Cohort analysis shows you what certain users are doing on your app over time and helps you understand your potential target demographics. Compare two sets of data to get an overview of your app's health and decide how much you should spend on marketing to generate platform use.
Mull over your app cohort analysis data comfortably using a visually pleasing table that acts as a heatmap. Here we highlight all the biggest amounts using bright colours when comparing your two chosen sets of data.
Subscription-based apps are built around a revenue per user model (usually monthly). When relying on subscriptions, it is important to be able to forecast for the purpose of budgeting. So it makes sense for a business to understand the differences between different cohorts.
Retention cohort analysis is a way to measure the retention of cohorts over time. Cohort user retention metrics are not only a way to see how happy your clients are, but also a way to get data on the metrics of customer satisfaction and what is altering subscriber behavior. If you know the reasons behind renewals, then you already have a road map to follow.
A cohort analysis example for subscription would be comparing subscriptions vs countries, based on revenue. You could also compare the subscribers who made additional in-app purchases vs those that did not.
This is a perfect way to understand which parts of your product and marketing efforts are providing you with the best results or provide solutions to marketing efforts that have come up short.