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PRICE SENSITIVITY

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Title: PRICE SENSITIVITY


1

  • PRICE SENSITIVITY
  • Peter P. Oppenheim
  • University of Ballarat

2
  • The art of pricing is to equate the price to the
    value of the product to the customer - anything
    less than that represents a sacrifice in
    potential profits.
  • E. Raymond Corey

3
Role of Value in Pricing
  • Economic value.
  • Reference value (price of best
    alternative).
  • Differentiation value (value of
    differentiating features).
  • The total economic value is the maximum price
    that an informed rational buyer would pay.
  • Economic value analysis.
  • Excellent tool when buyers are very price
    sensitive.

4
Economic Value Analysis
  • Industrial markets.
  • Value translates directly into financial savings.
  • Consumer markets.
  • Values are less tangible.
  • Difficult to quantify.
  • Market research required to estimate values.
  • Conjoint analysis.
  • Simulated test markets.
  • Discrete choice analysis.

5
Steps in Economic Value Analysis
  • Identify the REFERENCE VALUE.
  • i.e. The cost of the competitive product
    (identified as the best alternative)
  • Identify differentiating factors
  • Performance maintenance cost
  • Startup costs reliability
  • Service features
  • Determine the DIFFERENTIATION VALUE
  • Total economic value reference value
  • Differentiation value
  • Determine selling price

6
Limitations of the Economic Value Approach
  • Economic value approach.
  • Knowledgeable.
  • Sophisticated.
  • Rational.
  • Often buyers do not choose best value for price.
  • Unaware of alternatives.
  • Reluctant to invest effort required.
  • Hedonic considerations need to impress.
  • An effective pricing strategy requires an
    understanding of buyers price sensitivity, to
    explain why the model of Economic Value often
    fails to predict actual buyer behavior .

7
Factors Affecting Price Sensitivity
  • Perceived substitutes effect.
  • Buyers are more price sensitive the higher the
    products price relative to the prices of the
    buyers perceived substitutes.
  • What alternatives are buyers aware of when making
    a purchase?
  • To what extent are buyers aware of the prices of
    those substitutes?
  • To what extent can buyers price expectations be
    influenced by the positioning of one brand
    relative to particular alternatives?

8
Factors Affecting Price Sensitivity
  • Unique value effect.
  • Buyers are less sensitive to a products price
    the more they value any unique attributes that
    differentiate the offering from competitive
    products.
  • Does the product have any unique attributes that
    differentiate it from competitors?
  • What attributes do customers believe are
    important when choosing a supplier?
  • How can the perceived importance of
    differentiating attributes be increased?

9
Factors Affecting Price Sensitivity
  • Switching Cost Effect.
  • Buyers are less sensitive to the price of a
    product the greater the additional cost
    associated with switching.
  • To what extent have buyers already made
    investments in dealing with one supplier?
  • How long are buyers locked in by those
    expenditures?

10
Factors Affecting Price Sensitivity
  • Difficult comparison effect.
  • Buyers are less sensitive to price of a known or
    reputable supplier when they have difficulty in
    comparing alternatives.
  • How difficult is it for buyers to compare the
    offers of different suppliers?
  • Can the attributes of a product be determined by
    observation or following consumption.
  • Are prices of suppliers easily comparable or
    stated in a way that makes comparison difficult?

11
Factors Affecting Price Sensitivity
  • Price-quality effect.
  • Buyers are less sensitive to a products price to
    the extent that a higher price signals better
    quality.
  • Is a prestige image an important attribute of the
    product?
  • Is the product enhanced in value when its price
    excludes some consumers.
  • Is the product of unknown quality and are there
    few reliable cues for ascertaining quality before
    purchase?

12
Factors Affecting Price Sensitivity
  • Expenditure effect.
  • Buyers are more price sensitive when expenditure
    is larger, either in dollar terms or as a
    percentage of household income.
  • How significant are buyers expenditures for the
    product in absolute terms (business) and as a
    proportion of income (consumers).

13
Factors Affecting Price Sensitivity
  • End benefit effect.
  • Derived demand the more price sensitive the
    demand for a companys product, the more price
    sensitive are input products.
  • What end benefits do buyers seek from the
    product?
  • Share of total cost buyers are more price
    sensitive as price of input accounts for greater
    share of total cost.
  • What portion of the end-benefit does the product
    price account for?

14
Factors Affecting Price Sensitivity
  • Shared Cost Effect The effect of partial or
    complete reimbursement on a purchase. The
    strategy often adopted is to provide awards to
    customers which are valued more highly than price
    cuts that would be reimbursed anyway.
  • Does the buyer pay the full cost of the product?
  • If not, what portion of the cost does the buyer
    pay?

15
Factors Affecting Price Sensitivity
  • Fairness effect.
  • Buyers are more sensitive to a products price
    that is outside the range perceived as fair.
  • A price is considered unfair if
  • A large price increases has occurred?
  • There is a variance with prices paid for similar
    products?
  • The product is perceived as a necessity?

16
Factors Affecting Price Sensitivity
  • Inventory effect.
  • The ability of buyers to hold an inventory of a
    product, substantially increases their
    sensitivity to temporary price variations.
  • Do buyers hold inventories of the product?
  • Do buyers expect the current price to be
    temporary?

17
Managerial Analysis of Price Sensitivity
  • Every pricing strategy should begin with a
    managerial analysis of price sensitivity.
  • Identify market segments.
  • Identify range of prices.
  • Understand consumers.
  • Such an analysis should provide
  • Estimate of price sensitivity.
  • Understanding of factors that influence
    sensitivity.
  • Awareness of alternatives.
  • Confidence in making brand comparisons.
  • Share of cost paid by others.
  • Etc.

18
Economics of Price Sensitivity
  • Price elasticity - used to define price
    sensitivity
  • PE ( change in sales) / ( change in price)
  • Generally negative
  • Greater the value, the more elastic the demand
  • Permits price sensitivity to be discussed
    independent of particular price change
  • PE can be converted into expected change in sales
  • e.g. PE -2.5 then a 10 price increase
    would reduce sales by (-2.5 x 10) 25

19
Price Elasticity of Demand
  • EFFECTS OF DIFFERENT TYPES OF ELASTICITY

20
Measuring Price Sensitivity
  • Techniques for measuring price sensitivity
  • Actual purchases
  • Sales data
  • Experimentally controlled
  • Laboratory purchase
  • Preference and intentions
  • Direct questioning
  • Trade-off analysis
  • Conjoint analysis
  • Choice-based conjoint

21
Using Choice-based Conjoint to Assess Price
Sensitivity
  • In a study reported by Pinnell and Olsen (1996),
    a DBM survey was sent to 2000 respondents.
    Response rate 53. The study incorporated 4
    attributes brand (4), distribution (3) ,
    performance (3) price (4).
  • Which of these would you be most likely to
    purchase?

Brand A Brand B Brand C Brand D None
Retail or mail order Mail order only Retail or mail order Retail only If these were my only choices Id postpone my purchase.
Below average performance Above average performance Average performance Below average performance If these were my only choices Id postpone my purchase.
285 410 335 290 If these were my only choices Id postpone my purchase.
22
Developing Measures of Price Sensitivity
  • Percentage of time respondents as a group choose
    each brand at each price used to create a
    graphic representation of the relative demand for
    each

23
Developing Measures of Price Sensitivity (Cont.)
  • At the current average price the sales for brand
    D 56. A 10 price increase would change sales
    to 45. To estimate this sensitivity in terms of
    price elasticity the change in sales
    (-11/56) 20 is divided by the price
    increase of 10 (-20/10) to give an elasticity
    estimate of -2.0.
  • Using the same price points brand C has a sales
    level 17 at its current average price and
    11with a 10 price increase. The percentage
    change in sales is (-6/17) 35 implying an
    elasticity of 3.5.
  • Although brand Cs sales fell by 6 points c.f.
    11 points for brand D, as a percentage, brand C
    lost 35 of its share and brand D lost only 20.
  • These elasticity estimates may then be used
    together with volume and cost data to assess the
    impact of various pricing strategies on profits.

24
Small change in price
Relatively smaller change in demand
Customers are price insensitive Demand is
inelastic
25
Small change in price
RELATIVELY LARGER CHANGE IN DEMAND
Customers are price sensitive Demand is elastic
26
Pricing Exercise
  • We have elastic demand with the price elasticity
    of -1.4
  • Suggests that lowering prices could be a good
    idea because total revenue will increase. (NB
    TR ? Profit)

27
When demand is inelastic
  • Demand is considered inelastic when the price
    elasticity is between 0.0 and -1.0
  • Suggests that raising prices could be a good
    idea because revenue will increase.

28
Properties of a Power function
  • A power function is a function that permits a
    line of best fit to be drawn as a curve.
  • y apb
  • Where y demand or sales
  • p price
  • b an exponent that determines the
  • shape of the curve

29
Properties of a Power function
  • An important property of the power curve is that
    when p changes by 1, y changes by a constant
    percentage which is approximately equal to b.
  • i.e. the price elasticity of demand
  • For example
  • if y 100p-2.35
  • then every 1 increase in p leads to
    approximately a 2.35 decrease in y.

30
Example 1
Month Price Demand
1 450 45
2 300 103
3 440 49
4 360 86
5 290 125
6 450 52
7 340 87
8 370 68
9 500 45
10 490 44
11 430 58
12 390 68
31
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32
Determining the Optimum Price
  • Assume a company produces with a cost of
    production and marketing 50.
  • The selling price must therefore be gt 50.
  • If the company charges P dollars, profit will be
    (P-50)D where D sales.
  • But D depends on P. As price increases, demand
    decreases.
  • Therefore need to identify how D varies with P
    i.e. identify a demand function.

33
Identification of a demand function
  • As a minimum two points are required, say
  • When price 70, sales 400
  • When price 80, sales 300

34
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35
Determining the Optimum Price
  • Construct an Excel spreadsheet
  • Enter formula to compute sales
  • Sales Constant Price Elasticity
  • Enter formula to compute profit
  • Profit (Price Cost) Sales
  • Use SOLVER to determine the optimum price by
    maximizing profit subject to price gt cost

36
  • Solver is part of a suite of commands sometimes
    called what-if analysis tools. With Solver, you
    can find an optimal value for a formula in one
    cell called the target cell on a worksheet.
    Solver works with a group of cells that are
    related, either directly or indirectly, to the
    formula in the target cell. Solver adjusts the
    values in the changing cells you specify called
    the adjustable cells to produce the result you
    specify from the target cell formula. You can
    apply constraints to restrict the values Solver
    can use in the model, and the constraints can
    refer to other cells that affect the target cell
    formula.
  • Use Solver to determine the maximum or minimum
    value of one cell by changing other cells for
    example, you can change the amount of your
    projected advertising budget and see the affect
    on your profit amount.

37
Determining the Optimum Price
38
Solver Dialog Box
39
Conclusion
  • Numerical estimation of price sensitivity is no
    shortcut to knowing a products buyers.
  • Numerical estimates are an important source of
    objective information that can supplement the
    more subjective observations that usually
    dominate managerial judgments about price
    sensitivity.
  • As a supplement they can substantially improve
    the accuracy of such judgments.

40
References
  • Nagle, T.T. and R.K. Holden (1995), The Strategy
    and Tactics of Pricing, Englewood Cliffs,
    NJPrentice Hall.
  • Peter, J. P. and J.C. Olson (1999), Consumer
    Behaviour and Marketing Strategy, Boston
    Irwin/McGraw-Hill.
  • Pinnell, J. and P. Olsen (1996), Using
    Choice-Based Conjoint to Assess Brand Strength
    and Price Sensitivity, Sawtooth News.
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