A/B Testing Best Practices for SaaS

Jan 5, 2025 6 min read By Alex Rodriguez

A/B testing is the foundation of data-driven growth. But most SaaS companies make critical mistakes that invalidate their results and waste valuable time.

Start with a Strong Hypothesis

Don't test random changes. Form clear hypotheses based on user research and data insights.

Test One Variable at a Time

Multivariate testing sounds smart but makes it impossible to know what drove the results.

Ensure Statistical Significance

Don't call winners too early. Wait for 95% confidence and sufficient sample size.

Focus on Business Metrics

Clicks and opens don't matter if they don't drive revenue. Test for conversion and retention.

Run better A/B tests

Boostly makes it easy to run statistically valid experiments that drive real business results.