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 #

1. Open the test in WP Admin ? Opti-Behavior ? A/B Testing.
2. Review each variant’s conversion rate and probability to be best.
3. 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.

Related articles #

• Statistical settings explained
• Applying, stopping and archiving a test
• The multi-goal Decision Engine