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INCDM
2010
Springer

The Impact of Experimental Setup on Prepaid Churn Modeling: Data, Population and Outcome Definition

8 years 9 months ago
The Impact of Experimental Setup on Prepaid Churn Modeling: Data, Population and Outcome Definition
Prepaid customers in mobile telecommunications are not bound by a contract and can therefore change operators (‘churn’) at their convenience and without notification. This makes the task of predicting churn both challenging and financially rewarding. This paper presents an explorative, real world study of prepaid churn modeling by varying on three dimensions: data, outcome definition and population sample. Firstly, we add Customer Experience Management (CEM) data to data traditionally used for prepaid churn prediction. Secondly, we vary the outcome definition of prepaid churn. Thirdly, we alter the sample of the customers included, based on their inactivity period at the time of recording. While adding CEM parameters and varying the sample did not influence the predictability of churn, a particular change in the outcome definition had a substantial influence.
Dejan Radosavljevik, Peter van der Putten, Kim Kyl
Added 15 Aug 2010
Updated 15 Aug 2010
Type Conference
Year 2010
Where INCDM
Authors Dejan Radosavljevik, Peter van der Putten, Kim Kyllesbech Larsen
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