A/B Testing Method
A disciplined way to learn what improves conversion: one hypothesis, one primary metric, a sample size set in advance and a decision rule written before launch.
Sub-techniques
Procedure
- Write the hypothesis.
- Choose one primary metric and guardrail metrics such as lead quality.
- Estimate the required sample size with a calculator.
- Run for full weeks and avoid stopping early on a promising peek.
- Decide by the pre-written rule and log the result in the test library.
Common mistakes
| Mistake | Mitigation |
|---|---|
| Testing low-traffic pages | Test bigger changes or use qualitative research |
| Peeking and stopping | Fix the duration in advance |
Sub-technique details
Hypothesis Writing
Because [evidence], changing [element] to [variant] will improve [metric] for [audience].
Sample Size Planning
Calculating required traffic from the baseline rate and minimum detectable effect.
Decision Rules
Pre-written criteria for shipping, rejecting or extending a test.
Other techniques in Capture & Conversion
- MK-T0901 Landing Page Audit
- MK-T0903 Form Optimization
- MK-T0904 Conversion Research
- MK-T0905 Booking and Scheduling Flows
- MK-T0906 Conversational Capture
- MK-T0907 Trust Signals
- MK-T0908 Page Speed for Conversion
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