Estimate seed stage customer retention from starting customers, new customers, and ending customers. Use the result to judge product stickiness, churn risk, and whether your startup is retaining enough users to support fundraising.
Enter the customers you had at the start of the period, the new customers acquired during the period, the customers at the end, and the number of months covered.
The calculator separates retained customers from newly acquired customers so the result reflects real customer retention, not just total growth.
A higher retention rate means the startup is keeping existing customers and has a stronger base for compounding growth. A weak result signals onboarding, product value, or customer success problems.
For seed-stage SaaS, retention above 90% is strong, 75% to 90% is workable, and below 75% needs immediate churn investigation.
If you started with 500 customers, added 120 new customers, and ended with 560 customers, retained customers are 440 and retention is 88.00%.
Subtract new customers from ending customers, then divide retained customers by starting customers. This isolates how many original customers stayed through the period.
Many seed-stage SaaS startups should aim for 85% to 90% or higher logo retention over short periods, while lower retention usually requires churn analysis before scaling acquisition.
If churn causes retention to fall below about 75% over a short measurement period, investors may view growth as fragile unless there is a clear retention improvement plan.
Use ending customers minus new customers. The result estimates how many customers from the starting base remained active.
Yes. New customer acquisition can make total customer count look healthy even when many existing customers are leaving, so retention should be calculated separately.
| Metric | Meaning |
|---|---|
| Primary metric | Retention Rate |
| Decision use | Use this result to judge startup health, investor readiness, and next operating priorities. |
| Benchmark | For seed-stage SaaS, retention above 90% is strong, 75% to 90% is workable, and below 75% needs immediate churn investigation. |
| Recommendation | Improve the weakest driver before scaling spend or fundraising assumptions. |