Sample Question: WAU vs. Open Rates
Explore how to analyze conflicting metrics like weekly active users increasing while email open rates decrease. Learn to formulate hypotheses, segment data by platform and demographics, and investigate factors such as user retention, email fatigue, and tracking bugs. This lesson helps you develop a structured approach to diagnosing metric trade-offs in product analytics.
Problem
Try answering this on your own before continuing. Use the hints below if you are stuck.
Solution
Initially, we should assume that it is a debugging question and possibly a dive into trade-offs.
WAU (weekly active users) and email open rates are often directly correlated, especially if emails are used as a call to action to bring users back onto the website. An email that is opened and clicked would lead to an active ...