Opti-Behavior evaluates experiments using Bayesian analysis and marks a winner when the evidence is strong enough. This article explains how to read results.
Understanding the results #
- Probability to be best – the Bayesian likelihood each variant is the winner.
- Winner indicator – appears once a variant meets your confidence, sample, and duration thresholds.
- Safe winner application – apply the winner only when the test has enough evidence.
Steps #
- Open the test in WP Admin ? Opti-Behavior ? A/B Testing.
- Review each variant’s conversion rate and probability to be best.
- When a winner is indicated, apply it.
Expected result #
You confidently identify the better variant and apply it without guesswork.
FAQ #
Why no winner yet? #
The test has not reached your confidence, sample-size, or duration thresholds.
