Top Banner
Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009
42

Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

Dec 25, 2015

Download

Documents

Felix Benson
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

Conjoint and Segmentation

Market IntelligenceJulie Edell Britton

Session 8September 26, 2009

Page 2: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

Today’s Agenda•Announcements

•Segmentation

•IBM Global Mobile Computing Case: The Prometheus Project

Page 3: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

Announcements

• Submit WEMBA C by 10pm on Thursday, October 8. One solution per team. This is a major case write-up

Page 4: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

4

Agenda•1st hour

•Market Segmentation•Perceptual mapping•Choosing basis for segmentation•Segmentation analyses

•2nd hour – Kevin Clark•Program Director, Program Director, Brand and Values Experience•IBM Global Mobile Computing Segmentation case

Page 5: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

5

Market Share of New or Changed Products

• Developing effective new product introduction and product line strategies.

• Estimating market shares for new product introductions and improvements.

• Estimate profitability associated with new product introductions or improvements by integrating price and cost information.

Page 6: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

6

Selling Plexiglas Aquaria to Builders

John Wolf is a manufacturer of Plexiglas spas sold to building contractors. He discovers that he has the technology to make large Plexiglas fish tanks cheaply. These tanks look very sharp and make it possible to burnish attractive designs on the back wall. He wants to manufacture Plexiglas tanks to sell into the commercial construction market for installation into banks, restaurants, and public places.

Page 7: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

77

Examples of Acrylic Aquaria

Page 8: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

Selling Plexiglas Aquaria to Builders

Plexiglas fish tanks have heretofore garnered a small market share. Mr. Wolf assumes that this is due

to the high price ($30,000) relative to the price of similar sized glass fish tanks ($10,000). Since he can produce Plexiglas fish tanks cheaply enough to make a sizeable profit based upon a price of $10,000, he thinks it can be

a good new product offering.

Page 9: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

CALCULATING PART WORTHS AND INFERRING THE VALUES OF UNMEASURED CELLS

STEP 1: Measure evaluations of a strategic subset of attribute combinations

a1 =glass tank a2 = plexiglas tank

b1 = $30K b2 = $10K b1 = $30K b2 = $10K

c1 = plain finish

Cell 1

Cell 2 1

Cell 3 2

Cell 4

c2 = design on back

Cell 5 3

Cell 6

Cell 7

Cell 8 6

Customer 1 (Data in 1st row of slide 35)

Page 10: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

STEP 2: Decompose evaluation of each combo into a grand mean plus the contribution of each attribute.

a1 = glass tank a2 = plexiglass tank

b1 = $30 K b2 = $10 K b1 = $30 K b2 = $10 K

c1 = plain finish

u+a1+b1+c1 Cell 1

u+a1+b2+c1 Cell 2

1

u+a2+b1+c1 Cell 3

2

u+a2+b2+c1 Cell 4

c2 = design on back

u+a1+b1+c2 Cell 5

3

u+a1+b2+c2 Cell 6

u+a2+b1+c2 Cell 7

u+a2+b2+c2 Cell 8

6

u = Grand Mean a1 = Mean of a1 cells – Grand Mean = a2 = Mean of a2 cells – Grand Mean = b1 = Mean of b1 cells – Grand Mean = b2 = Mean of b2 cells – Grand Mean = c1 = Mean of c1 cells – Grand Mean = c2 = Mean of c2 cells – Grand Mean =

Page 11: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

a1 = glass tank a2 = plexiglas tank

b1 = $30 K b2 = $10 K b1 = $30 K b2 = $10 K

c1 = plain finish

u+a1+b1+c1

u+a1+b2+c1 Cell 2

C

u+a2+b1+c1 Cell 3

C

u+a2+b2+c1 Cell 4

?

c2 = design on back

u+a1+b1+c2

NOT

u+a1+b2+c2

NOT

u+a2+b1+c2 Cell 7

?

u+a2+b2+c2 Cell 8

?

Page 12: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

STEP 3: Apply assumptions about market

1. Representative sample of 10 customers - Each customer represents 10% of market.

- We have calculated each customer’s part- worths and product preferences.

1. Cells with a “C” are existing Competitors. 2. Cells with a “?” are contemplated entries by Wolf.3. Cells with “NOT” are technologically infeasible (though

customers would not know this). 4. Product ratings for cells 2, 3, 4, 7, and 8 are shown on

next page.

Page 13: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

13

Scenario U: Status Quo

What is market shares for Cell 2 (Glass, $10K, Plain) and Cell 3 (Plexi, $30K, Plain)? Existing competitors.

Use the "U" to compute market shares.

Cell 2 (A1B2C1) =

Cell 3 (A2B1C1) =

Page 14: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

1414

Scenario U: Status Quo

What is market shares for Cell 2 (Glass, $10K, Plain) and Cell 3 (Plexi, $30K, Plain)? Existing competitors.

Use the "U" to compute market shares.

Cell 2 (A1B2C1) =

Cell 3 (A2B1C1) =

Page 15: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

15

15

Cell 2 Cell 3 Cell 4 Cell 7 Cell 8

Customer A1B2C1 A2B1C1 A2B2C1 A2B1C2 A2B2C2

1 1 2 3 5 61

2 7 4 7 6 91

3 8 6 7 6 71

4 9 8 10 5 71

5 7 5 8 7 101

6 7 6 10 5 91

7 5 6 9 5 81

8 7 5 7 6 81

9 8 5 7 5 71

10 8 8 7 7 60.5 0.5

Total Votes 7.5 2.5Share 75% 25%

Page 16: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

16

Scenario V: Wolf Introduces Plexiglas, $10K, Plain (cell 4)

1. What are the market shares for Cell 2, Cell 3, Cell 4 (Wolf)?

Use the "V" to compute market shares.

Cell 2 (A1B2C1) =

Cell 3 (A2B1C1) =

Cell 4 (A2B2C1) =

2. Suppose it cost Wolf $7500 to produce the Cell 4 product. Also suppose the market size is 1000 units. What is Wolf's expected profit?

3. How would you expect competition to respond?

4. How might Wolf respond to their response?

Page 17: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

17

Cell 2 Cell 3 Cell 4 Cell 7 Cell 8

Customer A1B2C1 A2B1C1 A2B2C1 A2B1C2 A2B2C2

1 1 2 3 5 61

2 7 4 7 6 90.5 0.5

3 8 6 7 6 71

4 9 8 10 5 71

5 7 5 8 7 101

6 7 6 10 5 91

7 5 6 9 5 81

8 7 5 7 6 80.5 0.5

9 8 5 7 5 71

10 8 8 7 7 60.5 0.5

Total Votes 3.5 0.5 6Share 35% 5% 60%

Page 18: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

Cell ID # 2 3 4 7 8

Marginal Cost $7,500 $8,000 $8,000

CompetitorCompetitor Wolf Wolf WolfGlass Plexi Plexi Plexi Plexi

$10,000 $30,000 $10,000 $30,000 $10,000 WolfScenario Plain Plain Plain Design Design Profit

U 75% 25%V 35% 5% 60% $1,500,000U-V 40% 20%

Scenario V: Wolf Introduces Plexi, $10K, Plain

Page 19: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

19

Scenario W: Introduce Plexiglass, $10K, Design

1. What are the market shares for Cell 2, Cell 3, Cell 8 (Wolf)?Use the "W" to compute market shares.

Cell 2 (A1B2C1) =

Cell 3 (A2B1C1) =

Cell 8 A2B2C2) =

2. Suppose it cost Wolf $8000 to produce the Cell 8 product and that the market size is 1000 units. What is Wolf's expected profit?

3. How would you expect Wolf's competitors to respond? Is this a better strategy than Option V? Is there a more profitable Option? What should Wolf be charging for their etched tank?

Page 20: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

Cell 2 Cell 3 Cell 4 Cell 7 Cell 8

Customer A1B2C1 A2B1C1 A2B2C1 A2B1C2 A2B2C2

1 1 2 3 5 61

2 7 4 7 6 91

3 8 6 7 6 71

4 9 8 10 5 71

5 7 5 8 7 101

6 7 6 10 5 91

7 5 6 9 5 81

8 7 5 7 6 81

9 8 5 7 5 71

10 8 8 7 7 60.5 0.5

Total Votes 3.5 0.5 6Share 35% 5% 60%

Page 21: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

Scenario W: Wolf Introduces Plexi, $10K, Design

Cell ID # 2 3 4 7 8

Marginal Cost $7,500 $8,000 $8,000

CompetitorCompetitor Wolf Wolf WolfGlass Plexi Plexi Plexi Plexi

$10,000 $30,000 $10,000 $30,000 $10,000 WolfScenario Plain Plain Plain Design Design Profit

U 75% 25%W 35% 5% 60% $1,200,000U-W 40% 20%

Page 22: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

22

Scenario X: Introduce Plexiglas, $30K, Design

1. What are the market shares for Cell 2, Cell 3, Cell 7 (Wolf)?Use the "X" to compute market shares.

Cell 2 (A1B2C1)=

Cell 3 (A2B1C1) =

Cell 7 (A2B2C2) =

2. Suppose it cost Wolf $8000 to produce the Cell 7. Also suppose the market size is 1000 units. What is Wolf's expected profit?

3. Is this strategy better than Scenario V and W?

4. Can you draw a demand curve for etched plexiglass tanks?

5. Is this the best scenario?

Page 23: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

Cell 2 Cell 3 Cell 4 Cell 7 Cell 8

Customer A1B2C1 A2B1C1 A2B2C1 A2B1C2 A2B2C2

1 1 2 3 5 61

2 7 4 7 6 91

3 8 6 7 6 71

4 9 8 10 5 71

5 7 5 8 7 100.5 0.5

6 7 6 10 5 91

7 5 6 9 5 81

8 7 5 7 6 81

9 8 5 7 5 71

10 8 8 7 7 60.5 0.5

Total Votes 7 1.5 1.5Share 70% 15% 15%

Page 24: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

Scenario X: Wolf Introduces Plexi, $30K Design

Cell ID # 2 3 4 7 8

Marginal Cost $7,500 $8,000 $8,000

CompetitorCompetitor Wolf Wolf WolfGlass Plexi Plexi Plexi Plexi

$10,000 $30,000 $10,000 $30,000 $10,000 WolfScenario Plain Plain Plain Design Design Profit

U 75% 25%X 70% 15% 15% $3,300,000U-X 5% 10%

Page 25: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

Demand for Design Tank

$0

$10,000

$20,000

$30,000

$40,000

0 200 400 600 800

Quantity

Page 26: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

Conjoint Summary

•Experimental, so test threats to forecast validity

•Conjoint is useful for •new & existing products•pricing •profit maximization when costs are incorporated•Product line decisions•Competition and cannibalization

•For really new products, requires modification because people don’t have set tradeoffs

Page 27: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

27

Perceptual Mapping

•Physical map of customer perceptions

•Measuring similarity between two brands:

•Ratings of similarity

•Observed brand switching (switch to similar)

•Correlation between brands in how they are rated on perceptual attributes (high correlation = similar)

•Distance between two brands = f(dissimilarity)

•Reposition by reformulating product or advertising

•Expense = f(distance to be moved)

•Sustainability = f(who can do it cheaper?)

Page 28: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

28

Chicago Beer Market

Person BrandB

C Hamms Schlitz A D Miller Hamms Schlitz Bud

Rate whether you agree or disagree that this brand is described by this attribute1 = Strongly Disagree2 = Disagree3 = Slightly Disagree4 = Slightly Agree5 = Agree6 = Strongly Agree

Page 29: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

29

Perceptual Mapping: Factor Analysis

•Give consumers a list of brands (A, B, C, D, Miller, Hamms, Schlitz, Bud)•“With which are you familiar?”•Rate each on n attributes (mild flavor, malty, etc)•Factor analyze matrix of attribute ratings (use a separate row for each brand for each respondent)•Output shows

•a) number dimensions•b) attributes most related to dimensions•c) brand locations

Page 30: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

30

Page 31: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

31

Adding Customer Ideal Points

• Add in preference data to get each consumer’s “ideal point.” Suppose ranking: Hamms, Schlitz, Bud, Miller, C, B, D, A.

• Ideal closest to 1st ranked, 2nd closest to 2nd ranked, etc.

• Cluster ideal points in segments.

• Use to forecast shares.

Page 32: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

32

Page 33: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

33

Perceptual Map Summary

•Uses for Perceptual Maps:

•Identify your closest competitors

•Suggest repositioning strategies

•Suggest advertising themes supporting repositioning

•Identify brands that should be harvested

•Identify new product opportunities where some segment not well served by current brands

Page 34: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

34

Agenda•1st hour

•Conjoint for product line extensions•Market Segmentation

•Perceptual mapping (cont.)•Choosing basis for segmentation•Segmentation analyses

•2nd hour – Kevin Clark•Program Director, Program Director, Brand and Values Experience•IBM Global Mobile Computing Segmentation case

Page 35: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

35

Criteria for “Useful” Segments

• Homogeneity within segment, heterogeneity between.

• Systematic behaviors (Correlate segment membership w/ purchase, redemption, etc)

• Marketing mix efficiency potential• Cost-driven (e.g., media to reach) or different

elasticity with respect to some marketing mix variable.

• Make more money treating as segments than if we treated market as unsegmented whole

Page 36: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

36

Strategic v. Tactical

•Strategic segmentation -- what product markets to serve? ESPN The Magazine, IBM which segments to deselect / select?

•Tactical Segmentation -- should groups be treated same or differently wrt specific marketing decision variable?

•Dog Food: Size of Dog as Segmentation•Hi Price, Meat & Cereal v. Lo Price, All Cereal•Ad Theme: Love of Master v. Dog’s Active Life

Page 37: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

37

Analysis for Segmentation

Interaction and tactical market segmentation

A prior vs. clustering analytic approaches in segmentation

Page 38: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

38

Owners ofHi Price, Meat

& CerealLo Price, All

CerealRow

AverageSmall Dogs 9 4 6.5Large Dogs 4 8 6Column Average 6.5 6

Owners ofLove Between Master & Dog

Dog's Active Life

Row Average

Small Dogs 9 6 7.5Large Dogs 7 4 5.5Column Average 8 5

Page 39: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

39

Implications of Contrast

•A variable that is an excellent basis for segmentation wrt 1 decision about a marketing mix element may be a poor basis for segmentation wrt another mix element•For any given mix element decision, when evaluating alternative bases for segmentation, look for ones with big differences in sensitivity to mix variable.

Page 40: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

40

Owners ofHi Price, Meat

& CerealLo Price, All

Cereal

Hi Price Av - Lo

Price AvSmall Dogs 9 4 5Large Dogs 4 8 -4

Column Average 6.5 6 9Difference of Differences

Owner's IncomeHi Price, Meat

& CerealLo Price, All

Cereal

Hi Price Av - Lo

Price AvHi 8 6 2Lo 5 6 -1

Column Average 6.5 6 3Difference of Differences

Page 41: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

41

Analysis: A Priori vs. Clustering Approaches

•A priori -- Segments chosen by the analyst before collecting data

•Gender (M,F), Age (20-39; 40-59;60+), Heavy v. medium v. light user

•Clustering-based approaches (a posteriori)•Ask battery of questions (lifestyle, benefits sought, etc). •Find natural clusters/ segments. Approach taken in IBM case.•Don’t know going in how many segments•Describe segments by their mean answers to battery of usage situation questions

Page 42: Conjoint and Segmentation Market Intelligence Julie Edell Britton Session 8 September 26, 2009.

42

Summing Up

•Choosing a basis for segmentation•3 Criteria for useful segments•Strategic vs. Tactical Segmentation

•Analysis for segmentation•Interaction and Tactical Segmentation…A segmentation base that is useful for one tactical decision may be useless for another•A priori vs. clustering (a posteriori) approaches to segmentation