Retention Rate
Retention rate is the percentage of users from a starting cohort who are still active after a defined period.
What it means
If 100 people sign up today and 40 of them are still using your product 30 days later, your 30-day retention rate is 40%. Retention is the inverse of churn: high retention means users stick around, low retention means they don't.
Retention is usually measured at intervals: day 1, day 7, day 30, day 90. Each tells you something different. Day 1 retention catches activation issues. Day 7 retention shows whether users built a habit. Day 30+ retention shows long-term product fit.
Good retention curves flatten out over time. New users churn fast in the first few days, but the users who stick around tend to stay. A flat retention curve at 40% means you have a real product. A curve that keeps falling toward zero means you're losing customers faster than you can replace them.
Why it matters
Retention is the highest-leverage growth metric. Every 10-point improvement in retention compounds through your entire business: lower CAC payback, higher LTV, and a stable user base that grows from referrals. You can't grow a leaky bucket.
How to calculate retention rate
Retention Rate = (Users at End / Users at Start) × 100
Divide active users at the end of a period by users who started in that cohort, then multiply by 100.
Example with real numbers
Concrete example showing how this metric works in practice.
Scenario
100 users signed up in January. By end of February, 35 of them are still using the product.
Calculation
(35 / 100) × 100 = 35%
What it means
Your 30-day retention is 35%. For a SaaS product, that's average. The bigger question is what happens at day 60 and 90. If the rate stabilizes at 35%, you have a real product. If it keeps falling, you have a leak.
What's a good number?
Typical benchmarks. Always compare against your own historical data first, industry averages second.
Day 30 below 20%
Day 30 20% to 40%
Day 30 40% to 60%
Day 30 above 60%
These are typical SaaS day-30 benchmarks. Consumer products vary much more widely. The most important benchmark is your own retention curve over time and whether it's flattening.
Common mistakes
Things people get wrong when measuring retention rate.
Mistake 01
Looking at average retention instead of cohort retention. Cohorts (groups who signed up at the same time) tell you the real story.
Mistake 02
Confusing retention with engagement. Users can be retained (still active) but disengaged (using the product less).
Mistake 03
Not segmenting by acquisition channel. Users from different sources retain very differently.
Mistake 04
Trying to fix retention without fixing activation first. If users never activate, no retention strategy will save them.
How to track it
Group users by signup date (cohorts) and track how many are still active at day 1, day 7, day 30, day 90. Plot the curve. The Muro Retention Health Check tool walks through this for any product.
Free tools to help
Muro built free calculators and analyzers around this metric.
Related concepts
Other terms worth learning if you're studying this one.
Common questions about retention rate
Retention rate is the percentage of users from a starting group who are still active after a specific period. It measures whether your product keeps users coming back.
For SaaS, 40% to 60% day-30 retention is good. Below 20% is concerning. The exact number matters less than the shape of the curve: a flat curve (even at lower rates) is healthier than a falling one.
Fix activation first (users who never activate can't retain). Then look at why active users disengage: missing features, unclear value, no habit formed. Retention improvements compound over time.
They're inverses. If your retention is 40%, your churn is 60%. Both measure the same thing from opposite directions.