A/B Test Tracker
Measure which approach actually converts better
Track and measure the performance of two competing approaches to emails, discovery questions, or fee positioning using statistical significance testing.
The Problem This Solves
✦ You'll know when a result reaches statistical confidence, so you stop debating wording in your head and commit to the version the numbers back.
Tool Details
How It Works
Statistical significance is calculated using a two-proportion z-test. For each test, the conversion rate for each variant is computed (successes ÷ exposed). The pooled proportion is calculated across both variants, and the standard error of the difference is derived. The z-score is the absolute value of (p1 - p2) / SE. Significance thresholds: |z| < 1.28 = insufficient; ≥ 1.28 = suggestive (80%); ≥ 1.65 = likely significant (90%); ≥ 1.96 = statistically significant (95%). A minimum of 30+ exposures per variant is recommended for reliable results.
Audit Parameters
- •Method: Two-proportion z-test
- •Thresholds: 80% / 90% / 95% confidence
- •Storage: localStorage (no server)
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