What is A/B testing?
A/B testing compares two versions of the same thing, an ad, a landing page, an email subject, by showing each to a comparable audience and measuring which performs better. One variable changes, everything else stays constant, and the data decides.
Why it matters
Opinions are cheap and everyone has them. Testing replaces the loudest voice in the room with evidence, and it compounds: every test adds a learning, and accounts that test systematically get structurally better while accounts that do not just get older.
How to test properly
- One question per test: change one meaningful variable, or you will not know what caused the difference.
- Enough volume: small samples produce confident nonsense. Let the test reach significance before declaring a winner.
- Test what matters: hooks, offers, angles and landing pages move results; button colours rarely do.
- Write it down: a learning that is not documented will be paid for twice.
The bigger picture
On automated platforms, structured creative testing is one of the few levers still fully in your hands. Treat it as a permanent programme, storylines and themes tested over months, not a one off experiment when someone gets curious.
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