How much money will this campaign generate for me? Which segment should I target with these messages? What is my ROI from this new tool? How much extra money can I earn by using popups?
Answering these questions isn’t an easy task. But fortunately, you can set up Store-level A/B testing and get those questions answered.
How does Store-level A/B testing work?
It works by splitting your visitors into two or more groups when they arrive on your website (regardless of whether they’re targeted by your popups or not). After that, you have the option of targeting (or not targeting) messages to these segments and measuring the overall performance of these segments.
With store-level A/B testing, you can test not only messages but also high-level concepts against each other. So you can evaluate the overall performance of your popup campaigns.
How to set up Store-level A/B testing?
First, you’ll have to create a global A/B test (this feature is available for OptiMonk subscribers upon request) and decide how many variants you want to test.
The system will automatically place a cookie for every visitor of your website with either of these tags, making them permanent (available as long as the cookie itself expires). This means if a visitor is split into the “Control” segment on the first visit, they’ll remain in the “Control” group at the second visit too.
After this, you can simply target your campaign for either of these cookie variables.
You don’t have to worry about pushing the data into Google Analytics since these cookie events get pushed into Google Analytics by default.
Evaluating the results of a Store-level A/B test is best done in Google Analytics, by setting up segments to each cookie event and comparing the performance of these segments.