Skip to content

Pricing: The Basics

Innovation & New Business Planning - TUHH Institute of Innovation Marketing & Institute of Entrepreneurship, Hamburg · part of my Technology Management MBA · study notes for revision.


After several sessions on communication, the module turns to the second half of the market-launch problem. Communication decides whether the customer understands the offer. Price decides whether understanding turns into money. The session objectives put it plainly: the aim is to make better pricing and sales decisions when launching a new product or service, and to see how market-facing decisions feed straight through into firm performance.

The opening slide of the pricing block makes a claim that sounds obvious and is not: prices have multiple direct and indirect effects, and that is exactly why pricing matters so much. Price is the only marketing instrument that shows up on both sides of the profit equation at once. It sets revenue per unit directly, it moves the volume you sell, and through volume it moves your unit cost as well. Nothing else in the marketing mix does all three.

This chapter follows the deck’s first block, Basics of pricing. It builds the profit chain from price down to profit, shows why price is the strongest of all profit levers, sets out the three anchors that any price has to be argued from, draws the corridor between the lowest price you can survive and the highest price the market allows, and then gets technical with price-response functions and price elasticity. It closes with the two behavioural points the deck raises and with the problem of pricing something that has never been sold before. Dynamic pricing and value-based pricing are the next two blocks, and they get their own chapters.

The first content slide is a small causal chain, and the whole block hangs off it. Setting a price is not one decision with one consequence; it starts a sequence.

Price pthe one number you actually set
↓
Sales volume q(p)how many units the market takes at that price
↓
Unit cost c(q)what one unit costs you once you are making that many
↓
Revenue, cost and profitall three follow from the two steps above
The direct effect of price is on revenue per unit. The indirect effects run through volume, and through volume into unit cost. This is why a pricing decision is never only a pricing decision.
RevenueR = p · q(p)
CostC = q(p) · c(q)
ProfitP = R - C

Read the notation carefully, because the brackets carry the argument. Volume is written q(p), a function of price, so raising the price changes how much you sell. Unit cost is written c(q), a function of volume, so selling more changes what a unit costs. Cost is therefore a function of price too, at one remove. If you change the price and hold everything else fixed in your head, you have already made a modelling error.

The deck attacks two comfortable beliefs it calls pricing myths, both taken from an article on the myths that kill profits.

Myth 1: small price changes have little impact. The truth is the opposite: small price changes have a significant effect on profitability. The example is Volkswagen. In 2012 it ran an operating profit margin of 3.5 percent of sales. Raise price by 1 percent with everything else held constant, and profitability rises by a startling 28.5 percent. The arithmetic is simple once you see it: the extra 1 percent of sales is pure profit, and 1 divided by 3.5 percent is roughly 28.5. The thinner your margin, the more violent the leverage. The slide’s conclusion is a slogan worth remembering: fight for pennies. Good pricing is not one heroic repricing of one flagship product; it is getting a great many small details right across a great many small transactions.

Myth 2: costs are the basis for pricing. The truth the deck insists on is that pricing has to be based on customer value. The illustration is Nike, which describes its shift over recent years as putting the consumer at the centre of price setting and thinking in terms of the value equation it is trying to create with that consumer. Understand and create customer value first, then let that value be the main basis for the price.

To make the first myth quantitative, the deck reproduces the classic result from a McKinsey study of 1,200 companies worldwide. Each lever is moved by exactly 1 percent and the effect on profitability is measured.

Lever moved by 1 percentEffect on profitability
Increase in price11.0 percent
Decrease in variable costs7.2 percent
Increase in sales volume3.7 percent
Decrease in fixed costs2.7 percent

The ordering is the lesson: price beats variable cost, variable cost beats volume, and volume beats fixed cost. Price is roughly three times as powerful as the equivalent push on volume. The reason is structural. One percent more price adds revenue without adding a single unit, so it drops through to profit untouched. One percent more volume adds revenue but drags its own variable cost along, so only the contribution margin survives the trip. Cutting variable cost sits in between, because it improves every unit you already sell.

Any price has to be argued from three anchors. The deck calls them the three C’s: Company, Competition and Customer. None of the three can produce a price on its own, and the trick is knowing what each one is good for.

Company what we need to earn
Costs, market objectives, payback ambitions, capacity

Competition what the alternative costs
Next best alternatives, competitive dynamics, our own advantages

Customer what it is worth to them
Value perception, ability to pay, price sensitivity per segment

Three anchors, three different kinds of evidence. A defensible price is a sentence that uses all three.

Company. The slide lists cost of goods sold including administration, marketing, service and logistics costs; market strategy and market objectives such as market share and growth targets, competitive strategy, reputation and brand value; the desired payback period for the R&D investment; and the current level of capacity utilisation. That last item is easy to skip and it matters: a half-empty factory and a fully booked one justify very different prices for the same product.

Customer. The value perception of different customer segments, the ability to pay of different segments, and the price sensitivity of different segments. Notice that all three are written per segment, which is the seed of the whole price-differentiation chapter that follows. In B2B, where prices are often set for one named account, the deck adds the individual-customer attributes: the cost to serve that customer, their lifetime value, and their negotiating power.

Competition. The prices and quality of the next best competitive alternatives and the differentiation value of your own offer against them; the competitive dynamics and general level of competition, which depend on market growth and entry barriers; the number, size, resources and market position of your competitors; your own cost advantage; and any other competitive advantage you hold, for example exclusive access to complementary assets.

AnchorWhat it can tell youWhat it cannot tell you
Company / costThe price below which you lose money, and how fast the R&D has to be paid backAnything at all about what the market will pay. Cost is a constraint, not an argument
CompetitionA credible reference point that the customer already accepts, and the size of the gap you have to justifyWhether the whole category is underpriced, and whether your differentiation is worth anything to this particular buyer
Customer valueThe ceiling, and the reason the customer should accept a premiumHow to survive it. Value tells you the top of the range, never the bottom

4 · The price corridor: upper limit, lower limit, and what decides where you land

Section titled “4 · The price corridor: upper limit, lower limit, and what decides where you land”

Putting the three C’s together gives a picture the deck presents as a corridor. There is a highest price the market permits and a lowest price the company can survive, and the slide is explicit that any price inside those limits is profitable for the company. Pricing is therefore not the search for one correct number; it is the choice of a position inside a range.

Upper price limitcustomers willingness and ability to pay · competitors prices and quality · regulation
↓
Price rangeevery price in here is profitable; corporate objectives decide where you sit
↓
Lower price limittotal costs
The corridor. Cost fixes the floor, the market and the regulator fix the ceiling, and strategy chooses the point in between.
Where it actsThe factors the deck names
Upper limitCustomers’ willingness and ability to pay; competitors’ prices and their quality; regulations
Inside the rangeCorporate objectives: a cost-leader versus a quality-leader strategy; sales growth and market share objectives; amortisation objectives for the money already invested; investors’ preferences
Lower limitTotal costs

The middle row is the interesting one. Two firms with identical costs facing identical competitors will still land on different prices, because one is buying market share and the other is buying margin, or because one has investors who want cash now and the other has investors who want scale first.

5 · Cost-based pricing: a floor, not a basis

Section titled “5 · Cost-based pricing: a floor, not a basis”

Cost occupies exactly one position in the deck’s framework: it is the lower price limit. Everything else the deck says about cost is a warning not to promote it beyond that role, which is the entire content of Myth 2.

Full unit costc = variable cost per unit + (fixed costs / planned volume)
Cost-plus price, mark-up on costp = c · (1 + m)
Cost-plus price, target margin on the pricep = c / (1 - s)

Here m is the mark-up expressed as a percentage of cost and s is the target profit share of the selling price. The two are constantly confused and they are not the same number: a 25 percent mark-up on cost is only a 20 percent margin on price. Get this wrong in a business plan and every downstream figure is wrong with it.

Why the deck refuses to treat this as a pricing method:

  • It is circular. The formula needs a planned volume to spread the fixed costs over, but volume is q(p), which depends on the price you have not set yet. You have assumed the answer in order to compute it.
  • It knows nothing about the customer. Two products with identical cost sheets can be worth wildly different amounts to a buyer. Cost-plus charges them the same.
  • It leaves the most money on the table exactly where the value is highest. The better your innovation, the bigger the gap between cost and value, and the more a cost-plus price gives away.
  • It gets the reflex backwards. Under cost-plus, a rise in your own costs becomes a reason to raise the price, at the very moment the market may be least willing to accept one.
  • The company slide’s own items break it. Capacity utilisation, payback ambitions and market share objectives all pull the price away from cost, and all of them sit inside the “Company” C alongside cost.

The honest use of cost is therefore defensive. Compute it so you know when to walk away from a deal, and so you can tell a loss-making price from a strategic one. Then set the actual price from the other two C’s.

6 · Competition-based pricing: reference value, differentiation value and price autonomy

Section titled “6 · Competition-based pricing: reference value, differentiation value and price autonomy”

If cost is the floor, the competitor’s price is the reference point in the customer’s head. The deck formalises this with a single stacked bar and one hard rule.

Total economic customer valueTECV = reference value + positive differentiation value
Reference valuethe price of the next best competitive alternative (NBCA)

The rule: a company has price autonomy only if it offers a positive differentiation value against the next best competitive alternative. That is worth reading twice. Freedom to set your own price is not something you own because you are a separate company; it is something you earn by being measurably better than the alternative the customer would otherwise buy. With zero differentiation value your price is dictated by the competitor’s price, and the only question left is how far below it you have to go.

This is also where competition-based pricing genuinely makes sense: where products are close substitutes, where the customer can compare easily, where you have no defensible differentiation, and in commodity-like markets where a market price already exists and simply has to be met.

A slide worth remembering, because it undercuts the whole idea that the seller picks a number. In B2B, the end price is not set by the vendor alone from its costs; it comes out of market mechanisms or interactions with customers and competitors. Three mechanisms are named.

MechanismHow it worksWhere it applies
Requests for proposals or tendersThe lowest bid that meets the specification wins. If price is the only criterion at all, it becomes a reverse auctionPublic procurement and any well-specified purchase
Spot marketsMostly electronic marketplaces matching supply and demand through price mechanisms such as auctionsEspecially commodities
NegotiationsBilateral bargaining over the final numberPractically all B2B goods except commodities, and particularly customised, complex, innovative and high-price goods

The last row is the one that concerns an innovator. A genuinely new, complex, high-priced offer is almost always negotiated, which means your list price is an opening position and your differentiation value is the argument you defend it with.

7 · The price-response function and price elasticity

Section titled “7 · The price-response function and price elasticity”

Everything so far has been qualitative. To model q(p) properly you need a functional form, and the deck shows that the price-response function can be modelled in several different ways.

Linearq_i = a - b · p_i + c · p_j
Multiplicativeq_i = a · p_i to the power b
Attractionshare of i = attraction of i / sum of attractions of all j
Gutenbergq_i = a - b · p_i + c1 · sinh(c2 · (p_i - p_j))

The notation on the slide: q_i is the quantity of good i, p_i its price, p_j the average price of the competitors j, where j runs from 1 to J, m_i the relative attraction of good i, and a, b and c are parameters to be estimated.

  • The linear form is the workhorse. Demand falls by a constant amount b for every unit of your own price and rises by c for every unit of the competitors’ average price. Easy to estimate, but it implies a constant absolute response, which is unrealistic at the extremes.
  • The multiplicative form puts price in the exponent. Its great convenience, and the reason the slide labels the two parameters demand and price elasticity, is that the exponent is the price elasticity and it stays constant across the whole curve.
  • Attraction models compute a relative attractiveness for each offer and turn it into a market share by dividing that offer’s attraction by the sum of everybody’s. They are the natural choice when what you care about is share rather than absolute units.
  • The Gutenberg form adds a hyperbolic-sine term in the gap between your price and the market average. The effect is that demand reacts only mildly while you stay near the average price and then reacts sharply once you move far away from it, which captures the everyday intuition that there is some room to manoeuvre around the going rate before customers notice.

Elasticity is the single number that summarises the steepness of whichever curve you chose. The deck defines it as the measure of how responsive demand for a good is to changes in the price of that good, and puts it in words as follows: the price elasticity indicates the percentage change of demand that results from a 1 percent increase in price.

Price elasticityε = (dq / q) / (dp / p) = (dq / dp) · (p / q)
Reading the symbolsdq = absolute change in demand, q = original demand, dp = absolute change in price, p = original price

It is a ratio of two relative changes: the relative change of demand on top, the relative change of price underneath. Because demand normally moves against price, ε is normally negative, and in practice people quote and compare its magnitude.

Magnitude of εNameWhat a price increase does to revenue
Magnitude above 1Elastic demandQuantity falls proportionally more than price rises, so revenue falls
Magnitude equal to 1Unit elasticThe two effects cancel and revenue is unchanged
Magnitude below 1Inelastic demandQuantity barely moves, so revenue rises

That table follows directly from the definition rather than from a separate slide, and it is the practical payoff of the whole concept. One refinement matters for profit as opposed to revenue: because every unit you no longer sell also saves its variable cost, a price rise can improve profit even when it slightly reduces revenue. The break-even calculation for that sits in the worked example below.

How the deck estimates it. No list of formal estimation techniques appears in this block. What the session does instead is run an interactive auction experiment: each participant writes their name and states the price they would bid for one can of MyMuesli with the basic mix plus four ingredients of their choice. Collecting individual bids and stacking them from highest to lowest is a direct, hands-on way to build a demand curve out of stated willingness to pay, and it makes the point that elasticity is something you measure from customers, not something you assume.

8 · When demand is less elastic, and why price signals quality

Section titled “8 · When demand is less elastic, and why price signals quality”

Low elasticity is valuable, because it is exactly the condition under which the profit leverage of section 2 can be realised without losing the volume. The deck lists six situations in which elasticity tends to be lower, and pairs each with product categories where it shows up.

ConditionWhy demand goes quietCategories the deck names
Monopolistic positionThe product holds a unique position with no close substitutes availableUtility services such as water and gas; patented pharmaceuticals
Premium quality perceptionCustomers associate the product with high quality, prestige and exclusivityLuxury watches; high-end electronics, for example Apple
Switching barriersHigh loyalty or significant changeover costs make it hard to move to a competitorEnterprise software such as ERP; cloud infrastructure
Limited quality-price knowledgeCustomers do not know the alternatives, or cannot compare quality across productsComplex insurance products; specialised consulting
Low price-to-income ratioThe price is insignificant next to the customer’s income or budgetSalt, matches; glue or rivets, when they are a negligible share of total product cost
Low total cost of ownership shareThe purchase price is small compared with the lifecycle costs of the productIndustrial HVAC systems; medical imaging units

Reading down the list, these are not six unrelated accidents. Each one removes a different ingredient the customer would need in order to react to a price: an alternative to switch to, the ability to compare, a reason to care about the amount, or the freedom to leave. Take away any of those and price sensitivity collapses.

The one clearly behavioural slide in this block. Price is not only something the customer pays; it is something the customer reads. The deck gives four reasons why price gets used as a stand-in for quality.

Past experiences
  • Most buyers have learned over a lifetime that higher prices really do tend to go with higher quality
  • So the inference is not irrational, it is an accumulated rule of thumb
Simplicity
  • Price is one-dimensional and it is known before the purchase decision
  • It allows an immediate, direct comparison between products, which nothing else on offer does
Price as a quality symbol
  • The higher the price, the higher the value of the product as a status object or a symbol of prestige
  • This is the snob or Veblen effect, where demand can rise precisely because the price is high
Credibility
  • Prices are perceived as more credible and better justified than advertising claims
  • Anyone can say their product is excellent; charging like it is costs the seller something

The managerial consequence is uncomfortable but real: pricing low can destroy the very perception you were hoping to buy volume with. If the customer cannot judge quality directly, as with the specialised consulting and complex insurance rows above, a low price is read as a confession.

Here the framework runs into its hardest case. Cost gives you a floor. Customer value is what you want. But competition gives you a reference value only if there is something to reference, and a real innovation may have no obvious competitor at all. The deck’s answer is that the next best competitive alternative always exists; it is just that you have to go looking for it, and it may not be in your own category.

The worked illustration is the Segway. The question on the slide is what the next best competitive alternative to a Segway actually is, and therefore what the innovation should sell for. The answer depends entirely on which job the customer is hiring it for, and the same machine sits in three completely different price worlds.

Segment the Segway could be sold intoThe next best alternativePrice range of that alternative
Low segmentA medical device or walking aid100 to 6,000 dollars
Medium segmentA means of transportation500 to 10,000 dollars
Premium segmentLifestyle and outdoor sports equipment13,000 to 50,000 dollars

The Segway itself costs between 5,000 and 8,000 dollars, and it is heavily rented, in the same way the premium products such as the Jetlev are. That last observation is the tell. A product that people rent for an experience is behaving like the premium segment, not like the walking aid, so the reference value to argue from is the top range rather than the bottom one. Choosing your segment is therefore not a marketing decision that happens after pricing; it is the pricing decision, because it selects which reference value the customer will measure you against.

Who else solves this jobWhat do they chargeWhat do we do betterIs that worth money to this segmentReference value plus differentiation valueCheck it clears the cost floor

Where this goes next: skimming and penetration

Section titled “Where this goes next: skimming and penetration”

Setting the first price is only half of new-product pricing, because prices can and often must change over time. The next block of the session handles that under dynamic pricing, and its two headline strategies are worth naming here so the connection is visible.

Skimming start high, come down
  • Enter at the highest price the market will bear
  • Fewer sales, higher margins
  • Reduce the price gradually to win more share and to answer growing competition
Penetration start low, build a base
  • Price below comparable products from the start
  • The aim is market share and fast growth
  • Once a large installed base exists, the price may be raised
The two dynamic strategies, named here only as a pointer. The full evaluation of when each applies belongs to the next chapter.

The link back to adoption and diffusion. The deck’s condition for skimming is innovations offered to early adopters with a high willingness to pay, and this is exactly the Rogers curve from the first chapter of this module. The first 16 percent of the market, the innovators and early adopters, buy because the thing is new and are relatively insensitive to price. The early and late majority, the other 68 percent, are pragmatists who judge on total cost of ownership. So the diffusion curve is also a willingness-to-pay curve running downhill over time, and skimming is simply the pricing policy that walks down it in step with the adopter categories. Penetration is the opposite bet, appropriate where scale effects, learning curves or network effects mean that owning the majority early is worth more than the margin you gave up to get there.

A compact indoor air-quality monitor sold to commercial building operators. The numbers are invented for practice; the method is the deck’s.

Step 1: find the cost floor. Variable cost is 40 euros per unit, annual fixed costs are 600,000 euros, and the plan is to sell 30,000 units a year.

Fixed cost per unit600,000 / 30,000 = 20 euros
Full unit costc = 40 + 20 = 60 euros

Step 2: apply a target mark-up of 25 percent on cost.

Mark-up on costp = 60 · (1 + 0.25) = 75 euros
The same 25 percent as a margin on price would givep = 60 / (1 - 0.25) = 80 euros

Take 75 euros as the cost-plus price and build the base case: revenue is 75 × 30,000 = 2,250,000 euros, variable cost is 40 × 30,000 = 1,200,000 euros, contribution is 35 × 30,000 = 1,050,000 euros, and after 600,000 euros of fixed cost the profit is 450,000 euros, an operating margin of 20 percent.

Step 3: move each lever by 5 percent and compare. As on the deck’s leverage slide, assume the price increase does not cost any volume.

ScenarioRevenueVariable costFixed costProfitChange in profit
Base: 75 euros, 30,000 units2,250,0001,200,000600,000450,000-
Price up 5 percent to 78.752,362,5001,200,000600,000562,500+25.0 percent
Variable cost down 5 percent to 382,250,0001,140,000600,000510,000+13.3 percent
Volume up 5 percent to 31,500 units2,362,5001,260,000600,000502,500+11.7 percent
Fixed cost down 5 percent to 570,0002,250,0001,200,000570,000480,000+6.7 percent

The ranking reproduces the McKinsey ordering exactly: price, then variable cost, then volume, then fixed cost. Price and volume both add 112,500 euros of revenue, but the volume route hands 60,000 euros of it straight back as variable cost.

Step 4: what happens when volume does react. Suppose the price really is raised to 78.75 euros and sales fall from 30,000 to 28,500 units.

Elasticityε = (-1,500 / 30,000) / (3.75 / 75) = -0.05 / 0.05 = -1.0

Reading magnitude exactly 1, so demand is unit elastic and revenue should be roughly flat

Check it: 78.75 × 28,500 = 2,244,375 euros, against 2,250,000 before, so revenue is essentially unchanged. Profit, however, is not. Unit contribution rises from 35 to 38.75 euros, contribution becomes 38.75 × 28,500 = 1,104,375 euros, and profit becomes 504,375 euros, up 54,375 euros or 12.1 percent. The price rise paid off even though revenue did not grow, because the 1,500 units you did not make also did not cost you 40 euros each.

Step 5: the break-even volume change. The general question is how much volume you can afford to lose after a price rise, or must gain after a price cut, before the change stops being worth it.

Break-even volumeq_break-even = old contribution / new unit contribution
As a percentage changebreak-even change in q = -Δp / (new price - variable cost)

For the 5 percent price rise: 1,050,000 / 38.75 = 27,097 units, which is 2,903 fewer than 30,000, a fall of 9.7 percent. The direct formula agrees: -3.75 / 38.75 = -9.7 percent. So volume could have dropped by almost 10 percent before the rise turned bad, and it only dropped by 5 percent. In elasticity terms the break-even elasticity is -9.7 divided by 5, which is about -1.94; any magnitude below 1.94 makes the price rise profitable, and the actual 1.0 is comfortably inside that.

For a 5 percent price cut to 71.25 euros the arithmetic reverses and turns brutal: unit contribution drops to 31.25 euros, so break-even volume is 1,050,000 / 31.25 = 33,600 units, a required gain of 12 percent. A 5 percent discount has to buy a 12 percent sales increase just to leave you exactly where you started. That asymmetry between 9.7 percent of downside tolerated and 12 percent of upside demanded is the arithmetic behind the whole leverage argument.

  1. Compute your floor before anything else. Variable cost per unit plus fixed costs divided by a realistic planned volume. You are not doing this to set the price, you are doing it so you can recognise a loss-making deal when a customer offers you one.

  2. Name the next best competitive alternative, from the customer’s point of view rather than yours. Ask what this customer would genuinely do if you did not exist, including doing nothing or doing it manually. Whatever that costs is your reference value.

  3. If the alternative is not obvious, run the Segway exercise. List two or three different segments that could hire your product for different jobs, write down the alternative and its price range in each, and notice how far apart the resulting anchors are. Then choose the segment, knowing you have just chosen the price.

  4. Write one sentence of differentiation value against that alternative, and ask whether it is positive and whether the customer would pay for it. Positive differentiation value is what buys you price autonomy; without it, the competitor sets your price.

  5. Build the corridor. Floor from step 1, ceiling from reference value plus differentiation value, and then place yourself inside it according to what you actually want: share, margin, fast payback, or the impression of quality.

  6. Ask which of the six low-elasticity conditions you can honestly claim. No substitutes, premium perception, switching barriers, hard-to-compare quality, negligible share of the customer’s budget, or a small slice of lifecycle cost. Each one you can claim is a reason to sit higher in the corridor.

  7. Check whether your price is being read as a quality signal. If the customer cannot verify quality before buying, a low price is evidence against you, not a favour to them.

  8. Run the break-even volume test on the price you have chosen, in both directions. Work out how much volume a 5 percent rise could cost you before it hurts, and how much a 5 percent discount would have to win back. Do this before any sales conversation, because that is where the discount will be requested.

  9. Decide your direction of travel over time, at least provisionally: enter high and come down as the adopter categories widen, or enter low to buy the installed base. That is the dynamic pricing question, and it is the next chapter.

TermWhat it means in plain words
Price-response function q(p)The relationship between the price you set and the quantity the market takes, modelled as linear, multiplicative, attraction or Gutenberg
Price elasticity of demandHow responsive demand is to a price change; the percentage change in quantity caused by a 1 percent change in price
Elastic demandElasticity magnitude above 1: customers react strongly, so raising the price reduces revenue
Inelastic demandElasticity magnitude below 1: customers barely react, so raising the price increases revenue
Profit leverageHow much profit moves for a given percentage move in a lever; price is the strongest lever, then variable cost, then volume, then fixed cost
The three C’sThe three anchors any price must be argued from: Company, Competition and Customer
Upper price limitThe ceiling, set by willingness and ability to pay, by competitors’ prices and quality, and by regulation
Lower price limitThe floor, set by total costs; every price above it is profitable for the company
Cost-plus pricingWorking out the full unit cost and adding a mark-up; useful for finding the floor, dangerous as a pricing method because it ignores value and is circular in volume
Mark-up versus marginA mark-up is a percentage of cost, a margin is a percentage of the selling price; 25 percent mark-up equals only 20 percent margin
Contribution marginPrice minus variable cost per unit; the amount each extra unit contributes to fixed costs and profit
Next best competitive alternative (NBCA)Whatever the customer would buy or do instead of buying from you
Reference valueThe price of that next best alternative, which is the number already sitting in the customer’s head
Differentiation valueThe extra economic value your offer delivers over the next best alternative; reference value plus differentiation value is the total economic customer value
Price autonomyThe freedom to set your own price, which you only have if your differentiation value against the alternative is positive
Price as a quality proxyThe customer reading price as evidence of quality, because of past experience, its simplicity, its status value (the snob or Veblen effect) and its credibility relative to advertising
  1. Write out the chain from price to profit with the three equations, and explain why unit cost is written as a function of quantity rather than as a constant.
  2. A firm earns an operating profit margin of 4 percent of sales. It raises price by 1 percent and volume does not move. By roughly how much does profit rise, and what does this tell you about thin-margin businesses?
  3. Rank the four profit levers from the McKinsey study with their numbers, and explain in one sentence why price beats volume.
  4. A product sells 10,000 units at 50 euros. The price rises to 55 euros and sales fall to 8,800 units. Compute the elasticity, say whether demand is elastic or inelastic, and state what happened to revenue. Then, given a variable cost of 30 euros per unit, say what happened to profit.
  5. State the rule about price autonomy, and explain what a company’s price is determined by when the rule is not satisfied.
  6. Give four of the six conditions under which price elasticity tends to be lower, with one product category for each, and then explain why deliberately pricing low can backfire in exactly those categories.

Next: Dynamic Pricing & Price Differentiation → - charging different prices to different people, on purpose.