A/B testing is an experiment that involves serving two different variations of the same element to website users simultaneously and comparing the results to determine which variation performs better.

Segment your audience to understand nuanced behaviors, and tailor A/B tests accordingly for more accurate insights. Ensure A/B tests run for a sufficient duration to capture meaningful data. Rushing ...

Improve your website's performance and drive more conversions with better A/B testing. Here's how to set it up using Microsoft Clarity and GA4. As a marketer, you want to improve your website’s ...

In today’s fast-paced digital landscape, where user expectations are constantly evolving and competition is only a click away, building successful products is no longer about guesswork or intuition—it ...

What makes a good headline? Over-the-top superlatives? Clever wordplay? Eye-popping numbers? Newsrooms grapple with this question on a daily basis. Headline writing is an art, a careful balance of ...

A/B-testing should help you get better results—not waste your budget. But without structure or a clear hypothesis, it often becomes a series of tests of random changes. The key is to focus on the ...

Have you ever implemented the top-performing variation from a PPC ad copy A/B test but don’t actually see any improvement? This happens more often than you’d think. A/B testing works – you just need ...

James Glover (CEO of Flint Learning Solutions) helps HR professionals transform behaviors in their organizations to solve business problems. Providing professional development opportunities is ...