Which of the following statements about the RFM analysis above is NOT correct?A) The average response rate is 2.02%. B) Recency metric may perform better to predict responsive customers than Frequency and Mon- etary value metrics. C) The response rate of recency-based quintile 1 (4.50%) is much greater than the average re- sponse rate, implying that company X would be able to reduce the costs incurred for having a successful number of responses in the campaign if it chose the customers only from the quintile (recency-based quintile 1). D) This result shows a failure of predicting profitable customers through the RFM metrics because the response rate does not dramatically vary from monetary value-based quintile 1 to 5. Company X has a customer base of 400,000 customers. From this customer base, the company randomlypicked 40,000 customers as a sample and sent a mailer campaign of a $150 discount coupon to thesample. During the campaign, 808 customers responded - i.e., made a purchase using the coupon. Asenior marketing manager of the company conducted the RFM analysis with this sample of customers.She first sorted the sample customers in descending order based on the criterion of most recentpurchase date (denoted recency-based), the number of purchases per month in the past (denotedfrequency-based), and the dollar amount of purchases per month in the past (denoted monetary value-based). She then divided the customers into five groups (denoted quintiles 1 through 5) of equal size andcalculated the response rate of each of the recency-based, frequency-based, and monetary value-basedsorted quintiles. The result is as follows:Quintile 1Quintile 2Quintile 3Quintile 4Quintile 5Recency-4.50%2.80%1.50%1.05%0.25%based:Frequency-2.45%2.22%2.08%1.67%1.68%based:Monetary2.35%2.05%1.96%1.90%1.84%value-based:

RFM analysis is a marketing strategy that categorizes customers based on their recency of purchase…

Answered: Which of the following statements about…

Essentials of Business Analytics (MindTap Course List)

2nd Edition

ISBN:9781305627734

Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson

Publisher:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson

Chapter6: Statistical Inference

Section: Chapter Questions

Problem 44P: The Port Authority also wants to determine if the gender profile of its customers has changed since...

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Which of the following statements about the RFM analysis above is NOT correct?

A) The average response rate is 2.02%.

B) Recency metric may perform better to predict responsive customers than Frequency and Mon- etary value metrics.

C) The response rate of recency-based quintile 1 (4.50%) is much greater than the average re- sponse rate, implying that company X would be able to reduce the costs incurred for having a successful number of responses in the campaign if it chose the customers only from the quintile (recency-based quintile 1).

D) This result shows a failure of predicting profitable customers through the RFM metrics because the response rate does not dramatically vary from monetary value-based quintile 1 to 5.

Company X has a customer base of 400,000 customers. From this customer base, the company randomly
picked 40,000 customers as a sample and sent a mailer campaign of a $150 discount coupon to the
sample. During the campaign, 808 customers responded - i.e., made a purchase using the coupon. A
senior marketing manager of the company conducted the RFM analysis with this sample of customers.
She first sorted the sample customers in descending order based on the criterion of most recent
purchase date (denoted recency-based), the number of purchases per month in the past (denoted
frequency-based), and the dollar amount of purchases per month in the past (denoted monetary value-
based). She then divided the customers into five groups (denoted quintiles 1 through 5) of equal size and
calculated the response rate of each of the recency-based, frequency-based, and monetary value-based
sorted quintiles. The result is as follows:
Quintile 1
Quintile 2
Quintile 3
Quintile 4
Quintile 5
Recency-
4.50%
2.80%
1.50%
1.05%
0.25%
based:
Frequency-
2.45%
2.22%
2.08%
1.67%
1.68%
based:
Monetary
2.35%
2.05%
1.96%
1.90%
1.84%
value-based:

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