PostEaseA strict A/B test is rarely realistic at small scale
A true A/B test splits an audience and shows each half a different version at the same time. That is mostly out of reach for a typical account, which posts one version of a thing to its whole audience. An informal version still produces useful signal, with less precision.
Change one variable at a time
The informal version of testing is deliberately varying a single element (the hook, the format, the posting time) across similar posts, and watching whether that change correlates with a real difference in performance. Changing several things at once between two posts makes it impossible to tell which change mattered.
Compare within a similar topic or format
Comparing a video post against a photo post about a completely different topic tells you little about either variable in isolation. A cleaner informal test compares two posts that are similar in most respects and differ mainly in the one thing being tested: two videos on a similar topic, one with a different hook.
Look for a repeated pattern, not a single comparison
One comparison between two posts is barely more reliable than one post’s result alone. The real value of informal testing comes from doing it repeatedly over time and noticing which variable keeps correlating with stronger results across several instances, not concluding from a single pair.