Trial-to-paid conversion
DEFINITION
Trial-to-paid conversion is the share of people who start a free or discounted trial and then become paying customers, usually expressed as a rate.
TABLE OF CONTENTS
RELATED TERMS
Trial-to-paid conversion is the share of people who start a free or discounted trial and then become paying customers. It is usually expressed as a rate: the number of trials that converted to a paid subscription divided by the number of trials that ended, over a given period.
The metric measures how well a trial turns interest into revenue. A trial gives a prospective customer a chance to experience the product before paying, and the conversion rate tells the business how often that experience leads to a paid plan. It depends on the whole path a trial user takes, including how quickly they reach value, how the trial is set up, and how the move to paying is handled. A subscription platform such as Recurly can manage free trials, convert them to paid plans automatically at the end of the trial, and report on how trials convert.
Why trial-to-paid conversion matters for subscription businesses
For any business that acquires customers through a trial, this rate sits directly between marketing spend and recurring revenue. Attracting trial signups costs money, and only the ones that convert produce revenue, so a small change in the conversion rate can change the return on the whole acquisition effort. Watching the rate over time also shows whether changes to onboarding, the trial length, or the offer are helping or hurting.
The rate also points to where a trial is leaking. A low conversion rate can mean users never reach value during the trial, the trial is too short or too long, or the step from trial to paid is confusing. Because the metric is tied to a specific path, it tells the business where to look rather than just that something is wrong.
How to calculate trial-to-paid conversion
The core formula is:
Trial-to-paid conversion rate = (Trials converted to paid / Trials that ended) × 100
Two common forms depend on how the trial is set up:
Opt-out trial (a card is collected up front and the trial converts automatically unless the user cancels): Conversion rate = (Trials that were not cancelled and became paid / Trials that ended) × 100
Opt-in trial (no card up front, and the user must actively choose to pay): Conversion rate = (Trials that actively subscribed / Trials that ended) × 100
To calculate it:
Choose the period you want to measure, such as a month.
Count the trials that ended in that period.
Count how many of those trials became paid subscriptions.
Divide the number converted by the number that ended.
Multiply by 100 to express it as a percentage.
Illustrative example (hypothetical figures):
Trials that ended during the month: 500
Of those, trials that became paid subscriptions: 120
Trial-to-paid conversion rate = (120 / 500) × 100 = 24%
In this example, 24% of the trials that ended during the month converted to paid subscriptions.
How to use trial-to-paid conversion
Measure trials by when they end, not when they start, so the rate reflects a complete cohort.
Segment the rate by acquisition source, plan, or trial type to see what converts best.
Test one change at a time, such as trial length or onboarding, and compare cohorts.
Separate opt-in from opt-out trials, since the two produce very different rates.
Pair the rate with what happens after conversion, since a high rate matters less if those customers churn quickly. Recurly provides trial performance reporting to track how trials convert.
Benefits and examples
A clear read on trial quality: the rate shows how well a trial turns interest into revenue.
Better spend decisions: knowing the rate tells you what a trial signup is worth.
A guide to fixes: a low rate points to onboarding, trial design, or the payment step.
Comparable over time: tracking cohorts shows whether changes are working.
For example, a business runs a 14-day opt-out trial and measures conversion by cohort. One month, 500 trials end and 120 convert, for a 24% rate as shown above. The team shortens onboarding so users reach value sooner, and watches the next cohort's rate to see whether the change helped. Because they measure by the month a trial ends, each cohort is complete before it is counted.
Frequently asked questions
What is trial-to-paid conversion? It is the share of people who start a trial and then become paying customers, usually shown as the number of trials that converted divided by the number of trials that ended.
How do you calculate trial-to-paid conversion rate? Divide the number of trials that converted to paid by the number of trials that ended in the period, then multiply by 100. For example, 120 conversions out of 500 ended trials is a 24% rate.
What is a good trial-to-paid conversion rate? It varies widely by product, price, and trial type, and opt-out trials usually convert at a much higher rate than opt-in trials.
Why is my trial-to-paid conversion low? Common causes are users not reaching value during the trial, a trial length that does not fit the product, or a confusing step from trial to paid. Segmenting the rate helps show which one applies.
