Decide Whether to Offer a Free Trial
Added 2026-11-05
A trial is not a marketing tactic; it trades cost for a testable claim.
I am considering a free trial for my product: [product, price point, current state]. Decide whether to do it and how: 1) list the true cost — servers, support time, opportunity cost — and the hypothesis it would test; 2) name when a trial hurts conversion: free users saturate capacity, the key value is not reached, or the end has no next step; 3) give three designs — time-limited, feature-limited, usage-limited — and which product each fits; 4) design the conversion path at the end and say why someone would pay at that moment; 5) give three success metrics with thresholds; 6) if the answer is no, offer an alternative — a demo, a sample, pay-per-use. Do not assume "free first to get users".
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[product, price point, current state]
How to use
A trial tests a specific hypothesis, not whether people like it.
Try tweaking it
- Have it state how the hypothesis could be falsified before discussing execution.
- Split the plan into a one-week testable experiment.
What you should get
- A small testable experiment with a failure threshold
- Costs, risks, and what needs outside confirmation
Common mistakes
- Asking for a "full business plan" and getting unverifiable optimistic assumptions.
- No failure threshold, so you never know whether to continue.
How to check the output
- There is a clear failure threshold, testable within a week.
- Costs, assumptions and risks are listed separately.
Where it works
- Good for: turning business assumptions into a small testable experiment with a failure threshold first.
- Watch out: for pricing, contracts and legal points, treat output as a draft needing professional review.
Good for
- The price point is low and acquisition costs are still rising, so you are considering a free trial to lift sign-ups.
- You already have free users but paid conversion is poor, and you need to know whether the problem is trial design or product value.
Not for
- Every delivery needs heavy manual setup: a trial multiplies support cost — a demo or sample fits better.
- You have not verified that users need the core capability: run a small paid test before giving anything away.
Example
Input
A SaaS at 199 CNY per month with 200 sign-ups and 8 paying users; the plan is a 14-day all-features free trial.
What you get
First price the support and server cost of 14 days and state the hypothesis: is the gap "they never reach value" or "price and decision chain"? Then flag that an all-features trial lets people learn everything and leave; propose a feature-limited trial with a day-3 key-action nudge, plus pre-set thresholds (trial-to-paid ≥15%, key-feature usage ≥60%).
Common mistakes
- Treating the trial as a lead-generation tactic without defining why anyone pays when it ends.
- Counting only sign-ups and ignoring whether key actions happened during the trial; surface growth will mislead the verdict.
Try tweaking it like this
- If the bottleneck is the decision chain, replace the free trial with a time-boxed advisory demo plus a first-month discount.
- Add a control group with no trial and compare paid conversion and support cost before rolling it out.