01 / THE IDEA
What does it mean?
A/B testing randomly assigns comparable audiences to variants, then measures a predetermined outcome.
02 / IN PRACTICE
Make it concrete.
Illustrative example: A checkout tests two explanations for shipping fees and compares completed purchases.
03 / WHAT TO WATCH FOR
A common mistake.
Declaring a winner from tiny samples or switching the success metric mid-test.
04 / WHEN IT HELPS
When should you use it?
When you have enough traffic and a measurable decision to make.
05 / FURTHER READING
Explore the source.
Optimizely — A/B Testing ↗A reference for further learning, not an endorsement or verbatim quotation.