Strategic Marketing Management

Chapter 9
Strategic Pricing and Revenue Management

Bachelors Program in Marketing Management
Strategic Marketing Management   •   Bachelor

Strategic Pricing and Revenue Management

Introduction

Pricing is the marketing decision that most directly converts customer value into organizational revenue. Product design, communication, distribution, and service create or communicate value; price determines how much of that value the organization captures. A price is therefore more than a number on a shelf or website. It is a strategic signal of quality, a mechanism for allocating scarce capacity, a component of customer experience, and a major determinant of profit.

Strategic pricing combines economic analysis with customer insight, competitive intelligence, cost knowledge, behavioral understanding, and ethical judgment. It asks five related questions:

  1. What value does the offering create for a target customer?
  2. What portion of that value can the firm reasonably capture?
  3. What costs and capacity constraints affect profitability?
  4. How will customers and competitors respond to alternative prices?
  5. How should prices vary across customers, products, time, channels, and conditions?

Revenue management extends pricing by managing demand for perishable or capacity-constrained resources. Airlines, hotels, ride-hailing platforms, event venues, restaurants, media services, and subscription businesses use revenue-management methods to sell the right product, to the right customer, at the right time, through the right channel, at an appropriate price.

Learning Objectives

By the end of this chapter, students should be able to:

  • distinguish value-, cost-, competition-, and demand-based pricing;
  • calculate contribution, break-even volume, margin, and price elasticity;
  • explain willingness to pay and customer value assessment;
  • evaluate price discrimination, dynamic pricing, subscriptions, and promotions;
  • apply revenue-management logic to capacity and demand decisions;
  • identify ethical, legal, and governance risks in pricing;
  • recommend a pricing strategy using quantitative and qualitative evidence.

1. The Strategic Role of Price

Price performs several functions simultaneously. Economically, it rations demand and communicates scarcity. Financially, it generates revenue and contributes to covering fixed costs and profit. Strategically, it positions a brand relative to alternatives. Psychologically, it influences perceived quality, fairness, risk, and purchase urgency.

The basic revenue identity is:

Revenue = Price × Quantity sold

Profit can be represented as:

Profit = (Price × Quantity sold) − Variable cost − Fixed cost

Here, price and variable cost are measured per unit when using the expanded form; quantity is the number of units sold; and fixed cost does not vary with short-run output. The equation assumes that relevant costs and prices are measured over the same period and that there are no omitted material revenues or costs.

A price decision should not be judged only by its effect on unit margin. A lower price may increase volume but reduce profit if demand is insufficiently responsive. Conversely, a higher price may reduce sales but increase total contribution if customers remain willing to pay.

Important terminology

  • List price: the publicly stated or standard price.
  • Net price: the amount retained after discounts, rebates, allowances, and applicable adjustments.
  • Contribution margin per unit: price minus variable cost per unit.
  • Price architecture: the structure of prices across products, versions, bundles, customer groups, and purchase occasions.
  • Price metric: the unit on which a customer is charged, such as per user, per transaction, per month, per gigabyte, or per outcome.
  • Price fence: a rule that separates customer segments or usage conditions, such as advance purchase or minimum stay.

2. Four Foundations of Pricing

2.1 Value-based pricing

Value-based pricing begins with the customer’s perceived economic and experiential benefits rather than with the seller’s costs. The relevant question is: “What is this offering worth to a particular customer compared with the next-best alternative?”

For a business customer, value may include labor savings, lower error rates, reduced downtime, increased sales, or compliance benefits. For a consumer, it may include convenience, status, enjoyment, security, or time savings. Perceived value differs among segments, so a single price may undercharge some customers and exclude others.

A useful economic framing is customer economic value:

Customer economic value = Reference value + Differentiation value

Reference value is the value of the customer’s best realistic alternative. Differentiation value is the additional value created by the focal offering. This is not automatically the price: the firm must share enough value with the buyer to make purchase attractive while retaining sufficient value to support profitability.

Value-based pricing requires customer research, conjoint analysis, interviews, usage data, experiments, and outcome measurement. A common error is to claim value without demonstrating it. Value communication must connect features to customer outcomes.

2.2 Cost-based pricing

Cost-based pricing starts with cost and adds a markup. A simple markup formula is:

Price = Unit cost × (1 + Markup rate)

If unit cost is $40 and the markup rate is 25%, price is $50. The markup rate is calculated on cost. This differs from a margin rate, which is calculated on selling price:

Margin rate = (Price − Unit cost) ÷ Price

A $50 price and $40 cost produce a 20% margin rate, not a 25% margin rate. Confusing markup and margin is a frequent managerial error.

Cost-based pricing is useful when costs are stable, demand is uncertain, contracts require transparent cost recovery, or the offering is highly standardized. Its weaknesses are equally important: it may ignore willingness to pay, encourage inefficient costs, and produce prices unrelated to customer value or competitive response.

2.3 Competition-based pricing

Competition-based pricing uses rival prices, positioning, availability, and expected reactions as reference points. A firm may price below competitors to gain trial, match them to reduce switching concerns, or price above them when superior value is credible.

Competitor price is not equivalent to competitor value. A lower-priced rival may have inferior service, reliability, warranty, or distribution. Benchmarking should therefore compare total customer cost, not just the advertised number. Managers should also consider whether their decision could trigger a damaging price war.

2.4 Demand-based pricing

Demand-based pricing recognizes that the quantity demanded varies with price and with other conditions such as income, season, weather, urgency, inventory, and competitor actions. It is especially important where capacity is limited or demand fluctuates.

Demand analysis should distinguish a movement along a demand curve, caused by changing the firm’s own price, from a shift in demand caused by other factors. Forecasts should be based on observed data where possible and tested through controlled price experiments.

3. Willingness to Pay and Price Elasticity

Willingness to pay (WTP) is the maximum amount a customer is prepared to exchange for an offering under specified conditions. WTP is not necessarily observed directly: customers may conceal it, be uncertain about it, or change it after learning more about benefits and alternatives.

WTP can be estimated using interviews, auctions, choice-based conjoint studies, historical transactions, experiments, and predictive models. Each method has limitations. Stated intentions may differ from actual behavior, while historical prices may reflect selection effects and unobserved customer differences.

Price elasticity of demand

Price elasticity measures the responsiveness of quantity demanded to a change in price:

Ed = (% change in quantity demanded) ÷ (% change in price)

Using the midpoint method for a change from P₁, Q₁ to P₂, Q₂:

Ed = [(Q₂ − Q₁) ÷ ((Q₁ + Q₂) ÷ 2)] ÷ [(P₂ − P₁) ÷ ((P₁ + P₂) ÷ 2)]

Elasticity is unit-free. Demand is generally called elastic when |E_d| > 1, unit elastic when |E_d| = 1, and inelastic when |E_d| < 1. The negative sign commonly reflects the inverse relationship between price and quantity; managers often discuss the absolute value.

For example, quantity falls from 1,000 to 900 when price rises from $10 to $11. The percentage quantity change using the midpoint method is −100 ÷ 950 ≈ −10.53%; the percentage price change is 1 ÷ 10.50 ≈ 9.52%. Thus elasticity is approximately −1.11, indicating elastic demand over this interval.

Elasticity is not constant across a demand curve. It may differ by segment, product version, channel, time, and competitive context. Related concepts include cross-price elasticity, which assesses the effect of another product’s price, and income elasticity, which assesses the effect of customer income.

4. Break-Even and Contribution Economics

Break-even analysis identifies the sales volume at which total contribution equals fixed cost. With a single product and constant unit economics:

Break-even quantity = Fixed cost ÷ (Price − Variable cost per unit)

The denominator is contribution margin per unit. The formula assumes a constant price, constant variable cost, a stable product mix, and that all units produced can be sold. It is a short-run planning tool, not a complete demand model.

Suppose fixed cost is $60,000, price is $50, and variable cost is $30. Contribution per unit is $20, so:

Break-even quantity = $60,000 ÷ $20 = 3,000 units

Break-even revenue is:

Break-even revenue = Fixed cost ÷ Contribution margin ratio

The contribution margin ratio is contribution per unit divided by price. In the example it is $20 ÷ $50 = 0.40, so break-even revenue is $60,000 ÷ 0.40 = $150,000.

For multiple products, the simple formula must be adapted because products have different margins. A weighted-average contribution margin can be used only when the expected sales mix is reasonably stable. If the mix changes, the break-even result changes.

Managers should also calculate margin of safety:

Margin of safety = Expected sales − Break-even sales

A large margin of safety indicates greater protection against an unfavorable demand forecast, although it does not eliminate risk.

5. Price Discrimination and Segmentation

Price discrimination occurs when substantially similar products are sold at different prices not explained solely by cost differences. In economic theory, effective discrimination requires some market power, identifiable differences in WTP, and limited resale or arbitrage.

Common forms include:

FormPricing logicExample
First-degreePrice approaches each buyer’s WTPIndividually negotiated enterprise contract
Second-degreePrice varies with quantity or version chosenBulk discount; basic, standard, premium tiers
Third-degreeDifferent identifiable segments pay different pricesStudent, senior, or business fares
IntertemporalPrice varies by purchase timeEarly-bird event pricing

Price fences make differences understandable and operational. Examples include advance-purchase restrictions, cancellation conditions, geographic availability, membership status, quantity thresholds, and time-of-use periods. A good fence is relevant to cost or demand, difficult to misuse, and communicated clearly.

Discrimination becomes ethically problematic when it exploits vulnerable customers, uses sensitive personal data without appropriate governance, produces arbitrary exclusion, or obscures materially different prices. Differential pricing is not automatically unfair, but fairness perceptions influence trust, retention, complaints, and regulation.

6. Revenue Management and Dynamic Pricing

Revenue management is the systematic allocation of limited, perishable capacity among customer segments and time periods. An unsold airline seat after departure or an empty hotel room after a night cannot usually be inventoried for later sale. The objective is not simply to maximize occupancy; it is to maximize expected contribution or revenue subject to operational and ethical constraints.

A simplified capacity decision compares a higher-paying future customer with a lower-paying current customer. If capacity is one unit and the probability of a future high-fare customer is p, accepting a current low-fare sale is attractive only when its value exceeds the expected value of preserving capacity, subject to costs and uncertainty. Real systems use forecasts, booking curves, cancellation probabilities, no-show rates, and optimization models.

Dynamic pricing changes prices in response to time, inventory, demand, customer context, or market conditions. It differs from arbitrary price changes because it should follow a defined logic and governance process. Examples include electricity time-of-use pricing, ride-hailing surge pricing, hotel rates, and online advertising auctions.

Effective revenue management requires:

  • demand forecasts at a sufficiently detailed segment level;
  • inventory or capacity visibility;
  • rules for price fences and availability;
  • monitoring of conversion, cancellations, complaints, and profit;
  • tests that distinguish price effects from seasonal or promotional effects;
  • safeguards against discriminatory or exploitative outcomes.

A danger is algorithmic overreaction. If a system raises price whenever demand increases, it may amplify short-term noise, damage trust, or produce unacceptable prices during emergencies. Human oversight and explicit price ceilings may be necessary.

7. Subscription and Recurring-Revenue Models

Subscription pricing converts a one-time transaction into recurring access or service. It can stabilize revenue, reduce customer acquisition payback uncertainty, and support continuous service. Customers may benefit from convenience and lower initial commitment, but they can also experience subscription fatigue and unwanted renewal.

Key decisions include billing frequency, free trials, tiers, usage limits, minimum terms, cancellation processes, overage charges, and price increases. A subscription metric should align with perceived value. Charging per user may be appropriate for collaboration software; charging by usage may be appropriate for data processing; charging by outcome may be appropriate where outcomes can be measured reliably.

Important metrics include:

Monthly recurring revenue = Active subscribers × Average monthly recurring revenue per subscriber

A simplified customer lifetime value estimate for a stable subscription is:

CLV ≈ (Monthly contribution per customer) ÷ Monthly churn rate − Acquisition cost

This approximation assumes constant contribution, a constant monthly churn probability, and no discounting. A more complete discounted model is preferable when cash flows, retention, or margins change over time. CLV should not justify aggressive acquisition if the underlying retention assumptions are unreliable.

Good practice includes prominent renewal terms, easy cancellation, reminders before renewal, accessible support, and clear explanation of price changes.

8. Promotions and Discount Governance

Promotions can stimulate trial, shift demand across time, reward loyal customers, clear inventory, or support channel partners. They can also train customers to wait for discounts, weaken reference prices, reduce brand equity, and create channel conflict.

The incremental contribution of a promotion should be evaluated rather than assuming that all promoted sales are additional. A useful comparison is:

Incremental profit = Profit with promotion − Estimated profit without promotion

The estimate must account for cannibalization, forward buying, redemption cost, operational expense, returns, and customers who would have purchased at the regular price. A discount is strategically sound only when the incremental benefits exceed its full economic cost.

Promotional design should specify target segment, objective, duration, eligible products, funding responsibility, measurement method, and exit criteria. Post-promotion analysis should compare a test group with a credible control group where feasible.

9. A Practical Pricing Process

A disciplined process integrates analysis and judgment:

  1. Define the objective. Objectives may include profit, penetration, cash flow, capacity utilization, market access, retention, or fairness.
  2. Specify the offer and price metric. Clarify what customers receive and what unit is being priced.
  3. Segment customers by needs, value, and response. Avoid segmenting solely by demographics when behavioral or economic differences matter more.
  4. Estimate value and WTP. Identify the reference alternative and quantify differentiation.
  5. Map costs and capacity. Separate fixed, variable, avoidable, and opportunity costs.
  6. Analyze competitors and substitutes. Compare total value and total customer cost.
  7. Model demand and scenarios. Use elasticity, forecasts, sensitivity analysis, and break-even calculations.
  8. Design the price architecture. Set tiers, bundles, fences, discounts, and channel rules.
  9. Test and implement. Use controlled experiments when legally and operationally appropriate.
  10. Monitor and govern. Track profit, conversion, retention, fairness indicators, complaints, and unintended effects.

A price waterfall is useful for identifying leakage from list price to net revenue: list price minus negotiated discounts, trade allowances, rebates, returns, and service concessions. The resulting net price should be connected to contribution, not merely reported as an accounting statistic.

10. Ethics, Law, and Governance

Pricing decisions affect access, dignity, and distribution of economic surplus. Ethical pricing requires more than legal compliance. Core principles include transparency, consistency, proportionality, privacy, accountability, and avoidance of exploitation.

Potential risks include deceptive reference prices, hidden mandatory fees, drip pricing, bait-and-switch offers, collusion, resale-price restrictions, discriminatory targeting, excessive pricing during emergencies, and dark patterns that make cancellation difficult. Competition law in many jurisdictions prohibits agreements among competitors to fix prices, while consumer-protection rules may require truthful advertising and disclosure of material terms. Exact obligations vary by jurisdiction; firms should obtain qualified legal advice.

Algorithmic pricing adds governance challenges. Data may contain historical bias, proxies for protected characteristics, or errors. A responsible system should document objectives and data sources, test disparate outcomes, restrict sensitive attributes, maintain audit logs, define approval thresholds, and provide human review for exceptional decisions. Managers should be able to explain the commercial logic of a price sufficiently for customers, regulators, and internal auditors.

Fairness is context-dependent. Charging more for a scarce service during normal peak demand may allocate capacity efficiently; imposing extreme prices on essential goods during a disaster may be exploitative even if demand is high. A pricing policy should therefore include emergency rules, maximum increases where appropriate, and escalation procedures.

11. Technology and Contemporary Developments

Modern pricing systems combine transaction data, inventory feeds, customer relationship systems, web analytics, and machine-learning forecasts. AI can improve demand prediction, identify segments, recommend tests, and detect anomalous discounts. However, prediction does not establish causation. A model may forecast that high-value customers pay more without proving that a price increase will be profitable or acceptable.

Important safeguards include randomized experiments, holdout groups, model monitoring, drift detection, privacy controls, and managerial review. Explainability is particularly important when prices differ by customer or when automated decisions affect essential services.

Contemporary developments include usage-based software pricing, connected-product monetization, retail media auctions, personalized bundles, social-commerce price transparency, and sustainability-linked pricing. These developments increase the importance of price metrics, data governance, and customer trust.

12. Illustrative Case: MetroStay Hotel Group

Background

MetroStay operates 180 rooms in a city with weekday business demand and highly seasonal weekend tourism. Its standard public rate is $140 per night. Variable cost per occupied room is $35, and annual fixed operating cost attributable to the property is $4.2 million. Occupancy is high on weekdays but weak on many winter weekends.

Problem

Management wants to increase annual profit without damaging its business-customer base. A simple across-the-board discount could increase occupancy but might reduce revenue from guests who already pay the standard rate.

Analysis

MetroStay identifies three segments: business travelers with high weekday WTP, leisure travelers with more flexible timing, and local residents seeking weekend packages. Historical data show that business demand is relatively inelastic during major work periods, while leisure demand is more price-sensitive and responds to advance-purchase offers. The hotel also faces perishable capacity: an empty room tonight cannot be sold tomorrow.

At the standard rate, contribution per occupied room is $140 − $35 = $105. A $100 advance-purchase weekend rate generates $65 contribution, but it may fill rooms that would otherwise remain empty. The decision should therefore compare the discounted room with expected displaced contribution, not with the list price alone.

Approach

MetroStay introduces a segmented architecture:

  • business rates with flexible cancellation on selected weekdays;
  • advance-purchase weekend rates with restricted cancellation;
  • a two-night package including breakfast during low-demand periods;
  • a capacity dashboard that limits low rates when forecast demand strengthens;
  • a price ceiling and manual review during local emergencies;
  • weekly monitoring of net rate, occupancy, RevPAR, complaints, and segment mix.

Revenue per available room (RevPAR) is calculated as:

RevPAR = Room revenue ÷ Available room nights

Equivalently, when occupancy is expressed as a decimal:

RevPAR = Average daily rate × Occupancy rate

These formulas are equivalent when average daily rate refers to occupied rooms and the same period and room inventory are used.

Outcome

In the first season, low-demand weekend occupancy increases while weekday business rates remain protected. Net revenue improves, but management discovers that some package bookings generate high breakfast and housekeeping costs. The package is redesigned, and the hotel adds a profitability measure by segment rather than relying on occupancy alone.

Learning points

The case illustrates that revenue management is not simply frequent price changing. It requires segmentation, fences, capacity awareness, contribution analysis, measurement of net rather than advertised price, and safeguards against unfair or confusing practices. It also shows why a promotion should be evaluated against the opportunity cost of capacity and the full cost of serving the customer.

Challenges and Limitations

Pricing models can fail because data are incomplete, customers are heterogeneous, competitors react, and demand changes unexpectedly. Elasticity estimated from past prices may be biased if prices were changed in response to anticipated demand. Break-even analysis can create false confidence when fixed and variable costs are misclassified. WTP research can overstate actual purchase behavior. Dynamic systems can produce reputational damage even when short-run revenue rises.

Managers should therefore use ranges and scenarios rather than a single forecast. Sensitivity analysis should examine how recommendations change when demand, cost, churn, or competitor response differs from assumptions. Strategic judgment remains necessary because not every important outcome—trust, fairness, brand meaning, or long-term relationships—is captured in a short-run profit function.

Best-Practice Checklist

  • Start with customer value and a clearly defined reference alternative.
  • Distinguish markup, margin, contribution, and net price.
  • Match the price metric to how customers perceive value.
  • Segment by economically meaningful differences, not stereotypes.
  • Use fences that are understandable and difficult to misuse.
  • Test promotions against a credible counterfactual.
  • Protect capacity and account for opportunity cost.
  • Treat algorithms as decision-support systems requiring governance.
  • Disclose material terms, renewals, fees, and restrictions.
  • Monitor profitability, retention, complaints, access, and fairness—not only sales.

Chapter Summary

Strategic pricing converts perceived customer value into revenue while balancing costs, competition, demand, capacity, and ethics. Value-based pricing begins with the customer’s reference alternative and differentiation value; cost-based pricing emphasizes cost recovery and markup; competition-based pricing uses rivals as reference points; and demand-based pricing responds to elasticity, timing, and market conditions. Contribution and break-even analysis clarify the economics of price and volume decisions, but their assumptions must be tested. WTP and elasticity help managers understand customer response, while price discrimination and price fences permit differentiated offers when segments can be identified fairly. Revenue management allocates perishable capacity across time and customer groups. Subscription models, promotions, and dynamic pricing create opportunities but require careful attention to metrics, transparency, privacy, and trust. Effective pricing is therefore an analytical and ethical management capability rather than a mechanical calculation.

Key Terms

Value-based pricing: Setting price with reference to customer-perceived economic and experiential value.

Cost-based pricing: Setting price from cost plus a markup or required return.

Competition-based pricing: Using competitor prices and offers as important reference points.

Demand-based pricing: Adjusting price in response to demand conditions and customer response.

Willingness to pay: The maximum amount a customer is prepared to pay under specified conditions.

Price elasticity of demand: The percentage response of quantity demanded to a percentage change in price.

Contribution margin: Price minus variable cost per unit.

Break-even quantity: Sales volume at which contribution equals fixed cost.

Markup: An addition to cost expressed as a percentage of cost.

Margin: Profit per unit expressed as a percentage of selling price.

Price discrimination: Charging different prices for substantially similar offerings based on WTP or market conditions.

Price fence: A rule that separates prices across segments or purchasing conditions.

Revenue management: Allocating constrained, perishable capacity to maximize expected economic returns.

Dynamic pricing: Changing prices in response to time, demand, inventory, or market conditions.

Subscription pricing: Charging recurring fees for continuing access or service.

Churn rate: The proportion of customers who stop subscribing during a specified period.

Price waterfall: The sequence of deductions from list price to net realized price.

Cannibalization: Sales of one offer replacing sales that would have occurred for another offer.

Review Questions

Short Answer Questions

  1. How does value-based pricing differ from cost-based pricing?
  2. Define price elasticity of demand and explain what an absolute elasticity greater than one means.
  3. What is the difference between markup and margin?
  4. Why are price fences important in segmented pricing?
  5. Identify two ethical risks associated with algorithmic pricing.

Long Answer Questions

  1. Explain the four foundations of pricing and discuss when each may be useful.
  2. Describe how a firm can estimate willingness to pay and evaluate the limitations of those methods.
  3. Explain revenue management and distinguish it from ordinary price discounting.
  4. Discuss the strategic advantages and risks of subscription pricing.
  5. Develop a complete pricing process for a new service, including financial, customer, competitive, and ethical analysis.

Analytical / Application Questions

  1. A product sells for $80, has a variable cost of $50, and faces fixed costs of $90,000. Calculate contribution per unit and break-even quantity. Explain how your conclusion would change if the price were reduced to $70 and expected demand increased.
  2. A hotel has 100 rooms, an average daily rate of $120, and 70% occupancy. Calculate RevPAR. Explain why maximizing occupancy alone may not maximize profit.
  3. A streaming service is considering a lower student price with identity verification and restricted simultaneous screens. Analyze whether this is defensible price discrimination, identifying customer value, operational, ethical, and governance considerations.

Multiple Choice Questions with Answers

Question 1

Which pricing approach begins primarily with the customer’s perceived value relative to the next-best alternative?

A. Cost-based pricing

B. Value-based pricing

C. Competition-based pricing

D. Clearance pricing

Correct Answer: B. Value-based pricing

Question 2

A product has a price of $50 and a variable cost of $30. What is its contribution margin per unit?

A. $20

B. $30

C. $50

D. $80

Correct Answer: A. $20

Question 3

If fixed cost is $60,000 and contribution margin per unit is $20, what is the break-even quantity?

A. 1,200 units

B. 2,000 units

C. 3,000 units

D. 4,000 units

Correct Answer: C. 3,000 units

Question 4

Demand is elastic when the absolute value of price elasticity is:

A. Less than 0

B. Equal to 0

C. Equal to 1 only

D. Greater than 1

Correct Answer: D. Greater than 1

Question 5

Which is an example of a second-degree price discrimination structure?

A. A student discount

B. A bulk-quantity discount

C. A regional tax difference

D. A competitor’s price match

Correct Answer: B. A bulk-quantity discount

Question 6

Why is unsold hotel capacity considered perishable?

A. It cannot be stored for sale after the relevant night

B. It always has a variable cost of zero

C. It must be sold below cost

D. It can only be sold to business travelers

Correct Answer: A. It cannot be stored for sale after the relevant night

Question 7

Which metric is calculated as average daily rate multiplied by occupancy rate?

A. Customer lifetime value

B. Contribution margin ratio

C. Revenue per available room

D. Churn rate

Correct Answer: C. Revenue per available room

Question 8

A $40 unit cost with a 25% markup produces which price?

A. $45

B. $48

C. $50

D. $65

Correct Answer: C. $50

Question 9

Which practice best supports ethical subscription pricing?

A. Making cancellation deliberately difficult

B. Hiding renewal terms in a long document

C. Providing clear renewal information and accessible cancellation

D. Increasing price without notifying customers

Correct Answer: C. Providing clear renewal information and accessible cancellation

Question 10

Why should a promotion be evaluated against a counterfactual?

A. To count every promoted sale as incremental

B. To estimate what would have happened without the promotion

C. To eliminate all variable costs

D. To guarantee that competitors will not respond

Correct Answer: B. To estimate what would have happened without the promotion

Strategic Marketing Management
Chapter 9 of 15