Estimating a customer churn model in the ADSL industry in Portugal: The use of a Semi-Markov model

Detalhes bibliográficos
Autor(a) principal: Portela, S.
Data de Publicação: 2016
Outros Autores: Menezes, R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/24430
Resumo: Customer churn has been stated as one of the main reasons of profitability losses in the telecommunications industry. As such, it seems critical to have an a priori knowledge about the risk of a given customer to churn at any moment, in order to take preventive measures to avoid the defection of potentially profitable customers. This study intends to develop a duration model of the residential customer churn in this industry in Portugal. We found empirical evidence that the variables that influence customer churn are the total number of overdue bills since ever, average monthly spending, average value of additional internet traffic, payment method, equipment renting, and the subscription of a flat plan. We also found that the probability of a customer to churn is neither constant over time nor across customers.
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spelling Estimating a customer churn model in the ADSL industry in Portugal: The use of a Semi-Markov modelDuration modelsSemi-Markov modelsCustomer churnCustomer retentionCustomer managementCustomer churn has been stated as one of the main reasons of profitability losses in the telecommunications industry. As such, it seems critical to have an a priori knowledge about the risk of a given customer to churn at any moment, in order to take preventive measures to avoid the defection of potentially profitable customers. This study intends to develop a duration model of the residential customer churn in this industry in Portugal. We found empirical evidence that the variables that influence customer churn are the total number of overdue bills since ever, average monthly spending, average value of additional internet traffic, payment method, equipment renting, and the subscription of a flat plan. We also found that the probability of a customer to churn is neither constant over time nor across customers.Graduate College of Management, Sripatum University2022-02-03T16:09:37Z2016-01-01T00:00:00Z20162022-02-03T16:08:13Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/24430eng2408-1914Portela, S.Menezes, R.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:42:09Zoai:repositorio.iscte-iul.pt:10071/24430Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:19:41.554682Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Estimating a customer churn model in the ADSL industry in Portugal: The use of a Semi-Markov model
title Estimating a customer churn model in the ADSL industry in Portugal: The use of a Semi-Markov model
spellingShingle Estimating a customer churn model in the ADSL industry in Portugal: The use of a Semi-Markov model
Portela, S.
Duration models
Semi-Markov models
Customer churn
Customer retention
Customer management
title_short Estimating a customer churn model in the ADSL industry in Portugal: The use of a Semi-Markov model
title_full Estimating a customer churn model in the ADSL industry in Portugal: The use of a Semi-Markov model
title_fullStr Estimating a customer churn model in the ADSL industry in Portugal: The use of a Semi-Markov model
title_full_unstemmed Estimating a customer churn model in the ADSL industry in Portugal: The use of a Semi-Markov model
title_sort Estimating a customer churn model in the ADSL industry in Portugal: The use of a Semi-Markov model
author Portela, S.
author_facet Portela, S.
Menezes, R.
author_role author
author2 Menezes, R.
author2_role author
dc.contributor.author.fl_str_mv Portela, S.
Menezes, R.
dc.subject.por.fl_str_mv Duration models
Semi-Markov models
Customer churn
Customer retention
Customer management
topic Duration models
Semi-Markov models
Customer churn
Customer retention
Customer management
description Customer churn has been stated as one of the main reasons of profitability losses in the telecommunications industry. As such, it seems critical to have an a priori knowledge about the risk of a given customer to churn at any moment, in order to take preventive measures to avoid the defection of potentially profitable customers. This study intends to develop a duration model of the residential customer churn in this industry in Portugal. We found empirical evidence that the variables that influence customer churn are the total number of overdue bills since ever, average monthly spending, average value of additional internet traffic, payment method, equipment renting, and the subscription of a flat plan. We also found that the probability of a customer to churn is neither constant over time nor across customers.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01T00:00:00Z
2016
2022-02-03T16:09:37Z
2022-02-03T16:08:13Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/24430
url http://hdl.handle.net/10071/24430
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2408-1914
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Graduate College of Management, Sripatum University
publisher.none.fl_str_mv Graduate College of Management, Sripatum University
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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