High Level Data and Tools

Question 1

Cluster Analysis Data

Answer 1

Needs Variable (Preference)

Question 2

Cluster Application

Answer 2

Segmentation of Customer

Question 3

Discriminant Analysis Data

Answer 3

Descriptor Variables (Observable)

Question 4

Discriminant Analysis Application

Answer 4

Describing customer Segment

Question 5

Classification Analysis Data

Answer 5

(new) Descriptor Variables + Previous Cluster/Discriminant ansalysis

Question 6

Classification Analysis Application

Answer 6

Identifying New Customer Segments w/out New Basis Variables

Question 7

Logit/Choice Model Data

Answer 7

Past Choice Data (Choice + Environmental, Individual Descriptor Variables)

Question 8

Logit/Choice Model Application

Answer 8

Behavioral Targeting, Banner Ad Targteing, Conjoing (CBC), Digital/Online Behavior

Question 9

Perceptual Mapping Data

Answer 9

Survey Data on Perceptions of Brand

Question 10

Perceptual Mapping Application

Answer 10

Positioning

Question 11

Preference Mapping Data

Answer 11

Survey on Brand Preferences

Question 12

Preference Mapping Application

Answer 12

Positioning and Crude Market Share Analysis

Question 13

Conjoint Analysis Data

Answer 13

Survey Data on Choices

Question 14

Conjoint Analysis Application

Answer 14

Product Design, Pricing, Product Entry Selection, Market Simulation

Question 15

Demand Estimation Data

Answer 15

Aggregate Sales/Pricing Data + other Environmental Variables

Question 16

Demand Estimation Application

Answer 16

Estimating Price Sensitivity, Optimal Pricing of Existing Products

Question 17

Gabor-Granger Model Data

Answer 17

Survey Data on Purchase Intentions

Question 18

Gabor Granger Model Applications

Answer 18

Optimal Pricing of New products