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2011
Conference Paper
Titel

LSI based profitability prediction of new customers

Abstract
This study investigates the impact of website information from existing business customers of a company on the prediction of the profitability of new business customers. Estimating the profitability of new customers is a well-known problem in acquisition management. Thus, the results of this study can be used to advance the acquisition process of a company. A methodology is provided and the acquisition process of a mail order company is supported by use of this methodology. This case study shows that information of existing customers' websites can be used as successful classifier by modeling the profitability prediction. Thus, new profitable business customers can be acquired by the company.
Author(s)
Thorleuchter, D.
Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT
Poel, D. van den
Ghent University, Faculty of Economics and Business Administration
Prinzie, A.
Ghent University, Faculty of Economics and Business Administration
Hauptwerk
Data mining for marketing
Konferenz
International Workshop on Data Mining for Marketing (DMM) 2011
International Conference on Data Mining (SDM) 2011
DOI
10.24406/publica-fhg-371331
File(s)
001.pdf (224.22 KB)
Language
English
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Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT
Tags
  • text mining

  • web mining

  • information extractio...

  • classification

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