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A model for the mobile market based on customers profile to analyze the churning process


Flores-Méndez, Mario Rogelio; Postigo-Boix, Marcos; Melús-Moreno, José Luis; Stiller, Burkhard (2016). A model for the mobile market based on customers profile to analyze the churning process. Wireless Networks, 22(8):1-14.

Abstract

In the current telecommunications market that is reaching high saturation levels, mobile network operators (MNOs) try to position themselves among customers through aggressive marketing campaigns and offers. In this environment where customers have multiple MNOs to choose from, different factors influence customers’ deci- sions. In addition to this, mobile number portability con- tributes to a phenomenon called churning where customers migrate from one MNO to another. Churning impacts not only the network design but also the pricing methods adopted by MNOs, and hence their revenue. It is because of this that MNOs try to reduce churn through retention campaigns. The key factor for the success of these cam- paigns is to detect potential churners before they leave the service. The state of the art has focused on proposing methods to identify churners based on data mining tech- niques, however these techniques doesn’t always offer clear explanations for churn reasons. Instead, we use a technique called agent-based modeling to model customers in the mobile telecommunication market and assess the effects of customers characteristics and behaviors on such market. We propose a model that includes some relevant demographic and psychographic characteristics and the utilizations of usage profiles to describe customers. We show with simple experiments how different factors lead to churn in different ways. We believe the proposed approach is useful because MNOs can use it for explanatory, exploratory and predictive purposes.

Abstract

In the current telecommunications market that is reaching high saturation levels, mobile network operators (MNOs) try to position themselves among customers through aggressive marketing campaigns and offers. In this environment where customers have multiple MNOs to choose from, different factors influence customers’ deci- sions. In addition to this, mobile number portability con- tributes to a phenomenon called churning where customers migrate from one MNO to another. Churning impacts not only the network design but also the pricing methods adopted by MNOs, and hence their revenue. It is because of this that MNOs try to reduce churn through retention campaigns. The key factor for the success of these cam- paigns is to detect potential churners before they leave the service. The state of the art has focused on proposing methods to identify churners based on data mining tech- niques, however these techniques doesn’t always offer clear explanations for churn reasons. Instead, we use a technique called agent-based modeling to model customers in the mobile telecommunication market and assess the effects of customers characteristics and behaviors on such market. We propose a model that includes some relevant demographic and psychographic characteristics and the utilizations of usage profiles to describe customers. We show with simple experiments how different factors lead to churn in different ways. We believe the proposed approach is useful because MNOs can use it for explanatory, exploratory and predictive purposes.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Date:4 August 2016
Deposited On:01 Sep 2016 07:43
Last Modified:08 Dec 2017 20:17
Publisher:Springer
ISSN:1022-0038
Publisher DOI:https://doi.org/10.1007/s11276-016-1334-8
Other Identification Number:merlin-id:13692

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