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Mike Maughan

Product Marketing
Craig Lutz

Professional Services
Customer-driven World
Conjoint for Humans
Dating = 
Conjoint Decisions
What is Conjoint Analysis?
•  Measures preference and value
•  Models market experience 
•  Identifies role of price 
•  Predicts market adoption
Building Blocks of Conjoint
•  Features
•  Levels
Conjoint on the Road
2014 Ferrari Enzo F70
	
  
Color
Horse
Power
Cost
Body
Style
MPG
Red
Black
Yellow
Steps of a Conjoint Analysis Project
1.  Define features and levels
2.  Select type of conjoint
analysis
3.  Collect data
4.  Run analysis & reporting
Types of Conjoint Analysis
•  Choice-based
•  Adaptive Choice
•  Menu-based
•  Full-profile Rating-based
•  Self-explicated
Types of Conjoint Analysis
•  Choice-based
•  Adaptive Choice
•  Menu-based
•  Full-profile Rating-based
•  Self-explicated
Choice-based Conjoint Analysis
•  Most commonly used
•  Respondents select
from grouped options
OR
A double scoop of
vanilla ice cream with
no toppings
A single scoop of
chocolate ice cream
with chocolate chunks
Which ice cream option is more appealing to you?
Choice-based Conjoint Analysis
•  Simplest and easiest 
•  Accurately simulates the
market
•  An excessive number of
features or levels (in
combination) necessitates
long surveys, which leads to
survey fatigue
Pros
 Cons
NFL Team Ticket Packages
•  Situation: The team had to raise ticket prices
•  Goal: Understand what fans most valued, allowing the NFL
team to present ticket packages that delivered the right value at
the right price 
NFL Team Ticket Packages Pricing
Features
 Levels*
Seat location
 End zone, sideline, upper bowl, lower bowl
Price
 $100, $200, $300, $400
Parking Voucher
 VIP lot, Lot A, Lot B, Shuttle lot
Concession Voucher
 Full meal, hot dog and drink, 3 beers
*These are not the actual levels used in this conjoint analysis project.
Types of Conjoint Analysis
•  Choice-based
•  Adaptive Choice
•  Menu-based
•  Full-profile Rating-based
•  Self-explicated
Adaptive Choice Conjoint Analysis
•  Can handle large feature sets
•  Packages adapt based on
previous selections
•  It gets ‘smarter’ as the survey
progresses
Adaptive Choice Conjoint Analysis
Adaptive Choice Conjoint Analysis
Adaptive Choice Conjoint Analysis
Adaptive Choice Conjoint Analysis
•  Effectively handles many
features and levels
•  Maximizes respondents’ time
by asking fewer questions to
get to equally valid data
•  More complicated to set up,
and thus more costly
•  Requires more advanced
statistical methods to
determine preference models
Pros
 Cons
Adaptive Choice Conjoint Analysis
Types of Conjoint Analysis
•  Choice-based
•  Adaptive Choice
•  Menu-based
•  Full-profile Rating-based
•  Self-explicated
Menu-based Conjoint Analysis
•  Respondents are shown a list of
features and levels
•  Respondents choose among
options to create their ideal
product, rather than selecting from
pre-established groupings
Please select from the following items to configure your
optimal dining experience:
Restaurant type:
Café
Casual dining
Buffet
Pub / bar
Fast food
	
  
	
  
	
  
	
  Atmosphere
Quiet
Family friendly
Rowdy
Themed
	
  
	
  
	
  
	
  Perks
Free wifi
Entertainment
Free appetizers
	
  
	
  
	
  
	
  
•  Fewer questions are used to
determine what customers
value
•  The most flexible and
engaging type of conjoint
survey 
•  Results are less scientific –
they are not based on
regressions, but rather count
totals or percentages
Pros
 Cons
Menu-based Conjoint Analysis
Telecommunications Company
•  Modeled the buying
behavior demonstrated
in the market
MINUTES:
100 minutes
500 minutes
2000 minutes
Unlimited minutes
	
  
	
  
	
  
	
  
TEXTS
200 texts
500 texts
1000 texts
Unlimited texts
DATA
2 GB
5 GB
10 GB
Unlimited data
Cell	
  Phone	
  Minutes	
  
1000	
  minutes	
  
	
  
	
  
	
  
	
  
Texts	
  
	
  
	
  
	
  
	
  
Data	
  
Types of Conjoint Analysis
•  Choice-based
•  Adaptive Choice
•  Menu-based
•  Full-profile Rating-based
•  Self-explicated
Full-profile Rating-based Conjoint Analysis
•  Display series of product
profiles
•  Typically rated on a
likelihood to purchase or
preference scale
•  Allows for the greatest
variation in responses
•  Most granular feedback
•  Can lead to respondent
fatigue
•  Does not value the market as
accurately as other types
•  Ambiguity between rating
scales
Pros
 Cons
Full-profile Rating-based Conjoint Analysis
Laser Spine Treatment Marketing
•  Goal: Develop effective $16M
advertisement campaign 
•  Action: Conjoint survey of individuals over
50 with moderate to severe back pain
•  Impact: Doubled first year expected
revenue goal
Types of Conjoint Analysis
•  Choice-based
•  Adaptive Choice
•  Menu-based
•  Full-profile Rating-based
•  Self-explicated
Self-explicated Conjoint Analysis
•  Direct ask of feature and levels
•  Each feature is presented
separately for evaluation or
elimination
•  Respondents rate all
remaining features according
to desirability
•  Simpler and shorter for
respondents
•  Fully supported within the
Qualtrics platform
•  Lose all interaction effects
•  It is limited to features and
levels that don’t include price
Pros
 Cons
Self-explicated Conjoint Analysis
Financial Services Firm
Non-price related questions:
•  Who do you prefer to contact
you? (Sales, customer
support, marketing, etc.)
•  How do you prefer to be
contacted? (Phone call, text,
mail, email, etc.)
•  Would you like to be followed
up with if not reached in first
attempt (Yes, No)
Output of Conjoint Analysis
Simulator
Qualtrics Professional Services

•  150+ conjoint projects per year
•  Leverages the flexibility and reach of
the Qualtrics platform
•  For a quote on professional services
work, feel free to reach out to us at
conjoint@qualtrics.com
Qualtrics Professional Services

Conjoint analysis is just one of the things the
Qualtrics Professional Services team does. 

They're also great at:
•  Voice of the Customer 
•  Website Advisory Services
•  Custom Dashboards
•  API Integration Services
•  Research Consulting
•  And much, much more!
38	
  
Questions?
Thank you!

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Understanding Consumer Preferences with Conjoint Analysis

  • 1.
  • 2. Mike Maughan Product Marketing Craig Lutz Professional Services
  • 4. Conjoint for Humans Dating = Conjoint Decisions
  • 5. What is Conjoint Analysis? •  Measures preference and value •  Models market experience  •  Identifies role of price •  Predicts market adoption
  • 6. Building Blocks of Conjoint •  Features •  Levels
  • 7. Conjoint on the Road 2014 Ferrari Enzo F70   Color Horse Power Cost Body Style MPG Red Black Yellow
  • 8. Steps of a Conjoint Analysis Project 1.  Define features and levels 2.  Select type of conjoint analysis 3.  Collect data 4.  Run analysis & reporting
  • 9. Types of Conjoint Analysis •  Choice-based •  Adaptive Choice •  Menu-based •  Full-profile Rating-based •  Self-explicated
  • 10. Types of Conjoint Analysis •  Choice-based •  Adaptive Choice •  Menu-based •  Full-profile Rating-based •  Self-explicated
  • 11. Choice-based Conjoint Analysis •  Most commonly used •  Respondents select from grouped options OR A double scoop of vanilla ice cream with no toppings A single scoop of chocolate ice cream with chocolate chunks Which ice cream option is more appealing to you?
  • 12. Choice-based Conjoint Analysis •  Simplest and easiest •  Accurately simulates the market •  An excessive number of features or levels (in combination) necessitates long surveys, which leads to survey fatigue Pros Cons
  • 13. NFL Team Ticket Packages
  • 14. •  Situation: The team had to raise ticket prices •  Goal: Understand what fans most valued, allowing the NFL team to present ticket packages that delivered the right value at the right price NFL Team Ticket Packages Pricing Features Levels* Seat location End zone, sideline, upper bowl, lower bowl Price $100, $200, $300, $400 Parking Voucher VIP lot, Lot A, Lot B, Shuttle lot Concession Voucher Full meal, hot dog and drink, 3 beers *These are not the actual levels used in this conjoint analysis project.
  • 15. Types of Conjoint Analysis •  Choice-based •  Adaptive Choice •  Menu-based •  Full-profile Rating-based •  Self-explicated
  • 16. Adaptive Choice Conjoint Analysis •  Can handle large feature sets •  Packages adapt based on previous selections •  It gets ‘smarter’ as the survey progresses
  • 21. •  Effectively handles many features and levels •  Maximizes respondents’ time by asking fewer questions to get to equally valid data •  More complicated to set up, and thus more costly •  Requires more advanced statistical methods to determine preference models Pros Cons Adaptive Choice Conjoint Analysis
  • 22. Types of Conjoint Analysis •  Choice-based •  Adaptive Choice •  Menu-based •  Full-profile Rating-based •  Self-explicated
  • 23. Menu-based Conjoint Analysis •  Respondents are shown a list of features and levels •  Respondents choose among options to create their ideal product, rather than selecting from pre-established groupings Please select from the following items to configure your optimal dining experience: Restaurant type: Café Casual dining Buffet Pub / bar Fast food        Atmosphere Quiet Family friendly Rowdy Themed        Perks Free wifi Entertainment Free appetizers        
  • 24. •  Fewer questions are used to determine what customers value •  The most flexible and engaging type of conjoint survey •  Results are less scientific – they are not based on regressions, but rather count totals or percentages Pros Cons Menu-based Conjoint Analysis
  • 25. Telecommunications Company •  Modeled the buying behavior demonstrated in the market MINUTES: 100 minutes 500 minutes 2000 minutes Unlimited minutes         TEXTS 200 texts 500 texts 1000 texts Unlimited texts DATA 2 GB 5 GB 10 GB Unlimited data Cell  Phone  Minutes   1000  minutes           Texts           Data  
  • 26. Types of Conjoint Analysis •  Choice-based •  Adaptive Choice •  Menu-based •  Full-profile Rating-based •  Self-explicated
  • 27. Full-profile Rating-based Conjoint Analysis •  Display series of product profiles •  Typically rated on a likelihood to purchase or preference scale
  • 28. •  Allows for the greatest variation in responses •  Most granular feedback •  Can lead to respondent fatigue •  Does not value the market as accurately as other types •  Ambiguity between rating scales Pros Cons Full-profile Rating-based Conjoint Analysis
  • 29. Laser Spine Treatment Marketing •  Goal: Develop effective $16M advertisement campaign •  Action: Conjoint survey of individuals over 50 with moderate to severe back pain •  Impact: Doubled first year expected revenue goal
  • 30. Types of Conjoint Analysis •  Choice-based •  Adaptive Choice •  Menu-based •  Full-profile Rating-based •  Self-explicated
  • 31. Self-explicated Conjoint Analysis •  Direct ask of feature and levels •  Each feature is presented separately for evaluation or elimination •  Respondents rate all remaining features according to desirability
  • 32. •  Simpler and shorter for respondents •  Fully supported within the Qualtrics platform •  Lose all interaction effects •  It is limited to features and levels that don’t include price Pros Cons Self-explicated Conjoint Analysis
  • 33. Financial Services Firm Non-price related questions: •  Who do you prefer to contact you? (Sales, customer support, marketing, etc.) •  How do you prefer to be contacted? (Phone call, text, mail, email, etc.) •  Would you like to be followed up with if not reached in first attempt (Yes, No)
  • 34. Output of Conjoint Analysis
  • 36. Qualtrics Professional Services •  150+ conjoint projects per year •  Leverages the flexibility and reach of the Qualtrics platform •  For a quote on professional services work, feel free to reach out to us at conjoint@qualtrics.com
  • 37. Qualtrics Professional Services Conjoint analysis is just one of the things the Qualtrics Professional Services team does. They're also great at: •  Voice of the Customer  •  Website Advisory Services •  Custom Dashboards •  API Integration Services •  Research Consulting •  And much, much more!