Financial Strategy
Cost-plus or value pricing? The value-anchor test
Cost-plus pricing anchors your price to your cost, but the customer anchors to their next-best alternative. The value-anchor test asks three questions: their next-best price, the outcome you deliver, and what a 10% better outcome is worth. If your price sits below that anchor, there is uncaptured margin, usually $5 to $20 per unit.
Key Takeaways
- Cost-plus is the default under $5M, and it is why your margin is thinner than it should be. It anchors price to your internal cost. The customer anchors to the price of their next-best alternative. Those are two different numbers, and the gap is uncaptured margin.
- The value-anchor test is three questions. What is the customer's next-best-alternative price, what measurable outcome does the product deliver, and what would a 10% better outcome be worth in dollars. If your price sits below the alternative adjusted for how much better you are, raise it.
- A 1% price gain lifts operating profit by roughly 6-14%. Because incremental price carries almost no incremental cost, it beats a 1% cost cut or a 1% volume gain by a wide margin. Shifting from cost-plus to value-based pricing improves return on sales by 5-10 points.
- Most brands have the room and do not use it. Two-thirds of companies (68%) have sustainable pricing power and 80% passed through their cost increases, yet they realize just 43% of the increases they do plan. The headroom is common precisely because so few actually capture it.
- Confirm the finding with a controlled A/B test before you go sitewide. One SKU, 50/50 split, revenue per visitor as the metric, 2-4 weeks, price consistent across product page, cart, and checkout. A clean test is what turns a hunch into a defensible raise.
When a founder sets the price on a new product, the move is almost always the same. Take the unit cost, add a markup that feels safe, round to a number that looks clean on the site, ship it. It is fast, it guarantees you cover cost, and for brands under $5M in revenue it is the dominant default. It is also, most of the time, quietly leaving money on the table. The reason is simple: the number that decides what a customer will pay is not your cost. It is the price of their next-best alternative, adjusted for how much better or worse your product is. This post gives you the three-question value-anchor test to find the gap, runs it on one representative SKU so you can see the headroom in dollars, and hands over the controlled A/B design to confirm the number before you touch a sitewide price. It is scoped to US DTC brands, but the mechanics travel anywhere.
Cost-plus is the default under $5M, and that is the problem
There are two anchors in every pricing decision, and cost-plus only sees one of them. The first anchor is your cost. You know it precisely, it feels concrete, and building a price on top of it guarantees you never sell at a loss. The second anchor is the price of the thing the customer would buy instead if you did not exist. That number is set by your competitors and substitutes, not by your factory. Cost-plus pricing anchors to the first and ignores the second entirely, which is exactly why it leaves margin behind.
This is not a fringe habit. More than half of B2B manufacturers still rely on cost-plus pricing for their daily decisions, and the pattern holds even harder for early DTC brands that have never had a finance function tell them otherwise. The consulting research is blunt about the cost of the default: shifting from cost-plus to value-based pricing improves return on sales by 5 to 10 percentage points. That is not a rounding-error improvement. For a brand running a 10% net margin, capturing even the low end of that range would move the needle on the entire business.
When we sit with founders, the most common finding is not that the product is wrong. It is that the price is anchored to what feels safe, usually at or below a competitor who is quietly charging more. One operator told us his category "kind of races to the bottom in terms of pricing, and I've always had a really difficult time" holding the line. That is the trap: cost-plus plus competitor-matching becomes a downward ratchet, where everyone prices off everyone else's costs and nobody prices off the customer's willingness to pay.
The willingness-to-pay research is the mechanism underneath all of this. Buyers form an internal reference price from the most attractive alternative in their actual consideration set, and that reference, not your cost, is what they measure your price against. Anchoring effects on willingness to pay are strong and well replicated. The practical version one founder gave us was concrete: "Generally people are willing to pay more for something on Amazon than they would on a website. I just did it yesterday. I bought something that was $5 more and they didn't have to drive somewhere." Same product, different reference, different price. Your cost never entered the customer's head.
The value-anchor test: three questions
The test converts that abstract idea into three questions you can answer for any SKU on a single sheet of paper.
Question 1: What is the customer's next-best-alternative price? This is the realistic thing they would buy instead of you: a direct competitor, a substitute, or "do nothing." It is the reference anchor, and it is almost never your cost. If you sell a $40 consumable and the two closest substitutes retail at $42 and $50, the customer is weighing you against roughly $46, not against your $14 of COGS.
Question 2: What measurable outcome does the product deliver? Value-based pricing requires the outcome to be nameable, ideally quantifiable. What concrete result is the customer buying: time saved, a job done faster, a higher dose, a longer supply, a risk removed, a quality they can point to. If you cannot name the outcome, you cannot defend a premium, and you probably should stay closer to the reference price.
Question 3: What would a 10% improvement in that outcome be worth in dollars? This is the step that turns differentiation into a number. If the category outcome is roughly "worth" the next-best-alternative price, then a credible 10%-plus improvement in that outcome is worth something on the order of $5 to $10 more than the reference. That figure is the ceiling of your headroom. You capture a fair share of it, not all of it.
The decision rule falls out of the three answers. If your current price sits below the next-best-alternative price adjusted for your differentiation, there is uncaptured margin, and the size of the gap is roughly the headroom. Cost-plus systematically misses this because it never asks any of the three questions. It looks inward at cost and stops there.
A caution the research is emphatic about: raising a price is only real once you also have the discipline to hold it and the outcome to justify it. We will come back to why the test is a starting hypothesis, not a license to reprice everything by Friday.
Returns are quietly eating your margin. See by how much.
Get our Real Cost of Returns calculator: plug in your numbers, see the true hit per return.
Check your inbox. We'll send the Real Cost of Returns calculator shortly.
Run it on one SKU
Take a representative SKU: a differentiated DTC consumable, currently priced cost-plus. Unit COGS is $14. The founder applied roughly a 2.85x markup and landed on a $40 list price, no reference to competitors or outcome. COGS is 35% of price, which sits at the top of the 13-35% range operators tell us is normal for this kind of product.
Now run the test. The two closest substitutes retail at $42 and $50, so the customer's realistic reference is about $46 (Question 1). Assume for the example that the product delivers a measurably better result than both, and that you can prove it: say a higher active-ingredient dose and a longer supply (Question 2). A credible 10%-plus improvement on that outcome is worth on the order of $5 to $10 above the reference (Question 3). Anchoring off the $46 reference and capturing a fair share of the differentiation lands the SKU at $46 to $48. Call it $46 to stay conservative. The value-anchor price is not $40.
Here is what the raise does to the unit economics.
| Line item | Cost-plus (current) | Value-anchor (test) |
|---|---|---|
| List price | $40.00 | $46.00 |
| Unit COGS | $14.00 | $14.00 |
| Contribution margin per unit | $26.00 | $32.00 |
| Contribution margin % | 65% | 70% |
| Incremental CM per unit | n/a | +$6.00 (+23%) |
| Break-even volume cushion | n/a | up to 18.75% units lost |
The $6 raise carries no incremental COGS, shipping, or processing, so it flows almost entirely to contribution: margin per unit rises 23%, from $26 to $32. The break-even cushion is the reassuring part. You can lose up to 18.75% of your units and still hold total contribution dollars flat, because 1 minus 26 divided by 32 equals 0.1875. On 10,000 units a year, the raise is worth an extra $60,000 of contribution at flat volume, and even if volume falls a full 10%, 9,000 units at $32 still beats 10,000 units at $26 by $28,000.
That is the whole case for why price is the most powerful lever you have. A dollar of extra price is a dollar of extra profit; a dollar of extra volume drags COGS and fulfillment along with it.
The chart shows the classic McKinsey relationship: a 1% improvement in price lifts operating profit by roughly 6-14%, far more than a 1% cost cut, worth around 3-4%, or a 1% volume gain. The magnitudes vary by study and industry, so treat them as directional, but the ranking is stable across every version of the research. One founder we worked with corroborated it in the plainest terms: a small per-unit price fix, paired with a shipping fix, "dropped straight to the bottom line." That is what price power feels like in a real P&L.
Most brands have the room and do not use it
If value-anchor headroom were rare, cost-plus would not matter much. It matters because the headroom is everywhere, and the reason it persists is that so few brands actually capture it. The Simon-Kucher State of Pricing 2025 study makes the under-monetization visceral.
Read the funnel from top to bottom. 80% of companies passed through their cost increases last year, so most brands will defend margin when input costs rise. 68% demonstrated sustainable pricing power, meaning their revenue grew at least as fast as their costs. That is genuine pricing power. Yet of the increases companies do plan, they realize just 43% on average. So most brands defend margin, two-thirds have real pricing power, and even then they capture less than half of the increases they reach for. The room is nearly everywhere; the capture is what is rare.
Bain's survey of more than 1,700 companies points the same direction: about 85% believe their pricing decisions could improve, and disciplined pricing programs reach 2 to 7 full points of margin. In one industrial case Bain documents, a 7% price increase produced 95 basis points of a 350-basis-point total margin improvement. Companies with dedicated pricing discipline and software showed roughly 2.5x stronger outcomes than those without.
The pattern we see again and again is that founders assume a raise will cost them dearly, and it usually does not. One brand "ran an exercise recently where we put prices up a little bit," and the only real question afterward was whether anything happened to their marketplace rankings or buy-box position. The honest answer, for a differentiated product, is often: nothing bad. That is the break-even cushion doing its quiet work. A meaningfully differentiated SKU absorbs a mid-single-digit-percent raise without the volume falling off a cliff, because the customers who valued the differentiation were never shopping purely on price.
| Finding | Figure | Source |
|---|---|---|
| B2B manufacturers still pricing cost-plus daily | >50% | Vistaar / 7 Sages, 2024 |
| Return-on-sales lift: cost-plus to value-based | 5-10 pts | McKinsey (via Vistaar) |
| Operating-profit uplift from a 1% price gain | ~6-14% | McKinsey (via Vistaar) |
| Companies that passed through cost increases | 80% | Simon-Kucher, 2025 |
| Companies with sustainable pricing power | 68% | Simon-Kucher, 2025 |
| Average realization of planned increases | 43% | Simon-Kucher, 2025 |
| Companies that say pricing could improve | ~85% | Bain (1,700+ cos.) |
Confirm it with a controlled A/B test before you touch the sitewide price
The value-anchor test gives you a hypothesis: this SKU has headroom, the value-anchor price is $46. A hypothesis is not a mandate. The reason companies realize only 43% of the increases they plan is that customers resist, competitors react, and the number that looked obvious on paper meets reality. So you confirm it with a controlled test before you commit.
The design is deliberately narrow. Pick one SKU, your highest-volume differentiated product, so the test finishes quickly and the result is clean. Split traffic 50/50 between the current price and the value-anchor price. Keep the price consistent across the product page, the cart, and checkout, because an inconsistency there breaks trust and poisons the read.
The metric matters more than anything else here. Judge the test on revenue per visitor, not conversion rate. Conversion rate alone is misleading, because you can always lift conversion by dropping price; revenue per visitor captures both the conversion change and the higher margin per order that a price change causes, which is the whole point. Run it for two to four weeks, or at least two full business cycles, so a single promo week or a payday spike does not skew the result. Size it to roughly 15,000 to 50,000 visitors per variant depending on your baseline conversion rate and the minimum effect you care to detect.
| Parameter | Recommendation |
|---|---|
| Scope | One SKU (highest-volume differentiated) |
| Split | 50/50 control vs variant |
| Primary metric | Revenue per visitor (RPV) |
| Secondary metrics | Conversion rate; AOV; margin per visitor |
| Duration | 2-4 weeks / at least 2 business cycles |
| Sample size | ~15k-50k visitors per variant |
| Consistency | Same price on product page, cart, and checkout |
If revenue per visitor holds or rises at the higher price, you have a defensible raise and the data to back it. If it falls, you have learned the headroom was smaller than the test suggested, and you learned it on one SKU instead of your whole catalog. Either outcome is a win, because the alternative is guessing sitewide.
Your price is anchored to your costs. Your customer is not. Cost-plus guarantees you cover cost and quietly guarantees you leave margin behind, because it never asks what the next-best alternative costs or what your product is actually worth. Ask the three questions, run the number on one SKU, confirm it with a clean test on revenue per visitor, and you turn a hunch about left-behind margin into a raise you can defend.
What to do this week
Pick your highest-volume differentiated SKU. On one sheet, write down its next-best-alternative price, name the measurable outcome it delivers, and estimate what a 10% better outcome is worth. Compute the value-anchor price and compare it to what you charge today. If there is a gap, scope the one-SKU A/B test above and run it before you touch anything sitewide. If you want the broader mechanics of pricing for a DTC catalog, our DTC pricing playbook covers the rest of the toolkit. The point of the exercise is not to raise every price. It is to stop letting your cost be the only number in the room.
Related reading. For who holds pricing power and who does not, see apparel CPI vs DTC pricing power, and for the cost base a cost-plus price builds on, see inventory carrying cost by vertical. For how we choose between cost-plus and value pricing with brands, see our fractional CFO work.
Sources and methodology
The pricing-power and realization figures come from Simon-Kucher's State of Pricing 2025. The 68% sustainable pricing power share, the 43% average realization, and the 80% cost pass-through figure are all drawn from the Simon-Kucher State of Pricing 2025 (Global Pricing Study 2025). Chart 1 in this post is built entirely on that survey.
The margin-uplift and pricing-capability evidence is from Bain. The ~85% of companies that see room to improve, the 2 to 7 points of margin from disciplined pricing programs, and the industrial case turning a 7% price increase into 95 basis points of a 350-basis-point improvement come from Bain's Is Pricing Killing Your Profits?, a survey of more than 1,700 companies.
The McKinsey pricing relationships reach us through a secondary summary. The 5-10 point return-on-sales lift from moving to value-based pricing, the roughly 6-14% operating-profit uplift from a 1% price improvement, and the ">50% of B2B manufacturers still pricing cost-plus" figure are decades-established McKinsey pricing findings, cited here via Vistaar's value-based-pricing analysis. Chart 3 is labeled illustrative because the exact multiplier varies by study.
The willingness-to-pay mechanism draws on anchoring research. The finding that buyers anchor to the next-best alternative rather than to your cost is grounded in behavioral-economics work such as the Stanford GSB working paper on anchoring effects on willingness to pay.
The A/B test design reflects 2026 CRO practitioner consensus. The revenue-per-visitor metric, the 50/50 split, the 2-4 week / two-business-cycle duration, and the sample-size guidance are drawn from 2026 ecommerce testing guides including Baymard Institute's ecommerce UX research. These are practitioner guidance, not a primary academic source.
The worked example and headroom range are illustrative planning benchmarks. The $40-to-$46 SKU, the $14 COGS, and the resulting +23% contribution and 18.75% break-even cushion are internally consistent arithmetic on an illustrative product, not a measured client result. The observation that cost-plus is the dominant default under $5M and that value-pricing conversations surface $5 to $20 of headroom per unit is drawn from Eightx's anonymized DTC client panel and is a planning benchmark, not a published figure. This post is general information, not tax or investment advice; confirm your own numbers before you reprice.
Frequently asked questions
what is the difference between cost-plus and value-based pricing?
Cost-plus pricing takes your unit cost, adds a markup, and rounds to a number that feels right. It only looks inward at your cost. Value-based pricing anchors to the customer's outcome versus their next-best alternative, so it looks outward at what the purchase is actually worth to them. Cost-plus guarantees you cover cost; value-based captures the margin cost-plus leaves behind.
how do i know if my product is underpriced?
Run the value-anchor test. Write down the price of the realistic alternative the customer would buy instead, then judge how much better or worse your product is on the outcome they care about. If your price sits below that alternative adjusted for your differentiation, you are underpriced. In practice, brands under $5M that price cost-plus surface $5 to $20 of headroom per unit.
what is the value-anchor test for pricing?
It is three questions in order: what is the customer's next-best-alternative price, what measurable outcome does your product deliver, and what would a 10% improvement in that outcome be worth in dollars. The answers tell you the ceiling on your price and roughly how much of the gap between your cost-plus number and the customer's reference price is uncaptured margin.
how much more profit does a 1% price increase actually make?
Roughly 6-14% more operating profit, according to McKinsey pricing research, because an extra 1% of price carries almost no extra COGS, shipping, or processing and lands on profit nearly whole. That beats a 1% cost cut, worth about 3-4%, and a 1% volume gain, worth even less. Price is the most powerful lever you have.
how do i figure out what a customer will actually pay?
Start from their next-best alternative, not your cost. Buyers form a reference price from the most attractive option in their actual consideration set, then judge you against it. Find that alternative's price, estimate how much better your outcome is, and price to capture a fair share of the difference. A controlled A/B test then confirms the number before you commit.
how do i test a price increase before changing it sitewide?
Run a controlled A/B test on one SKU. Split traffic 50/50 between the current price and the value-anchor price, keep the price consistent across the product page, cart, and checkout, and judge it on revenue per visitor, not conversion rate. Run it for 2-4 weeks or at least two full business cycles before you decide.
how long should a price a/b test run and what metric do i judge it on?
Two to four weeks, or at least two full business cycles, so a single promo week or payday spike does not skew it. Judge it on revenue per visitor, which captures both the conversion drop and the higher margin per order a price change causes. Conversion rate alone is misleading, because you can always lift conversion by dropping price.
how much volume can i afford to lose after raising price?
It depends on your margins. If a raise lifts contribution margin per unit from $26 to $32, you can lose up to 18.75% of units and still hold total contribution dollars flat, because 1 minus 26 divided by 32 is 0.1875. For a differentiated SKU, a 15% price move rarely costs anywhere near that much volume, which is why the raise usually wins.
is cost-plus pricing ever the right call?
Sometimes. Cost-plus is fast, it guarantees you cover cost, and it is a reasonable floor for a commodity product with no real differentiation or for a brand-new SKU with no reference data yet. The problem is using it as your permanent default for differentiated products, because it never looks at what the customer would pay and systematically leaves margin behind.