Customer lifetime value (ClV) modeling in retail banking
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/36367 |
Resumo: | Based on regression models, simple customer’s attributes (age, income, assets and debt) - which banks usually use to identify who their most valuable customers are - were found not to be very effective at explaining and predicting customer’s Gross Income. Thus, banks are recommended to consider alternative methods. A CLV estimation model based on Markov Chains is presented and tested as a potential alternative, even though our application is still rather conceptual, with limitations which would have to be addressed in future research. Also, another methodology based on retention cohort analysis is presented, aimed at estimating CLV for individual products. |
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Customer lifetime value (ClV) modeling in retail bankingCustomer lifetime valueRetail bankingMarkov chainsRetention cohort analysisDomínio/Área Científica::Ciências Sociais::Economia e GestãoBased on regression models, simple customer’s attributes (age, income, assets and debt) - which banks usually use to identify who their most valuable customers are - were found not to be very effective at explaining and predicting customer’s Gross Income. Thus, banks are recommended to consider alternative methods. A CLV estimation model based on Markov Chains is presented and tested as a potential alternative, even though our application is still rather conceptual, with limitations which would have to be addressed in future research. Also, another methodology based on retention cohort analysis is presented, aimed at estimating CLV for individual products.Rocha, GonçaloRUNSantos, Tomás de Almeida dos2021-01-20T01:30:28Z2018-01-202018-01-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/36367TID:201862050enginfo: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:RCAAP2024-03-11T04:19:44Zoai:run.unl.pt:10362/36367Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:30:26.982503Repositório 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 |
Customer lifetime value (ClV) modeling in retail banking |
title |
Customer lifetime value (ClV) modeling in retail banking |
spellingShingle |
Customer lifetime value (ClV) modeling in retail banking Santos, Tomás de Almeida dos Customer lifetime value Retail banking Markov chains Retention cohort analysis Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
title_short |
Customer lifetime value (ClV) modeling in retail banking |
title_full |
Customer lifetime value (ClV) modeling in retail banking |
title_fullStr |
Customer lifetime value (ClV) modeling in retail banking |
title_full_unstemmed |
Customer lifetime value (ClV) modeling in retail banking |
title_sort |
Customer lifetime value (ClV) modeling in retail banking |
author |
Santos, Tomás de Almeida dos |
author_facet |
Santos, Tomás de Almeida dos |
author_role |
author |
dc.contributor.none.fl_str_mv |
Rocha, Gonçalo RUN |
dc.contributor.author.fl_str_mv |
Santos, Tomás de Almeida dos |
dc.subject.por.fl_str_mv |
Customer lifetime value Retail banking Markov chains Retention cohort analysis Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
topic |
Customer lifetime value Retail banking Markov chains Retention cohort analysis Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
description |
Based on regression models, simple customer’s attributes (age, income, assets and debt) - which banks usually use to identify who their most valuable customers are - were found not to be very effective at explaining and predicting customer’s Gross Income. Thus, banks are recommended to consider alternative methods. A CLV estimation model based on Markov Chains is presented and tested as a potential alternative, even though our application is still rather conceptual, with limitations which would have to be addressed in future research. Also, another methodology based on retention cohort analysis is presented, aimed at estimating CLV for individual products. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-20 2018-01-20T00:00:00Z 2021-01-20T01:30:28Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/36367 TID:201862050 |
url |
http://hdl.handle.net/10362/36367 |
identifier_str_mv |
TID:201862050 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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.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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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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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1799137928596684800 |