Cohort analysis of subscriptions: how to understand that the economy is converging?

Cohort analysis is a way to track the “density” of a metric for specific groups of users. Unlike regular graphs, cohorts show exactly the stickiness of users, distributed over time.





It sounds difficult, but in reality it's easier to understand. Let's take a concrete example: let's try to understand how the subscriber base behaves in a mobile application: how they pay, unsubscribe and how long they live. I will show the answers to these questions on the example of our implementation in Adapty .





Example of cohort analysis of subscriptions

, , . , , (ARPPU).





, () , , — ( 1). 1 , 2 . , , , . .





, . , . CPA , (CPI). , . , , , 2.





, $2900 73 .





, . 67 , 38, 10 ( , , ).





?

, $4000 , “ ?”, $4000 .





.





January cohort by month (first column - settings)
( — )

$2900 Apple, $2465 15% ( Apple SMB). , $10.





, 2 , 20%, 10% 24. , — 24 . $15.48 , ARPPU .





$4000 $1500, $372 , 4-5 . , , , , , , . , , , . .





The convergence of the subscription economy is a long-term process, I made a tool to test if the economy converges on your numbers - the Subscription Calculator . Try it to evaluate how to make money on mobile applications.








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