© 2015
Conjoint Capabilities
Conjoint Analysis
What is a “conjoint” and what can it do?
• Conjoint methodology models human selection behavior and mirrors how
individuals consider jointly-grouped attributes of a product or a service –
the process they go through when they purchase
• With a conjoint, we can determine how much value individuals place on
each attribute or element inside of a theoretical bundle
• Better/nearly-perfect products or services can be built by combining the
most highly-valued attributes
• Conjoint exercises also show what features consumers might be willing to
trade away in order to get the features they really want
• Study data can be used to create market simulations that predict the impact
of a new product offering or price changes on existing market share
www.vernonresearch.com
2
Conjoint Analysis
www.vernonresearch.com
Excellent for:
• Determining the best combinations of product or service
features
• Setting the best pricing for products or services
• Gauging brand equity
• Understanding a new product’s impact on the current
market, including potential cannibalization issues
• Finding utility values for all features tested, even those
which may be hypothetical or merely being planned
• Forecasting sales in future markets
3
Conjoint Analysis
www.vernonresearch.com
Setup for conjoint:
• “Factors” and “Levels” are determined
– Factors are general areas for examination
– Levels add detail to the factors and should reflect the range of
possibilities for the product or service
• Different brands and price levels are often included
• Factors should reflect the most important parts of the
product or service
4
Factor/Level Example
www.vernonresearch.com
Factors Levels
Manufacturer
None-
Generic
Whirlpool Frigidaire Kenmore GE Kitchen Aid
Style Freezer on top Freezer on bottom Side-by-side French doors
Available
Colors
White White and off-white
White, off-white
and black
White, off-white,
black and stainless
Additional
Features
None Icemaker in door
Filtered water
dispenser
TV monitor in door
Warranty None 1 year 3 years 5 years
Price $750 $1000 $1250 $1500 $1750 $2000 $2250
5
Choice-based Conjoint (CBC)
www.vernonresearch.com
• Respondents choose which bundle of random features they would
purchase, all else being equal.
• Respondents typically complete 8-12 sets of choices, with 3-4 product
bundles per choice.
• The maximum number of factors is generally 6.
• The maximum number of levels per factor is determined by how large the
sample will be and the number of interactions necessary between levels.
6
Adaptive Conjoint Analysis (ACA)
www.vernonresearch.com
• Instead of choice between product bundles, Adaptive Conjoint measures
respondent ratings between individual levels and groups of levels.
• This method is good for exercises with a large number of attributes/features.
• This method is also good for examining new product categories.
• This method is not suited to examine price sensitivity.
7
Adaptive CBC (ACBC)
www.vernonresearch.com
• ACBC leverages the best aspects of CBC and ACA.
• ACBC is an interactive experience, customized to the preferences and
opinions of each individual.
• This method is based on solid behavioral theory (first consider, then
choose) which directly incorporates non-compensatory decision-making to
obtain strong individual-level estimates and can even work with small
sample sizes.
• This method also provides more accurate market simulation data than CBC.
8
Menu-based Conjoint (MBC)
www.vernonresearch.com
• MBC is an advanced modeling methodology.
• MBC mimics the real-world experience of choosing among a variety
of options when configuring a preferred product.
• Studies with MBCs are useful in situations where end-users may
select pre-designed bundles as well as items a la carte.
• Respondents generally enjoy these exercises due to the freedom
provided them during the customization process.
• Examples of products and services when MBC might be preferred:
– choosing options to put on an automobile
– selections from a restaurant menu
– banking options
– configuring an insurance policy
– mobile phone plans
– home phone, Internet and/or cable bundles with options
9
Output
www.vernonresearch.com
Importance (of factors)
•The relative weight respondents
give each factor when making
purchasing decisions.
•Importance is not consciously
assigned; instead, weights are
calculated based on how each
choice decision was made.
•Importance is also additive, so
the sum total of two factors of
lesser importance may exceed a
factor of higher importance.
10
Output
www.vernonresearch.com
Utility (of levels)
•This is a measure of each
level’s usefulness on an integer
scale.
•Utility values are created
through effects coding, where the
sum of all values equals zero.
•Negative scores do not
necessarily translate into an
unattractive evaluation.
•Another way of thinking about
utility is as level preference
within the same factor.
11
Output
www.vernonresearch.com
Market simulations
•This is the most powerful tool derived from conjoint data.
•Market simulations can predict the impact on market share of new
products or new level combinations of current products.
•By changing one level of a single factor, market share gains and
losses can be measured.
•The reliability of simulations depends on how accurate the exercise
mirrored reality.
12
Market Simulation Example
www.vernonresearch.com
PRODUCTS Brand Style Colors Features Warranty Price
#1 – FreezeMaster Kitchen Aid French Door All
Filtered water
dispenser
VARIABLE VARIABLE
#2 – Penguin’s
Choice
Whirlpool French Door
White, off-white
or black
Icemaker in door 1 year $1,449
#3 – Snowbank
Pro
GE Freezer on top All
TV monitor in
door
3 years $1,699
#4 – Siberian
Huskee
Kenmore Side by side
White or off-
white
Icemaker in door 1 year $1,599
#5 – Dr. Brrrr Frigidaire Freezer on top
White, off-white
or black
None 1 year $1,149
#6 – Just a Fridge None-Generic
Freezer on
bottom
White None None $999
13
Market Simulation Example
www.vernonresearch.com
FreezeMaster with No Warranty
14
Market Simulation Example
www.vernonresearch.com
FreezeMaster with 1-Year Warranty
15
Market Simulation Example
www.vernonresearch.com
FreezeMaster with 3-Year Warranty
16
Market Simulation Example
www.vernonresearch.com
FreezeMaster with 5-Year Warranty
17
Market Simulation Example
www.vernonresearch.com
18
Conjoint Analysis Summary
Conjoint analysis is…
•a great way to determine which bundles of attributes will
make the best products or services.
•the most reliable means of determining the best price of a
product or a service.
•extremely powerful and accurate in predicting how
markets will react to modified or new products/services.
•useful in helping understand the relative importance and
usefulness of various attributes during product
development.
www.vernonresearch.com
19

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Conjoint Capabilities 2015

  • 2. Conjoint Analysis What is a “conjoint” and what can it do? • Conjoint methodology models human selection behavior and mirrors how individuals consider jointly-grouped attributes of a product or a service – the process they go through when they purchase • With a conjoint, we can determine how much value individuals place on each attribute or element inside of a theoretical bundle • Better/nearly-perfect products or services can be built by combining the most highly-valued attributes • Conjoint exercises also show what features consumers might be willing to trade away in order to get the features they really want • Study data can be used to create market simulations that predict the impact of a new product offering or price changes on existing market share www.vernonresearch.com 2
  • 3. Conjoint Analysis www.vernonresearch.com Excellent for: • Determining the best combinations of product or service features • Setting the best pricing for products or services • Gauging brand equity • Understanding a new product’s impact on the current market, including potential cannibalization issues • Finding utility values for all features tested, even those which may be hypothetical or merely being planned • Forecasting sales in future markets 3
  • 4. Conjoint Analysis www.vernonresearch.com Setup for conjoint: • “Factors” and “Levels” are determined – Factors are general areas for examination – Levels add detail to the factors and should reflect the range of possibilities for the product or service • Different brands and price levels are often included • Factors should reflect the most important parts of the product or service 4
  • 5. Factor/Level Example www.vernonresearch.com Factors Levels Manufacturer None- Generic Whirlpool Frigidaire Kenmore GE Kitchen Aid Style Freezer on top Freezer on bottom Side-by-side French doors Available Colors White White and off-white White, off-white and black White, off-white, black and stainless Additional Features None Icemaker in door Filtered water dispenser TV monitor in door Warranty None 1 year 3 years 5 years Price $750 $1000 $1250 $1500 $1750 $2000 $2250 5
  • 6. Choice-based Conjoint (CBC) www.vernonresearch.com • Respondents choose which bundle of random features they would purchase, all else being equal. • Respondents typically complete 8-12 sets of choices, with 3-4 product bundles per choice. • The maximum number of factors is generally 6. • The maximum number of levels per factor is determined by how large the sample will be and the number of interactions necessary between levels. 6
  • 7. Adaptive Conjoint Analysis (ACA) www.vernonresearch.com • Instead of choice between product bundles, Adaptive Conjoint measures respondent ratings between individual levels and groups of levels. • This method is good for exercises with a large number of attributes/features. • This method is also good for examining new product categories. • This method is not suited to examine price sensitivity. 7
  • 8. Adaptive CBC (ACBC) www.vernonresearch.com • ACBC leverages the best aspects of CBC and ACA. • ACBC is an interactive experience, customized to the preferences and opinions of each individual. • This method is based on solid behavioral theory (first consider, then choose) which directly incorporates non-compensatory decision-making to obtain strong individual-level estimates and can even work with small sample sizes. • This method also provides more accurate market simulation data than CBC. 8
  • 9. Menu-based Conjoint (MBC) www.vernonresearch.com • MBC is an advanced modeling methodology. • MBC mimics the real-world experience of choosing among a variety of options when configuring a preferred product. • Studies with MBCs are useful in situations where end-users may select pre-designed bundles as well as items a la carte. • Respondents generally enjoy these exercises due to the freedom provided them during the customization process. • Examples of products and services when MBC might be preferred: – choosing options to put on an automobile – selections from a restaurant menu – banking options – configuring an insurance policy – mobile phone plans – home phone, Internet and/or cable bundles with options 9
  • 10. Output www.vernonresearch.com Importance (of factors) •The relative weight respondents give each factor when making purchasing decisions. •Importance is not consciously assigned; instead, weights are calculated based on how each choice decision was made. •Importance is also additive, so the sum total of two factors of lesser importance may exceed a factor of higher importance. 10
  • 11. Output www.vernonresearch.com Utility (of levels) •This is a measure of each level’s usefulness on an integer scale. •Utility values are created through effects coding, where the sum of all values equals zero. •Negative scores do not necessarily translate into an unattractive evaluation. •Another way of thinking about utility is as level preference within the same factor. 11
  • 12. Output www.vernonresearch.com Market simulations •This is the most powerful tool derived from conjoint data. •Market simulations can predict the impact on market share of new products or new level combinations of current products. •By changing one level of a single factor, market share gains and losses can be measured. •The reliability of simulations depends on how accurate the exercise mirrored reality. 12
  • 13. Market Simulation Example www.vernonresearch.com PRODUCTS Brand Style Colors Features Warranty Price #1 – FreezeMaster Kitchen Aid French Door All Filtered water dispenser VARIABLE VARIABLE #2 – Penguin’s Choice Whirlpool French Door White, off-white or black Icemaker in door 1 year $1,449 #3 – Snowbank Pro GE Freezer on top All TV monitor in door 3 years $1,699 #4 – Siberian Huskee Kenmore Side by side White or off- white Icemaker in door 1 year $1,599 #5 – Dr. Brrrr Frigidaire Freezer on top White, off-white or black None 1 year $1,149 #6 – Just a Fridge None-Generic Freezer on bottom White None None $999 13
  • 19. Conjoint Analysis Summary Conjoint analysis is… •a great way to determine which bundles of attributes will make the best products or services. •the most reliable means of determining the best price of a product or a service. •extremely powerful and accurate in predicting how markets will react to modified or new products/services. •useful in helping understand the relative importance and usefulness of various attributes during product development. www.vernonresearch.com 19