A free trial hands someone the working product for a fixed period on the theory that using a thing beats reading about it. The mechanic is simple; the design choices inside it decide whether the trial builds a durable subscriber base or a refund queue.
How it works
The user signs up, gets access for a set window, and at the end either converts to paid or loses access. Trials split into two shapes, and the difference between them is larger than it looks.
Opt-out trials collect payment details up front and bill automatically when the window closes. Conversion is high because inertia works for the seller.
Opt-in trials require a deliberate decision to start paying. Conversion is lower and the subscribers who do convert retain better.
Why it matters
A trial is a paid acquisition cost deferred. Every trial signup carries an expected value equal to its conversion probability multiplied by LTV, and that figure is what acquisition spend is really priced against. Get trial-to-paid conversion rate wrong by a few points and a profitable channel becomes a loss-making one without anything else changing.
Choosing a trial length
The right length is the time it takes a typical user to reach the product's first genuine moment of value, plus a small margin. Longer than that mostly adds delay and gives the user time to forget why they signed up. Shorter, and they never see the thing that would have convinced them. Usage data answers this better than convention does.
Opt-out trials and chargebacks
Auto-billing trials convert well and generate disputes. Users who forget they signed up contest the charge, and in rewarded and affiliate channels that dispute becomes a reversal: the conversion is unwound and the payout removed. Clear reminders before billing cost a little conversion and save more than they cost.
Free trial vs. freemium
A free trial gives full access for a limited time; a freemium tier gives limited access for unlimited time. Trials create urgency and a decision point, which is why they convert faster and why their conversion is measurable. Freemium builds a larger top of funnel and converts slowly through usage limits. Trials suit products whose value is obvious within days; freemium suits products where value accumulates with use. Running both on the same product usually means neither has a clear decision moment.
Common mistakes to avoid
Gating the best feature out of the trial. A trial of a hobbled product tests the wrong thing and converts accordingly.
Measuring conversion on open trials. Cohort by start date, or the number reads low early in a period and drifts up as trials mature.
Treating trial signups as the goal. Signups are the input; surviving active subscriptions ninety days later are the result.
Hiding the billing date. It buys short-term conversion and pays it back in disputes and cancellations.
Frequently asked questions
Q: Should a free trial require card details?
Q: How long should a free trial be?
Q: Why do trials cause chargebacks?
Keep reading
Metric
Trial-to-paid conversion rate is the share of free-trial users who become paying subscribers. It is the hinge between acquisition spend and actual revenue in any trial-led subscription business.
Metric
Active subscriptions is the number of users on a paid recurring plan at a given moment. It is a snapshot rather than a running total, and it is the base that every other subscription number is measured against.
Concept
A reversal is a conversion that was credited and then rolled back, because it turned out to be fraudulent, because the order was cancelled or refunded, or because a chargeback landed. The reward is withdrawn and the payout removed.
Metric
LTV (Lifetime Value) is the total revenue you expect from a user across their entire relationship with your app. It sets the ceiling on what you can profitably spend to acquire that user.
