Sharing my stats
Hi everyone! I thought I'd share the user data I'm working with after @jpusateri asked about it. They're nothing amazing, but kinda cool none-the-less.
This is for Brooklet which is a customizable personal data journal
– https://www.brooklet.app/download
Retention
7.7% new sign-ups stay for a month +
5.4% new sign-ups stay for 3 months +
Active Users
10 Weekly active users*
18 Monthly active users*
*not including new signups
Active/Retained users over time
(See image)
"Monthly active users (MAU)" is the number of unique users who have signed up this month.
"MAU - Retained users" is the number of unique user total (A) minus the number of unique signups (B) (A - B)
Likewise with weekly.
I started tracking signups in June. I wish I had started signup tracking right away.
Whats next?
I'll be releasing the Premium version of the app soon. I'm ready to track premium user signups so that I can track paid retention rate.
I want to rev this engine a little bit and see how many people stick with the app. So I'll be marketing to get more sign-ups. See what it takes to get to, say, 210 paying users, which would provide $1000/mo in revenue.
What about you?
How do you track your numbers? What are your key metrics? What are your plans for improvement?
Thanks for sharing.
For analytics I'd use per-day retention instead of 1 and 3 month. With early stage products there is often up to 90% or so tire kickers that signup, login once, fiddle around for a minute and then vanish. Measuring and optimizing those tire kickers is also important, but they distort your 1 month retention numbers massively, and you loose measurement of "real" retention (non tire kickers).
Couple of other key metrics that you miss are per user session frequency and duration; those answer how much your app is actually being used.
Thanks for the tips! Especially the additional stats to shoot for
Thank you, I enjoy seeing and learning from real life stats :)