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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?
Unknown Host hosts Conversion Rate Optimization with Fexingo: A/B Testing, Landing Pages, and CRO Strategy.
Episode 34 of Conversion Rate Optimization with Fexingo tackles a painful, rarely discussed failure mode: the winner that vanishes the moment you deploy it. Lucas and Luna dig into the 'novelty effect' and the 'Hawthorne
In this episode of Conversion Rate Optimization with Fexingo, Lucas and Luna explore a case study that often gets overlooked: how a small e-commerce brand improved its checkout conversion rate by 12% simply by changing i
Lucas and Luna dig into one of the most misunderstood pitfalls in A-B testing: how your chosen success metric can make a perfectly run experiment give you the wrong answer. Using Booking.com's infamous failed test of a '
Most A-B tests ask 'which variant wins?' but the smartest CRO teams ask a different question first: 'what is the smallest change that could produce the largest effect?' In this episode, Lucas and Luna break down the 'min
Episode 30 of Conversion Rate Optimization with Fexingo. Lucas and Luna tackle one of the most frustrating problems in CRO: you run a textbook A-B test, get a statistically significant winner, implement it, and nothing h
Most marketers think bigger sample sizes always mean better A-B test results. In this episode, Lucas and Luna break down the sample size fallacy — why too large a sample can detect statistically significant but practical
Lucas and Luna dig into the science of landing page headlines — why most fail, and what actually works. They break down a specific case: how a SaaS company tested 17 headline variations and found that their highest-conve
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
Lucas and Luna dissect a common CRO mistake: social proof that hurts conversion. They use a real Booking.com test where adding '1,200 people are viewing this property' decreased bookings. They explain the psychological m
Episode 25 of Conversion Rate Optimization with Fexingo dives into one of the most controversial tactics in online commerce: artificial urgency. Lucas and Luna break down how Booking.com pushes users to book through coun
Netflix doesn't just recommend shows — it tests the artwork you see to maximize the chance you'll click play. In this episode, Lucas breaks down how Netflix runs massive A/B tests on thumbnail images, selecting from doze
In this episode, Lucas and Luna dive into how Booking.com uses A-B testing to create a sense of urgency on its hotel listing pages without resorting to deceptive tactics. They examine specific experiments — like showing
In this episode, Lucas and Luna dive into multivariate testing (MVT) and why it often outperforms simple A/B tests for complex pages. They use a concrete example from an e-commerce landing page with three elements — head
In this episode of Conversion Rate Optimization with Fexingo, Lucas and Luna dive into the surprising power of micro-copy changes — specifically, how one e-commerce company lifted revenue by over 10 percent just by rewor
In this episode of Conversion Rate Optimization with Fexingo, Lucas and Luna dive into how Airbnb continuously A/B tests its search ranking algorithm to balance user preferences with business goals. They break down the s
In this episode of Conversion Rate Optimization with Fexingo, Lucas and Luna dive into Duolingo's rigorous A-B testing culture. They explore how the language app runs hundreds of concurrent experiments on everything from
In this episode of Conversion Rate Optimization with Fexingo, Lucas and Luna dive into a surprisingly powerful A/B test led by Apple's product marketing team. They tested whether adding the word 'New' to a product page d
Lucas and Luna dive into one of the most consequential A/B tests in travel: how Booking.com discovered that showing a strikethrough original price next to the discount dramatically increased conversions. They break down
Lucas and Luna dig into the 'peeking problem' in A-B testing: why checking your results early—even once—can inflate your false-positive rate from 5% to over 50%. They break down the math with a concrete example from a 10
Episode 15 of Conversion Rate Optimization with Fexingo digs into the peeking problem — the most common practical mistake in A/B testing. Lucas and Luna use a concrete example from a mid-size e-commerce company to show e
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Conversion Rate Optimization with Fexingo: A/B Testing, Landing Pages, and CRO Strategy is hosted by Unknown Host. The show is categorised under Business and has published 0 episodes.
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