A/B Test
An A/B test compares two versions of a single element (a headline, a button color, a form length) by splitting incoming traffic and measuring which version produces the better outcome. It isolates a single variable to prove causation. A/B tests fail more often from bad setup than from tie results. Common mistakes: too many variables […]