Prediction of customer segments with Neural Nets

Date of publication: June 15, 1996

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.

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