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.

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.

Cohort analysis helps measure user retention over time. By tracking how many users return after their first use, you can assess the effectiveness of your product and identify areas for improvement.

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

Retention should be analyzed by looking at cohorts of users over time, assessing how many continue to use your product after signing up.

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.

To gauge product-market fit, measure how many users return to your product after a week or 30 days, and aim to exceed industry benchmarks for retention.

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.