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Day 28Free Trial or Freemium: Choosing With Arithmetic Instead of Preference
Two questions settle this: how long until your product does something useful, and what does a free user cost you every month.
The free trial versus freemium argument gets held as a matter of philosophy, usually between a founder who read about Slack and a founder who read about Salesforce. It is not philosophy. It is two variables and a spreadsheet, and the answer changes if either variable changes.
Variable one: how fast can a new user reach a useful result. Variable two: what does it cost you to serve someone who may never pay. Everything else, trial length, credit card requirements, feature gating, follows from those.
Free is not a marketing decision. It is a cost you carry on every user who never converts.
Start with the benchmark that sets expectations. OpenView's product benchmark research has repeatedly put median free-to-paid conversion for product-led companies in the mid single digits, roughly 5 to 6 percent, with strong performers around 15 percent. Build your model on 5 percent and treat anything above it as earned rather than assumed.
Three motions, three shapes of cost
Free trial: full product, limited time
Use when value arrives within days and the whole product is needed to see it. This is most business software.
- Costs are bounded: a non-converting user stops costing you on day 15.
- The deadline creates urgency, which is a real conversion mechanism you get for free.
- It fails when time to value exceeds the trial, so the user's evaluation ends before your product has done anything.
Design rule: the trial should end shortly after the median user reaches their first useful result, not before.
Freemium: limited product, unlimited time
Use when serving a free user costs you almost nothing, or when free users distribute the product by inviting others.
- No deadline means no urgency, so conversion depends entirely on the user outgrowing a limit you chose.
- Support, storage and inference costs on free users are permanent and grow with success.
- The gate must sit at a point of growing usage (volume, seats, history), not at a feature people can live without.
Failure mode: an expensive free tier with no sharing mechanism, which is a donation programme with a signup form.
Demo-led: no self-serve access at all
Use when setup is complex, data must be connected, or the buyer is not the user, which describes most enterprise software.
- Highest conversion per opportunity and the lowest volume, capped by your calendar.
- You learn more per prospect than any analytics dashboard will tell you.
- It cannot scale past the number of hours your team has, so it eventually needs one of the other two beneath it.
Common and effective: demo-led for large accounts, self-serve trial for everyone below a revenue threshold.
Three motions with different cost shapes. Most successful companies eventually run two: a self-serve path for the smaller segment and a human path above a threshold. Choosing one for the whole market is what forces a company to either ignore its best customers or drown in its cheapest ones.
Run the numbers on your own funnel
The comparison that matters is paying customers per thousand visitors, and the cost of everyone who did not pay. A model that converts 25 percent of a tiny trickle can lose to one that converts 4 percent of a flood, or win comfortably. Only the arithmetic knows.
Free-tier cost is under 10 percent of first-month revenue. Cheap to run. Open the doors wider. Free costs 10 to 40 percent of what a conversion earns in month one. Normal, and worth watching as volume grows. Free costs a large share of the revenue it produces. Tighten the limits or move to a time-boxed trial. Your free tier costs more than a converted customer pays in their first month. This is a subsidy, not a funnel.
At 10,000 visitors, 6 percent starting free and 5 percent of those converting, you get 3 paying customers per 1,000 visitors. Each conversion carries 8.00 of free-tier cost (0.40 per free user divided by a 5 percent conversion rate), which is 16 percent of a 49 monthly price. Push the free cost slider to 4.00 and watch the whole model invert.
The third output is the number nobody calculates. Every conversion is paying for the twenty free users who did not convert, and at scale that figure decides whether your free tier is a marketing channel or a liability. Compute it before you launch a generous plan, because generous plans are much easier to announce than to withdraw.
Where to put the gate
A freemium plan converts when users hit a limit that grows naturally with their success. It does not convert when the limit is a feature they can work around.
Gate on usage that rises. Volume, seats, storage, history, integrations. A team that grows from three to eight people hits a seat limit without you doing anything, which is conversion generated by the customer's own progress.
Do not gate the activation moment. If the thing that makes your product click is behind the paywall, nobody clicks and nobody pays. Give away the moment; charge for scale.
Make the free tier genuinely useful. A crippled free plan produces users who conclude the product is weak and tell others so. Free should be a small, complete thing rather than a large, broken one.
Show the ceiling before they hit it. A message at 80 percent of the limit converts far better than an error at 100 percent, because one is planning and the other is an interruption.
Trial mechanics that change the outcome
Length. Match slightly beyond your median time to value. Most evaluation happens in the first two sessions, so a 30 day trial often just adds three weeks of forgetting. If your data genuinely needs a month to be meaningful, keep the length and shorten the first useful result instead.
The card question. Requiring a credit card cuts trial starts sharply and raises the conversion rate of those who start, because only serious buyers begin. Not requiring one fills the funnel with people you then have to activate. Neither is right in general. Test both and compare on paying customers per thousand visitors, which is the only metric that includes both effects.
The reverse trial. Give everyone the full paid experience for 14 days, then drop them to a limited free plan rather than cutting them off. You get trial urgency and freemium retention, and the user who has felt the paid version has a specific thing to miss. It is more work to build and it consistently outperforms both pure models when time to value is short.
Extensions. Offer one, once, to anyone who asks and to anyone who activated late. It costs nothing and recovers users whose evaluation was interrupted by their actual job.
Pick the single limit in your free or trial plan that you believe drives upgrades. Change it for new signups only, for two weeks: if it is a seat limit, move it from three to two, or from three to five. Keep everything else identical. Then compare the two groups on three numbers: activation rate, conversion rate, and paying customers per thousand visitors. Most teams discover their limit was set at a number somebody picked in a meeting, and that moving it in one direction costs nothing while moving it in the other adds revenue. Run this test once a quarter on a different limit. It is the cheapest pricing research available, and it uses traffic you have already paid for.
The mistakes that cost the most
Copying a company with a different cost structure. The famous freemium successes had near-zero marginal cost per free user and a sharing mechanism built into the product. If serving a free user costs you real money in inference, storage or support, and nobody invites a colleague, you have copied the visible half of a model and left the engine behind.
Treating free users as a metric. Fifty thousand free users is a cost base with a nice chart attached. Report converted customers and the cost of the free tier next to each other, always, or the vanity number will quietly set your strategy.
Launching free before you know your activation event. A free plan pours people into a funnel you have not fixed. Day 14 first, then open the doors.
Never revisiting the decision. The right model at 300 users is often wrong at 30,000, because free-tier cost scales while your ability to hand-hold does not. Review the model annually with the same calculator, using current numbers.
Conversion rates from OpenView's product benchmarks, plus the well-established pattern that card-required trials convert the highest share of trials while producing the fewest of them. The last bar is the reminder that a conversion rate alone never settles the question: multiply it by volume before you decide.
Instrument it before you argue about it
Most teams debating this have not instrumented the funnel well enough for either side to be right. Four events settle nearly every argument, and they take an afternoon to add: signup, activation (the event from Day 14), the moment a user first hits a limit, and payment.
With those four in place you can answer the questions that actually decide the model. What share of signups activate, and how long does it take. What share of activated users hit a limit, and how long after activation. What share of limit-hitters pay, and how quickly. If almost nobody reaches your limit, the gate is in the wrong place and no amount of pricing-page work fixes it. If people hit the limit and leave, your free tier taught them the product was not worth paying for, which is a value problem wearing a pricing costume.
The takeaway
- Time to value and cost to serve decide this. Everything else is a consequence.
- Model on 5 percent free-to-paid conversion. Treat 15 percent as earned, not expected.
- Compare motions on paying customers per thousand visitors, never on conversion rate alone.
- Calculate free-tier cost carried per conversion. It decides whether free is a channel or a subsidy.
- Gate on usage that grows with the customer, never on the activation moment.
- Consider the reverse trial: full product for 14 days, then a limited free plan.
Frequently asked questions
What is a good free to paid conversion rate?
OpenView's benchmarks put median product-led free-to-paid conversion around 5 to 6 percent, with best-in-class near 15. Card-required trials convert a much higher share of trials but produce far fewer. Judge on paying customers per thousand visitors instead of the percentage alone.
Should I use a free trial or freemium?
Trial when value arrives quickly and the full product is needed to see it, which covers most business software. Freemium when a free user costs near zero, the product improves with more users, or free users distribute it by sharing. Expensive free tiers without a sharing mechanism are the costliest acquisition method there is.
How long should a free trial be?
Slightly longer than your median time to value, rarely more than 14 days. Most users evaluate in the first two sessions, so 30 days usually adds forgetting rather than consideration. If a month of data is genuinely required, keep the length and shorten the first useful result.
Should I require a credit card for a free trial?
It depends which end of the funnel you can fix. A card cuts starts and raises conversion; no card fills the funnel with people you must activate. Decide based on whether traffic or conversion capacity is your constraint, and measure both on paying customers per thousand visitors.
Fifty thousand users and no revenue is not traction.
Kill My Startup separates the metrics that predict survival from the ones that decorate a pitch deck.
Buy on Amazon →Sources
- OpenView Partners, Product Benchmarks research on free-to-paid conversion rates for product-led companies.
- Standard product-led growth practice on trial length, credit card requirements and reverse trials.
- Common freemium design principles on gating usage-based limits rather than activation features.
- Sean Ellis and the product/market fit survey, on validating demand before scaling a free plan.