• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. LSI based profitability prediction of new customers
 
  • Details
  • Full
Options
2011
Conference Paper
Title

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, Dirk  
Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT  
Poel, Dirk van den
Ghent University, Faculty of Economics and Business Administration
Prinzie, A.
Ghent University, Faculty of Economics and Business Administration
Mainwork
Data mining for marketing  
Conference
International Workshop on Data Mining for Marketing (DMM) 2011  
International Conference on Data Mining (SDM) 2011  
File(s)
Download (224.22 KB)
Rights
Use according to copyright law
DOI
10.24406/publica-fhg-371331
Language
English
Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT  
Keyword(s)
  • text mining

  • web mining

  • information extraction

  • classification

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024