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.

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.

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.

It's crucial to analyze quantitative data, like user logs and retention curves, to understand how your product is actually being used, rather than relying solely on user feedback.

You don't need to check cohort retention curves multiple times a day; refreshing them weekly or bi-weekly is sufficient to catch significant changes.

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.

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.

The ideal cohort retention curve not only flattens but also increases over time, indicating that users are becoming more engaged with your product.