Freemium-to-Paid Pipeline Modeler
Turn free signups and a conversion rate into real paid ARR.
A 4% free-to-paid rate is healthy, those 3,000 signups convert to $1,728,000/year. Mind the 2.5-month lag when forecasting.
Free signups only matter once they convert. Track free-to-paid and time-to-upgrade, or top-line signup growth will mask a stalling paid pipeline.
About this calculator
Free signup growth is only a vanity metric until it converts, and a freemium motion lives or dies on the conversion rate and the lag between signup and payment, not the raw top-of-funnel volume. This modeler traces monthly signups through your free-to-paid conversion rate and average time-to-upgrade to show the paid customers, the new ARR, and the ARR still sitting in the upgrade pipeline that your funnel is actually producing.
How to use it
- Enter free signups per month.
- Enter your free-to-paid conversion rate.
- Enter the average time to upgrade, how many months typically pass between signup and becoming a paying customer.
- Enter paid ACV, and read the monthly and annual new ARR generated, plus the ARR still "in the pipe" because of the upgrade lag.
Methodology
Paid conversions per month is signups times conversion rate. New ARR per month is that conversion count times paid ACV, and annual new ARR simply annualizes the monthly figure by multiplying by 12.
"ARR in the pipe" is new ARR per month times the average time-to-upgrade in months, an estimate of how much ARR is effectively delayed at any given moment because signups don't convert instantly. It's a stock figure (a snapshot of ARR currently working its way through the conversion lag), not additional revenue on top of the annual figure.
The tool grades conversion rate into three bands: 3% or higher is healthy, 1.5-3% is a caution zone, and below 1.5% signals weak monetization, since most freemium products in this general benchmark range see meaningful revenue only above roughly 2-4% conversion.
This model assumes a constant monthly signup volume, conversion rate, and upgrade lag. It doesn't account for signup quality changing over time (a paid acquisition channel that drives volume but low-intent signups will convert worse than organic, high-intent traffic), so segment your inputs by channel if your funnels differ meaningfully.
FAQ
Because it tells you how much ARR is stuck in transit at any moment, useful for cash flow and forecasting timing, not just totals. A 2.5-month lag means roughly two and a half months of new ARR is always "pending" rather than already recognized, which matters when you're projecting near-term revenue.
It varies widely by product and pricing model, but this tool treats 3%+ as healthy, 1.5-3% as workable but worth improving, and under 1.5% as a sign that activation or the upgrade trigger needs attention before pouring more into top-of-funnel signups.
Conversion rate is usually the higher-leverage fix, doubling a weak conversion rate doubles paid ARR from the same signup volume, while doubling signups without fixing conversion just doubles the number of people who never pay. This tool makes that trade-off visible: rerun it with a higher conversion rate to see the ARR impact directly.
No, this tool models the conversion event itself, signups becoming paying customers, not what happens to them afterward. Pair it with the SaaS Churn Cohort Visualizer or Net Revenue Retention Forecaster to see how much of this new ARR survives past the first year.