Freemium conversion calculator
Whether the free tier pays for itself once you count the cost of serving users who never convert. See the formula, change the inputs and save your results.
On this page 6 sections
The short answer
Freemium conversion uses total users in the modeled cohort, free to paid conversion rate, monthly revenue per paid account and the additional inputs below to estimate monthly contribution. Change the example inputs to your own figures. The result is a planning calculation, not an industry benchmark or a prediction.
Key points before you start
Use this tool alongside the saas pricing guide. Whether the free tier pays for itself once you count the cost of serving users who never convert.
Your numbers
Defaults are illustrative inputs, not industry benchmarks. Use one consistent reporting period.
Results
Free users you did not pay to acquire.
Editable CSV worksheet
Save your marketing measurement plan
Keep a worksheet for your inputs, assumptions and next actions. You can also print the calculation directly from your browser.
Which inputs do you need?
| Input | Example value | What to check |
|---|---|---|
| Total users in the modeled cohort | 85,000 | Use the value from the same reporting period as the other inputs. |
| Free to paid conversion rate | 2.8% | Use the value from the same reporting period as the other inputs. |
| Monthly revenue per paid account | 26 | Use the value from the same reporting period as the other inputs. |
| Monthly cost to serve a free user | 0.22 | Use the value from the same reporting period as the other inputs. |
| Monthly cost to serve a paid user | 3.1 | Use the value from the same reporting period as the other inputs. |
| Share of new free users referred by existing free users | 34% | Use the value from the same reporting period as the other inputs. |
Before entering numbers, choose the unit of analysis. An account, a user and a paying subscription are different objects. Counting users in one field and accounts in another can produce a precise answer to the wrong question. Record the start and end dates beside your source export so another person can reproduce your work.
What formulas does the calculator use?
Paid users
paid = free * convert / 100This output is expressed as a number.
Monthly revenue
revenue = paid * arpaThis output is expressed as currency in the same units as the inputs.
Monthly cost to serve everyone
cost = (free - paid) * costfree + paid * costpaidThis output is expressed as currency in the same units as the inputs.
Monthly contribution
contribution = revenue - costThis output is expressed as currency in the same units as the inputs.
Conversion rate needed to break even
breakeven = (arpa - costpaid + costfree) > 0 ? costfree / (arpa - costpaid + costfree) * 100 : NaNThis output is expressed as a percentage.
Users attributed to referrals
cacoffset = free * viral / 100Free users you did not pay to acquire.
Percent fields use whole percentages: enter 5 for five percent. The formula divides by 100 where a decimal rate is needed. Values in the formulas correspond to the labelled inputs above; earlier outputs can be used by later formulas.
Worked example
The defaults are a constructed scenario, not results from a named company or survey. With the example inputs above, the calculation produces:
| Output | Example result |
|---|---|
| Paid users | 2,380 |
| Monthly revenue | 61,880 |
| Monthly cost to serve everyone | 25,554.4 |
| Monthly contribution | 36,325.6 |
| Conversion rate needed to break even | 0.95% |
| Users attributed to referrals | 28,900 |
Change one assumption at a time and watch the main result. Then test a conservative case by reducing the expected benefit or increasing the associated cost. If a decision works only at the most optimistic settings, investigate the uncertain input before committing the budget.
How should you interpret the result?
A formula describes the assumptions entered into it. It cannot establish that a channel caused a sale, that historical retention will continue, or that a projected cost is achievable. Compare the output with your own previous cohorts before using a broad market comparison.
For a management review, save the result together with the source date, segment, owner and planned action. Recalculate when the underlying input changes. Keep a separate copy of the original scenario so the team can explain the difference between the plan and the observed outcome.
Continue the analysis
Use the metrics guide to align definitions, browse all calculators for adjacent calculations, and keep a measurement worksheet beside the model. The pricing hub and growth hub cover decisions that often change these inputs.
Apply freemium conversion calculator in a working review
Record the source and unit of every input before using the result. Change one assumption at a time to understand which inputs matter most. Keep outputs that describe money, time and percentages distinct, and preserve undefined cases rather than converting them into plausible-looking zeroes.
For this topic, involve the pricing owner with finance, product and customer-facing input and work from offer scope, charging unit and scenario assumptions. The relevant unit is a defined customer segment and comparable commercial offer. State the question the review should resolve before choosing a chart, an asset or a tool. If participants disagree about the unit or scope, resolve that disagreement before combining their evidence.
Evidence to prepare
A price is meaningful only with its package, quantity, terms and serving requirements. Test whether buyers can predict the bill and whether the charging unit supports useful adoption. Keep willingness-to-pay statements separate from observed purchasing behavior.
| Review field | What to record |
|---|---|
| Topic | Freemium conversion calculator |
| Decision | The specific action this explanation should help you choose |
| Working evidence | offer scope, charging unit and scenario assumptions |
| Unit and scope | a defined customer segment and comparable commercial offer |
| Responsible people | pricing owner with finance, product and customer-facing input |
| Remaining uncertainty | The missing fact that could change the decision |
Two situations that can change the interpretation
When the pricing model ignores assisted delivery
A product that needs repeated specialist intervention may have different economics from a self-serve offer at the same advertised price.
Use this check: Estimate the actual support, implementation and maintenance effort for comparable cohorts. Do not treat every employee hour as removable cash cost.
The focused diagnostic guide provides the correction process and a working evidence sheet.
When a pricing test changes several things at once
A higher conversion rate after adding onboarding support does not isolate the effect of a simultaneous price reduction.
Use this check: List every difference between the compared cohorts and the question the design can support. A pricing experiment can affect real customers, so use an approved and clearly scoped operating process.
The focused diagnostic guide provides the correction process and a working evidence sheet.
Record the decision and the limit
An account may object to price because the required integration or implementation support is unclear. Discounting without resolving that concern can create a lower-priced failure. Compare the complete offer and the customer’s actual alternatives before treating every objection as a request for a concession.
Keep the conclusion beside the evidence that supports it. Record what the team will do, who owns the next action and which event or date will trigger a review. If the underlying definition, audience or product behavior changes, revisit the conclusion rather than assuming the old result still applies. A clear limit is useful information; it tells the next reader where additional investigation is required.
Use the complete topic collection for related methods and the category field guides when the product’s buying situation or implementation requirements change how the method should be applied.
A reproducible sensitivity exercise
The freemium conversion calculator tool provides a related numerical exercise. Its current default inputs are constructed examples, not industry observations. Under those defaults, the output labelled Monthly contribution is 36,325.6 in the tool’s displayed units. The table changes one input at a time and leaves the others at their defaults.
| Input changed | Default input | Alternative input | Monthly contribution after change |
|---|---|---|---|
| Total users in the modeled cohort | 85,000 | 102,000 | 43,590.72 |
| Free to paid conversion rate | 2.8 | 3.36 | 47,330.72 |
| Monthly revenue per paid account | 26 | 31 | 48,225.6 |
| Monthly cost to serve a free user | 0.22 | 0.26 | 32,690.32 |
| Monthly cost to serve a paid user | 3.1 | 3.72 | 34,850 |
| Share of new free users referred by existing free users | 34 | 40.8 | 36,325.6 |
The alternative inputs are sensitivity cases, not recommended targets. A result marked not defined means the proposed combination does not satisfy the model or produces an undefined ratio. Keep that state visible. If the output changes sharply after a small input change, investigate the uncertain input before using the model to justify a larger commitment.
Compare the model’s scope with the concept on this page. The calculator may represent one particular application rather than every use of the term. Record the reporting period, currency where relevant, and the source of the real values you enter.
Editable CSV worksheet
Save your marketing measurement plan
Keep a worksheet for your inputs, assumptions and next actions. You can also print the calculation directly from your browser.
Frequently asked questions
How does this freemium conversion calculator work?
It evaluates the formulas shown on this page in your browser. Whether the free tier pays for itself once you count the cost of serving users who never convert. Inputs are not sent to a calculation server.
Are the default values SaaS industry benchmarks?
No. They are example inputs chosen to demonstrate the calculation. Replace them with your billing, CRM or finance records before making a decision.
Why does a result show n/a?
The calculation is undefined or an input is outside its allowed range. Check for an empty field, a zero denominator or an impossible percentage before interpreting the result.
Can I save or share my calculation?
Use Print or save results to create a local PDF with your browser. Review the inputs before sharing and remove confidential customer or company information.
The saas-marketing.net editorial team Research and editorial
We research, write and maintain every page on this site. The library explains marketing decisions through practical frameworks, explicit assumptions and references. Corrections can be requested through the contact page.
Published September 17, 2026. Last updated .