A/B testing compares two versions of a page, message, or campaign to see which one performs better.
Example: For example, a team can test two headlines on a landing page and measure which one drives more demo requests.
Why it matters: A/B Testing matters because conversion improvements are more trustworthy when they are measured, not guessed.