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

Most marketers think A/B testing is the gold standard. But when you have multiple elements to optimize, traditional A/B tests can fail or take forever. In this episode, Lucas and Luna explore Multivariate Testing (MVT) — a method that tests combinations of changes at once on complex pages like ecommerce PDPs and SaaS pricing tables. They break down a real case from a mid-market DTC brand that used...

Most marketers think A/B testing is low-risk. Run a test, pick the winner, move on. But a single flawed test can cost a company millions in lost revenue — not from a losing variant, but from a false positive that sends the business in the wrong direction for months. In this episode, Lucas and Luna break down the concept of opportunity cost in A/B testing. They walk through a real-world scenario: a...

Episode 5 of Conversion Rate Optimization with Fexingo tackles one of the most overlooked pitfalls in A/B testing: peeking at results. Lucas and Luna walk through a real-world case where a $500,000 checkout-flow redesign looked like a clear winner after one weekend, only to flip negative by the time the trial reached statistical significance. They explain the math behind sequential testing, why Ba...

Episode 4 of Conversion Rate Optimization with Fexingo dives into the most overlooked element of A/B testing: sample size. Lucas and Luna break down why most marketers run tests that are too small to detect real improvements, using a concrete example from a mid-sized e-commerce brand that wasted six months on inconclusive results. They explain statistical significance, power analysis, and minimum...

Ever wonder how Amazon decides which new feature to roll out and which to kill? In this episode of Conversion Rate Optimization with Fexingo, Lucas and Luna dig into Amazon's internal culture of 'failing fast' through rigorous A/B testing. They explore the famous 'two-pizza team' structure, the statistical thresholds Amazon uses to avoid false positives, and a real example of a feature that was sc...

In this episode, Lucas and Luna dive into Netflix's A/B testing culture, exploring how the streaming giant runs experiments on everything from artwork thumbnails to the exact shade of a play button. They break down Netflix's 'micro-experiment' philosophy, why they test one variable at a time even at massive scale, and how even tiny lift percentages translate into millions of additional viewing hou...

In this debut episode of Conversion Rate Optimization with Fexingo, Lucas and Luna dive into Booking.com's legendary testing culture. With over 1,000 concurrent A/B tests running at any time, the travel giant treats every pixel as a hypothesis. We break down their 'test everything' philosophy — from button colors to price-display formatting — and explore how they avoid common pitfalls like false p...