Conversion Rate Optimization with Fexingo: A/B Testing, Landing Pages, and CRO Strategy cover art

Conversion Rate Optimization with Fexingo: A/B Testing, Landing Pages, and CRO Strategy

Conversion Rate Optimization with Fexingo: A/B Testing, Landing Pages, and CRO Strategy

By: Fexingo
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Lucas and Luna sit at a CRO-team desk, two tablets between them showing side-by-side landing page variants. They don't just talk about A/B testing—they walk through actual experiments: the e-commerce checkout flow that lifted conversions by 12% when the CTA button changed from 'Buy Now' to 'Add to Cart', the SaaS pricing page where removing a form field reduced abandonment by 8%. This show is for marketers who want to know not just that a test worked, but why: statistical significance, sample size calculations, the difference between a winning variant and a false positive. Lucas pushes on the numbers—what's a 95% confidence interval really telling you? Luna challenges assumptions about visitor intent, heatmaps, and the psychology of micro-conversions. They dissect landing page structure, form length, headline A/B tests, and the interplay between CRO and SEO. Each episode is a tight, data-dense conversation that leaves you with a specific framework you can apply tomorrow. No fluff, no 'growth hacks'—just the mechanics of turning traffic into revenue, one test at a time. What happens when a test that 'should' win fails—and what that failure teaches you about your audience? #ConversionRateOptimization #ABTesting #LandingPages #CROStrategy #MarketingExperiments #DataDrivenMarketing #ConversionFunnel #Optimization #WebAnalytics #UXDesign #UserExperience #GrowthMarketing #DigitalMarketing #Marketing #FexingoBusiness #BusinessPodcast #MarketingPodcast #CRO Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved.
Episodes
  • How a Pre-Registration Log Prevents A-B Test Bias

    How a Pre-Registration Log Prevents A-B Test Bias
    Jun 15 2026
    Episode 53 of Conversion Rate Optimization with Fexingo dives into a common but overlooked A/B testing pitfall: pre-registration bias. Lucas and Luna explain why logging your hypotheses, sample sizes, and success metrics before running a test can prevent p-hacking and false positives. They walk through a real example from a B2B SaaS company that halved its false-positive rate by adopting a public pre-registration log, and discuss how tools like GitHub or simple spreadsheets can enforce discipline. The hosts also share a practical framework for writing a pre-registration entry in under 10 minutes. No more 'I knew it all along'—this episode gives listeners a concrete tactic to make their A/B tests more trustworthy. #PreRegistrationLog #ABTesting #CRO #PValue #PValueHacking #StatisticalSignificance #Frequentist #Bayesian #HypothesisTesting #DataIntegrity #ConversionOptimization #SaaS #MarketingAnalytics #Experimentation #FexingoBusiness #BusinessPodcast #Marketing #CROStrategy Keep every episode free: buymeacoffee.com/fexingo
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    10 mins
  • Why Your A-B Test Needs a Pre-Registration Log

    Why Your A-B Test Needs a Pre-Registration Log
    Jun 14 2026
    In this episode of Conversion Rate Optimization with Fexingo, Lucas and Luna dive into the hidden pitfall of post-hoc analysis: why even a perfectly executed A-B test can lead you astray if you peek at the results before the sample size is reached. Using the real-world example of a travel-booking site that accidentally cut revenue by 8 percent after 'winning' a test early, they explain what a pre-registration log is, how it forces you to commit to one primary metric and one stopping rule, and why it saved a SaaS company from shipping a losing variant. Lucas walks through the simple spreadsheet template his team uses, and Luna pushes back on whether this adds too much process friction. They also discuss how pre-registration differs from a holdout group and why most CRO teams skip it — and why they shouldn't. A practical, gear-shifting episode for anyone running experiments that matter. #ABTesting #CRO #Marketing #ConversionRateOptimization #Experimentation #DataScience #PreRegistration #StatisticalRigor #TravelBooking #SaaS #PostHocAnalysis #SampleSize #PrimaryMetric #StopRule #FexingoBusiness #BusinessPodcast #LucasAndLuna #MarketingTips Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
  • How a Single Button Color Test Cost a SaaS Company 40 Percent Revenue

    How a Single Button Color Test Cost a SaaS Company 40 Percent Revenue
    Jun 14 2026
    Episode 51 of Conversion Rate Optimization with Fexingo dives into a cautionary tale: how a SaaS company lost 40% of its trial-to-paid conversion by testing button color—without controlling for user intent. Lucas and Luna unpack the difference between surface-level A/B tests and meaningful behavioral experiments, explaining why the same button color can double or halve conversion depending on whether the visitor is in 'research' or 'ready-to-buy' mode. They walk through the methodology: segmenting by traffic source, measuring time-on-page as a proxy for intent, and analyzing the interaction effect between button color and user stage. The episode also touches on how novelty effects can mask these flaws, and why a 12-variant test without segmentation is just noise. By the end, listeners learn a concrete framework: never test a surface element without first splitting by intent signal. A brief, natural donation segment near the end reminds listeners that Fexingo stays ad-free thanks to community support at buy me a coffee dot com slash fexingo. #ConversionRateOptimization #ABTesting #ButtonColor #UserIntent #SaaS #TrialToPaid #CROStrategy #LandingPages #MarketingExperiments #Segmentation #NoveltyEffect #StatisticalSignificance #FexingoBusiness #BusinessPodcast #Marketing #DigitalMarketing #UXTesting #BehavioralEconomics Keep every episode free: buymeacoffee.com/fexingo
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    11 mins
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