// Glossary
A/B testing
A/B testing is comparing two versions of a post, different titles, thumbnails or captions, to see which performs better. Creators use it to learn what their audience responds to and to steadily lift click-through and conversion over time.
Run two variants on similar audiences, measure clicks or sign-ups with tracked links, and keep the winner.
Small, consistent A/B tests compound into large gains in reach and revenue.
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