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.

Marletta, A., Morandi, M. (2022). Survival analysis in a business context: how to control the abandons of my subscribers. In R. Lombardo, I. Camminatiello, V. Simonacci (a cura di), Book of short papers - 10th International Conference IES 2022 - Innovation and Society 5.0: Statistical and Economic Methodologies for Quality Assessment (pp. 190-193). PKE.

Survival analysis in a business context: how to control the abandons of my subscribers

Marletta, A
;
2022

Abstract

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.
Capitolo o saggio
Survival analysis, e-mail marketing, Cox model
English
Book of short papers - 10th International Conference IES 2022 - Innovation and Society 5.0: Statistical and Economic Methodologies for Quality Assessment
978-88-94593-36-5
Marletta, A., Morandi, M. (2022). Survival analysis in a business context: how to control the abandons of my subscribers. In R. Lombardo, I. Camminatiello, V. Simonacci (a cura di), Book of short papers - 10th International Conference IES 2022 - Innovation and Society 5.0: Statistical and Economic Methodologies for Quality Assessment (pp. 190-193). PKE.
Marletta, A; Morandi, M
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/359019
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