How to Use the A/B Testing Feature

Introduction

The A/B Testing feature allows you to compare multiple quiz versions to determine which one performs best. By splitting traffic between different quiz variants, you can analyze completion rates, engagement, and lead generation to optimize your quiz performance.

This feature is especially useful for testing variations such as:

Different quiz designs
Alternative question flows
Different product recommendation logic
Unique copy or visuals

By running controlled experiments, you can make data-driven decisions that improve conversions and user engagement.

⚡ Note: The A/B Testing feature is available only on the Pro and Unlimited plans.

Step-by-Step Setup Guide

Step 1: Open the A/B Testing Section

Log in to your Quizell dashboard.
In the left sidebar, click A/B Testing.

This will open the A/B Testing dashboard where you can create and manage experiments.

Step 2: Create a New A/B Test

Click Create A/B Test.

You will then be prompted to configure your test.

Step 3: Name Your Test and Select Quiz Variants

In the New Testing window:

Enter a Testing Name to help identify your experiment.
Select the quiz variants you want to compare.

For example:

Variant A: Quiz Version 1
Variant B: Quiz Version 2

Each variant will represent a different version of the quiz you want to test.

Once selected, click Continue.

Step 4: Set Traffic Distribution

Next, you will define how traffic is split between the quiz variants.

For example:

Variant A → 50% traffic
Variant B → 50% traffic

You can adjust this distribution depending on your testing strategy.

Once configured, click Create A/B Test. Your test will immediately become active.

Step 5: Embed the A/B Test on Your Website

After creating the test:

Click Get Embed Code

Copy the provided embed script
Paste the code into your website where the quiz should appear

This embed code automatically handles traffic distribution between your quiz variants.

Step 6: Monitor Test Performance

To track results:

Click Analytics within your A/B Test

Review the Variants Overview

The analytics dashboard displays metrics such as:

Traffic distribution
Completed quizzes
Completion rate
Leads generated
Average completion time
Drop-off rate

These insights help determine which quiz version performs best.

You can also filter results by selecting a specific date range.

Best Practices for A/B Testing

Test One Major Change at a Time

Changing too many elements at once makes it difficult to identify what caused performance differences.

Allow Enough Traffic

Wait until each variant receives sufficient traffic before drawing conclusions.

Test Meaningful Variations

Examples of good tests include:

Short quiz vs longer quiz
Different first question
Different product recommendation logic
Different visual design

Monitor Engagement Metrics

Completion rate and drop-off points often reveal where users lose interest.

🎉 You’re All Set!

You can now run A/B tests on your quizzes to discover what works best for your audience and continuously improve your quiz performance.

What’s Next?

Continue optimizing your quizzes with these guides:

Updated on: 04/03/2026

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