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Social media glossary

A/B Testing

Publishing two versions of a post, ad or caption to similar audiences to see which one performs better, then using the winner going forward.

A/B testing compares two versions of the same idea while changing only one thing, such as the hook, the image, the CTA or the posting time. If you change several things at once, you cannot tell which change made the difference.

On social media, you can run tests through ad tools that split audiences automatically, or informally by posting variations over several weeks and comparing results. Pick one metric before you start, like click-through rate or saves, and let each version collect enough impressions before you call a winner.

Keep a simple log of what you tested and what won. Over time those small wins add up to a clear picture of what your audience responds to.

Questions about A/B Testing

How long should a social media A/B test run?

Long enough for both versions to reach a meaningful number of people, usually several days to a couple of weeks. Stopping too early can crown a winner by luck. Ad platforms often show when results are statistically reliable, which is a good signal to stop.

What should I A/B test first on social media?

Start with elements that have a big impact and are easy to change: the opening hook, the thumbnail or first image, and the call to action. Test one at a time so you know exactly which change caused any lift in results.

Can you A/B test organic posts?

Yes, though less precisely than ads. Publish two variations at similar times on similar days, then compare a single metric like engagement rate. Because organic audiences are not split evenly, repeat the test a few times before trusting the result.

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