How One CRO Team Cut Their Test Cycle From Two Weeks to Four Days

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How One CRO Team Cut Their Test Cycle From Two Weeks to Four Days

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In this episode, Lucas and Luna explore how a mid-market e-commerce team slashed their A/B testing cycle from 14 days to just 4 by implementing a sequential Bayesian testing framework. They walk through the specific changes: switching from frequentist to Bayesian analysis, using a dynamic sample size calculator, and running a pilot on a high-traffic product page. The result was not just speed — accuracy improved by 12 percent, and false positives dropped. This is a concrete, repeatable playbook for any CRO team bottlenecked by long test cycles. #ConversionRateOptimization #CRO #ABTesting #BayesianStatistics #SequentialTesting #SampleSize #Frequentist #Ecommerce #MarketingExperiments #DataDriven #Conversion #LandingPage #Optimization #FexingoBusiness #BusinessPodcast #Marketing #Experimentation #StatisticalSignificance Keep every episode free: buymeacoffee.com/fexingo

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