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Statistical Methods in Customer Relationship Management
book

Statistical Methods in Customer Relationship Management

by V. Kumar, J. Andrew Petersen
September 2012
Intermediate to advanced
286 pages
8h 7m
English
Wiley
Content preview from Statistical Methods in Customer Relationship Management

4.5 Cross-buying

Cross-selling is the most common technique companies use to increase the repeat purchase incidence, quantity, and revenues to companies. After companies have built a certain level of loyalty with existing customers, these customers are more likely to cross-buy from the company. Verhoef and Donkers [5] studied the effect of acquisition channels on cross-buying. The acquisition channels examined included mass media, direct marketing, the Internet, personal selling, intermediaries, and word of mouth. For customers who were retained, cross-buying was coded as a binary variable. These authors modeled cross-buying in a probit model and acquisition channels were included as dummy variables.

4.5.1 Empirical Example: Cross-buying

Another key question we want to answer with regard to customer retention is whether we can determine which customers have the highest likelihood of cross-buying in multiple categories. To do this we first need to know which current customers actually purchased in multiple categories when they made a purchase. In the dataset provided for this chapter we have a variable Crossbuy which identifies how many categories of products a customer purchased in a given time period. We also provide a set of drivers which are likely to help explain a customer's decision to cross-buy. At the end of this example you should be able to do the following:

1. Identify the drivers of customer cross-buying behavior.
2. Interpret the parameter estimates from the cross-buying ...
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Publisher Resources

ISBN: 9781118349199Purchase book