7. Pricing, Incentives and Revenue Management

Introduction: Why Price Is More Than a Number

Pricing is one of the most consequential decisions in real estate marketing and sales management. A price communicates quality, defines the target market, influences financing feasibility, determines the pace of sales, and ultimately affects the developer’s return on invested capital. In real estate, however, price is rarely a simple amount printed on a brochure. It may include a base price, floor or view premiums, parking charges, taxes, maintenance deposits, registration costs, furnishing packages, financing costs, and time-bound incentives. The effective price paid by the customer and the net revenue retained by the developer may therefore be substantially different.

Real estate pricing is also distinctive because inventory is heterogeneous, immobile, durable, capital-intensive, and often sold before completion. A unit on a higher floor may command a premium, while an apparently similar unit facing a construction site may require a discount. Demand is affected by interest rates, employment, infrastructure, regulation, household formation, investor sentiment, and competing developments. The challenge for management is to establish prices that customers perceive as fair, sales teams can communicate credibly, and the project can sustain financially.

Revenue management extends this task. It concerns the systematic allocation and pricing of relatively fixed, perishable or time-sensitive inventory in order to maximize appropriate revenue over a selling horizon. In a residential project, unsold inventory represents tied-up capital, continuing finance costs, and exposure to market risk. In a hotel, serviced apartment, student housing, or co-living project, inventory is even more time-sensitive because an unoccupied night or month cannot generally be recovered. Effective revenue management therefore integrates pricing, inventory release, incentives, absorption, sales productivity, and cash-flow planning.

Learning Objectives

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

1. Explain the principal approaches to real estate pricing and identify their appropriate uses.

2. Assess willingness to pay, perceived value, and price elasticity in different market segments.

3. Distinguish between list price, transaction price, effective price, and net realized revenue.

4. Design and evaluate discounts, incentives, payment plans, and sales commissions.

5. Calculate and interpret absorption rates, revenue realization, contribution margins, and basic price elasticity.

6. Apply revenue-management principles to inventory release, unit premiums, and dynamic pricing.

7. Evaluate pricing decisions through financial, customer, ethical, regulatory, and long-term brand perspectives.

The Economic and Managerial Logic of Real Estate Pricing

A price performs several functions simultaneously. Economically, it is the exchange value of a property. Strategically, it positions the development relative to competitors. Psychologically, it provides a signal about quality, status, safety, and scarcity. Operationally, it determines the resources available for construction, marketing, debt service, and profit. A price that generates rapid bookings but inadequate contribution may be as problematic as a high price that leaves inventory unsold.

The relevant managerial distinction is between revenue and value. Revenue is the money received or contractually committed. Value is the benefit perceived by the customer relative to the total sacrifice involved. The customer’s sacrifice includes not only the purchase price but also taxes, financing charges, travel time, delay risk, maintenance obligations, and uncertainty about construction or resale. Consequently, a project can increase willingness to pay by improving reliability, amenities, location accessibility, design, after-sales service, or transparency, not merely by reducing price.

Real estate managers should also distinguish four prices:

• List price: the published or quoted price before negotiated adjustments.
• Transaction price: the amount stated in the sale agreement, including agreed adjustments.
• Effective customer price: the economic cost to the buyer after considering discounts, free additions, financing subsidies, and compulsory charges.
• Net realized revenue: the amount retained by the developer after discounts, incentives, channel commissions, taxes borne by the developer, and other selling costs.

Confusing these measures can produce false confidence. A project may report a high booking value while its net realized revenue is low because of large incentives and brokerage payments.

Pricing Approaches and When to Use Them

Cost-plus pricing

Cost-plus pricing begins with an estimate of total project cost and adds a desired margin. Costs may include land, construction, professional fees, approvals, finance, marketing, sales commissions, overhead, contingencies, and taxes. A simplified expression is:

Required average price per saleable unit = (Total project cost + target profit) / saleable area or units

This approach provides a financial floor and is especially useful during feasibility analysis. Its weakness is that customers do not purchase according to the developer’s cost structure. An inefficient land acquisition or cost overrun does not automatically create additional customer value. Cost-plus pricing should therefore establish viability, not determine the final market price by itself.

Competition-based pricing

Competition-based pricing compares the project with substitute developments using variables such as location, unit size, specifications, possession date, amenities, developer reputation, financing terms, and resale prospects. Simple price-per-square-foot comparisons are inadequate unless the basis of measurement is consistent. Carpet area, built-up area, and saleable area can yield very different apparent prices.

A competitive price may be set below, at, or above the market reference. A lower price can accelerate trial and absorption, but may signal inferior quality or trigger a price war. A premium is justified when the project offers differentiated value that customers recognize and can verify. Competitive intelligence should include not only advertised rates but also actual transaction prices, inventory availability, incentives, construction progress, and sales velocity.

Customer-value pricing

Customer-value pricing begins with the benefits sought by target segments and estimates their willingness to pay. A family may value school access and security; a young professional may value transit connectivity and flexible layouts; an investor may value rental demand and exit liquidity. The same physical feature can therefore have different economic value for different buyers.

Value-based pricing requires segmentation and evidence. Useful methods include customer interviews, conjoint analysis, choice experiments, reservation-price research, broker feedback, digital enquiry data, and analysis of comparable transactions. Stated willingness to pay should be treated cautiously: respondents may express interest at a price they would not actually pay. Behavioural evidence such as deposits, site visits, financing applications, and cancellations is often more reliable.

Investment-based pricing

For income-producing assets, price is linked to expected cash flows, risk, and required return. The income capitalization approach expresses value approximately as:

Value = stabilized net operating income / capitalization rate

Discounted cash-flow analysis is more appropriate where income, occupancy, expenses, capital expenditure, or exit value change over time. The present value of expected cash flows is compared with the acquisition price and required return. For a residential unit sold to investors, the analysis may include expected rent, vacancy, operating costs, taxes, financing, appreciation, and selling costs.

Investment-based pricing is sensitive to assumptions. A small change in interest rates, vacancy, capitalization rate, or completion timing can materially affect value. It should be presented through scenarios rather than as a single certain forecast.

Hybrid pricing

Professional practice usually combines these approaches. Cost analysis establishes the minimum economically acceptable range; competition establishes market boundaries; customer-value analysis identifies segment-specific premiums; and investment analysis tests returns and risk. The final price is a managerial judgment supported by evidence, not the mechanical output of one formula.

Willingness to Pay, Segmentation and Price Elasticity

Willingness to pay is the maximum amount a customer is prepared to sacrifice for a specified property and transaction package. It is not identical to income. A high-income customer may be price-sensitive in a standardized market, while a moderate-income customer may pay a premium for a feature considered essential. Willingness to pay depends on urgency, alternatives, financing capacity, perceived risk, expected utility, social meaning, and trust in the seller.

Segmentation allows a developer to avoid treating all demand as homogeneous. Segments may be based on household composition, income, occupation, location of work, intended use, investment horizon, financing capacity, or desired possession date. A project can then use differentiated products and prices without necessarily engaging in unfair discrimination. Examples include compact units for first-time buyers, larger units with premium views, furnished units for investors, and flexible payment plans for customers with irregular cash flows.

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

Price elasticity = percentage change in quantity demanded / percentage change in price

Demand is elastic when the absolute value exceeds one and inelastic when it is below one. In real estate, elasticity varies by location, segment, time period, inventory stage, financing conditions, and availability of substitutes. A unique waterfront unit may have relatively inelastic demand among affluent buyers, while standardized units in a crowded peripheral market may be highly elastic.

Elasticity should not be estimated from price and sales data without considering other changes. A price reduction may coincide with a new sales office, improved construction progress, a festival campaign, or a fall in interest rates. Managers should use controlled tests where feasible, historical observations, comparable projects, and multivariate analysis rather than assuming that every sales increase resulted from a discount.

From Price Architecture to a Revenue Decision

A real estate price architecture translates a headline rate into a coherent structure. It may include:

• base price by unit type and size;
• premiums for floor height, orientation, view, corner position, terrace, or furnishing;
• charges for parking, storage, club membership, or upgrades;
• stage-based price increases;
• payment-plan adjustments;
• customer-segment or channel rules;
• taxes, statutory charges, and disclosure requirements.

The architecture should be understandable to customers and auditable internally. Excessive complexity creates disputes, encourages inconsistent negotiation, and weakens trust. A manager should be able to explain why one unit costs more than another and whether a quoted discount is genuine.

Discounts and incentives

A discount lowers the price directly. An incentive provides additional value or reduces a cost without necessarily changing the headline price. Common incentives include registration support, modular kitchens, maintenance waivers, furniture packages, guaranteed rent, interest subvention, deferred payment, cash-back arrangements where lawful, and referral benefits.

An incentive is economically meaningful only after its cost and behavioural effect are assessed. A free upgrade that costs little but has high perceived value can be more efficient than a large cash discount. Conversely, a payment holiday may create significant finance cost and attract customers with weak repayment capacity. Incentives should have a clear objective: accelerate early absorption, reduce a specific objection, shift demand to less popular inventory, support a strategic segment, or protect cash flow.

Unstructured negotiation is dangerous. If customers learn that different buyers receive materially different terms for identical units, perceived unfairness and reputational damage may follow. Incentive policies should specify eligibility, duration, approval authority, documentation, and withdrawal conditions. They should also comply with consumer-protection, advertising, taxation, and real estate regulatory requirements.

Payment plans and cash-flow economics

A payment plan changes the timing and risk of cash receipts. Construction-linked plans align payments with progress and may reassure customers, but they can create collection volatility. Time-linked plans improve predictability but may be less attractive when construction progress is uncertain. Deferred-payment schemes can increase conversion but reduce the present value of revenue and increase default exposure.

The net benefit of a payment plan should be assessed using discounted cash flow, expected collection probability, finance cost, and administrative burden. A customer paying a higher nominal price over a long period may generate less present value than a customer receiving a modest discount and paying promptly. Sales teams must therefore be trained to sell the total economic proposition rather than only the monthly instalment.

Commissions and channel economics

Broker and channel commissions are a variable selling cost. They can expand reach and reduce the developer’s direct sales burden, but they may also encourage unsuitable selling, excessive discounting, or channel conflict. Commission structures should reward quality as well as volume. Possible components include booking, agreement execution, collection milestones, cancellation-adjusted performance, and customer satisfaction.

A useful measure is contribution after channel cost:

Contribution = net realized revenue – variable selling cost – variable service or fulfilment cost

A booking with a high gross value but a heavy commission and a high cancellation probability may be less attractive than a smaller direct sale. Clawback clauses, disclosure rules, lead ownership protocols, and customer suitability standards help control channel risk.

Absorption and Revenue Management

Absorption rate is the pace at which available inventory is sold or leased during a defined period. It may be expressed as units sold per month, percentage of available inventory sold per month, or value absorbed per period. The denominator must be specified: total project inventory, released inventory, or currently available inventory. Without this definition, comparisons can be misleading.

Revenue management connects absorption with price and inventory allocation. The objective is not always to maximize the number of early sales. Early units may be deliberately priced attractively to establish market acceptance, generate references, and fund construction. Later units may command higher prices as scarcity increases and project risk declines. However, holding too much inventory for a future premium can expose the project to market downturns and finance costs.

A practical revenue-management cycle involves:

1. forecasting demand by segment, unit type, time period, and channel;

2. classifying inventory according to attributes and strategic importance;

3. releasing units in controlled batches rather than exposing all inventory at once;

4. monitoring enquiries, visits, bookings, cancellations, collections, competitor prices, and conversion rates;

5. adjusting price, incentives, availability, or channel effort;

6. reviewing outcomes and updating forecasts.

Managers should examine the relationship between price and sales velocity. A high absorption rate at an unnecessarily low price may destroy value. A high price with almost no sales may indicate weak positioning, poor product-market fit, inadequate trust, or excessive market risk. The correct decision requires comparing expected contribution over time, not merely observing bookings.

Useful indicators include lead-to-visit conversion, visit-to-booking conversion, cancellation rate, average booking value, collection efficiency, inventory ageing, unsold inventory by attribute, incentive cost per sale, net revenue per square foot, and forecast error. A dashboard is valuable only when the data definitions are stable and the measures lead to decisions.

A Decision Framework for Dynamic Pricing

Dynamic pricing does not mean arbitrary or continuous price changes. It means adjusting price and commercial terms in response to observable changes in demand, inventory, time, cost, risk, and strategic objectives. Before changing a price, management should ask:

• Has the change occurred in genuine willingness to pay or merely in enquiry volume?
• Which unit types and customer segments are affected?
• Is the constraint price, product, financing, trust, or sales execution?
• What is the expected effect on absorption, margin, and cash flow?
• Will the change create adverse reference prices or customer complaints?
• Is the change permitted by contracts, regulations, and published commitments?

A simple decision matrix can classify inventory as high-demand, high-margin; high-demand, low-margin; low-demand, high-margin; or low-demand, low-margin. High-demand units may receive price increases or reduced incentives. Low-demand units may require product modification, improved merchandising, targeted incentives, or a price correction. Reducing price should not be the automatic response to every sales problem.

Illustrative Case: Meridian Heights

Background

Meridian Heights is an illustrative mid-market residential project with 240 apartments in a suburban growth corridor. The project offers three unit types: compact two-bedroom, standard three-bedroom, and premium three-bedroom units with larger terraces. At launch, management priced all units using a cost-plus approach supplemented by a modest comparison with two nearby projects.

Situation and problem

After four months, 42 units had been booked, but the pattern was uneven. Compact units had an absorption rate of 12 units per month, standard units 6 units per month, and premium units only 1 unit per month. The sales team requested a 10 per cent discount across the project. Finance rejected this proposal because construction costs and borrowing charges were rising, while the marketing department believed that the premium units had been poorly presented rather than incorrectly priced.

Analysis

The revenue team separated the evidence by unit type. Compact units were selling quickly with relatively few incentives, suggesting that their price was near or below the segment’s willingness to pay. Standard units generated many enquiries but lower booking conversion. Customer interviews indicated that buyers valued the location but were concerned about monthly instalments and possession risk. Premium-unit prospects liked the layout but did not perceive sufficient difference from standard units because the terrace, view, and privacy benefits were not effectively demonstrated.

The team also calculated net realized revenue. A proposed 10 per cent discount on a compact unit would have reduced contribution substantially, while the same economic value delivered as a limited registration-support incentive for selected standard units produced a smaller perceived sacrifice. For premium units, a furnished terrace package and a private viewing programme appeared more relevant than a general discount.

Strategy

Management adopted a differentiated plan. Prices for the fastest-selling compact units were increased in two stages, while early-booking incentives were withdrawn. Standard units received a construction-linked payment plan and a narrowly defined interest-support offer, subject to documented eligibility. Premium units were re-merchandised through improved visualizations, a furnished model, and a premium-service package. Inventory was released in monthly batches, and commissions were partly linked to collection milestones rather than only bookings.

The dashboard was redesigned to report bookings, cancellations, collections, incentive cost, net price, and absorption by unit type. The team also introduced a cancellation review because headline bookings had previously overstated realized demand.

Outcome

Over the following review period, compact-unit margins improved without a material fall in sales velocity. Standard-unit conversion increased after financing concerns were addressed. Premium-unit enquiries rose after the value proposition became visible, although management retained a small targeted incentive rather than reducing the published price. The project’s aggregate absorption improved, but more importantly, net realized revenue and collection quality became more predictable.

Learning points

The case illustrates that a project-wide discount can conceal different demand conditions. Pricing should be managed at the level of segments, unit attributes, timing, and net contribution. A sales problem may be caused by financing, communication, product presentation, or trust rather than by price alone. Finally, bookings are not equivalent to revenue unless collection probability and cancellation risk are considered.

Risks, Limitations and Common Errors

The most common error is cost-based inward thinking: management assumes that customers must accept a price because the developer needs a particular margin. A second error is competitor imitation without adjusting for differences in area measurement, delivery risk, specifications, or incentives. A third is discount addiction, in which repeated promotions train customers to delay purchase and undermine the reference price.

Forecasting is another major risk. Small changes in interest rates, regulation, infrastructure delivery, construction progress, or employment can alter demand. Historical sales may not represent future demand if the most motivated early buyers have already purchased. Revenue models should therefore use sensitivity analysis and scenarios.

Other risks include channel conflict, unauthorized discounts, misleading “limited-period” claims, hidden charges, discriminatory treatment, payment-plan defaults, data-quality problems, and algorithmic recommendations that reproduce historical bias. Revenue maximization can also become damaging if it sacrifices product quality, customer suitability, or long-term brand trust.

Governance, Ethics and Regulation

Pricing governance requires clear authority, documentation, audit trails, and separation between approved commercial policy and unauthorized negotiation. Advertised prices should disclose material conditions. Mandatory charges should not be concealed through an artificially low headline price. Promised amenities, possession dates, rental returns, and buy-back arrangements should be supported by accurate documentation and legally permissible commitments.

Ethically, managers should avoid exploiting information asymmetry, vulnerable purchasers, or customers who do not understand complex payment obligations. Affordability assessments and transparent explanations are especially important where buyers use substantial household leverage. Customer data used for personalized pricing must be collected lawfully, secured appropriately, and applied without unfair discrimination.

Technology, Analytics and Emerging Practice

Customer-relationship-management systems can connect lead sources, visits, bookings, collections, and cancellations. Business-intelligence dashboards can identify ageing inventory and compare net realized prices across channels. Predictive models may estimate conversion probability, cancellation risk, or the likely response to an incentive. Revenue-management systems can recommend price changes based on inventory, demand signals, and competitor observations.

Artificial intelligence can support scenario analysis and demand forecasting, but it does not remove managerial responsibility. Models may be trained on incomplete or biased data, confuse correlation with causation, or recommend aggressive pricing in circumstances where fairness and reputation matter. Human review, explainable assumptions, access controls, data validation, and periodic model testing are essential.

Emerging practice is also moving toward more granular product packaging, real-time customer feedback, digital booking journeys, and integrated pricing of sale, lease, furnishing, and service components. These developments increase analytical capability but also make transparency and governance more important.

Best-Practice Principles

A sound pricing and revenue-management system should:

• establish economic feasibility before setting market prices;
• research actual customer value and not rely solely on stated opinions;
• compare competitors on a like-for-like basis;
• define list, transaction, effective, and net prices separately;
• use incentives for explicit strategic purposes;
• evaluate payment plans through present value and default risk;
• measure absorption together with margin and collection quality;
• release inventory and adjust prices through documented rules;
• align commissions with sustainable revenue, not only bookings;
• maintain transparent, lawful, and auditable communication;
• test analytical models and retain managerial accountability;
• review pricing after market, cost, regulatory, or project changes.

Chapter Summary

Real estate pricing is a strategic, financial, and behavioural decision rather than a simple markup over cost. Cost-plus analysis establishes viability, competition-based analysis defines market reference points, customer-value pricing reflects willingness to pay, and investment-based analysis links price to expected income and risk. Strong practice combines all four perspectives.

Price elasticity differs across segments, unit attributes, time periods, and competitive conditions. Managers must distinguish list price, transaction price, effective customer price, and net realized revenue. Discounts, incentives, payment plans, and commissions should be evaluated according to their effect on contribution, cash flow, customer perception, and risk. Absorption rates become meaningful only when their denominator and time period are clear.

Revenue management coordinates demand forecasting, inventory release, dynamic pricing, channel economics, and performance monitoring. It seeks the best sustainable revenue outcome rather than the fastest possible bookings. Ethical disclosure, regulatory compliance, data governance, customer suitability, and long-term trust are integral to professional pricing. Technology and AI can improve forecasting and control, but they must support—not replace—responsible managerial judgment.

Key Terms

Absorption rate: The pace at which available real estate inventory is sold or leased during a specified period.

Cost-plus pricing: Pricing based on total cost plus a target margin.

Customer-value pricing: Setting price according to perceived benefits and willingness to pay.

Dynamic pricing: Adjusting price or commercial terms in response to changing demand, inventory, timing, cost, or risk.

Effective customer price: The buyer’s economic cost after considering discounts, incentives, and relevant charges.

Elastic demand: Demand that changes proportionately more than price changes.

Incentive: An additional benefit or cost reduction used to influence purchase behaviour.

Investment-based pricing: Valuation based on expected cash flows, risk, and required return.

List price: The published or initially quoted price before negotiated adjustments.

Net realized revenue: Revenue retained after discounts, incentives, commissions, and other selling costs.

Payment plan: The schedule and conditions governing the timing of customer payments.

Price elasticity of demand: The percentage change in quantity demanded divided by the percentage change in price.

Price architecture: The structured system of base prices, premiums, charges, discounts, and payment rules.

Reference price: The price customers use as a comparison point when evaluating an offer.

Revenue management: The systematic management of price, inventory, demand, and timing to improve revenue outcomes.

Segmentation: Dividing a market into groups with meaningfully different needs or purchasing behaviour.

Transaction price: The amount agreed in the sale contract after negotiated adjustments.

Willingness to pay: The maximum amount a customer is prepared to sacrifice for a defined property and transaction package.

Review Questions

Short Answer Questions

1. Distinguish between list price, effective customer price, and net realized revenue.

2. What is the principal weakness of relying exclusively on cost-plus pricing?

3. Define absorption rate and explain why its denominator must be specified.

4. How can a payment plan affect the present value of real estate revenue?

5. State two governance controls that can reduce unauthorized discounting.

Long Answer Questions

1. Compare cost-plus, competition-based, customer-value, and investment-based pricing approaches. Explain how a developer could combine them.

2. Discuss the role of willingness to pay and price elasticity in pricing different residential customer segments.

3. Explain how discounts, incentives, payment plans, and commissions influence both sales conversion and net contribution.

4. Describe a revenue-management cycle for a multi-unit residential development.

5. Examine the ethical and regulatory risks associated with real estate pricing and promotional communication.

Analytical / Application Questions

1. A project sells 20 units at a net contribution of 8 units of currency each month. Management proposes a 10 per cent price reduction expected to increase monthly sales to 23 units. What additional information is required before approving the reduction, and what calculations would you perform?

2. A premium unit type has many enquiries but few bookings, while compact units sell immediately with minimal incentives. Diagnose at least three possible causes and propose a differentiated pricing or value strategy.

3. Design a dashboard for monitoring revenue management in a residential project. Identify at least eight measures and explain how each could influence a managerial decision.

22. Multiple Choice Questions with Answers

Question 1

Which pricing approach is most directly concerned with the benefits perceived by a target customer segment?

A. Cost-plus pricing

B. Customer-value pricing

C. Historical pricing

D. Uniform inventory pricing

Correct Answer: B. Customer-value pricing

Question 2

A project reports strong booking value, but large discounts and brokerage payments reduce the amount retained by the developer. Which measure best captures this outcome?

A. List price

B. Transaction price

C. Net realized revenue

D. Reference price

Correct Answer: C. Net realized revenue

Question 3

If a 5% increase in price produces a 10% decrease in quantity demanded, demand is best described as:

A. Perfectly inelastic

B. Inelastic

C. Unit elastic

D. Elastic

Correct Answer: D. Elastic

Question 4

Why should a developer avoid applying the same discount across all unit types when demand differs substantially by type?

A. All units necessarily have identical costs

B. A uniform discount may reduce margin on units that would have sold without it

C. Discounts never affect customer behaviour

D. Unit types cannot be priced separately

Correct Answer: B. A uniform discount may reduce margin on units that would have sold without it

Question 5

Which measure is most useful for evaluating whether a payment plan creates economic value for the developer?

A. Only the nominal contract price

B. Only the number of instalments

C. Present value adjusted for collection probability and finance cost

D. The size of the brochure discount

Correct Answer: C. Present value adjusted for collection probability and finance cost

Question 6

A project sells 12 of 120 available units during one month. If the denominator is total available inventory, the monthly absorption rate is:

A. 5%

B. 10%

C. 12%

D. 20%

Correct Answer: B. 10%

Question 7

Which action is most consistent with responsible dynamic pricing?

A. Changing prices randomly without records

B. Using documented rules based on demand, inventory, timing, and risk

C. Giving undisclosed terms to selected customers

D. Reducing every price whenever enquiries fall

Correct Answer: B. Using documented rules based on demand, inventory, timing, and risk

Question 8

Why might a targeted registration-support incentive be preferable to a project-wide cash discount?

A. It can address a specific customer barrier while limiting the cost of the concession

B. It always increases the headline price

C. It eliminates all collection risk

D. It makes competitor analysis unnecessary

Correct Answer: A. It can address a specific customer barrier while limiting the cost of the concession

Question 9

Which commission design best supports sustainable revenue rather than merely maximizing bookings?

A. Paying the entire commission at lead generation

B. Paying only for brochure distribution

C. Linking part of the commission to agreement execution, collections, and cancellation-adjusted performance

D. Paying the highest commission to every channel regardless of outcome

Correct Answer: C. Linking part of the commission to agreement execution, collections, and cancellation-adjusted performance

Question 10

A premium unit receives many enquiries but few bookings because prospects do not perceive its additional features. What is the most appropriate first response?

A. Immediately discount every unit in the project

B. Improve value communication and test whether the differentiated package is understood

C. Withdraw all premium units permanently

D. Increase broker commissions without changing the presentation

Correct Answer: B. Improve value communication and test whether the differentiated package is understood