introduction to conjoint analysis.. different perspectives, different goals buyers: most desirable...
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Introduction to Introduction to Conjoint AnalysisConjoint Analysis
..
Different Perspectives, Different GoalsDifferent Perspectives, Different Goals
Buyers: Most desirable features & lowest priceBuyers: Most desirable features & lowest price
Sellers: Maximize profits by: Sellers: Maximize profits by: 1) minimizing costs of providing features 1) minimizing costs of providing features 2) providing products that offer greater overall value 2) providing products that offer greater overall value than the competitionthan the competition
Demand Side of EquationDemand Side of Equation
Typical research: focus on demandTypical research: focus on demand
Establish buyers wants/needsEstablish buyers wants/needs
Assess if it can be built/provided in a cost- Assess if it can be built/provided in a cost- effective mannereffective manner
Products/Services are Composed of Products/Services are Composed of Features/AttributesFeatures/Attributes
Credit Card:Credit Card:Brand + Interest Rate + Annual Fee + Credit LimitBrand + Interest Rate + Annual Fee + Credit Limit
On-Line Brokerage:On-Line Brokerage:Brand + Fee + Speed of Transaction + Reliability of Brand + Fee + Speed of Transaction + Reliability of Transaction + Research/Charting OptionsTransaction + Research/Charting Options
Learning What Customers Want:Learning What Customers Want:Alternative 1Alternative 1
Direct preference questions:Direct preference questions:– What brand do you prefer?What brand do you prefer?– What Interest Rate would you like?What Interest Rate would you like?– What Annual Fee would you like?What Annual Fee would you like?– What Credit Limit would you like?What Credit Limit would you like?
Answers too simplistic Answers too simplistic – (e.g. respondents prefer low fees to high fees, (e.g. respondents prefer low fees to high fees,
higher credit limits to low credit limits)higher credit limits to low credit limits)
Learning What Customers Want:Learning What Customers Want:Alternative 2Alternative 2
Ask about importancesAsk about importances
““How important is it that you get the How important is it that you get the bestbest brand, brand, lowestlowest interest rate, interest rate, lowestlowest annual fee, and annual fee, and highesthighest credit credit limit that you want?”limit that you want?”
Results: Stated ImportancesResults: Stated Importances
Importance Ratings often have low discriminationImportance Ratings often have low discrimination
Average Importance Ratings
7.5
8.1
7.2
6.7
0 5 10
Credit L imit
Annual Fee
Interest Rate
Brand
Learning What Customers Want:Learning What Customers Want:Alternative 3: Alternative 3: Conjoint Analysis Conjoint Analysis
Developed early 1970sDeveloped early 1970sMeasures valuation of components of a product/service Measures valuation of components of a product/service bundle bundle Dictionary definition: “Conjoint: Joined together, Dictionary definition: “Conjoint: Joined together, combined.”combined.” Marketer’s catch-phrase: “Features Marketer’s catch-phrase: “Features CONCONsidered sidered JOINTJOINTly”ly”
How Does Conjoint Analysis Work?How Does Conjoint Analysis Work?
Vary product features (IVs) to build many (often >12) Vary product features (IVs) to build many (often >12) product conceptsproduct concepts
Ask respondents to rate/rank those concepts (DV)Ask respondents to rate/rank those concepts (DV)
Determine unique value (utility) each features addsDetermine unique value (utility) each features adds
Interactions and tradeoffs identifiedInteractions and tradeoffs identified
What’s Good about Conjoint?What’s Good about Conjoint?
Realistic questions:Realistic questions:
Would you prefer . . .Would you prefer . . .
210 Horsepower or 140 Horsepower210 Horsepower or 140 Horsepower17 MPG 28 MPG17 MPG 28 MPG
Choose left: prefer Power. Choose right: prefer Choose left: prefer Power. Choose right: prefer EconomyEconomy
Present Present realisticrealistic tradeoff scenarios and infer tradeoff scenarios and infer preferences from product choicespreferences from product choices
Helps ID key features and boundaries (high and low)Helps ID key features and boundaries (high and low)
Conjoint Steps: Conjoint Steps: 1. Create Attribute List1. Create Attribute List
Attributes assumed to be independent Attributes assumed to be independent (Sonites: Weight, Design, Volume, Max (Sonites: Weight, Design, Volume, Max Freq, Power, and Price)Freq, Power, and Price)Each attribute has varying degrees, or Each attribute has varying degrees, or “levels”“levels”Levels Levels assumedassumed to be mutually exclusive of the to be mutually exclusive of the others (a product has one and only one level others (a product has one and only one level level of that attribute)level of that attribute)– Can “build in” real world constraints, e.g., weight and Can “build in” real world constraints, e.g., weight and
powerpower
How to Formulate Attribute LevelsHow to Formulate Attribute Levels
Concrete/unambiguous meaningConcrete/unambiguous meaning– ““Very expensive” vs. “Costs $575”Very expensive” vs. “Costs $575”– ““Weight: 5 to 7 kilos” vs. “Weight 6 kilos”Weight: 5 to 7 kilos” vs. “Weight 6 kilos”
Sonites:Sonites:– Weight:Weight: 10 -20 kg10 -20 kg– Design (Index): Design (Index): 3 – 103 – 10– Volume (dm3):Volume (dm3): 20 - 10020 - 100– Max Freq (1000Hz):Max Freq (1000Hz): 5 – 505 – 50– Power (W):Power (W): 5 - 1005 - 100
DO NOT leave meaning up to individual DO NOT leave meaning up to individual interpretationinterpretation
Conjoint OutputConjoint Output
1)1) Utilities (part worths)Utilities (part worths)
2)2) ImportancesImportances
Conjoint Output:Conjoint Output: Utilities (Part Worths) Utilities (Part Worths)
Numeric values that reflect how desirable different Numeric values that reflect how desirable different features are:features are:
FeatureFeature UtilityUtilityVanillaVanilla 2.52.5ChocolateChocolate 1.81.8
25¢25¢ 5.35.335¢35¢ 3.23.250¢50¢ 1.41.4
The higher the utility, the betterThe higher the utility, the better
Conjoint Output :Conjoint Output :Attribute ImportancesAttribute Importances
Measure how much influence each attribute has on choicesMeasure how much influence each attribute has on choices
Best minus worst level of each attribute, percentaged:Best minus worst level of each attribute, percentaged:
FLAVOR:FLAVOR:
Vanilla - Chocolate Vanilla - Chocolate (2.5 - 1.8) = (2.5 - 1.8) = 0.70.7 15.2%15.2%25¢ - 50¢25¢ - 50¢ (5.3 - 1.4) = (5.3 - 1.4) = 3.93.9 84.8%84.8%
---------- ----------------Totals:Totals: 4.64.6 100.0%100.0%
This buyer/group price sensitiveThis buyer/group price sensitive
NOTE: Importances directly affected by range of levels chosen NOTE: Importances directly affected by range of levels chosen for each attributefor each attribute
CONJOINT ANALYSIS - RELATIVE IMPORTANCE OF CHARACTERISTICS
Segment Design Max Freq Power Price TotalBuffs 6.4% 1.6% 26.6% 65.4% 100.0%Singles 3.6% 2.2% 38.5% 55.7% 100.0%Pros 8.8% 3.3% 43.4% 44.5% 100.0%HiEarners 15.4% 2.2% 31.9% 50.5% 100.0%Others 18.2% 1.6% 35.5% 44.7% 100.0%
CONJOINT ANALYSIS - UTILITIES - SEGMENT BUFFS
Unit 1 2 3 4 ImportanceDesign Level Index 4 5 6 7 6.4%
Utility [0,1] 0.28 0.37 0.38 0.36Max Freq Level KHz 26 34 42 50 1.6%
Utility [0,1] 0.34 0.36 0.35 0.33Power Level W 50 66 82 98 26.6%
Utility [0,1] 0.12 0.50 0.53 0.23Price Level $ 250 327 404 481 65.4%
Utility [0,1] 0.00 1.00 0.31 0.07
For four (4) different “levels” of the top four (4) attributes, what are the utilities?
Note: Weight & Volumeexcluded
12
12
3
3
1
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
0.00 5.00 10.00 15.00 20.00250
327
404
481
Price
50
6682
98
Power
26 34 4250
Max Freq
4
5 67
Design
NOTE: Inverse “U” relationship of attribute levels and utility
SummarySummary
Conjoint is one of several tools made Conjoint is one of several tools made available to aid in setting attribute values.available to aid in setting attribute values.
Please note: This is not an exact science! Please note: This is not an exact science! Consumer preference may shift based on Consumer preference may shift based on market and competitive dynamics.market and competitive dynamics.