A controlled experiment comparing two versions of a creative, page or flow to determine which performs better.
A/B testing splits traffic evenly between two variants, measures a defined success metric (conversion rate, CPL, click-through), and declares a winner only once statistical significance is reached. In adviser marketing the most useful tests are headlines, form structures and CTA language.