How Do You Structure Prices Across Your Product Range to Maximize Profit?
Most price architectures are built on cost-plus and competitor benchmarks. The profit is in knowing which products can carry more — and why.
The short answer
Portfolio pricing — which SKU carries what price, how the tiers step up, where the good-better-best lines fall — is almost always set on one of two bases: cost-plus (a uniform markup on what each product costs to make) or competitor matching (whatever the benchmark down the aisle charges). Both feel disciplined. Both leave profit on the table, because neither has anything to do with what a buyer is actually willing to pay. The better basis is causal willingness-to-pay per product — and the small set of drivers behind it. Get that, and the architecture tells you which products can carry more, and why.
Why cost-plus and competitor matching cap your profit
Cost is an input to your business. It is not an input to your customer's decision. When you price every product in a range on the same markup, you implicitly assume every product delivers the same value per euro of cost — which is never true. Some SKUs deliver high value on exactly the attributes that make buyers pay more; a cost-based price caps them, and the surplus is handed back for free. Competitor matching has the mirror flaw: it anchors your range to their cost structure and their assumptions about value, not to what your buyers value in your products.
The fix is to measure willingness-to-pay per product causally — and then find which few attributes actually drive it. This is the same failure we describe in why market research is broken: measuring what's easy to state, not what actually causes behaviour.
20-plus candidate value drivers — only six mattered, and one dominated
In a B2B industrial-packaging pricing project recounted in Dr. Buckler's book The End of the KPI-Illusion, the team started with a long list of more than 20 candidate value drivers — the attributes everyone assumed influenced what customers would pay. Causal analysis with Universal Structure Modeling cut through the list: only about six actually mattered, and a single factor dominated willingness to pay.
From that model SUPRA built a willingness-to-pay diagnostic tool that predicted the achievable gross-profit percentage for a given deal — before the negotiation started. The sales team adopted it, walking into negotiations knowing what the account could bear rather than guessing from a cost-plus sheet. The price architecture followed the value, not the cost.
Cost-plus architecture vs causal willingness-to-pay architecture
| Dimension | Cost-plus / competitor-matched | Causal WTP architecture (SUPRA) |
|---|---|---|
| Anchor | Your cost, or the competitor's price | What each product's buyers will actually pay |
| Method | Uniform markup + benchmarking | Causal AI (USM) — willingness-to-pay per SKU |
| Tiering | Stepped by cost or feature count | Stepped by the few attributes that drive value |
| Blind spot | High-value products get under-priced | Reveals which SKUs can carry more — and why |
"Most of the 'value drivers' everyone argues over are passengers, not drivers. And cost-plus prices every product to your accountant instead of your customer — which is exactly how a range leaves money on the table."
How to price a consumer range this way
The packaging case was B2B, but the logic generalises to any consumer range with more than one SKU. The steps are the same:
- Measure causal willingness-to-pay per SKU — not a blanket price-sensitivity number, but how much each product's buyers will genuinely pay for that product.
- Find the few attributes that drive it — as in the packaging case, most candidate drivers turn out to be passengers; a handful, sometimes one, does the work.
- Set the architecture to value — price each product, and each tier of the good-better-best ladder, to what its buyers actually value, so the products strong on the dominant driver carry the higher price.
The method is the same causal AI foundation behind our decision-intelligence pricing work, and it's the same reasoning we use to show how premium brands raise prices without losing volume — and what separates it from conventional pricing consulting.
Frequently asked questions
How do I structure prices across my product range to maximize profit?
Anchor the architecture on causal willingness-to-pay per product, not on cost-plus or competitor benchmarks. Measure what each SKU's buyers will actually pay, identify the few attributes that cause that willingness, and set your tiers and good-better-best levels so each product is priced to the value it delivers. In an industrial-packaging project, a causal willingness-to-pay model let the sales team predict achievable gross-profit percentage before negotiating.
Which products in our range could carry a higher price?
The ones whose buyers place the highest causal value on the attributes that actually drive willingness to pay — rarely the highest-cost or most feature-rich SKUs. A causal analysis ranks each product by the price its buyers would genuinely bear, exposing which are underpriced for the value they deliver. In the packaging case, a single dominant factor drove willingness to pay, so the products strong on that one factor were the ones that could carry more.
How do I find the profit-optimal price architecture?
Build a causal model of willingness to pay across the range, find which few drivers actually move it, and price each product to the value its buyers assign — then simulate profit across the tiers. In the industrial-packaging project, over 20 candidate drivers were tested and only about six mattered, which is what made a tool predicting achievable gross-profit percentage possible.
Why does cost-plus pricing leave money on the table?
Because cost has almost nothing to do with what a buyer is willing to pay. A uniform markup ignores that different products deliver different value to different buyers, so products strong on the attributes that drive willingness to pay get capped at a cost-based price and their extra value is given away. Pricing to causal willingness-to-pay recovers that surplus product by product.
Find out which products in your range can carry more
Bring your range and your current price list. We'll show you whether a causal willingness-to-pay read reveals profit your cost-plus architecture is leaving behind.
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