decision making through conjoint analysis
DESCRIPTION
Can business decision taken purely on data go wrong? What details and techniques should be employed in market research that can capture the key aspect of consumer behavior in decision making? Absolutdata incorporates behavioral economics in decision making through conjoint analysis! A very simple presentation combining Neoclassical Economics and Behavioral Economics with Conjoint. Ask us for more details: [email protected]TRANSCRIPT
© Absolutdata 2014 Proprietary and Confidential
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April 13, 2023
Incorporating Behavioral Economics in Decision Making Through Conjoint Analysis
© Absolutdata 2014 Proprietary and Confidential 2
Agenda
2 Economics and Market Research
3 Introduction to Status Quo Bias (SQB)
4 Implication of SQB in Market Research
5 Incorporating SQB in Market Research through Conjoint Analysis
6 Results, Findings and Impact
Neoclassical Economics Behavioral Economics
1 Background
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What could have gone wrong with this business decision that was purely data driven?
The answer lies in the detail, technique employed in market research missed a key aspect of consumer behavior in decision making…… Let’s Understand
Believes in Data
Brand Manager for Yummy Cookies (YC).. Already three flavors in the market with
lots of competitors
Background
Mr. RossYC Plans to launch new
Strawberry Flavor cream Cookies
Not sure about expected market share, Mr. Ross
decides to go for Market Research through Conjoint
Analysis
Predicts 15% Market Share and decides on a $20mn investment
Actual Market Share10%
Revenue Generated$15mn
Net Loss$5mn
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Key question … Is the Neoclassical Economics based technique holistic ????
Neoclassical Economics is Key Element of Traditional Market Research Techniques
Market Research
Techniques
Conjoint Analysis
Based on Neoclassical Economics Follow statistical, analytical & quantitative
approach
A technique to capture consumer’s preferences in real life
Consumers are assumed to make rational decisions
Preference shares are calculated by maximizing utility G
over
ned
by
Neoclassical Economics
Rationality
Utility
Max
imiza
tion Cost M
inimization
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Questioning Traditional Wisdom
Do consumers always think rationally? Are there any other factors affecting consumer behavior and decision making ?
However, Behavioral Economics Plays a Key Role in Decision Making
These questions cannot be accounted for using neo – classical economics, hence an analysis done on strictly traditional lines tends to give an incomplete picture of the consumer psyche. This is where Behavioral Economics comes into play
Behavioral Economics brings in new dimensions to the traditional economic theory and studies the effects of social, cognitive and emotional factors on consumer decision making
Behavioral Economics
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Immediacy Effect (Discounting the future ): Caring more about well being now versus at a later stage
Halo Effect (Anchoring/Benchmarking):Using an initial piece of information to make subsequent judgments
Risk Aversion:Tendency of an individual to avoid Risk when making choice under uncertainty
Confirmation Bias:The tendency of individuals to favor information that confirms their beliefs or social beliefs
Status Quo Bias… How it affects Market Research???
Key Concepts in Behavioral Economics
Status Quo Bias (Loss Aversion):
Tendency of an individual to stick to current state of affairs
Attribute Priming:
The influence of prior exposure resulting in activation of consumer’s mind space to certain feature/ attribute
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Status Quo Bias is a cognitive bias that results from, • A higher preference for the current state of affairs• Change from the current status being perceived as a loss. Hence, impacts decision making
Should I buy this new product?
NO ! I will maintain my current purchase decision
Yes
Status Quo Bias in Decision Making
Holistic view of aConsumer’s Purchase Decision
Behavioral EconomicsEmotional & Cognitive
Behavior
Neoclassical EconomicsRationality & Utility
Maximization
Incorporating Status Quo Bias in research is important in order to evaluate the consumer’s purchase decision holistically
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BUT !
Accordingly…
Conjoint Analysis, a market research technique, is very commonlyused to predict shares of new products in the market
Incorporating Status Quo Bias in Market Research
In its current framework, it does not fully account for the softer aspectof consumer’s decision making such as Status Quo Bias
The following slides elaborate the approach to incorporate Status Quo Bias in Conjoint Analysis
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Typical Conjoint (CBC) Framework (without incorporation of SQB)
The propensity of selection of an absolutely new product offerings tends to be high, due to,
Out of the following product options, please indicate the option that you are most likely to purchase
Option 1 Option 2 Option 3 Option 4
Brand Brand C Brand A Brand E
None of these optionsFlavor Flavor 2 Flavor 1 Flavor 3
Price (Rs) 11 13 10
Preferred Choice o o o
Respondents are asked to choose among three product concepts and one “None”
Lower time involved in decision making
No risks involved for making a wrong choice and
Attractive presentation of the new product options in the survey
A Typical Conjoint (CBC) Framework
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Option 1 Option 2 Option 3
Brand Brand A Brand D Brand C
Flavor Flavor 1 Flavor 2 Flavor 3
Price (Rs) 11 13 8
Preferred Choice o o
Incorporation of Status Quo Bias in Conjoint – Absolutdata’s Three Step Approach
“Status Quo Bias” in Conjoint – Absolutdata’s three step approach
Which among the following is your most preferred product ?
o Brand A – Flavor 1 o Brand A – Flavor 2 o Brand B – Flavor 2o Brand C – Flavor 1 o…..
Brand B – Flavor 1Step 1 – Selecting ‘most preferred
product’ before the conjoint exercise
Step 2 – Making a choice out of the available product
concepts in a choice task
You mentioned that you will chose “Brand D – Flavor 2” if available in the market. Are you willing to replace it with “Brand B- Flavor 1” if available at the same price?
oYes oNo
Step 3 – Capturing willingness to replace ‘most
preferred product’ with conjoint
product
Step 3, which probes the respondent about willingness to replace his/her most preferred product captures the inertia of a respondent to change from the current state of affairs, hence capturing SQB
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Absolutdata’s Hypothesis – Incorporation of SQB in conjoint will lead to…
Reduction in shares of new products
Highest reduction in shares if a new brand launches a new product
Increase in shares of the market leader
But Does This Approach Really Works? Absolutdata’s Proof of Concept
Implementation of the three step approach - How did we do it?
A comparative study of Choice Based Conjoint (CBC) (control group) and conjoint with Absolutdata’s SQB framework (test group) was undertaken using an online survey
The category was chosen from amongst the packaged food industry and had a clear market leader. New entrants had a hard time drawing shares
Each product in the conjoint exercise was defined by three attributes – Brand, Flavor and Price; having six levels each
Control Group Test Group
Similar set of respondents
Administered CBC Administered Conjoint with SQB framework
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56%
18%
9%3%
13%1%
80%
2% 1% 0%
16%
0%
CBC Conjoint with SQB Framework
Product No. 1 2 3 4 5 6
Brand Brand A Brand A Brand B Brand B Brand C Brand F
Flavor Flavor 1 Flavor 2 Flavor 1 Flavor 2 Flavor 1 Flavor 6
Price ₹ 10 ₹ 12 ₹ 10 ₹ 12 ₹ 10 ₹ 10
Preference Shares
Shares of new products reduced as we moved to the SQB conjoint
Share of the market leader increased on moving to the SQB conjoint
New Brand/Flavor
New Product
Results: There is a Significant Decline in New Product Shares After Incorporating SQB
Results – Shares from Market Simulation
Forecasted shares in SQB framework tend to be very near to the actual market reality
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More Results: Other Hypothesis Also Proved Without Impacting Key Consumer Behavior
Results – Reduction in shares of New Products
Reduction in shares were the highest if a new brand launches a new flavor
S. No. Brand Flavor Price
1 Brand F Flavor 6 10
2 Brand F Flavor 1 10
3 Brand A Flavor 6 10 89%
64%
97%
% Reduction in shares
Note – Reduction measured when we look at shares from normal CBC to that of CBC with SQB framework
New Brand/Flavor
Maximum % reduction in shares
Results – Attribute Importance
The order of attribute importance was the same in both the conjoints, Brand followed by Flavor and Price, showing consistency in consumer behavior
Attribute
Brand
Flavor
Price 11%
41%
48%
17%
33%
49%
Traditional Conjoint Conjoint with SQB Framework
Attribute ImportanceAs expected ‘Brand’ comes out to be the most important attribute
Degree of importance for ‘Flavor’ is higher in Conjoint with SQB framework
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Hypothesis Verified
True False
Shares of new products were reduced
Reduction in shares was the highest if a new brand launched a new product
Share of market leader was increased
Absolutdata’s Hypothesis
Various hypothesis tested through the study were proven to be true when we moved to the conjoint with SQB framework
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Impact of Absolutdata’s Conjoint with SQB Framework Incorporated
YC Plans to launch new high fiber Cookies
Mr. Ross decides to go for Market
Research through Conjoint Analysis
Predicts 10% Market Share and decides on a $10mn
investment
Revenue Generated $12mn
Net Profit $2mn
SQB incorporated Conjoint Framework resulted in more Accurate and Realistic market shares thus resulting in higher Returns on Investment
He now knows that Consumers’ behavior
affects decision making and so goes for SQB
incorporated Conjoint Analysis
Actual Market Share9%
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Applications in Industry
There could be a Ross in any of the industries where consumers have a strong brand loyalty and deep emotional connect with their favorite products, like:
Automobiles
Cosmetics
CigarettesPackaged foods
Beverages
Relevance in different industries