Let data, not guesswork, decide what converts best.
A/B testing (also called split testing) is comparing two versions of something — a page, popup, or button — by showing each to different visitors to see which performs better.
You create two variants that differ in one element — say, a popup offering "10% off" versus "free shipping." Traffic is split between them, and you measure which variant produces more conversions. The winner becomes your new default.
Popups are ideal for testing because you can quickly compare offers, timing, and copy. Test one variable at a time — for example, a discount popup offering 10% off versus free shipping — and keep the higher-converting version.
It's showing two versions of something to different visitors to see which one performs better, so you can make data-driven decisions.
Start with your highest-impact element — often the offer or headline in your main popup or the call-to-action button.
Long enough to collect a meaningful number of conversions for each variant, so the result isn't down to chance.