Conjoint Analysis - Introduction and Basic Methodology Flashcards

Introduction to Conjoint

1
Q

What are the potential purposes of a conjoint analysis?

A

Product Design, Pricing, Product Entry Selection, Market Simulation

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2
Q

How would you measure consumer preferences?

A

Surveys

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3
Q

How would you use the preference data?

A

To see the utility of various attributes and design/price/release products off of that

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4
Q

What is the output of a conjoint?

A

Respondent’s value system (utility)

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5
Q

What are the key advantages of a conjoint?

A
  1. Avoids Everything is Important
  2. Reveals consumer’s “true” wants and needs
  3. Measure preference on individual, segment or market levels
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6
Q

How do you determine the total value of a product?

A

sum the sub-values (partworths)

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7
Q

A product is a bundle of….

A

attributes

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8
Q

A consumer prefers the product that delivers the….

A

greatest total value to him/her

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9
Q

What do you calculate with Part-worths?

A
  1. utlity and choice prediction
  2. assess attribute importance
  3. assess willingness-to-pay (WTP) for attribute levels
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10
Q

Profiles definition

A

The possible products that you can make with the attribute levels

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11
Q

Partworth definition

A

normalized utility (dorothy’s deduced definition)

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12
Q

How to calculate attribute importance weight?

A
  1. Calculate the partworth range.
  2. sum all of the partworths.
  3. divide partworth per each attribute by the sum of each partwoth
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13
Q

How to calculate the dollar value of a utility? (in order to determine the WTP of one product over another)

A

(Price range)/(Utility range for price) = price per a utility

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14
Q

What is a regression in conjoint used for?

A

use regression to determine the partworth which is later used for determineing the utility of each profile

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15
Q

What does CBC stand for?

A

Choice-Based Conjoint

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