Free-to-paid conversion (freemium)
Core monetization lever of any freemium funnel.
- Formula
- Paying users / free users
- Unit
- %
- Models
- SaaS, Subscription
| self-serve freemium good | 3%–5% | Lenny x Kyle Poyar 2026; RevenueCat |
| self-serve freemium great | 6%–8% | Lenny x Kyle Poyar 2026; RevenueCat |
| ungated freemium good | 7%–9% | Lenny x Kyle Poyar 2026; RevenueCat |
| ungated freemium great | 8%–12% | Lenny x Kyle Poyar 2026; RevenueCat |
| mobile freemium D35 | 2.1% | Lenny x Kyle Poyar 2026; RevenueCat |
What it is
Free-to-paid conversion measures what fraction of free users convert to a paying plan in a freemium product. The formula is paying users divided by free users, expressed as a percentage. It applies to both B2B SaaS freemium and B2C subscription products.
How to calculate it
Divide the count of users who have made at least one payment by the count of free users in the same cohort or at the same point in time. Cohort-based measurement (e.g., what fraction of users who signed up in month M converted within 90 days) is more actionable than a snapshot ratio, because it separates the quality of recent acquisition from the accumulated base of long-term non-converting free users.
Why it matters
Free-to-paid conversion is the fundamental monetization efficiency metric for freemium businesses. Low conversion means either the free tier is too generous, the paid value proposition is unclear, or the wrong users are being acquired. It interacts directly with ARPU and LTV: a product with a low conversion rate but high ARPPU may still have superior unit economics to a high-conversion, low-ARPPU product.
Benchmarks & pitfalls
According to Lenny x Kyle Poyar (2026) and RevenueCat, self-serve freemium benchmarks are 3–5% for "good" and 6–8% for "great." Ungated freemium (no registration wall) benchmarks somewhat higher at 7–9% good and 8–12% great, reflecting self-selection effects. Mobile freemium conversion at D35 is approximately 2.1%, lower than SaaS norms due to the impulse-download behavior of mobile. The main pitfall is that "free users" in the denominator should exclude users who never engaged meaningfully — including low-intent registrants inflates the denominator and understates true conversion potential. Always segment by acquisition channel, as paid UA cohorts often convert at materially different rates than organic cohorts.