When evaluating cohort retention, focus on the overall shape of the retention curve rather than isolated metrics from specific time points. Be cautious when using analytics tools for measuring cohort retention, as they may not accurately reflect what you think they do.

If your cohort retention curves are not improving, it's crucial to engage with your users to understand their needs and make necessary adjustments.

Visualizing cohort retention trends helps you understand how user engagement changes over time relative to the initial cohort size, allowing for better analysis of user retention. Cohort retention curves are essential for understanding user engagement over time, as they track the percentage of new users who return to use the product repeatedly.

Choose a time period for measuring cohort retention that aligns with how frequently you expect users to engage with your product, such as daily for social apps or weekly for utility apps.

It's important to build your own cohort retention curves using your logs or Google Sheets to develop a better understanding of your data.

The key insight from cohort retention curves is that the shape of the curve matters more than the absolute number of users; a flat curve indicates potential for user accumulation over time.

To effectively measure cohort retention, define how to group new users into cohorts based on when they first used your product, such as weekly or monthly.

When measuring cohort retention, track individual groups of new users over time instead of mixing all users together, which provides clearer insights into user behavior.

If your cohort retention curves do not flatten out, it suggests that you haven't yet created a product that users want to keep using.