Setting a metric and goal for your team allows for data-driven operations, where you can monitor progress daily and adjust strategies accordingly. A low retention rate, like 6.25% after four weeks, indicates poor product-market fit; aim for at least 20-30%.

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.

Be cautious of measuring retention over too long a time period, as this can artificially inflate your retention metrics and mislead you about user engagement.

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

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.

A net dollar retention above 100% indicates that your customer cohorts are growing over time, while below 100% suggests they are shrinking, necessitating more effort to acquire new customers.

Measuring retention is critical; if you don't have a product that retains users, you shouldn't focus on growth yet.

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

Acquiring better users is essential; targeting the right customer can significantly improve your cohort retention rates.