Trial-to-paid conversion revenue calculator

Trial-to-paid conversion is the share of free trials that become paying customers. A single blended rate hides the most useful fact about a trial: users who reach the key action convert many times better than those who do not. The calculator splits the rate in two:

This makes the levers explicit. Activation moves users from the low-converting group to the high-converting one; better conversion of activated users means the trial ends with a clearer reason to pay. Example: 1,000 trials, 40% activation, 25% of activated and 2% of others convert: 1,000 × (0.4 × 0.25 + 0.6 × 0.02) = 112 new paying customers, an 11.2% trial-to-paid rate. Raising activation to 50% and activated conversion to 28% gives 150, or 15%.

From new customers to MRR

The extra 38 customers a month do not stay forever. With 4% monthly churn and $60 ARPA, the extra MRR after 12 months is 38 × 60 × (1 − 0.96¹²) / 0.04 ≈ $22,100, and it keeps growing toward a ceiling of 38 × 60 / 0.04 = $57,000. ARR is shown as run-rate: MRR at the horizon × 12.

Onboarding changes cost money: a tool subscription, design and engineering time, or both. The calculator compares cumulative extra gross profit — not revenue — with cumulative cost:

An improvement never breaks even when its steady-state gross profit, ΔN · ARPA · margin / churn, is below the monthly cost. That is a quick sanity check before any purchase: if even the long-run effect does not cover the subscription, the numbers need to change, not the horizon.

Where the uplift comes from

• Shorter time to value. Trials that reach the key action in the first session activate far more often than those left to explore alone.
• Guided setup. Checklists that import data, invite teammates or connect an integration move users into the activated group.
• Contextual help instead of documentation. Tooltips at the point of confusion cut the drop-off in the steps before activation.
• A reason to pay before the trial ends. Showing the value already created and the features used makes the conversion decision easier.

Measure activation before trusting a projection: define the key action, then check that activated trials really convert better. The funnel conversion calculator helps find where trials drop off, and the A/B test calculator tells you how many trials you need to prove an uplift.

• Constant inputs. Trials, rates, ARPA and churn do not change over the horizon. Growing sign-ups make the real effect larger.
• Instant effect. The improvement works from month one and customers pay in the month they convert. With a 14 or 30-day trial, shift the curve by the trial length.
• Same customers. Newly activated users are assumed to churn like today’s customers. If they were marginal, their churn may be higher.
• Revenue instead of profit. Comparing extra revenue with tool cost overstates ROI by the cost of serving customers; break-even here uses gross profit.
• Blended conversion only. Without the activated/non-activated split you cannot tell whether onboarding or pricing is the bottleneck.

This calculator focuses on trials and the cost of improving them. To model activation of all sign-ups without a trial, use the activation revenue calculator; to check how fast the acquired customers repay their acquisition cost, the CAC payback calculator.

1. Skok D. SaaS Metrics 2.0 — A Guide to Measuring and Improving What Matters. forEntrepreneurs.com — MRR, churn and customer economics in SaaS.
2. Croll A., Yoskovitz B. Lean Analytics: Use Data to Build a Better Startup Faster. O’Reilly Media, 2013 — activation and revenue as stages of the user lifecycle.