Free trial vs no free trial (and how long a trial should be)
When a free trial earns more than charging up front, how to test trial vs no trial and trial length, and what app data says about short and long trials.
Updated 28 September 2026 · 6 min read
Neither wins everywhere. A trial helps when people need to use the product to believe it works, and charging up front works when the value is clear before use. Test it by splitting new visitors and judging on revenue per visitor counted after the longest trial has ended plus one billing cycle. On length, RevenueCat's 2026 app data shows a median 42.5% trial-to-paid rate for 17 to 32-day trials against 25.5% for trials of 4 days or less, but longer trials delay revenue and some of that gap is selection.
There is no universal answer to free trial vs no free trial. A trial helps when people need to use the product with their own work before they believe it does what the page says. Charging up front, often with a money-back guarantee, works when the value is clear before use or when each trial user costs real money to serve. Removing a trial cuts the number of people who start, because paying is a bigger step than trying. Whether it cuts revenue depends on how many of those trial users would ever have paid.
So test it. Split new visitors between the two versions and judge on revenue per visitor, counted inside a window that covers the longest trial plus one billing cycle. For trial length, the rule of thumb is long enough to reach first value and no longer, and the data below shows why longer trials look better than they are.
The options
| Option | How it works | Fits when | Watch for |
|---|---|---|---|
| No trial | Pay up front, often with a refund window | Value is clear from the page or a demo | Refund rate |
| Trial, no card | Full access for N days, pay to continue | Setup takes effort and you want many starts | Low trial-to-paid rate |
| Trial, card required | Card taken at start, charged when the trial ends | You want fewer, more serious starts | Refunds, chargebacks, complaints |
| Freemium | Free plan forever, pay for more | The free plan spreads the product | Few upgrades |
| Paid trial | A small charge, such as $1, for the trial period | You want intent without a full price | Fewer starts |
| Reverse trial | Paid features for N days, then drops to a free plan | Freemium with a push toward paid | Complexity |
What the data says
The best public dataset is from mobile apps, not SaaS, so treat it as a direction rather than a benchmark for your business. RevenueCat's State of Subscription Apps 2026, covering over 115,000 apps, reports:
- Apps with a hard paywall (pay or trial before using) had a median download-to-paid rate of 10.7% by day 35, against 2.1% for freemium apps.
- Trials of 17 to 32 days had a median trial-to-paid rate of 42.5%, against 25.5% for trials of 4 days or less.
- 55.4% of all cancellations of 3-day trials happened on the day the trial started.
The trial length numbers need care. RevenueCat's own write-up on trial length calls the pattern correlational, since someone still in a trial on day 25 is more likely to pay than someone who left on day two. Apps that choose long trials may also differ from apps that choose short ones. The data says long trials can work. It does not say lengthening your trial will add 17 points of conversion.
The day-one cancellation figure says something more useful. Many people decide in their first session. Whatever the trial length, the first session carries a lot of the weight, which is why onboarding tests often pay off alongside trial tests.
How to test trial vs no trial
- Randomize new visitors only. People who have already seen one offer shouldn't see another.
- Change only the trial. Keep the price, plans and page the same.
- Fix the measurement window before launch. It starts at each visitor's first visit and covers the longest trial plus one billing cycle. For a 14-day trial on a monthly plan, that is about 45 days.
- Count revenue per visitor inside the window, minus refunds and chargebacks.
- Plan the calendar. Enrollment takes as long as your traffic needs, then you wait for the window to close for the last visitor. The test duration calculator gives the enrollment part.
A worked example
This is a made-up example. A product costs $40 a month. Each version gets 10,000 new visitors, and revenue is counted for 45 days from each visitor's first visit.
| A: 14-day trial, card required | B: no trial, 30-day money-back | C: 7-day trial, card required | |
|---|---|---|---|
| Started trial or bought | 600 (6.0%) | 220 (2.2%) | 620 (6.2%) |
| First payment kept | 270 (45% of trials) | 202 (after 18 refunds) | 248 (40% of trials) |
| Second payment | 216 | 172 | 193 |
| Revenue in 45 days | $19,440 | $14,960 | $17,640 |
| Revenue per visitor | $1.94 | $1.50 | $1.76 |
Here is the maths. A collects (270 + 216) × $40 = $19,440. B collects (202 + 172) × $40 = $14,960. C collects (248 + 193) × $40 = $17,640. Divide each by 10,000 visitors.
In this example, the 14-day trial earns the most per visitor. Now look at what happens with the wrong window. Ten days after each visit, A has collected nothing, because no trial has ended yet, while B has already taken $8,800 less early refunds. A team that reads the test early would kill the version that wins. That is the most common mistake in trial tests.
Also note what the example does not show. Trial users who convert may churn at a different rate from people who paid up front. Look at revenue per visitor again at 90 days before you treat the result as settled.
How long a free trial should be
Start from the product, not from a benchmark:
- Find the moment a new user first gets real value, such as the first invoice paid or the first report shared.
- Measure how long a typical successful user takes to get there. The trial should cover that with room to spare.
- Match the product's natural cycle. A daily habit app may need 3 to 7 days. A monthly workflow may need 14 to 30.
- Count the cost to serve. If each trial user costs you money, such as compute for an AI product, a long trial full of people who never pay gets expensive.
Then test two lengths against each other, such as 7 vs 14 days, and judge on revenue per visitor in a window that covers the longer trial plus one billing cycle.
Rules to follow
Trials that turn into paid subscriptions have their own rules. This is general information, not legal advice.
- In California, the automatic renewal law as amended from July 2025 covers free-to-paid conversions. For a free trial longer than 31 days, the business must send a notice 3 to 21 days before it converts, per Cooley's summary.
- In the UK, the subscription contracts rules in the Digital Markets, Competition and Consumers Act are due to start in January 2027 and include a 14-day cooling-off period after the first payment following a free or discounted period, according to TLT's briefing.
- Google Play's subscriptions policy requires apps to tell users how and when a trial converts, what it will cost and how to cancel.
- Apple's subscription guidance asks apps to show how long the trial lasts and the price billed after it.
A trial variant that hides the conversion date to win more starts is not a valid test. It will lose on refunds and complaints, and it may break these rules.
Tests to try, and what to measure
- Trial vs no trial with a money-back guarantee. Measure revenue per visitor at 45 and 90 days and the refund rate.
- Card required vs no card. Measure revenue per visitor after the trial window, trial starts, refunds and chargebacks.
- 7-day vs 14-day trial. Measure revenue per visitor in a window covering the 14-day trial plus a billing cycle.
- A reminder email 3 days before the trial ends vs none. Measure revenue per visitor and refund requests.
- A $1 paid trial vs a free trial. Measure revenue per visitor and trial starts.
- Reverse trial vs plain freemium. Measure revenue per visitor at 60 days and the share of free users who upgrade.
Outtest can run trial vs no trial and trial length tests and judges them on revenue per visitor from your payment tool. Because a trial length change touches your app, it goes through a GitHub pull request that you approve. If your traffic is small, read A/B testing with low traffic before you start, since trial tests take longer than most.
Questions people ask
Should a SaaS product have a free trial?+
Offer one if people need to use the product with their own data before they believe it works, and if a trial user costs little to serve. Skip it if the value is obvious from the page, a demo or a money-back guarantee. The only way to know for your product is to test both on new visitors and compare revenue per visitor.
Is a credit card required trial better than a no-card trial?+
Asking for a card trades volume for intent, with fewer starts and a higher share of starters who pay. Which earns more depends on your product. Judge the test on revenue per visitor after the trial ends, and track refunds and chargebacks, which can rise when people forget they gave a card.
How long should a free trial be?+
Long enough for a typical user to reach the moment the product proves its value, and no longer. For a tool used daily that may be 7 days. For one used monthly, such as invoicing or reporting, it may need a full cycle of 14 to 30 days. Test two lengths and compare revenue per visitor.
How do I measure a free trial test fairly?+
Count each visitor's payments inside a fixed window that starts at their first visit and covers the longest trial in the test plus one billing cycle. A shorter window gives a no-trial version a head start, since it collects money on day one.
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