Skip to content
DERKONLINE

How To Price Your Software Product Before You Have Customers

Anchor your first price to the outcome you deliver, not your costs, and escape the underpricing trap that starves growth.

Derrick S. K. Siawor8 min read

You have built something. It works, it solves a real problem, and now you have to put a number on it. So you do the thing almost every first-time founder does: you add up your costs, glance at what a competitor charges, pick something a little lower to be safe, and ship it. That number, chosen in an afternoon out of nervousness, will shape your runway, your hiring, your ability to spend on growth, and how customers perceive what you sell. And it is almost always too low.

The underpricing trap is not a rounding error. It is a structural mistake that starves a young company of the cash it needs to grow, while signaling to the market that your product is cheap and therefore probably not very good. The cause is rarely bad math. It is a value communication problem dressed up as a pricing problem, plus a healthy dose of founder imposter syndrome that whispers "who am I to charge that much."

Cost-plus is the wrong anchor

The intuitive way to price is cost-plus: figure out what it costs you to deliver, add a margin, done. This feels responsible. It is also the surest path to leaving money on the table, because it anchors your price to your expenses instead of to the value your customer receives. Your costs are your problem. The customer does not care what it costs you to run the thing. They care what it does for them.

Value-based pricing flips the anchor. You set the price according to the value the customer believes they receive, measured in money saved, time recovered, or pain removed. If your software saves a customer a meaningful amount each year, you can charge a real portion of that value rather than capping yourself at cost plus a thin margin. The price reflects the economic benefit you deliver, not the cost of your servers.

A concrete example makes this obvious. Suppose your tool automates a process that currently takes a customer's team ten hours a week. At a loaded cost of even $30 an hour, that is $300 a week, roughly $15,000 a year, in recovered time. That recovered-hours framing is the same one you use to prove an automation project paid for itself in hours saved, just pointed at the customer's economics instead of your own. Pricing that tool at $50 a month because "that feels affordable" is not generous, it is a failure to capture any meaningful share of the $15,000 you just handed back to them. A price of $200 a month still gives them a return many times what they pay, and it gives you the revenue to actually build a company.

The 10x rule and how to use it

A useful guideline that keeps you honest in both directions is the 10x ROI rule: the customer should walk away with far more value than they pay, often around ten times. This is not a law, it is a sanity check. It keeps you from underpricing, because if you are charging $50 to deliver $15,000 of value, you are at 300x and clearly leaving money behind. It also keeps you from gouging, because if your price approaches the value you deliver, the customer has no reason to buy, since their return shrinks to nothing.

The 10x frame reframes the whole conversation. The question is no longer "what feels affordable" but "what value am I creating, and what share of it can I capture while leaving the customer a return they would be foolish to refuse." That is a question you can answer with numbers from your actual customers, not a feeling you have at 11pm.

Reading the signals that you are too cheap

You do not need a perfect model to know you are underpricing. The market tells you, and the signs are consistent.

  • No one ever complains about your price. If price never comes up as an objection, you have not found the ceiling. A healthy price gets occasional pushback. Universal "yes, sure" means you left room above you.
  • Your sales cycle is suspiciously short. When B2B buyers say yes in under a week without negotiation, the decision was too easy, which usually means the price was trivially low relative to the value.
  • Customers report massive ROI. If your customers are getting enormous returns and telling you so, that return is partly money you could have captured and chose not to. If the value you deliver is uptime, the real cost of an hour of downtime is the number your price should be sharing in.
  • Competitors charge far more for the same or less. If similar or weaker products cost multiples of yours, the market has already decided the category is worth more than you are asking.

Any one of these is a hint. Several together are a flashing sign. The fix is not to apologize for raising prices. It is to recognize that the market was telling you the value was higher than your nerve allowed.

Naming the real obstacle: imposter syndrome

The reason founders underprice their best tier is rarely analytical. It is emotional. Many founders cannot bring themselves to charge what their product is worth because some part of them does not believe they deserve it. If you are providing $100,000 of value to a customer, charging $20,000 for it is not greedy, it is a five-to-one return that any rational buyer would take. Yet founders routinely price that tier at $5,000 because $20,000 feels like a number "someone else" charges.

The customer is not buying your self-image. They are buying an outcome, and they will judge the price against that outcome, not against your sense of whether you have earned it. Price the value. Let the market correct you down if you went too high. Do not pre-emptively correct yourself down out of fear, because that correction is invisible and permanent.

Pricing a product nobody has bought yet

The hardest version of this is pricing version one, before you have a single paying customer to study. You have no usage data, no ROI testimonials, no objection patterns. Here is how to do it anyway.

Start from the customer's existing cost. Before your product exists, the customer is already paying to solve this problem somehow, whether through staff hours, a worse tool, or the cost of leaving it unsolved. Quantify that current cost as best you can. Your value is the gap between their current cost and the cost of using you, and your price is a share of that gap.

Then price toward the higher end of your honest estimate, not the lower, because you can always discount and it is far easier to lower a price than to raise one. That higher price is also easier to defend when your product can point to something competitors cannot copy, the way reliability becomes a competitive moat or a security posture turns into a closing argument. The number is only half the job, though: the pricing page that makes the right plan feel obvious is what turns a defensible price into actual conversions. Launch the new price for new signups only, so you can watch conversion without disturbing anyone. If conversion holds and nobody flinches, you priced too low and can go higher. If conversion collapses and every conversation stalls on price, you have learned your ceiling cheaply.

Structure follows value

Once you have anchored to value, the model is a secondary decision. Tiered pricing remains the most common structure, used by roughly two-thirds of SaaS companies, because it lets different customers self-select into the value they need. Usage-based and hybrid models have grown quickly, partly driven by AI costs that scale with consumption, with a large share of companies now incorporating at least some usage element. If your product has AI features, that consumption math is its own problem, and pricing an AI feature so token costs never eat your margin deserves a deliberate model rather than a flat per-seat guess. The right structure depends on how your value scales: per-seat if value grows with team size, usage-based if value grows with volume, tiered if value grows with capability. But structure is the second question. Value is the first, and getting the value anchor right is what separates a price that funds a company from one that quietly bleeds it.

Pricing is not a one-time decision you make at launch and live with forever. It is a hypothesis you test and revise as you learn what your product is actually worth to the people who pay for it. The first real customers are also the ones who teach you what the value actually is, which is one reason founders should sell the first hundred software deals themselves before handing pricing to anyone else. Whether you are shipping a brand-new web app or sizing up a product strategy with us in a consultation, the first move is the same: stop pricing your costs and start pricing the outcome. The number you choose out of fear will haunt your runway. The number you choose from value will fund your growth.