug: "run-an-ab-test-with-mapp-intelligence"
updated: 2026-03-24T11:28:16Z
published: 2026-03-24T11:28:16Z
canonical: "docs.mapp.com/run-an-ab-test-with-mapp-intelligence"
---

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

# Run an A/B Test with Mapp Intelligence

## Goal

Compare different variants of a website or feature to evaluate their impact on user behavior and business outcomes.

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## Prerequisites

- Mapp Intelligence tracking is implemented
- A method for assigning A/B test variants is available (for example, A/B testing tool or custom logic)
- Required tracking extensions are configured (for example, recommendation tracking if recommendation performance should be analyzed)

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## Procedure

### Step 1 – Choose a Tracking Approach

Select the tracking approach that fits your setup and analysis requirements.

For an overview of available options, see: [A/B Testing for Recommendation Performance](/v1/docs/ab-testing-recommendation-performance-mapp-fashion)

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### Step 2 – Assign Variants

Assign each user to a variant (for example, Variant A or Variant B).

Variants can represent different implementations, for example:

- Different recommendation providers
- Different recommendation strategies
- Different page layouts or content variations

Typical approaches include:

- Using an A/B testing tool
- Assigning variants server-side
- Assigning variants client-side

Ensure that each user remains in the same variant during the session.

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### Step 3 – Set Up Tracking

Ensure that the assigned variant is included in all relevant tracking events.

This includes:

- Page views
- Product interactions
- Orders

Depending on the use case, additional tracking may be required.

For example, when comparing recommendation performance:

- Enable recommendation tracking in Mapp Intelligence
- Track interactions with recommendation elements

For implementation details, see: [A/B Testing – Implementation (Mapp vs Competitor)](/v1/docs/ab-testing-implementation-mapp-vs-competitor-1)

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### Step 4 – Validate Tracking

Before analyzing results, verify that tracking works correctly.

Check the following:

- Variant distribution is as expected (for example, equal split)
- Users remain in the same variant during a session
- All relevant events include variant information

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### Step 5 – Analyze Results

Analyze A/B test results in Mapp Intelligence.

Typical metrics include:

- Conversion Rate
- Revenue
- Engagement metrics (depending on the use case)

For example, when analyzing recommendation performance:

- Click-through rate (CTR)
- Revenue attributed to recommendations

For detailed analysis methods, see: [A/B Testing – Tracking & Analysis](/v1/docs/ab-testing-tracking-analysis-mapp-fashion)

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## Result

- Variants can be compared based on consistent tracking data
- The impact of different implementations can be evaluated using key business metrics

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## Next Steps

- Optimize underperforming variants
- Run follow-up tests to validate improvements
- Extend A/B testing to additional use cases (for example, content or UI changes)

## Related

- [Run an A/B Test Using Custom Parameters](/run-an-a-b-test-using-page-parameters-mapp-intelligence.md)