In this follow-up jam-packed 23-minute video interview, Mercer outlines the top three reasons why you need to start playing around with GA4 -- now!
While there are already plenty of resources out there on GA4, this tutorial is specifically for A/B testers optimizers interested in better understanding GA4.
Listen and learn from one of the foremost analytics experts in the field.
Unlock Access. Sign up to become a Pro Member. Get complete access to this helpful content, plus so much more.
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.
Understanding and calculating statistical significance is quite complex. Many experimenters don’t truly know what statistical significance is or how to derive a statistically significant test result. To properly call a winning (or losing) A/B test, it’s really important to clearly understand what a statistically significant result is and means. This article, written in plain English is here to set it all straight for you.