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.

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.

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.

Cohort retention tracks the fraction of new users who continue using your product over time, providing a quantitative measure of user engagement.

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

It's crucial for retention curves to flatten out at some point; a 20% retention that stabilizes is better than a higher retention that declines to zero.

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.

Improving your product by adding new use cases or simplifying user flows can positively impact your cohort retention curves.

If your retention curve slopes downwards, it indicates a lack of product-market fit, regardless of initial growth metrics.