A pricing strategy is only as good as the price your sales team collects. We help mid-market and PE-backed companies make the four decisions a strategy consists of, set prices segment by segment, and keep them in place, with the senior people who design it staying through rollout.
Most pricing strategies are written as positioning: “we are a premium provider”. Then the first large account asks for 12% off and nothing in the strategy says whether the answer is yes.
We define a pricing strategy as four decisions, each explicit enough that a rep, a finance analyst, and a CEO would give the same answer.
The question it answers
Which unit scales with the value the buyer receives?
What a finished answer looks like
A named value metric or unit, tested against how buyers budget
The question it answers
Where does the price sit between cost and value, per segment?
What a finished answer looks like
A floor, a target, and a ceiling for each segment, with the logic written down
The question it answers
Who can move price away from target, by how much, and when?
What a finished answer looks like
Discount policy, approval levels, and an expiry rule for every exception
The question it answers
Which numbers show that intended price became collected price?
What a finished answer looks like
Three to five KPIs, reviewed on a fixed calendar by a named owner
Most companies skip price setting: last year’s list plus a percentage, with the discount absorbing the difference. A disciplined price is placed between three anchors, and the pricing strategy type decides where between them each segment sits.
Illustrative example. A manufacturer sells a replacement filtration unit. Fully loaded cost is $60 a unit and the minimum acceptable gross margin is 25%, so the floor is $60 / 0.75 = $80. The alternative most buyers quote against costs $88. Today every account pays from one list price of $98 with an average discount of 8%, a net price of $90.16. Research splits the 16,000 units sold each year into three segments.
Segment
A: plants where a stoppage is expensive
B: standard industrial buyers
C: cost-focused buyers now using the alternative
Today: one net price for all
The arithmetic, before any change in volume:
Revenue.
Today: 16,000 x $90.16 = $1,442,560. Segmented: (4,000 x $108) + (10,000 x $94) + (2,000 x $84) = $432,000 + $940,000 + $168,000 = $1,540,000. That is $97,440 more, or 6.8%. Segment A supplies $71,360 of it; segment C gives back $12,320.
Gross profit.
Today: 16,000 x $30.16 = $482,560. Segmented: $192,000 + $340,000 + $48,000 = $580,000. The same $97,440 is a 20.2% rise in gross profit, because cost does not change when price does. Profit grows nearly three times as fast as revenue.
Each segment tells you something different.
Segment A was paying $25.84 below its ceiling; B moves up 4.3%, still $4 under its own. C was quoted above its $88 reference, so it buys elsewhere; at $84, each extra 1,000 units adds $24,000 of gross profit.
The segments need fences so an A buyer cannot claim to be C (see pricing and packaging), and a 19.8% rise for segment A will cost some volume; how much it can afford to lose is the break-even calculation on our price optimization page. The example shows the structure of the decision, not a forecast.
The named pricing strategy types are not alternatives to the four decisions. They are answers to decision two, and the example above uses three of them at once. Most companies need different logic for different segments, held together by one structure and one set of approval rules.
| Strategy type | Where it places price | Fits when | Condition that must hold | How it fails |
|---|---|---|---|---|
| Premium pricing | Near the ceiling | Your difference is large and the buyer can see it | Sales can explain the difference under procurement pressure | Reps concede the premium in the first negotiation because they cannot defend it |
| Competition-based pricing | At or just above the reference | Offers are close to interchangeable | You know the real competitor net price, not the rumored one | Every “they are cheaper” claim becomes a discount without evidence |
| Penetration pricing | Below the reference, above the floor | You are buying share in a segment, or launching | An end date and an exit trigger are set before the first quote | The entry price spreads to other segments and becomes the baseline |
| Price skimming | High at launch, then lower | A new product with a temporary lead | A dated step-down plan | Early buyers feel punished and wait for the next price cut |
| Cost-plus pricing | Floor plus a markup | Custom work where cost is the fair shared reference | Cost includes cost to serve | Value above cost is given away |
Penetration pricing opens a segment by pricing below the reference. Its usual failure is winning share while losing pricing power: sales anchors on the entry price, customers come to expect it, and recovering margin proves harder than getting in. We set three controls before the first quote.
A pricing framework is the order in which the four decisions are made and tested. Ours follows the four phases of Acustrategy’s method.
Research: find where price is set today, and by whom. We analyze transaction data to see list, invoice, and pocket price by segment, rep, and channel, and to locate revenue leakage. Research on value drivers and willingness to pay produces the segments; competitive benchmarks produce the reference prices.
Optimize: make decisions one and two. Pricing and packaging are aligned with business goals, the charge unit is chosen, and each segment gets its floor, target, and ceiling, as in the worked example. The pricing strategy type for each segment is agreed here.
Implement: put the prices into the market without breaking it. Pilots where the risk is real, then a migration plan timed to renewals. Systems are set up so the new prices appear on quotes, not in a spreadsheet beside them.
Govern: make decisions three and four stick. Approval workflows, named decision owners, and a cross-functional review forum; plus the process for future increases and new offers. KPIs are baselined before launch, so the first review measures change against a known start.
A framework applied once is a project, and projects decay. The same work runs as a repeating pricing process on a calendar the business can keep.
| Cadence | What is reviewed | Owner | Decision it produces |
|---|---|---|---|
| Every quote | Price against target and floor; approval if outside the band | Rep, then approver by level | Approve, reprice, or escalate with a reason code |
| Monthly | Discount depth, exception volume, expired exceptions, margin by segment | Pricing owner with the sales leader | Which exceptions end |
| Quarterly | Segment performance, win rate against price, competitor movement | Pricing owner with the CFO | Structural fixes: fences, packaging, band widths |
| Annually | Price levels, the increase decision, whether the charge unit still fits | CEO, CFO, and commercial leaders | New list prices and targets, communicated to customers on a planned date |
Every exception carries an expiry date, so the monthly review has something to close, and the annual increase is decided once, not account by account. Our guide to price increase strategy sets out how that decision is sequenced.
Dynamic pricing changes price automatically as inputs move: costs, demand, inventory, or competitor positions. In B2B it fits a narrower set of situations than its popularity suggests, and it fails when prices move faster than customers and sales teams can follow. Our dynamic pricing consulting work starts with a fit test, then chooses the lightest mechanism that solves the problem.
| Test | Points toward dynamic pricing | Points away from it |
|---|---|---|
| Input cost volatility | A major input moves more than your margin can absorb within a contract term | Costs are stable year to year |
| Order pattern | Many small, frequent orders, often from a catalog or web store | A few large contracts negotiated annually |
| Price visibility | Buyers expect prices to move, as with commodities | Buyers budget a fixed price and punish surprises at renewal |
| Ability to explain | Every change can be traced to a published rule | Changes come from a model nobody on the sales team can explain |
Most B2B companies pass two or three tests; for them a rule beats an algorithm.
Illustrative example of pass-through. Resin is 40% of the $60 unit cost in the example above, or $24. If the resin index rises 15%, cost rises $3.60. Passing $3.60 through holds margin dollars. Holding segment B’s 36.2% margin as well needs a price of $63.60 / (1 – 34/94) = $99.64, a rise of $5.64.
Done well, dynamic rules reduce discounting: a change defined in advance does not have to be negotiated, and reps know when a price can move and when it cannot. Where signals conflict or a model breaks, a named person decides, within the same floors and approval levels as a fixed price.
The output is working documents and tools, not a presentation:
To apply and monitor the rules in quoting systems after the engagement, PricePro©, Acustrategy’s pricing management platform, carries them forward.
Each result below is the client’s own reported figure, and each client is anonymized.
+8%Price realization
A premium industrial chemicals and equipment manufacturer. Its distributors priced as they saw fit, no one inside the company owned pricing, and earlier increases had lost volume where buyers were most price sensitive. Research found that sensitivity split by region: low in the United States and Europe, high in Asia-Pacific. The new strategy priced on value by region and segment, brought distributor pricing and incentives into line with it, and set escalation rules. Price realization rose 8%, the client reported.
+8.1%Gross margin
A rigging hardware distributor. Its 110,000-plus SKUs were sold through 40+ locations by 100+ salespeople at inconsistent prices. Customer research found that buyers valued quote response time, availability, and support, and would pay more for them. Price floors, clear decision roles, and recalibrated sales incentives made the strategy enforceable. Over the first 12 months the client reported gross margin up 8.1%, and compliance with approved pricing up from under 40% of transactions to 77%.
No figureStated by the client
A premium industrial cleaning products and machines manufacturer. Distributors were undercutting the direct channel, and past increases on commodity lines had caused large volume drops. End customers, though, would pay for reliability, cleanroom standards, and sustainability. Prices were differentiated by product, industry, and region, formal pricing policies and escalation guidelines were written, and sales were trained to price on total value delivered. The client states no figure for this engagement, so none is quoted here.
Some problems look like pricing and are not. We check for three before scoping any work.
The offer no longer fits the market.
If win rates are falling because of the product, a new pricing strategy will only make the decline more precisely priced.
The strategy is sound and the problem is enforcement.
If reps ignore sound prices, the work is governance and incentives, which our commercial strategy consulting addresses.
The executive team will not back a floor under pressure.
A price book is tested the day a major customer threatens to leave.
The firm was founded in 2008, and its team has run more than 100 pricing engagements for mid-market and PE-backed companies in manufacturing and industrial, distribution, technology and SaaS, and business and professional services. You work directly with senior people, not a revolving team of juniors. Several have held CEO, CRO, or CMO roles and carried revenue targets of their own. A typical engagement runs six to 10 weeks, and we stay through the rollout, because that is when a pricing strategy is tested. For how to judge any outside pricing adviser, see our pricing consultant page.
Tell us which of the four decisions is least settled in your business. We will say what answering it would take, and whether now is the time.
The strategy is the set of answers: what you charge for, at what level, who may change it, and how success is measured. The framework is the method that produces and tests those answers. Without a framework, a strategy is hard to update, because nobody knows which evidence the answers rested on.
There is always a reference; it is just not a competitor’s price list. It may be the buyer’s current workaround, the cost of doing the job in-house, or the cost of doing nothing. Price the reference first, then add the value of your difference; new categories that anchor on cost usually underprice themselves.
Yes, and most should, as the worked example shows. What makes it coherent is one price architecture, fences that keep each buyer in the right segment, and one approval policy covering all three. In practice the rep sees one price book; the segment decides which band applies to the quote.
A cost move larger than your margin can absorb, a competitor changing its structure rather than just its price, an acquisition that adds another company’s prices, or a new product that overlaps an old one. A single lost deal is not a trigger; a pattern of them across a segment is.
No. Software executes rules; consulting decides whether prices should move automatically at all, which mechanism to use, and where the floors and approval limits sit. Often the answer is an index clause, not an algorithm. Software bought before those decisions are made automates whatever discount habits already exist.
The CEO signs off the four decisions, the CFO owns the floors, and the sales leader owns behavior inside the bands. One person is named as the pricing owner who runs the calendar. When a private equity owner has set the agenda, its operating partner should review the strategy before the CEO signs it.
