Setting Up a Control Group for Revenue Measurement
To measure the additional revenue generated by your OptiMonk campaigns, you can run an A/B test that compares campaign performance against a control group. In this test:
Variant A: Visitors who see your campaign
Variant B (Control): Visitors who don't see any campaign
This approach isolates the impact of your campaigns and reveals the true incremental revenue they generate. You can track and analyze results directly in Google Analytics.
Here you can see even more detail:
We will need a benchmark for the measurement, where we can see how much our visitors spend when they do not see any OptiMonk Campaigns. We will need two OptiMonk Campaign Variants for this measurement: one of the Variants will work as a usual Campaign, which will show up to half of our visitors (as we are running an A/B test with 2 Variants). The other Campaign Variant will not show up at all, this will be the benchmark.
Thanks to the two Variants, we will be able to use Google Analytics to compare the spending of our visitors who had seen our OptiMonk Campaign and the visitors who did not see any of our OptiMonk Campaigns. With these measurements, we will be able to tell without any doubt if our Campaign is profitable.
Setup Instructions
Step 1: Access Your Campaign
Log in to your OptiMonk account at https://app.optimonk.com/login/en, select Campaigns from the left sidebar, and choose the campaign you want to test.
Step 2: Create Campaign Variants
Click Add new variant to create at least two versions of your campaign.
Step 3: Activate Both Variants
Ensure both variants are active by toggling the Inactive switch to active. Then, click on the name of the variant you want to use as your control group (the one that won't display to visitors).
Step 4: Access Developer Mode
In the selected control variant, navigate to Dev mode from the left sidebar.
Step 5: Hide the Control Variant
Select JS editor
Choose Popup shown from the JS event dropdown
Insert the following JavaScript code:
$('#om-holder-campaign-' + campaign.getId()).hide(); setTimeout(function(){ $('body').css('overflow','visible'); $('html').css('overflow','visible'); }, 0);Click Save on the right, then Save & Exit at the top
What this code does: It ensures the control variant remains hidden from visitors while still tracking their behavior for comparison.
Step 6: Track Results in Google Analytics
You can now monitor and compare the revenue performance of both variants using Google Analytics. Follow our guide: A/B test performance report in Google Analytics
That's it! If you have any further questions or need any help, just let us know at [email protected], and we would be happy to assist you!