Free trial conversion rate is the share of trial users who become paying customers, dividing trials that convert by trials started.
Free trial conversion rate = (trial users who converted to paid ÷ total trial users started) × 100
In a month, 500 users start a free trial and 110 of them convert to a paid plan.
(110 ÷ 500) × 100 = 22% trial conversion rate
Free trial conversion rate measures how well your trial turns interest into revenue. It divides the number of trial users who convert to a paid plan by the total number who started the trial in a period. It is the single clearest read on whether your trial — and the onboarding around it — actually demonstrates enough value to justify a purchase.
The benchmark depends heavily on trial design. Opt-in trials, where no card is required upfront, typically convert in the low-to-mid single digits, with strong performers reaching 10–15%, because they attract a wider, less-committed audience. Opt-out trials, which take a card and convert automatically unless the user cancels, convert far higher — good performers 25–35% and the best 50–60%+ — but draw fewer sign-ups and more cancellations. Neither is strictly better; they trade volume against conversion.
Conversion rate is downstream of activation. A user who never reaches the product's core value during the trial almost never converts, so the fastest way to lift trial conversion is usually to improve onboarding and get more users to their first meaningful outcome — not to lengthen the trial or hammer them with reminder emails.
Trial conversion is the hinge of a product-led growth model — it sits between all your top-of-funnel spend and any revenue, so a few points of improvement flow straight through to MRR. Because it is so sensitive to onboarding and activation, it is also one of the most improvable metrics you own: fixing the path to first value can lift conversion without spending another pound on acquisition.
ChartMogul's January 2026 report (200 B2B products, six-month window) puts the blended median free-to-paid rate near 8%: no-card free trials are good at 4 to 6% and great at 10 to 15%, while card-required trials are good at 25 to 35% and great at 50 to 60% — roughly a five-times gap. (Source: ChartMogul SaaS Conversion Report, 2026.)
Opt-out trials only attract users willing to enter a card and convert automatically unless cancelled, so the rate is far higher — but they draw fewer sign-ups. Opt-in trials attract more, less-committed users and convert lower. It is a volume-versus-conversion trade-off.
Lift activation first. Users who reach the product's core value during the trial convert; those who never activate almost never do. Improving onboarding usually beats lengthening the trial or sending more reminder emails.
Usually, yes for no-card trials. Shorter trials of seven to fourteen days tend to convert better than thirty-day ones because urgency pushes users to onboard rather than procrastinate. The exception is card-required trials, where a longer window can lift conversion by giving complex products more time to reach activation. The real lever is how fast a user hits value, not the length of the clock.
Measure by cohort, grouping users on the date they started the trial, rather than by calendar month. A monthly snapshot mixes users who are at different points in their trial and understates the rate, because a meaningful share of conversions land at or after the trial ends. Cohort-by-start-date gives the true rate but stays provisional until recent cohorts have had time to convert.
No. A free trial is time-boxed and converts far higher than freemium, where users can stay on a free tier indefinitely. ChartMogul's 2026 data puts a good standard freemium rate at roughly three to five percent, versus four to six percent for a no-card trial and twenty-five to thirty-five percent for a card-required trial. Comparing the two like-for-like is misleading.
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