Abstract:
The process of categorising customers is traditionally based on simple slotting procedures or more extensive survey data. The first procedure might be inaccurate and/or uncertain, the latter complicated, time- consuming, and most of all expensive. It was therefore a prioritised objective for Telenor Mobil, to try to compose an algorithm to predict customer segments in a more straight forward and smooth way, based on easily accessible data. That is, to be able to predict segment membership among all subscribers in the customer database, based on already registered variables.
Research Papers
Adapting products to preference profiles
Catalogue: Seminar 1996: Telecommunications In A Dynamic Market Place
Authors: Harald Djupvik, Svein Roar Hult, Jon Martin Denstadli
 
June 15, 1996
Research Papers
Modelling with neural nets
Catalogue: ESOMAR Congress 1998: The Power Of Knowledge
Authors: Pierre Marie Windal, Nathalie Gouenard, Christine Oneto
 
September 1, 1998
Research Papers
Customer segmentation for the automobile market
Catalogue: ESOMAR Congress 1997: Learning From The Future
Authors: Gerard Yahiaoui, Pierre Da Silva Dias, Marie de Saint Blancard
 
September 1, 1997
