User Retention Charts
1. Read the data
2. Select the time range
We have data spanning 365 days, but we don't usually need to look so far back. Let's restrict our analysis to a specific time range.
3. Calculate retention
We're going to have to transform our data in order to calculate retention. This will involve a few steps:
Let's start by plotting a time series of each cohort's retention rate. This is useful for identifying changes over time. For example, we can see that our cohorts in September are performing much better than the ones in May through August.
Sometimes it's helpful to look at the number of users, not just the retention rate. It's also useful to visualize retention as a matrix, to find any outliers. Once again, we can see our September cohorts is doing well.