A/B Testing (also known as split testing) is a method used to compare two different versions of a pop-up campaign to determine which one performs better. The goal is to test variations in design, content, or offers and analyze which version drives more conversions, clicks, or customer engagement.
With A/B Testing, you can:
- Compare two pop-up campaigns (Version A and Version B).
- Allocate traffic percentage to both versions.
- Analyze performance metrics to make data-driven decisions.
- Improve user engagement and sales based on real results.
Steps to Create an A/B Testing Campaign
1. Navigate to the A/B Testing Section
- From your WordPress dashboard, go to Poptics → A/B Testing.
- Click on Create A/B Test Campaign.
2. Configure the A/B Test Campaign
You will be redirected to the campaign setup page. Here you need to:
- Name: Enter a name for your test campaign (e.g., Black Friday A/B Test).
- Description: Add a short description about the purpose of your test. For example:
“This campaign tests two promotional offers for Black Friday to determine which one drives more sales and customer engagement.” - Traffic Allocation: Use the slider to split traffic between the two versions. For example, Version A = 40% and Version B = 60%.
- Select Campaign A and Campaign B: Choose the two pop-up designs you want to compare.
Once all fields are filled, click on Create A/B Test Campaign.
3. Manage and Publish Your A/B Test
After creating the test, you will see the campaign listed under the A/B Testing dashboard.
- The campaign will initially be in Paused mode.
- To make it live, switch the status toggle from Paused to Publish.
This will start delivering your pop-up campaigns according to the traffic allocation you selected.
You can see the all report of your testing by clicking gon the testing campaign
FAQ
1. Can I create multiple A/B tests?
Yes, you can run more than one test at the same time.
2. What if I pause a test?
The popup stops showing until you publish it again.
3. How to find the winner?
Check Analytics for clicks, conversions, and engagement.
Conclusion
By using A/B Testing, you can experiment with different pop-up strategies and measure which campaign resonates better with your audience. This ensures you make informed decisions backed by real user data, leading to higher conversions and engagement.