Most creators A/B test by accident β posting two versions and hoping the data tells them something. This course teaches a structured A/B protocol: how to test one variable at a time, the time window that's actually comparable, and how to read Insights with enough confidence to make a real decision. We also cover the "split-day" test, which avoids the algorithm treating your test as one post.
What you'll learn
A structured A/B protocol you can run every week
How to test one variable at a time β and why that matters
The split-day test: posting both versions 12 hours apart
A confidence threshold: when to commit, when to keep testing
Common A/B traps that produce false signals
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