MarketingExperiments - Research-driven optimization, testing, and marketing ideas

In this article, we’ll zoom in on one example of a selection effect that might cause a validity threat and thus misinterpretation of results — running multiple tests at the same time — which increases the likelihood of a false positive.

How does Adobe define bounce rate? What’s the difference between exit and bounce rate? And how can these numbers be meaningfully used to better serve customers and ultimately improve results? Let’s take a closer look at some of the numbers…

We’ve taken a peek into our analytics to see what most interested our readers in the past year, and are sharing the most popular MarketingExperiments conversion optimization, A/B testing and value proposition content in 2017. Read on to get…