Free trial versus freemium scenario calculator
Compare first-period gross contribution for two signup models using your own acquisition and conversion assumptions. See the formula, change the inputs and save your results.
On this page 6 sections
The short answer
Free trial versus freemium scenario uses monthly trial signups, trial paid conversion, monthly freemium signups and the additional inputs below to estimate new trial customers. 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 marketing guide. Compare first-period gross contribution for two signup models using your own acquisition and conversion assumptions.
Your numbers
Defaults are illustrative inputs, not industry benchmarks. Use one consistent reporting period.
Results
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.
How to read this
- These are first-period cohort economics, excluding acquisition costs. Mature freemium populations accumulate free accounts and need a separate retention model.
Which inputs do you need?
| Input | Example value | What to check |
|---|---|---|
| Monthly trial signups | 1,000 | Use the value from the same reporting period as the other inputs. |
| Trial paid conversion | 15% | Use the value from the same reporting period as the other inputs. |
| Monthly freemium signups | 3,000 | Use the value from the same reporting period as the other inputs. |
| Freemium paid conversion | 4% | Use the value from the same reporting period as the other inputs. |
| Monthly revenue per paid account | 50 | Use the value from the same reporting period as the other inputs. |
| Paid gross margin | 80% | Use the value from the same reporting period as the other inputs. |
| Monthly cost per nonpaying free account | 1 | 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?
New trial customers
trialcustomers = trial * trialpaid / 100This output is expressed as a number.
New freemium customers
freecustomers = free * freepaid / 100This output is expressed as a number.
Trial cohort paid gross profit
trialprofit = trialcustomers * arpa * margin / 100This output is expressed as currency in the same units as the inputs.
Freemium contribution after free account cost
freeprofit = freecustomers * arpa * margin / 100 - (free - freecustomers) * freecostThis output is expressed as currency in the same units as the inputs.
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 |
|---|---|
| New trial customers | 150 |
| New freemium customers | 120 |
| Trial cohort paid gross profit | 6,000 |
| Freemium contribution after free account cost | 1,920 |
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?
- These are first-period cohort economics, excluding acquisition costs. Mature freemium populations accumulate free accounts and need a separate retention model.
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 free trial versus freemium scenario 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 marketing owner and the person responsible for delivery and work from the current plan, capacity assumptions and decision log. The relevant unit is a defined campaign or operating decision. 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
Separate an output the team controls from the customer outcome it hopes to influence. The plan should identify the constraint, the available resources and the condition that changes the next decision. If a dependency belongs to another team, record its owner rather than treating it as free capacity.
| Review field | What to record |
|---|---|
| Topic | Free trial versus freemium scenario calculator |
| Decision | The specific action this explanation should help you choose |
| Working evidence | the current plan, capacity assumptions and decision log |
| Unit and scope | a defined campaign or operating decision |
| Responsible people | marketing owner and the person responsible for delivery |
| Remaining uncertainty | The missing fact that could change the decision |
Two situations that can change the interpretation
When acquisition planning ignores implementation
An implementation queue can make an apparently successful acquisition campaign increase customer frustration and support cost.
Use this check: Trace a recent cohort from accepted opportunity through the first verified customer outcome. Do not describe delayed accounts as activated because they signed a contract.
The focused diagnostic guide provides the correction process and a working evidence sheet.
When a SaaS marketing plan has no stop rules
A team can distinguish a campaign with immature pipeline from a campaign that repeatedly reaches the wrong accounts; the two should not receive the same budget decision.
Use this check: Take one funded activity and ask which observed result would cause a pause, a revision or a larger commitment. Do not stop a long-cycle program before its agreed observation window has matured.
The focused diagnostic guide provides the correction process and a working evidence sheet.
Record the decision and the limit
A team can complete a campaign on time while learning that the offer reaches the wrong audience. That is different from a campaign that never launched because review capacity was unavailable. The first needs an audience or offer decision; the second needs an operating-plan correction.
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 free trial versus freemium scenario calculator tool provides a related numerical exercise. Its current default inputs are constructed examples, not industry observations. Under those defaults, the output labelled New trial customers is 150 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 | New trial customers after change |
|---|---|---|---|
| Monthly trial signups | 1,000 | 1,200 | 180 |
| Trial paid conversion | 15 | 18 | 180 |
| Monthly freemium signups | 3,000 | 3,600 | 150 |
| Freemium paid conversion | 4 | 4.8 | 150 |
| Monthly revenue per paid account | 50 | 60 | 150 |
| Paid gross margin | 80 | 96 | 150 |
| Monthly cost per nonpaying free account | 1 | 1.2 | 150 |
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 free trial versus freemium scenario calculator work?
It evaluates the formulas shown on this page in your browser. Compare first-period gross contribution for two signup models using your own acquisition and conversion assumptions. 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 .