A/B testing is one of the most powerful tools in Alia—it lets you experiment with different versions of your campaigns to see which one performs best. Whether you're testing pop-up design, delay timing, or educational content, this guide walks you through the full process of setting up an A/B test in just a few steps.
A/B testing allows you to not only compare different versions of your campaigns but also optimize them based on specific user engagement metrics. This ensures your final version aligns perfectly with your campaign goals.
Step 1: Choose Your Campaign
Navigate to the Campaigns section in your Alia dashboard.
Select the campaign you want to test. For this example, we’ll use a draft popup named “Control” in the campaign “All users”.
Step 2: Add a New Variation for the A/B test
Select "Duplicate as draft" from the dropdown next to "Preview" to create a second version of your popup to test against the original.
Step 3: Customize the Variation
Choose what you want to test (e.g. pop-up design, educational flow, delay time, etc.).
In our example, we’re testing a 5-second delay on the first version and a 10-second delay on the second version.- Modify detailed elements such as the text copy, visuals, or even include extra features like a mini quiz to elevate the experience.
Smart trigger can be used to re-engage users who initially dismissed the popup, thereby enhancing engagement.
You now have two flows:
Original (5-second delay)
Variation (10-second delay)
Step 4: Launch the A/B Test
Select Start New A/B Test.
Give a title to your test - Time delay test, for example
Select Create and Publish to begin the test
How to View Test Results
Once your test is running, you can track results by clicking the View A/B Test Results button in your campaign dashboard.
📌 For help understanding results and selecting a winner, check out our guide:
What’s Next?
After setting up your test, we recommend:
Letting the test run long enough to gather meaningful data
Reviewing results regularly to determine a winner
Iterating on what works best- Testing one change at a time ensures clarity about what influenced the results.
Depending on your strategy, prioritize key performance indicators such as click-through and conversion rates to make data-backed decisions.### Troubleshooting Common Issues
Inconsistent Results: Keep audience conditions identical across variants for accurate comparisons.
Insufficient Data: Extend test duration or increase user exposure to achieve meaningful insights.