Segmentation of life insurance customers based on their profile using fuzzy clustering
Abstract: In the current competitive environment, companies will be able to adjust business strategies, they use market segmentation based on practical ways rather than using traditional approaches or incomplete and impractical mass marketing. In recent years, mining has gained attention and popularity in the business world. The goal of data mining projects is to convert the raw data into useful information. Clustering can also be used to explore differences in attitudes and intentions of the clients. In this study, we used fuzzy clustering on 1071 life insurance customers during March to October 2014. Results show that the optimal number of clusters was 2 which were named as "investment" and "life safety". Some suggestions are presented to improve the performance of the insurance company
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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Veröffentlichungsversion
begutachtet (peer reviewed)
In: International Letters of Social and Humanistic Sciences (2015) 61 ; 17-24
- Classification
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Soziale Probleme, Sozialdienste, Versicherungen
- Event
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Veröffentlichung
- (where)
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Mannheim
- (when)
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2015
- Creator
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Jandaghi, Gholamreza
Moradpour, Zahra
- DOI
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10.18052/www.scipress.com/ILSHS.61.17
- URN
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urn:nbn:de:101:1-2019072814341084959719
- Rights
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Open Access; Open Access; Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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25.03.2025, 1:46 PM CET
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Jandaghi, Gholamreza
- Moradpour, Zahra
Time of origin
- 2015
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