A/B Testing

Test email variations systematically to improve open rates, click rates, and conversions with statistical confidence.

When to use this skill

• Setting up your first email A/B test
• Open rates or click rates are flat and you want data-driven improvements
• Deciding between subject line variations, send times, or content approaches
• Determining if your test results are statistically significant or just noise
• Planning a testing program across campaigns or sequences
• Evaluating whether to use A/B testing, multivariate testing, or bandit algorithms
• Measuring the true incremental lift of your email program with holdout groups

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