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01. For which of the following datasets should we standardize data in doing segmentation analysis? (10 points) a. Consumer Attitudes Data towards brand on multiple
01. For which of the following datasets should we standardize data in doing segmentation analysis? (10 points) a. Consumer Attitudes Data towards brand on multiple dimensions measured on scales of 15 b. Consumer Demographic data with measures for consumers age and income. c. Both (a) and (b) above d. Neither (a) nor (b) above Question 2 Total Lifetime Value of a Customer is a function of the following (10 points): a. Economic Value b. Relationship Value (2. Both (a) & (b) above. d. Neither (a) nor (b) above. Question 3 What does the discount factor in calculating Customer- Lifetime value represent? (10 points) a. Time value for money (i.e., value of tomorrow's dollar today) b. Discount given to customers to buy from the company c. Both (a) and (b) above d. Neither (a) nor (b) above Question 4 What are the three pillars of customer centricity? (10 points) a. Identify Value, Appropriate Value, Create Value b. Identify Value, Generate Value, Create Value c. Earn Value, Appropriate Value, Generate Value d. Earn Value, Appropriate Value, Command Value Q5 Product knowledge is an example of which segmentation base in consumer markets: a. Geographic b. Demographics c. Psychographics d. Behavioral Q6 In a regression estimation what determines the unexplained variance: a. Incorrect data measurement b. Problems with the statistical analysis c. Missing predictor variables d. None of the above
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