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Monitoring the survival of subscribers in a marketing mailing list

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Monitoring the survival of subscribers in a marketing mailing list

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dc.contributor.author Marletta, Andrea es_ES
dc.date.accessioned 2022-11-10T13:00:46Z
dc.date.available 2022-11-10T13:00:46Z
dc.date.issued 2022-09-20
dc.identifier.isbn 9788413960180
dc.identifier.uri http://hdl.handle.net/10251/189572
dc.description.abstract [EN] The statistical literature proposed many contributions about survival analysis in medical research, in this work this approach is proposed in a business context. The aim of this paper is to control the mortality of the users belonging to an e-mail subscribers list for a company operating in the healthcare information sector. Having available the survival times for each subscriber, the choice was oriented to survival models to evaluate the abandon of the customers. A survival analysis was conducted through a Cox model considering some risk factors of the subscriber. The selected Cox model carried to the identification of risk profiles representing different situations in terms of probability of abandon. es_ES
dc.format.extent 8 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022)
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Mailing list marketing es_ES
dc.subject Healthcare information es_ES
dc.subject Survival analysis es_ES
dc.subject Cox model es_ES
dc.title Monitoring the survival of subscribers in a marketing mailing list es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/CARMA2022.2022.15082
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Marletta, A. (2022). Monitoring the survival of subscribers in a marketing mailing list. En 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022). Editorial Universitat Politècnica de València. 173-180. https://doi.org/10.4995/CARMA2022.2022.15082 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CARMA 2022 - 4th International Conference on Advanced Research Methods and Analytics es_ES
dc.relation.conferencedate Junio 29-Julio 01, 2022 es_ES
dc.relation.conferenceplace Valencia, España
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CARMA/CARMA2022/paper/view/15082 es_ES
dc.description.upvformatpinicio 173 es_ES
dc.description.upvformatpfin 180 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\15082 es_ES


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