The False Precision of Bayesian vs Frequentist A-B Testing

Episode 46 of Conversion Rate Optimization with Fexingo dives into the debate between Bayesian and frequentist statistical methods in A-B testing. Lucas and Luna unpack a real case from a mid-market SaaS company that ran a 10-variant test: one statistically significant winner under frequentist logic, but Bayesian analysis suggested all variants were essentially tied. They explain what prior probabilities, posterior distributions, and p-values actually mean for a marketer's decision, and why choosing a framework is less about math and more about business risk tolerance. The episode closes with a practical checklist for when to use each approach, and a brief reflection on how listener support keeps the show ad-free at buy me a coffee dot com slash fexingo. #Bayesian #Frequentist #ABTesting #StatisticalSignificance #PriorProbability #PosteriorDistribution #PValue #ConversionRateOptimization #CRO #Marketing #DataScience #BusinessDecisions #SaaS #FalsePositive #LucasAndLuna #FexingoBusiness #BusinessPodcast #MarketingPodcast Keep every episode free: buymeacoffee.com/fexingo