Which SKUs Can You Premiumize? Using Price Elasticity to Decide Where to Raise, Hold, or Compete on Price

Most companies apply the same price increase to every SKU. That is almost never the profit-maximizing decision. Some products could absorb 8-10%. Others should not move at all. The challenge is knowing which is which, and SKU price elasticity provides the answer.

The short answer. SKU price elasticity, read from your own order history, shows which products customers kept buying after their last price increase. That is also how firms use elasticity to their advantage when differentiating products: they premiumize the SKUs customers keep buying, raise commodity prices only with the market, hold differentiated products that are not yet behaving differently, and compete on price only where the customer can buy the identical item elsewhere.

To premiumize means to price deliberately above the standard company increase because customers have shown lower price sensitivity. In one composite catalog, the same pricing round met a SKU at -0.4 and another at -3.2. A flat 4% increase added $58,455 of contribution on four SKUs. One move per SKU added $81,181.

Costs tell you that you need more money. Customer behavior tells you where it can come from.

This guide gives mid-market manufacturers and distributors a five-step method to measure SKU price elasticity from an ordinary order-line extract, the SKU Pricing Power Matrix that turns each estimate into a move, and the break-even arithmetic that sizes the move. You need no specialized pricing software and no pricing hire.

What is SKU price elasticity, and why does one company-wide number mislead?

SKU price elasticity is the percentage change in units sold for a given product divided by the percentage change in its net price. The textbook version in OpenStax’s Principles of Economics measures both changes with the midpoint method, so the answer is the same whether the price went up or down. Read the result as an absolute number. Below 1.0 is inelastic: volume moves less than price. Above 1.0 is elastic: volume changes by a greater percentage than price.

Most companies carry one elasticity in their heads, usually a gloomy one: our customers are price sensitive. That sentence represents the one customer who complained last week, not necessarily your whole catalog. Published averages do not settle it either. Tellis’s 1988 meta-analysis reported an average of -1.76 across 367 estimates. The 2005 update by Bijmolt, van Heerde, and Pieters pooled 1,851 elasticities from 81 studies, almost all of which were for consumer brands, and found a value of -2.62. The SKUs that matter to a pricing decision sit far from either average, on both sides.

Manufacturers and distributors also face a harder measurement problem than a grocer. A grocery item can change price dozens of times a year, while a typical industrial SKU changes list price once, at the annual increase or perhaps quarterly. Our guide to price elastic and inelastic demand covers the heavier estimation methods, up to log-log regression. This article stays with the simplest method that works on that kind of data.

How do firms use elasticity to their advantage when differentiating products?

They use it to learn which of their differences customers will pay for. Product differentiation counts when customers keep buying after the price moves, and elasticity measures exactly that. Firms that use it well premiumize the products with low measured sensitivity and a real structural difference, hold price on differentiated products that customers treat as interchangeable, and stop pretending their commodity items are special.

Few public industrial manufacturers disclose SKU-level pricing decisions, making Analog Devices one of the few observable examples. Its first 2026 increase, effective February 1, averaged about 15%. The second, effective September 13, had no single percentage figure: TrendForce reported modest increases in commercial-grade parts and up to 30% in some military-qualified models.

The logic follows the switching cost. A chip designed into a board that took two years to qualify for a defense program does not get redesigned over price; a commercial part with a second source on every distributor’s site does. The strategic case for treating price elasticity as a competitive advantage is in our companion piece. This article is the method.

What is the SKU Pricing Power Matrix for deciding where to raise, hold, or compete?

The SKU Pricing Power Matrix crosses two questions. The first comes from your order history and is the SKU price elasticity itself: when this SKU’s price last moved, did its volume hold (inelastic, below 1.0) or fall away (elastic, above 1.0)? The second comes from the product: could the customer buy the identical item elsewhere in ten minutes, or would switching cost them something? Each of the four boxes gets one move.

• Premiumize: differentiated and inelastic. Customers kept buying after the last increase, and switching would cost them requalification, redesign, or a service they value. Private-label and kitted items often land here, along with parts named on customer drawings or an approved vendor list. Premium pricing works because customers have already shown they stay: raise ahead of the general increase, sized with the Step 5 check. The price increase letter guide has wording you can adapt.
• Raise with the market: commodity and inelastic. Low-ticket consumables that ride along on bigger orders, such as thread sealant, fasteners, and small fittings. Nobody quotes them one at a time, but the identical item exists elsewhere. Take the full general increase, remove discounts nobody asked for, and stop there, because a buyer who checks one line on an order usually checks the rest.
• Hold: differentiated and elastic. Something is hiding the difference: the value is invisible to the buyer, reps are discounting against a national brand, or a cheaper item in your own line is taking the volume. Hold list price this round, fix the cause, and re-measure after the next price event. A SKU that stays elastic after the fix is a commodity.
• Compete or delist: commodity and elastic. The items customers use to judge your whole price level, such as the common sizes of a ball valve. Price them to the market, follow increases rather than lead them, and win on fill rate and delivery. The guide to pricing with imperfect competitive data shows how to read competitor prices when you only see some of them.

Then check the contribution at the market price. A 3/8-inch black iron nipple selling at $2.40, with variable cost at $2.61, loses $0.21 per unit, $3,780 per year on 18,000 units, and no market price will fix it. It needs a pack-size change, an order minimum, or an exit, and the contribution margin guide has the keep, fix, or fire rules.

Why two questions and not one? Measured elasticity is a short-run number for a single SKU. On a differentiated product, a low reading is believable; on a commodity, it usually means customers have not re-quoted yet.

Elasticity tells you how customers behave. Differentiation tells you whether they will continue to behave that way.

How do you estimate SKU price elasticity from your own order data?

The method takes five steps, and one analyst can run it in a spreadsheet. The 2025 Revenue Growth Analytics Maturity Report found that 61% of companies still manage discounting manually, and nearly all of them already have an ERP that includes every field the method requires.

Step 1. Pull 24 months of order lines

The extract needs one row per order line: order date, customer, SKU, product family, quantity, net unit price after on-invoice discounts, unit cost, and list price. Twenty-four months gives you at least one annual increase with six months of history on each side. Count each SKU’s order lines per year, as this count determines its confidence rating in Step 2.

Step 2. Measure SKU price elasticity around the last price change

Take the same six months before and after the increase. Compute the SKU’s volume change and net price change using the midpoint method, then subtract the product family’s volume change over the same months, so that seasonality and general demand swings are not counted as price response.

Formula. Rough SKU elasticity = (SKU volume change minus product family volume change) / SKU net price change, all as midpoint percentages over the same months.

Worked for the private-label fitting kit in the example further down:

1. Net price increased from $82.70 to $86.00: $86.00 / $ 84.35 = +3.91%.
2. Units moved from 4,700 to 4,640:- 60/4,670 = -1.28%.
3. The rest of the fitting-kit family grew 0.30% over the same months.
4. (-1.28% minus 0.30%) / 3.91% = -0.40.

Read every SKU price elasticity estimate as directional rather than causal. Transaction data cannot separate price from everything else that happened in those months: a lost customer, a competitor opening nearby, a recession, a stockout, a quality problem, a new salesperson, a customer consolidating its buying. Exclude windows with major market events where you can, then rate every estimate:

• High. 100 or more order lines a year and a clean window. Use the estimate directly.
• Medium. 50 to 99 lines, or one event you could not exclude. Use it with judgment and check it against the family.
• Low. 20 to 49 lines. Use the product family estimate instead.
• Very low. Under 20 lines, or no price change in 24 months. Do not estimate. Let differentiation and the market price decide.

Elasticity is not an engineering measurement. Knowing whether a SKU is roughly 0.4 or 2.5 is worth far more than debating 0.37 against 0.42.

The error also leans one way. The Bijmolt meta-analysis found that accounting for price-setting increases elasticities, so naive estimates from transaction data tend to understate sensitivity. Step 5 builds in a safety margin for that and for ordinary noise.

Step 3. Score differentiation with five questions

Answer yes or no for each SKU. Three or more yes answers make it differentiated.

1. Spec lock. Is it named on customer drawings, bills of material, or approved vendor lists?
2. Switching cost. Would changing suppliers mean requalification, testing, retooling, or retraining?
3. No identical item. Is it proprietary, private label, custom, or made-to-order?
4. Service wrap. Does it include availability, lead time, technical support, or kitting that the customer would otherwise lose?
5. Hard to compare. Would a buyer struggle to find the exact item and its price within 10 minutes, either online or in a single quote?

The first three questions test structural differentiation: approvals, qualification, a place on a bill of materials, a patent, or a proprietary design. The last two tests perceived differentiation: service, brand, reputation, and how hard the buyer finds it to compare. Some products have one kind, some have both, and some have neither. Structural differences last longer, because a competitor can copy a service or undercut a brand far faster than it can win approval.

So look at where the yes answers come from. The kit in the worked example has both kinds: it is named on three OEM customers’ bills of material, and it comes kitted. The gear oil gets three yes answers, mostly on perceived grounds, which is why it became elastic once reps stopped selling the difference. Ask sales and customer service to answer separately, and where they disagree, check the SKU’s quote history.

Step 4. Place each SKU and check its contribution margin

Put each SKU in the appropriate box in the matrix based on its price elasticity and differentiation score. Then compute the unit contribution: net price minus all variable costs, including cost of goods, freight out, pick and pack, and commission. A SKU with negative contribution goes to fix or delist whatever its box, because no price move rescues a product that loses money on every unit. The contribution margin guide shows how a SKU with a 38% gross margin can still lose $0.49 a unit.

Step 5. Size each move with break-even math, then watch it for 90 days

Before any increase, work out how much volume the SKU can lose before the increase stops paying. This is the break-even sales change calculation set out in Nagle, Müller, and Gruyaert’s The Strategy and Tactics of Pricing.

Formula. Break-even volume loss = price increase / (contribution margin + price increase). Expected volume loss = the SKU’s measured elasticity, as an absolute number, x the price increase.

Then apply the rule we use in every pricing round: take the increase only if the expected loss is no more than half the break-even loss. The half is the buffer for everything Step 2 warned about. Worked for the fitting kit at +9% and a 34.0% contribution margin:

1. Break-even volume loss: 9 / (34 + 9) = 20.9%.
2. Expected volume loss: 0.4 x 9% = 3.6%.
3. Half of break-even: 10.5%. The expected 3.6% is well under it, so the increase goes ahead.

Then watch the move for 90 days: the SKU’s volume against its family trend, its quote win rate, the customers who bought it and stopped, and discount requests on it. If volume falls past the half-break-even line, stop and review before the next round. If margin moves and you need to know whether price or mix moved it, a price-volume-mix analysis separates the two.

How much volume can an SKU lose before a price increase stops paying off?

More than most sales teams think, and less than most finance teams hope. Break-even volume loss depends only on the size of the increase and the contribution margin.

For a 4% increase, volume can fall this far before the increase stops paying:

• 15% contribution margin. Break-even at a 21.1% volume loss.
• 20% contribution margin. Break-even at 16.7%.
• 25% contribution margin. Break-even at 13.8%.
• 30% contribution margin. Break-even at 11.8%.
• 35% contribution margin. Break-even at 10.3%.
• 40% contribution margin. Break-even at 9.1%.
• 45% contribution margin. Break-even at 8.2%.

The higher the margin, the less volume a price increase can afford to lose.

That runs against intuition. Most pricing teams see a high-margin product as the safer place to increase, but each unit it loses yields less contribution, so its cushion is thinner. High-margin SKUs are still candidates. They need a low measured elasticity and a healthy margin to justify the move.

Elastic is a revenue label, not a profit verdict. A SKU at -1.5 loses about 6% of its volume on a 4% increase, which trims revenue by roughly 2%, yet at a 25% contribution margin, its contribution still rises by about 9%. The discount side is harsher than it looks: a 5% discount at a 30% contribution margin needs 20% more volume just to stand still, and at 22% it needs 29.4% more.

Formula. Break-even volume gain for a discount = discount / (contribution margin minus discount). 5 / (30 minus 5) = 20.0%.

That is why the matrix treats 1.0 as a cautious sorting line rather than a hard rule. With the half-break-even rule applied, the elasticity at which a 4% or 5% increase stops clearing the check sits between 1.1 and 1.7 for contribution margins from 25% to 40%, so any SKU sorted below 1.0 clears it at every margin up to about 45%. SKUs above 1.0 go to Hold or Compete until the reason for their sensitivity is understood.

Worked example: four SKUs, one pricing round

Only one of the four SKUs below gets an increase above the market rate, and one gets the market’s 4% increase. The other two get no increase at all, despite company-wide cost inflation.

The company is a composite of mid-market industrial distributors we have worked with: about $45M in revenue in fluid power, fittings, and maintenance supplies; a small private-label and kitting line; 7,200 active SKUs; 1,100 customers; and no pricing analyst. Supplier costs had moved, and the default plan was a flat 4% increase in January. The pressure is real: the BLS producer price index for final demand rose 5.4% in the twelve months to August 2026.

Each of the four has its own SKU price elasticity, confidence rating, and differentiation score:

• A. Private-label hydraulic fitting kit, $86.00. Kitted in-house and named on three OEM customers’ maintenance bills of material. Variable cost is $56.76, so the contribution is $29.24 per unit (34.0%) on 9,280 units per year. Elasticity -0.4, High confidence. Differentiation 4 of 5. Box: Premiumize. Move: +9%, the general 4% plus 5 points, which clears the Step 5 check.
• B. PTFE thread sealant tape, 10-roll pack, $18.40. Rides along on fittings orders and is rarely quoted on its own. Variable cost: $13.25; contribution: 28.0%; 36,500 units. Elasticity -0.6, High. Differentiation 1 of 5. Box: Raise with the market. Move: +4%. Break-even loss 12.5%, expected loss 2.4%.
• C. House-brand synthetic gear oil, 5-gallon pail, $142.00. Its own formulation, with an oil-analysis program behind it, yet volume fell sharply after the last increase because reps discounted it against a national brand. Variable cost: $92.30; contribution: 35.0%; 3,150 units. Elasticity -1.9, Medium. Differentiation 3 of 5. Box: Hold. A 4% increase fails the check: expected loss 7.6% against a half-break-even line of 5.1%.
• D. Brass ball valve, 1/2-inch standard port, $11.80. The item every competitor quotes. Variable cost: $9.20; contribution: 22.0%; 64,000 units. Elasticity -3.2, High. Differentiation 0 of 5. Box: Compete. A 4% increase fails the check: expected loss of 12.8% (8,192 valves a year) against a half-break-even line of 7.7%.

The money, calculated as units x (1 minus elasticity x increase) x (new price minus unit cost), with unit costs held where they are:

• Flat 4% on all four, +$58,455. Kit +$27,071, tape +$21,708, gear oil +$4,634, valve +$5,042.
• SKU plan, +$81,181. Kit at +9% adds $59,473, tape at +4% adds $21,708, and the gear oil and valve stay where they are.
• The difference is $22,726. 38.9% more contribution from the same pricing round, with two of the four prices changed.
• If every elasticity is off by a factor of two. The flat 4% falls to +$10,023, because the gear oil turns to -$8,624 and the valve to -$20,124. The SKU plan still earns +$63,670.

The SKU plan earned more under the measured elasticities and lost far less when those elasticities were wrong.

The flat plan’s gains on the gear oil and the valve were positive but small, and they rested on estimates that B2B data cannot make precise. The SKU plan, built on each SKU’s price elasticity rather than a single company’s number, derives its extra revenue from the one product that customers can easily replace. It also leaves out the basket effect: a customer who re-quotes the valve often re-quotes the rest of the order.

Once the moves are set, put them where sellers will see them. SKU-level adjustments belong in the price matrix your quoting system uses, not in a spreadsheet on someone’s desktop. The matrix pricing guide shows how to add them without multiplying rules.

When is SKU price elasticity the wrong tool to use?

SKU price elasticity needs a normal buying pattern and at least one real price change. Skip the estimate, and set the move from differentiation and the market price, for:

• Brand-new products. There is no price history to read.
• Contract-priced SKUs. Volume follows the contract terms and renewal dates, regardless of the list price.
• Very thin history. Around 20 order lines a year or fewer, the Very low rating from Step 2.
• Large one-off projects. One order can swing a whole year of volume.
• Temporary shortages. When supply is short, customers buy what they can get at almost any price, so demand looks less sensitive than it is.
• Emergency purchases. A breakdown buy is driven by downtime, not price.

Measure these SKUs once they settle into ordinary buying.

What goes wrong when companies premiumize by gut feel?

The same five mistakes come up in almost every first conversation we have about SKU price elasticity:

1. Treating the whole catalog as price-sensitive when one catalog can hold -0.4 and -3.2.
2. Reading “elastic” as “do not raise”. Profit depends on both margin and elasticity.
3. Calling the flat increase the safe option. In the example, it earned 28% less than the SKU plan and lost almost three times as much when the estimates were off.
4. Trusting the catalog’s idea of differentiation. A spec sheet with a -1.9 reading is a product that customers do not yet see as different.
5. Measuring once. Competitors, substitutes, and contract cycles move elasticity, so re-measure the top revenue SKUs every quarter and the long tail once a year.

Most of these trace back to cost-plus habits, where the price follows the cost, and the customer’s alternatives never enter the calculation. The cost-plus pricing guide covers where that habit comes from and how to move off it.

Frequently asked questions about SKU price elasticity.

What is SKU price elasticity?

SKU price elasticity is the percentage change in one product’s units divided by the percentage change in its own net price, measured from your order history. Below 1.0 in absolute terms is inelastic, and above 1.0 is elastic. Read it next to the product’s differentiation to choose a move.

How do firms use elasticity to their advantage when differentiating products?

They treat customer behavior after a price change as the real test of differentiation, then give each SKU one move: premiumize, raise with the market, hold, or compete. The SKU Pricing Power Matrix above shows which move goes where.

How do you know which products can take a price increase?

Run the break-even check. Break-even volume loss equals the increase divided by the contribution margin plus the increase. Multiply the SKU’s measured elasticity by the increase to get the expected loss. If the expected loss is half the break-even loss or less, the increase pays with room for error in the estimate.

Should you ever raise prices on an elastic product?

Sometimes. At a 25% contribution margin, a 4% increase keeps paying until volume falls 13.8%, so a SKU at -1.5 can still earn more after a modest increase. For commodity items, customers benchmark, the risk to the whole order is higher than the single-SKU math suggests, so follow the market there.

Do you need pricing software to estimate SKU-level elasticity?

Not specialized pricing software. Twenty-four months of order lines and a spreadsheet provide a usable estimate for every SKU, with about 100 order lines per year. Dedicated software earns its place once the method runs every quarter across thousands of SKUs.

The principle underneath all of it

Every increase starts with a cost number. Your customers have already answered the harder question in your order history: which products they kept buying when prices changed, and which ones they started shopping around for. That record is product differentiation, measured, and a flat increase ignores it.

Revify’s analysis of more than 2,000 public companies found that a 1% improvement in net price lifts operating profit by a median of 6.4%. SKU price elasticity is how you find that 1% in the products that can carry it, instead of spreading it thin across the ones that cannot. Pull the extract and sort your top 200 SKUs before the next increase goes out.

Start Your Profit Diagnostic. We will classify 50 of your highest-revenue SKUs into the four boxes of the SKU Pricing Power Matrix and estimate how much contribution a SKU-specific pricing round could generate. There is nothing to download. Schedule a quick call if you want to discuss the specifics. Register for the newsletter to receive this in your inbox every week; the signup is at the bottom of the page.

About the author. Enrico Sieni has spent two decades in pricing and revenue growth management and has built three pricing teams from scratch. That experience is why he believes most mid-market manufacturers and distributors do not need one: they need the decisions a pricing team would make, installed as rules, reports, and a monthly cadence. Revify is where he does the practical side of pricing for companies that will never hire a pricing department. His work is about realization in practice rather than in theory.