Set your first SaaS price by researching what your buyer already pays for the alternative, not by calculating your costs. Costs set a floor, never a price. The procedure is: map competitor pricing and the value metrics they use, ask ten prospects two specific willingness-to-pay questions, pick a value metric that grows with customer success, set three tiers, and then raise the price within ninety days. Almost every founder who has raised prices says the same thing afterwards — that they should have done it sooner.
Your competitor isn't only the tool that looks like yours. It's whatever your buyer currently spends money or hours on to solve this — including doing nothing, which is free and therefore genuinely competitive.
Build a table with a row per alternative and these columns: price, what it scales on, what's in the cheapest tier, what forces an upgrade.
Include:
The upgrade trigger column is the one people skip and it's the most useful. It tells you what each competitor decided the value metric was, which is a decision they've already tested with far more customers than you have.
If everything in your category sits between £20 and £50, that's a corridor formed by real customer behaviour. You can price outside it, but you need a reason you could say out loud to a buyer.
"What would you pay for this?" produces a number people invent to be polite. It correlates with nothing.
These two do better, and they come from the Van Westendorp method:
The gap between them is your viable range. Ask ten people and the clustering is usually clearer than you expect.
Then the question that beats both, when you can ask it:
This is a fact rather than a hypothesis, and facts survive contact with a payment page. Someone spending four hours a month on a manual workaround has told you what your product is worth to them without either of you speculating.
Write the answers down with names. When you set your price you'll want to know exactly who said what, because your first ten customers will come from this list.
The value metric is what the price scales on. Get it right and pricing becomes almost self-correcting; get it wrong and you'll renegotiate forever.
A good value metric:
Common metrics and when they fit: per seat for collaboration; per unit of work (projects, ventures, campaigns) when value is lumpy; per volume (messages, API calls, storage) for infrastructure; flat when usage barely varies and simplicity is worth more than optimisation.
Whatever you pick, it should be legible in one line on the pricing page. If explaining your metric takes a paragraph, buyers will assume it's designed to surprise them — and often they'll be right.
Three. Not four, not one.
Price the middle first. It's the one you're actually selling; the other two exist to make it obviously correct.
Then, before you launch it, grade the page against the checklist below. The heaviest single check is whether a real price is visible at all — hidden pricing filters out every self-serve buyer, and at this stage self-serve buyers are the business. The rest of the checks are ranked by what they cost you, so work the unchecked ones top down.
This page is costing you money from people who already decided to buy. Rebuild it around the unchecked rows before you spend another dollar on traffic.
Weighted by what each one costs you. Do the top item, ship, then measure — fixing all three at once tells you nothing about which worked.
Your first price is a hypothesis, and almost always a low one. Founders underprice because rejection at a low price feels like rejection of the product, while rejection at a high price feels survivable — that's a psychological reason, not a commercial one.
The test: if nobody has ever pushed back on your price, it's too low. A healthy price gets occasional resistance. Zero resistance means you're leaving money on the table and, worse, attracting the customers who churn hardest and demand most.
How to raise it without drama:
Underpricing doesn't buy growth. It buys the wrong customers and removes the margin you need to serve anybody well.
kitty.build's finance board models your unit economics and break-even from the same research it uses for the verdict, so the price you launch with is connected to the numbers rather than to a guess.
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