Unit economics
Turn free signups and a conversion rate into real paid ARR.
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- Claude, via MCP
How much ARR will my freemium product generate?
Multiply monthly free sign-ups by the free-to-paid conversion rate, then by paid ACV. With 3,000 sign-ups a month, 4% converting and ₹12,000 ACV, you add 120 paying customers and ₹14.4 lakh of ARR a month, or ₹1.73 crore a year. A 2.5-month upgrade lag keeps about ₹36 lakh of ARR in the pipe.
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.
Paid conversions, new ARR and ARR in the pipe
Paid conversions per month = Free sign-ups × Free-to-paid rate New ARR per month = Paid conversions × Paid ACV New ARR per year = New ARR per month × 12 ARR in the pipe = New ARR per month × Average months to upgrade
- Free sign-ups
- New free accounts created each month.
- Free-to-paid rate
- Share of a month's sign-ups that eventually become paying customers.
- Months to upgrade
- Average time from sign-up to first payment.
- Paid ACV
- Annual value of a new paying customer.
ARR in the pipe is a snapshot of revenue that is on its way but not yet paid; it is not extra revenue on top of the annual figure. The model ignores churn among new paying customers, so subtract early churn for a realistic net figure. Measure conversion by sign-up cohort, not by dividing this month's upgrades by this month's sign-ups.
Worked example: 3,000 sign-ups a month
A SaaS company with a free plan gets 3,000 sign-ups a month. Cohort data shows 4% become paying customers, on average 2.5 months after signing up, at ₹12,000 a year.
- Paid conversions = 3,000 × 4% = 120 a month.
- New ARR per month = 120 × ₹12,000 = ₹14,40,000.
- New ARR per year = ₹14,40,000 × 12 = ₹1.73 crore.
- ARR in the pipe = ₹14,40,000 × 2.5 = ₹36,00,000.
- Lifting conversion to 5% adds 30 customers and ₹3.6 lakh of ARR a month, the same as 750 more sign-ups.
Conversion is often cheaper to improve than sign-up volume: better onboarding, clearer limits on the free plan and a well-timed upgrade prompt. Check whether your product suits a free plan at all with the product-led growth feasibility grader, and see which features drive upgrades with the product usage frequency grader.
What is a good free-to-paid conversion rate?
It depends on how generous the free plan is and who signs up. The tool treats 3% or more as healthy and under 1.5% as weak; these are its own thresholds. Better tests:
- Conversion among activated users: sign-ups who reach the product's key action should convert much better than all sign-ups.
- Trend by cohort: is each month's cohort converting better than the last?
- Free plan cost: free users cost money to serve, so a low rate on a costly free plan can lose money.
Freemium in India vs the US
Indian SMB users are often willing to stay on free plans for a long time, so conversion rates can be lower and upgrade times longer. Pricing in rupees, UPI and card payment options, and monthly plans with a low entry price can lift conversion. Indian freemium products selling globally usually see higher conversion and ACV from US and European users.
US buyers are used to self-serve upgrades by card, so in-product upgrade prompts and usage limits do much of the selling. Product-qualified leads, free users whose usage signals buying intent, are often handed to sales for larger accounts. Plan the paid tiers with the seat vs usage pricing calculator.
Common freemium modelling mistakes
- Dividing this month's upgrades by this month's sign-ups instead of using cohorts.
- Ignoring churn among newly paid customers.
- Counting spam or duplicate sign-ups in the denominator.
- Making the free plan so generous that nobody needs to upgrade.
- Ignoring the cost of serving free users.
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.
A free plan lasts indefinitely with limits. A free trial gives full access for a set time. Trials usually convert at higher rates because the deadline forces a decision.
A free user whose product usage shows buying intent, such as inviting colleagues or hitting a plan limit, and who is routed to sales or a targeted upgrade offer.
Usually conversion, because more sign-ups into a weak conversion funnel mostly adds free users who cost money to serve.
Numbers looking off?
If the model says one thing and the pipeline says another, that gap is usually where the revenue is. A 30-minute call finds it.
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