# Free trial conversion calculator > Signup to activation to paid, with the revenue impact of moving each step by a point. See the formula, change the inputs and save your results. Source: https://saas-marketing.net/calculators/trial-conversion/ Topic: SaaS Growth Marketing Type: calculator Published: 2026-09-17 Last updated: 2026-09-17 Publisher: SaaS Marketing (saas-marketing.net) License: CC BY 4.0. Quote or republish with attribution and a link to https://saas-marketing.net/calculators/trial-conversion/ ## Short answer Free trial conversion uses monthly visitors to the signup page, visitor to trial signup rate, trial to activated rate and the additional inputs below to estimate new paying customers per month. Change the example inputs to your own figures. The result is a planning calculation, not an industry benchmark or a prediction. ## Key takeaways - The main result is new paying customers per month; the formula is shown below. - Keep the reporting period, currency and customer cohort consistent across inputs. - Defaults are an illustrative scenario. A blank, invalid or undefined ratio displays as n/a. --- Use this tool alongside the [saas growth guide](/saas-growth/). Signup to activation to paid, with the revenue impact of moving each step by a point. ## Which inputs do you need? | Input | Example value | What to check | | --- | --- | --- | | Monthly visitors to the signup page | 24,000 | Use the value from the same reporting period as the other inputs. | | Visitor to trial signup rate | 4.2% | Use the value from the same reporting period as the other inputs. | | Trial to activated rate | 38% | Use the value from the same reporting period as the other inputs. | | Activated to paid rate | 24% | Use the value from the same reporting period as the other inputs. | | Monthly revenue per paying account | 89 | 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? ### Trials started per month ```text trials = visitors * signup / 100 ``` This output is expressed as a number. ### Activated trials ```text activated = trials * activate / 100 ``` This output is expressed as a number. ### New paying customers per month ```text customers = activated * paid / 100 ``` This output is expressed as a number. ### Visitor to paid conversion ```text overall = visitors > 0 ? (customers / visitors) * 100 : NaN ``` This output is expressed as a percentage. ### New MRR per month ```text newmrr = customers * arpa ``` This output is expressed as currency in the same units as the inputs. ### Extra annual revenue from one point on activation ```text lift = ((trials * (activate + 1) / 100) * paid / 100 * arpa * 12) - (customers * arpa * 12) ``` This 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 | | --- | --- | | Trials started per month | 1,008 | | Activated trials | 383.04 | | New paying customers per month | 91.93 | | Visitor to paid conversion | 0.38% | | New MRR per month | 8,181.73 | | Extra annual revenue from one point on activation | 2,583.71 | 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](/saas-metrics/) to align definitions, browse [all calculators](/calculators/) for adjacent calculations, and keep a [measurement worksheet](/resources/) beside the model. The [pricing hub](/saas-pricing/) and [growth hub](/saas-growth/) cover decisions that often change these inputs. {/* expanded-practice-2026-09 */} ## Apply free trial 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 experiment owner and the analyst responsible for design integrity and work from hypothesis, assignment rules, metric definition and decision record. The relevant unit is the prespecified eligible user or account cohort. 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 Check the design before interpreting a result. Assignment, exclusions, outcome timing and stopping rules can change the meaning of an apparently precise statistic. Separate practical effect from statistical evidence and keep guardrails beside the primary outcome. | Review field | What to record | | --- | --- | | Topic | Free trial conversion calculator | | Decision | The specific action this explanation should help you choose | | Working evidence | hypothesis, assignment rules, metric definition and decision record | | Unit and scope | the prespecified eligible user or account cohort | | Responsible people | experiment owner and the analyst responsible for design integrity | | Remaining uncertainty | The missing fact that could change the decision | ### Two situations that can change the interpretation #### When a growth dashboard mixes users and accounts Twenty activated accounts divided by two hundred individual signups is not an account activation rate. Use this check: Audit each ratio's unit and inspect identity mapping between people and organizations. Multiple active users do not necessarily represent multiple paying customers. The [focused diagnostic guide](/guides/growth-dashboard-confuses-users-and-accounts/) provides the correction process and a working evidence sheet. #### When trial conversion uses inconsistent windows A seven-day-old cohort cannot be compared directly with a cohort that had a full month to complete procurement. Use this check: Define trial start, eligible population, purchase event and observation duration. Do not exclude non-converting trials merely because their records are inconvenient. The [focused diagnostic guide](/guides/trial-conversion-window-is-inconsistent/) provides the correction process and a working evidence sheet. ### Record the decision and the limit A higher signup rate is not automatically a better activation path if the removed step helped users reach a useful workflow. Review the complete sequence and the relevant customer outcome. A bundled product change can be evaluated as a bundle without claiming to isolate every component. 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](/topics/saas-growth/) for related methods and the [category field guides](/industries/) when the product's buying situation or implementation requirements change how the method should be applied. ### A reproducible sensitivity exercise The [free trial conversion calculator tool](/calculators/trial-conversion/) provides a related numerical exercise. Its current default inputs are constructed examples, not industry observations. Under those defaults, the output labelled **New paying customers per month** is **91.93** 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 paying customers per month after change | | --- | --- | --- | --- | | Monthly visitors to the signup page | 24,000 | 28,800 | 110.32 | | Visitor to trial signup rate | 4.2 | 5.04 | 110.32 | | Trial to activated rate | 38 | 45.6 | 110.32 | | Activated to paid rate | 24 | 28.8 | 110.32 | | Monthly revenue per paying account | 89 | 107 | 91.93 | 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. ## Frequently asked questions ### How does this free trial conversion calculator work? It evaluates the formulas shown on this page in your browser. Signup to activation to paid, with the revenue impact of moving each step by a point. 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.