A/B ou N testing
This guide details how to set up comparative tests within Platform X to identify the message, design, or configuration variants that generate the best performance.
1. Business Value: Decide based on data, not intuition
A/B testing allows you to remove any doubts about the effectiveness of a change by comparing two (or more) versions with similar audience samples.
Maximising conversions: Validate which headline or button generates the most clicks or purchases.
Consent optimisation: Identify the banner design that maximises opt-ins while remaining compliant.
Risk reduction: Test a new feature on a small percentage of your traffic before rolling it out across the board.
2. Implementation methodology
Step 1 : PREPARE THE DESIGN OF THE BANNERS TO BE TESTED
This first step consists of defining the format and design of the banners to be tested in your A/B test campaign.
Go to the Privacy Banners module to create your banners.
YOU DON'T KNOW HOW TO SET UP YOUR BANNER ?
Don't panic, we've got a ready-to-use tutorial so all you have to do is follow it step by step.
Step 2 : CREATE THE DISPLAY SCENARIO FOR YOUR A/B or N TEST
This step consists of telling your container which test scenario to run.
To do this, go to the menu Data management > Data specification > Web datalayer > Data storage
Then click on "add data storage".
Select the scenario you wish to deploy
Either, A/B Test: 50%/50% :
That is, N Test: A 80% / B 10% / C 10% :
Step 3 : ADD PRIVACY DISPLAY CONSTRAINTS ON COOKIES
The purpose of this step is to define the display scenario for the banners you created in step 1.
To do this, simply go to your container from the source > overview menu
Then define your display constraint, as shown in the example below, from the Rules > Privacy Constraint menu.
Choose the name for step 2 on the Name cookie :
Step 4 : ACTIVATE YOUR BANNERS TO BE TAKEN INTO ACCOUNT IN YOUR SCENARIO
In the Generation section, activate the. Banners for A/B Test
Step 5 : DEPLOY YOUR CONTAINER TO PUT YOUR TEST SCENARIO INTO PRODUCTION
In the Generation section, activate the A/B Test banners by deploying your container on your website!
Need help setting up your first test?
Our consultants will help you define your test protocols and interpret statistical results to ensure reliable decisions. Contact your dedicated consultant or our support team: [email protected]
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