customerRetentionDemographics


  Demographics Data for Customer Retention (Chapter 4)


datasets

Data Sets for Kumar and Petersen (2012).
Statistical Methods in Customer Relationship Management,
Wiley: New York.

Tobias Verbeke

SMCRM

Data Sets for Statistical Methods in Customer Relationship
Management by Kumar and Petersen (2012).

customerRetentionDemographics function

Data frame with the following 8 variables
<dl>
  <dt><code>customer</code></dt><dd>customer number (from 1 to 500)</dd> <dt><code>gender</code></dt><dd>1 if the customer is male, 0 if the customer is female</dd> <dt><code>married</code></dt><dd>1 if the customer is married, 0 if the customer is not married</dd> <dt><code>income</code></dt><dd>1 if income < \$30,000
                2 if \$30,001 < income < \$45,000
                3 if \$45,001 < income < \$60,000
                4 if \$60,001 < income < \$75,000
                5 if \$75,001 < income < \$90,000
                6 if income > \$90,001</dd> <dt><code>first_purchase</code></dt><dd>value of the first purchase made by the customer in quarter 1</dd> <dt><code>loyalty</code></dt><dd>1 if the customer is a member of the loyalty program, 0 if not</dd> <dt><code>sow</code></dt><dd>share-of-wallet; the percentage of purchases the customer makes from the
             given firm given the total amount of purchases across all firms in that
             category</dd> <dt><code>clv</code></dt><dd>discounted value of all expected future profits, or customer lifetime value</dd> </dl>

customerRetentionDemographics: Demographics Data for Customer Retention (Chapter 4)

Description

Usage

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Examples