Monitoring and backtesting churn models
Monitoring and backtesting churn models
The evaluation of the relationship with the customer and related benefits has become a key point for a company’s competitive advantage. The development of customer churn models has increased over the years. However, these models tend to be complex and used on demand, being developed every time the customer analysis is requested. The main contribution of this article is to demonstrate how a backtesting framework can be used for churn evaluation, enabling the validation and monitoring process for the generated churn models.
backtesting, data mining, churn, monitoring
975-982
Lima, E.
238ecc65-2bc4-4826-91d9-b712baaf0cd2
Mues, C.
07438e46-bad6-48ba-8f56-f945bc2ff934
Baesens, B.
f7c6496b-aa7f-4026-8616-ca61d9e216f0
January 2011
Lima, E.
238ecc65-2bc4-4826-91d9-b712baaf0cd2
Mues, C.
07438e46-bad6-48ba-8f56-f945bc2ff934
Baesens, B.
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Lima, E., Mues, C. and Baesens, B.
(2011)
Monitoring and backtesting churn models.
Expert Systems with Applications, 38 (1), .
(doi:10.1016/j.eswa.2010.07.091).
Abstract
The evaluation of the relationship with the customer and related benefits has become a key point for a company’s competitive advantage. The development of customer churn models has increased over the years. However, these models tend to be complex and used on demand, being developed every time the customer analysis is requested. The main contribution of this article is to demonstrate how a backtesting framework can be used for churn evaluation, enabling the validation and monitoring process for the generated churn models.
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Published date: January 2011
Keywords:
backtesting, data mining, churn, monitoring
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Local EPrints ID: 162193
URI: http://eprints.soton.ac.uk/id/eprint/162193
ISSN: 0957-4174
PURE UUID: bb396c7a-eca3-4888-9110-73b6ab0c7e21
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Date deposited: 18 Aug 2010 11:09
Last modified: 14 Mar 2024 02:49
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Author:
E. Lima
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