Estimating a customer churn model in the ADSL industry in Portugal: The use of a Semi-Markov model
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | |
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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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) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
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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1799134756798988288 |