I’ve been diving into cohort analysis for our app, and it’s revealing some interesting patterns.
Seeing how different user groups behave over time is eye-opening.
Curious how others are using cohort data to drive decisions. What metrics do you focus on most?
Cohort analysis is gold for finding what makes users stick around.
I track retention and revenue per user, but also look at feature adoption rates. It shows which parts of the app people actually use long-term.
Comparing cohorts by acquisition source is eye-opening too. You might find some channels bring in way more valuable users than others.
Just pick a few key metrics to focus on. Too much data gets overwhelming fast.
Cohort analysis has been a game-changer for us. We mainly use it to track retention and revenue per user over time.
One thing that’s been super useful is comparing cohorts based on acquisition channels. We noticed users from Facebook ads had way higher 30-day retention than organic installs.
We also look at feature adoption rates by cohort. Helps us see if new features are actually sticking with users long-term or just getting initial curiosity.
Recently started tracking cohorts by first action in the app. Users who completed our onboarding quiz had much better retention than those who skipped it.
My advice? Don’t get lost in all the data. Pick 2-3 key metrics and track those consistently across cohorts. It’ll help you spot real trends faster.
We look at retention mostly. Seeing which features keep people coming back helps us decide what to work on next. Not rocket science, but it works for us.
Retention and revenue per user are the big ones. But don’t overlook activation metrics.
We track how quickly users hit key milestones in their first week. Things like completing a profile, making a first purchase, or inviting friends.
Those early actions are strong predictors of long-term retention. If a cohort has low activation, we know to focus on improving onboarding or first-time user experience.
Comparing cohorts by feature usage is also valuable. Shows which parts of your app drive stickiness.
Keep it simple though. Too many metrics leads to analysis paralysis.
We track weekly active users by cohort. Shows us which features keep people hooked.