A/B testing means comparing two versions of a single element (an ad creative, a headline, an audience, a landing page) on live traffic to see which one performs better. Half the audience sees version A, the other half sees version B, and the numbers decide.
What should you test first?
Whatever has the biggest effect. In Meta campaigns that’s almost always the creative (the image/video and the first line of copy). One ad can outperform another several times over, while moving buttons around gets you single-digit percentages. Next come the offer and the CTA on the landing page, then audiences. In our clients’ campaigns, the first month is mostly systematic creative testing. Only once there are clear winners does the budget get scaled up.
The most common A/B testing mistakes
There are three classics. First, testing several variables at once: if you change the image and the headline at the same time, you can’t tell which one made the difference. Second, a test that’s too short, on too small a sample: a result based on 200 impressions is just noise. Don’t stop at clicks: wait until each variant has collected a meaningful number of conversions. Third, ending a test halfway through because ‘it’s already obvious’. Results from the first few days can turn around completely. You’ll find more on what breaks campaigns in our article Why marketing campaigns fail.
