What is a good trial-to-paid conversion rate?

It depends heavily on whether a card is required. Card-required trials often run 40–60%; opt-in trials sit nearer the 25.0% blended median. Below roughly 15% is weak for most models.

How is trial-to-paid rate calculated?

Divide paid conversions by trials started and multiply by 100. For 250 paid conversions from 1,000 trials the rate is 25.0%.

Why is my trial conversion low?

Usually weak activation: users do not reach the product's core value during the trial. Slow setup, unclear next steps, and no value before expiry depress conversion more than pricing does.

Should I require a credit card for trials?

Requiring a card lifts conversion rate sharply but reduces trial starts, while opt-in trials do the reverse. Read the rate alongside total trial volume to judge which yields more paying customers.

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Trial To Paid Conversion Calculator

Measure how efficiently free trials convert into paying customers — and decide whether to fix onboarding and activation or drive more trial signups.

Trials started

trials

Paid conversions

count

Trial-to-paid rate

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Average

Scenario lens Current · Benchmark · Optimized

Value / conversion

Leverage

Formula

Trial-to-paid rate = Paid conversions / Trials started × 100

Understanding trial-to-paid conversion

Reference material — the calculator above stays the primary tool.

What trial-to-paid rate measures

Trial-to-paid conversion rate is the share of users who start a trial and go on to pay. It is the decisive step in a product-led funnel: trials are already high-intent, so losses here reflect activation and value delivery rather than weak demand.

Because each conversion carries full customer value, a point of trial conversion is usually worth far more than a point of top-of-funnel signup at the same count.

How to read your result

The result is labelled against a fixed benchmark so the number resolves into a decision:

Low — well under the median; activation inside the trial is the constraint, not signup volume. Average — near the median; onboarding and time-to-value tests pay off. Strong — at or above the median; driving more trials compounds rather than masks an activation leak.

Trial conversion benchmarks by model

Rates swing with trial length and whether a card is required. Treat these as orientation, not targets — your own history is the better comparison.

Context	Typical median
Opt-in trial (no card)	8–20%
Opt-out trial (card required)	40–60%
Reverse trial / freemium hybrid	15–25%
Sales-assisted trial	25–40%

Levers that lift trial conversion

Most gains come from getting users to value faster: shorten the path to the first meaningful outcome, guide setup with checklists and prompts, trigger contextual nudges before expiry, and remove billing friction at the upgrade moment. Model the rate change as a scenario above to see the revenue it returns.

More trials or better conversion?

Read trial conversion alongside free-to-paid and customer lifetime value — the related tools cover those. When the rate is weak, added trials mostly expire unconverted; when it is strong, volume converts, so activation comes before acquisition.