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

In episode 82 of Conversion Rate Optimization with Fexingo, Lucas and Luna dive into a specific case where a CRO team used session replays — not A/B tests — to uncover a subtle layout shift that was silently destroying conversions on a SaaS pricing page. They walk through the team's process: watching 200 recordings, identifying a 'fatal flash' that caused accidental clicks, and fixing it without a...

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 — ac...

Episode 80 of Conversion Rate Optimization with Fexingo. Lucas and Luna break down a specific case: how a mid-size SaaS CRO team at a company called LeadBridge slashed their average A-B test cycle from fourteen days to just four — without sacrificing statistical rigor. The episode walks through three concrete changes they made: switching from a frequentist to a Bayesian analysis framework, introdu...

Lucas and Luna examine a surprising CRO case from a mid-market SaaS company that increased landing page conversions by 30 percent simply by deleting a single optional form field: the phone number. They break down why that field hurt conversion, what the data showed about visitor psychology, and how a minimalist form strategy can outperform conventional 'more data is better' thinking. The episode d...

Episode 78 of Conversion Rate Optimization with Fexingo dives into a practical trick that CRO teams are using to cut experiment duration in half without sacrificing accuracy. Lucas and Luna break down the concept of variance reduction — specifically how pre-experiment data and covariate adjustment can shrink the sample size needed to reach statistical significance. They walk through a real case fr...

In episode 77 of Conversion Rate Optimization with Fexingo, Lucas and Luna unpack a real-world cautionary tale: how adding one optional field to a checkout form caused a 27 percent drop in completed purchases at a mid-market e-commerce brand. They walk through the before-and-after data, explain why 'optional' still feels like work, and debate when adding friction actually helps—versus when it sile...

In this episode of Conversion Rate Optimization with Fexingo, Lucas and Luna dissect a classic CRO blunder: the time a large e-commerce brand changed their checkout button from green to red and saw conversions drop by 12 percent. They explore the psychology of color perception, the importance of contextual testing, and why 'best practices' can backfire. Using real data from a $50 million annual re...

Episode 75 of Conversion Rate Optimization with Fexingo: Lucas and Luna dig into why traditional A-B tests that only measure the final conversion rate miss half the story. Using the real-world case of an online mattress retailer, they show how a landing page variant that appeared to lose actually outperformed the control when analyzed at each funnel stage—awareness, consideration, decision. Lucas...

Episode 74 of Conversion Rate Optimization with Fexingo. Lucas and Luna unpack a common but costly mistake in A-B testing: optimizing for a single conversion metric without considering downstream effects. Using a detailed example from an e-commerce checkout experiment, Lucas shows how a change that boosted click-through rate by 12 percent actually decreased revenue per visitor by 8 percent because...

Lucas and Luna dig into a counterintuitive CRO case: a well-known subscription service ran an A/B test changing its 'Start Free Trial' button from green to blue, expecting a lift, and saw conversion drop 12 percent. They unpack why colour changes fail when they ignore user expectations, the psychology of habitual design patterns, and how the team recovered by reverting the change and running a fol...

Many CRO practitioners run A-B tests without calculating the required sample size first — and end up with inconclusive or misleading results. In this episode, Lucas and Luna dig into why sample size matters, using a concrete example: a landing page test aiming for a five percent lift in conversion rate. They walk through the risks of stopping too early, the math behind statistical power and signif...

Lucas and Luna dive into a surprising A-B test where a B2B SaaS company saw a 14 percent conversion lift simply by switching from a sans-serif font to a serif font on their landing page. They unpack the psychology behind the change, discuss the importance of typography in conversion rate optimization, and explain why testing even seemingly minor design elements can yield significant results. The e...

In episode 70 of Conversion Rate Optimization with Fexingo, Lucas and Luna explore why traditional frequentist statistics can lead CRO teams astray. They walk through a concrete example: a SaaS company that ran a classic A-B test on a pricing page, got a p-value of 0.04, declared a winner, and then saw results reverse within a week. The hosts explain how Bayesian analysis—using prior data and post...

Lucas and Luna challenge the classic A-B testing framework and introduce sequential testing. They explain how traditional fixed-horizon tests inflate false positives and waste traffic, and how sequential analysis lets you peek at results without penalty. The hosts walk through a real example: a landing page test that reached significance in four days instead of two weeks, saving the marketing team...

Lucas and Luna dig into the 'winner disappears' phenomenon in A-B testing—when a variant that crushes the control in the test flatlines after launch. They trace the root cause to Simpson's paradox and segmented analysis, using a real-world case from a mid-market e-commerce company that saw a 12 percent conversion lift vanish within 72 hours. The hosts explain how hidden demographic segments (mobil...

Lucas and Luna dissect a real A-B test where replacing one lifestyle photo on a landing page — a woman looking at her phone instead of smiling at the camera — boosted conversion by 34 percent. They explore why gaze direction matters, how eye-tracking heatmaps reveal attention patterns, and when to test imagery over copy. Plus, Lucas shares a framework for prioritizing image tests based on page scr...

Episode 66 of Conversion Rate Optimization with Fexingo tackles a common CRO pitfall: running an A-B test without first segmenting your audience. Lucas and Luna walk through a real example from a B2B SaaS company whose overall test showed no winner, but segmented by user persona revealed a 34 percent lift for IT managers and a 12 percent drop for freelancers. They explain why segmentation before l...

In this episode of Conversion Rate Optimization with Fexingo, Lucas and Luna dive into a counterintuitive insight: A-B test winners often fade within days of launch. They walk through a real case from a B2B SaaS company that saw a 19 percent lift on day one of a new landing page — only to see it vanish by day seven. The culprit? Recency bias in the test audience. Lucas explains why a seven-day hol...

Episode 64 of Conversion Rate Optimization with Fexingo tackles a frustrating experience: running an A-B test that shows a clear winner, only to have the conversion lift vanish completely after you roll out the winning variant. Lucas and Luna break down the real culprit — regression to the mean in high-traffic experiments — using a concrete example: a media site that tested two article layouts ove...

In this episode, Lucas and Luna dive into the power of micro-copy: the tiny words on buttons, form labels, and trust signals that can make or break a conversion. They dissect a specific case from a B2B SaaS company, where changing a button from 'Start Free Trial' to 'See My Custom Demo' increased demo requests by 183 percent. They explore why specificity triggers higher intent, how risk-reversal l...

In this episode, Lucas and Luna dissect a specific email A/B test that lifted conversion by 23 percent—not by changing the offer, design, or call-to-action, but by rewriting a single subject line. They walk through the original line, the winning variant, and the psychological trigger that drove the difference. Luna shares a counter-example from her own inbox where a subject line tanked an otherwis...

In this episode, Lucas and Luna dig into a real A-B test from a B2B SaaS company that found a 23 percent conversion lift just by changing one word in an email subject line. They walk through the original subject line, the variant, the sample size, the statistical significance, and the surprising reason the change worked—and they discuss why most email subject-line tests fail because they test the...

Testing subject lines via email sounds easy, but most companies destroy their data by sending at the wrong time, to the wrong segment, or without accounting for recency bias. In this episode, Lucas walks through a concrete case: a B2B SaaS company that ran a 50-50 split on a newsletter subject line — 'Your Monthly Report' vs. 'Your Custom Report Is Ready' — and got radically different open rates d...

In this episode of Conversion Rate Optimization with Fexingo, Lucas and Luna explore the concept of competitive benchmarking for A-B tests. Using a real-world example from an e-commerce fashion retailer, they discuss how analyzing a competitor's checkout flow led to a 6.7 percent increase in conversion rate. Lucas explains why you shouldn't blindly copy tests and how to adapt insights to your own...

Episode 58 of Conversion Rate Optimization with Fexingo: Lucas and Luna unpack why running an A-B test without pre-slicing your audience by segment can hide winning and losing variants. Using a real-world example from a mid-market SaaS company, they walk through how a test that showed 'no winner' actually uncovered a 23 percent lift for mobile users and a 9 percent drop for desktop users — complet...