Glossary · Analytics
Retention Analysis
The measurement of how many users continue to use a product or service over time.
Retention analysis measures the proportion of users who return to a product after their initial use over subsequent time periods. Retention is typically visualized as a retention curve or cohort table showing the percentage of users who remain active at Day 1, Day 7, Day 30, and beyond. Key retention metrics include Day 1 retention (initial stickiness), Day 7 retention (weekly engagement), Day 30 retention (monthly engagement), and rolling retention (active within a moving window). Retention analysis helps product teams understand product-market fit, identify where users drop off, measure the impact of feature changes, and forecast long-term user base growth. Improving retention is often the highest-leverage growth strategy.
In practice
How AI for Database applies it
Fig — every answer ships with the tables, rows and SQL behind it.
Related terms
See it on your own database
Connect read-only in minutes. Free models included.