A product that saves a buyer $800 a year should not be priced from what it costs you to make. Value based pricing sets the price from what the offer is worth to the buyer compared with their next best option, then decides how much of that worth to keep. We do the calculation, measure the inputs, and make the resulting price defensible in front of a purchasing team.
Most companies agree with value based pricing in principle and then set prices the way they always have: cost plus a markup, or the competitor’s price minus a little. The idea stays in the strategy deck because nobody has turned “we deliver more value” into a number a buyer can check.
The number has a name. Economic value to the customer, usually shortened to EVC, is the price of the buyer’s next best alternative plus the net value of everything your offer does differently. That definition is the core of every value-based pricing model we build, and it has three consequences that matter commercially:
The difference between value and willingness to pay is worth naming too. EVC is what the offer is worth if the buyer understood it fully. Willingness to pay is what they will actually pay given what they currently believe. The distance between the two is a communication problem, and closing it is part of the work.
Illustrative example. A manufacturer sells an industrial filtration cartridge that lasts six months. The buyer’s current option is a competitor cartridge at $120 that lasts three months. Our manufacturer has priced from cost: $90 to make, a 60% markup, $144 a unit.
Start with the reference value. The buyer currently spends four x $120 = $480 a year per machine on cartridges. Our cartridge replaces two of theirs, so its reference value is $480 / 2 = $240, already well above the $144 being charged.
Then the differentiation value, per machine per year. Each changeover costs the buyer two technician hours at $60 plus one hour of lost output at $250, so $370.
| Value driver | How it is calculated | Annual value |
|---|---|---|
| Fewer changeovers | Two fewer changeovers a year at $370 each | +$740 |
| Lower energy use | Lower pressure drop across the filter, measured on the buyer’s line | +$180 |
| Adapter to fit the housing | A $200 one-off cost for the buyer, spread over two years | -$100 |
| Net differentiation value | The three drivers added together, per machine per year | +$820 |
Spread over the two cartridges a year, that is $410 of differentiation per cartridge. EVC per cartridge is therefore $240 + $410 = $650.
Now the price decision. At $144 the manufacturer keeps $144 of $650, about 22% of the value it creates, and earns $54 a unit. Suppose it moves to $330:
The example only works because every driver has a source the buyer would accept. Inventing drivers in a workshop is how value work loses credibility. We build each one from evidence, in roughly this order:
The buyer’s operating data.
Downtime cost, labor rates, energy prices, scrap rates, time to quote. For a services business the equivalents are hours saved, response times, and the cost of an error.
Your own performance data.
Service life, failure rates, delivery reliability, first-time fix rates. If you cannot prove the advantage from your own records, it does not go in the calculation.
Customer interviews.
Structured conversations with buyers and users, including lost prospects, to find drivers that no dataset shows. In industrial and distribution markets these interviews regularly show that speed of response and availability are worth more than the headline price.
Quantitative willingness to pay research.
Where the stakes justify it, a survey or conjoint study tests how much buyers will trade for each attribute. The methods, sample sizes, and pitfalls are laid out on our pricing research page.
The output is a value model per segment: a spreadsheet the sales team can open in front of a customer, with the buyer’s own inputs in the yellow cells.
Segments for value pricing are not the segments in your CRM. They are groups of buyers whose economics differ enough to justify a different price: plant size, downtime sensitivity, service intensity, region, or buying process. Two client engagements show what that looks like.
+8%Price realization
A premium industrial chemicals and equipment manufacturer. Here the segments turned out to be geographic. The value its products delivered was similar everywhere, but what buyers would concede for it was not: North American and European accounts barely reacted to price, and Asia-Pacific accounts reacted sharply. A single global price had been leaving money in two regions and losing deals in the third. The value-based model we built set prices by product, region, and segment, with distributor terms brought into line so the end price actually followed the model. Price realization, as the client reported it, rose 8%.
48% → 53%Margin target
A services firm selling on subscription to some 18,000 US accounts. Its target was margin: five points or more, taking it from 48% to at least 53%, by pricing each customer group on what it valued. Price had drifted so far from value that two comparable accounts, similar in volume and revenue, were billed $7.7K and $3.7K annually. We recommended tiers built on perceived value, increases of between 11% and 25% aimed at the accounts whose history and stickiness could carry them, and a steady closing of the gap between like-for-like customers.
In both cases the value work did not start with the average customer. It started with the spread, because the spread shows where price and value have drifted apart.
Value based pricing is not the answer to every pricing question, and a firm that says otherwise has not done much of it.
The product is genuinely undifferentiated.
When the offer matches the alternative on every driver that matters, EVC equals the reference price and the market sets it. The work moves to cost to serve, pricing and packaging, and service levels that differentiate.
The buyer cannot measure the benefit.
If the value shows up somewhere the customer does not track, the calculation is correct and still unsellable. The first step is helping them measure it, often through a pilot.
The buying process ignores value.
A reverse auction or a procurement scorecard that weights price at 70% will not reward a value argument. You price to win the scorecard, or you change who you sell to.
Sales cannot hold the price.
A value price that is discounted back to cost-plus in every negotiation is worse than no change, because it teaches buyers to wait. That is the subject of the next section.
The calculation is the easy half. The price has to reach the invoice, and it passes through a purchasing team whose job is to take value back. Three tools carry it through.
Software changes the mechanics, not the principle. In value based pricing SaaS work the key decision is the value metric: the unit the customer pays for, which should grow as the value they receive grows. Seats track value when every user gets the same benefit. They stop tracking it when a product automates work, because the value rises as the number of users needed falls.
Three questions organize the work:
The full set of SaaS model choices, including usage-based and AI pricing, is covered on our SaaS pricing page.
Bring one product and one segment. We will show you what its economic value looks like to your buyer, and what share of it your current price captures.
Charging what the market will bear is opportunistic: it follows what buyers accept this quarter. Value based pricing is anchored to a calculation the buyer can see, which is why it survives renewals and procurement reviews. It usually produces higher prices for some segments and lower ones for others.
Yes, though the calculation happens at two levels. The end customer’s EVC sets what the market can bear; the distributor’s margin, rebates, and incentives decide whether that price reaches the end customer. Aligning the second with the first is often where the realization gain comes from.
Then the gap between cost and EVC narrows and the product becomes less attractive to sell, which is useful information. Value pricing does not ignore cost; it uses cost as the floor and as a signal of which products to redesign, reposition, or retire.
It works well there, because each quote can carry its own value logic. The practical step is a pricing guide by job type and customer segment, with a value checklist the estimator completes, so custom quotes stop being priced as hours times a rate.
A first model for one product family and two or three segments usually fits within our standard engagement of six to 10 weeks, including customer interviews. The model then improves as sales uses it and buyers supply real inputs.
Not across the board. It usually means raising prices where value is underpriced, holding them where the fit is right, and sometimes lowering them in segments where the current price blocks growth. The average rises because the high-value segments were subsidizing the rest.
It tests whether buyers perceive the value the calculation says they receive. Where perception and EVC agree, the price can be set with confidence. Where they disagree, the gap tells you what to prove or communicate before the price goes up.
