Digital products have a pricing problem that physical products do not. There is no cost to anchor to. A course costs the same to deliver to the thousandth buyer as the first, so “cost plus margin” gives you nothing to work with.
Which is why most people pick a number that feels comfortable, discover it is too low a year later, and struggle to raise it. Here is a more deliberate way to arrive at a price.
Price against the outcome, not the effort
The instinct is to price by how long something took to make. Buyers do not care. They are comparing your price to what the result is worth to them, and to what the alternatives cost.
A template that saves a freelancer eight hours is worth a meaningful fraction of eight hours of their rate — regardless of whether it took you a weekend or a month to build. A course that helps someone land a job is priced against the salary, not against your recording time.
So the useful question is not “what did this cost me” but “what does this save or earn the person buying it”. That is the ceiling. Your price sits somewhere below it.
The same product at four price points
Why higher prices usually need fewer customers than people expect
Low prices are harder, not easier
The chart above is the argument, and it surprises people every time.
Selling a 19 product to 526 people requires an audience in the tens of thousands, sustained traffic, and a functioning marketing operation. Selling a 499 product to 20 people requires knowing 20 of the right people. For anyone starting out, the second is dramatically more achievable.
Cheap products also attract the most demanding customers. This is counterintuitive and consistently reported — buyers at the lowest price point generate disproportionate support requests and refund requests. Higher prices tend to attract people who value their own time and yours.
None of which means charge as much as possible. It means low pricing is a strategy that requires scale, and if you do not have scale it is the harder path rather than the safer one.
Working out a starting price
- Name the outcome specifically. Not “learn Python” but “build and deploy your first working web app”. Vague outcomes cannot be priced because nobody can judge what they are worth.
- Estimate what that outcome is worth to the buyer. In hours saved, money earned, or a problem avoided. Be honest rather than optimistic.
- Check the alternatives. What does the buyer do if you do not exist — hire someone, buy a competitor, spend a weekend figuring it out? Those set the comparison.
- Price at a fraction of the value. Somewhere between a tenth and a third of the value delivered is a common and defensible range.
- Sanity-check the volume. Divide your revenue target by the price. Can you realistically reach that many buyers?
That last step is the one that catches errors. If the answer requires 500 sales a month from an audience of 300 people, the price is wrong, not the plan.
Tiers, and why the middle one sells
Offering three options usually outperforms offering one, because it changes the question from “should I buy this” to “which of these should I buy”.
A workable structure is a basic tier with the core product, a middle tier with the thing most people actually want, and a premium tier with direct access or done-for-you elements. Most buyers choose the middle, which is why the middle should be the one you designed deliberately.
Two cautions. Three tiers is usually enough — more creates hesitation rather than choice. And tiers should differ in scope, not in artificial restriction. Deliberately crippling the cheap tier annoys people; giving the expensive tier genuinely more does not.
One-off or subscription?
The temptation is subscription, because recurring revenue is obviously better. It is only better if the product genuinely delivers ongoing value.
A course someone completes once is a one-off purchase. Charging monthly for it produces cancellations the moment they finish, plus resentment. A tool they use weekly, a library that keeps growing, or anything with a service attached genuinely suits a subscription.
The honest test: if a customer stopped paying next month, would they lose something they still want? If not, sell it once.
Regional pricing
A price that works in the US or Gulf markets can be several days’ wages elsewhere. A single global price either excludes most of the world or underprices your strongest markets.
Many platforms support regional pricing automatically. Where yours does not, offering a purchasing-power discount on request costs you nothing from buyers who would never have paid full price, and earns considerable goodwill.
Testing a price before committing to it
You do not have to guess and hope. There are cheap ways to find out what people will pay before the product exists.
- Pre-sell it. A page describing the product with a real price and a real buy button, before you build. Money changing hands is the only reliable signal, and everything else is opinion.
- Ask what they pay now. Not “would you pay X” — people are polite about hypotheticals. Ask what they currently spend solving this problem. That number is real.
- Watch the objection. If nobody mentions price, you are too cheap. Occasional resistance from some buyers is the sign of a correctly positioned price.
- Run a limited cohort. Sell to the first twenty at one price, then raise it for the next twenty and compare conversion.
The pre-sell is the most valuable of these by a distance. It validates the product and the price simultaneously, and it does so before you have spent months building.
Presenting the price well
The same number converts very differently depending on what surrounds it. This is not manipulation — it is giving the buyer the context they need to judge.
- State the value before the price. A price encountered before the buyer understands what they get always feels high, because there is nothing to weigh it against.
- Compare to the alternative. “A developer would charge 2,000 for this” reframes 199 entirely, and it is honest if true.
- Break down what is included. A visible list makes a single number feel substantiated rather than arbitrary.
- Remove the risk. A clear guarantee shifts the buyer’s question from “what if this is bad” to “what if this works”.
- Show one price prominently. Burying the price or making people request it loses buyers who were ready.
One thing to avoid: fake urgency. Countdown timers that reset, permanent “limited time” offers, invented scarcity on a digital product with unlimited supply. Buyers recognize it, and the trust it costs is worth more than the conversions it buys.
Raising prices later
Easier than most people fear, and it gets easier the more the product has improved.
- Announce it in advance. A stated increase date reliably produces a sales spike beforehand, which partly funds the transition.
- Honour the old price for existing customers where it is a subscription. Grandfathering costs little and prevents the churn that a forced increase causes.
- Add something first. A price rise following a genuine improvement reads as fair. One following nothing reads as opportunism.
- Raise in steps. Several moderate increases meet less resistance than one large one, and each tells you where the ceiling is.
Whatever you charge, check the economics after fees. Payment processing, platform commission and currency conversion all take a share, and our profit margin calculator shows what actually remains.
Frequently asked questions
Should I launch at a discount?
A launch discount works if it is time-limited and clearly framed as such. An open-ended “introductory price” simply becomes your price, and raising it later feels like a rise rather than the end of an offer.
What if nobody buys at my price?
Before cutting the price, check whether people are actually seeing the offer. Low sales usually indicate a traffic or positioning problem rather than a pricing one, and cutting price does not fix either.
Should I offer refunds?
A clear refund policy usually increases sales by more than it costs in refunds, because it removes the buyer’s risk. Many jurisdictions also require one for digital goods, so check your obligations rather than treating it as optional.
How do I price a first product with no audience?
Price higher than feels comfortable and sell to fewer people. With no audience you cannot reach the volume a cheap product needs, so a higher-priced offer sold to a handful of the right buyers is the more realistic path.
The most common mistake
Underpricing, and it is nearly universal among first-time creators. It comes from judging the product by how easy it was for you to make rather than by what it does for someone who cannot make it themselves.
Your expertise makes the work feel obvious. It is not obvious to the buyer — that gap is the entire product, and it is what they are paying for.


