A/B Testing: Why do different sample size calculators and testing platforms produce different estimates of statistical significance?
A/B testing is a powerful way to increase conversion (e.g., 638% more leads, 78% more conversion on a product page, etc.). Its strength lies in its predictive ability. When you implement the alternate version suggested by the test, your conversion funnel actually performs the way the test indicated that it would. To help determine that, […]
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