Why Most A-B Tests Fail Before They Start

In this episode of Conversion Rate Optimization with Fexingo, Lucas and Luna expose a hidden flaw in how most marketers set up A-B tests: they optimize for the wrong baseline. Using the example of a SaaS trial page that spent six months testing button colors — only to discover their real issue was page-load time — they explain why pre-test diagnostics like the 'minimum detectable effect' and 'baseline conversion rate' are often ignored. They walk through how Booking.com and HubSpot avoid this trap by running a two-week 'null test' before any variant goes live. If you've ever run a test that showed 'no significant difference,' this episode will make you rethink your entire process. #ABTesting #CRO #ConversionRateOptimization #Marketing #Business #ExperimentDesign #StatisticalValidity #BaselineRate #MinimumDetectableEffect #NullTest #Bookingcom #HubSpot #DataDriven #Optimization #SaaS #LandingPage #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo