A/B Testing
Test different offer variations to find what converts best. A/B testing lets you compare up to 2 options for each upsell step and measure which performs better.
How it works
When A/B testing is enabled, customers are randomly shown one of the test variations. The app tracks performance metrics for each variation so you can identify the winner.
What you can test
You can create variations for any of these elements:
Offer title
Test different headlines and messaging
Discount type & value
Compare percentage vs fixed amount, or different discount levels
Template
Test different layout designs
Countdown display
Test with/without countdown timer
Countdown text
Test different urgency messages
Expiration time
Test different offer durations
Free shipping
Test with/without free shipping offer
Product layout
Test scrollable vs standard layout
Metrics tracked per variation
Impressions — number of times the variation was shown
Total Orders — number of orders created from this variation
Total Revenue — revenue generated by this variation
Setting up an A/B test
Step 1: Open your offer
Navigate to your offer's edit page. In the upsell step you want to test (Upsell #1, Upsell #2, or Downsell), look for the A/B Test toggle.
Step 2: Enable A/B testing
Turn on the A/B test toggle. This creates Option A (your current settings) and Option B (a new variation).
Step 3: Configure Option B
Modify the settings for Option B. For example:
Change the discount from 10% to 15%
Use a different template
Adjust the countdown timer text
Step 4: Save and monitor
Save your offer. The app will automatically split traffic between the two options and track performance.
Step 5: Review results
Check the A/B test results in your offer's analytics. Compare:
Which option gets more orders?
Which generates more revenue?
Which has a higher conversion rate?
Step 6: Pick a winner
Once you have enough data, stop the A/B test and keep the winning variation. Click Stop A/B test to save the results and apply the winner.
Best practices
Run tests long enough — wait for at least 100 impressions per variation before drawing conclusions
Test one element at a time — changing multiple things makes it hard to know what caused the difference
Start with high-impact elements — test discount value and offer title first, as they have the biggest impact on conversions
Reset analytics if you make changes mid-test to get clean data
Availability
A/B testing is available for all upsell steps:
Post-purchase upsell: Upsell #1, Upsell #2, and Downsell
Thank you page upsell: Upsell step
Order status page upsell: Upsell step
Last updated