To increase free-to-paid trial conversions, should you use info icons with hoeverable details or simple checkmarks? Take your guess on this interesting icon A/B test before seeing the results.
Could changing the wording of a single Call To Action (CTA) button help turn more mobile shoppers into buyers? Take your best guess on this creative copy A/B test to find out.
To increase bookings, should you show your prices from lowest to highest? Or switch them to show from highest to lowest? Take your guess on this prime pricing A/B test before seeing the results.
One of the most debated testing topics is how large does my sample size need to be to get trustworthy test results? Some argue samples of more than 120,000 visitors per variant are needed to begin to see trustworthy test results. Ishan Goel of VWO disagrees. What does he think is needed to get trustworthy test results? Listen to this webinar recording to find out.
The testing landscape is about to turn on its head. With Google Universal Analytics (UA) platform gone, GA4 in, and the sunsetting of Google Optimize, it's a lot to keep up with! What should you do to keep up with all these major changes? Analytics expert, Dana DiTomaso, clearly spells out your next best steps.
Soon, third-party cookies will be blocked by most major web browsers leaving optimizers and experimenters desperately picking up the crumbled pieces. In A/B testing, there will be no easy way to track user events or behaviors -- let alone measure conversions. What's going to happen to A/B testing in a cookieless world?
A replay of the 2026 Best in Test awards ceremony.
Evaluates how Kameleoon’s PBX performs in real-world workflows. Across moderated usability sessions, initial variants were generated 5–10× faster than manual builds.
Access a filterable index of A/B testing, personalization, analytics, and feature-flag platforms. Scan for primary use cases, business fit, and screenshots at a glance. Find the right tool for your stack and start testing smarter, faster with AI tools that help you optimize for conversions.
How many visitors do I need to run a statistically significant A/B test and achieve valid, reliable results? This article will tell you everything you need to know to correctly calculate sample size and test duration for a split-test. Learn sample size best practices and industry-standard tools.
Calculating the Minimum Detectable Effect (MDE) can feel like a hair-pulling, speculative exercise. Luckily, this step-by-step guide is here to show you exactly how to accurately calculate your MDE to yield powerful, trustworthy test results.
Low sample testing is problematic and can result in hugely mis-leading data where tests appear to be enormous winners but, in actuality, aren't. This article presents a practical 5-step approach to overcome the traps of low sample testing and arrive at valid, trustworthy results. What are the 5-steps? Find out here.
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