Calculating a single retention rate (D7 retention rate for example) could be useful when you compare funnels. Imagine you test several onboarding flows. To compare them you need to calculate multiple metrics for each user cohort (in this case a cohort is all users who had a certain onboarding flow):
- signup rate
- activation rate
- unit economics (like ARPU)
- D7 retention rate
We’ll implement a similar analysis in the chapter about AB-tests. For now, it’s just an example when a single retention rate could be useful.
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About SQL Habit
Hi, it’s Anatoli, the author of SQL Habit.
SQL Habit is a course (or, as some of the students say, “business simulator”). It’s based on a story of a fictional startup called Bindle. You’ll play a role of their Data Analyst and solve real-life challenges from Business, Marketing, and Product Management.
SQL Habit course is made of bite-sized lessons (you’re looking at one atm) and exercises. They always have a real-life setting and detailed explanations. You can immediately apply everything you’ve learned at work.