Predicting season ticket holder retention using rich behavioral data
Adam Karg, Ali Tamaddoni, Heath McDonald, Michael Ewing
| Year of publication: |
2021
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| Authors: | Karg, Adam ; Tamaddoni, Ali ; McDonald, Heath ; Ewing, Michael |
| Published in: |
Journal of sport management : the official journal of the North American Society of Sport Management. - Champaign, Ill. : Human Kinetics Publ., ISSN 0888-4773, ZDB-ID 1052907-X. - Vol. 35.2021, 5, p. 426-439
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| Subject: | churn prediction | loyalty | machine learning | professional sport teams | season ticket holders | Profisport | Professional sports | Beziehungsmarketing | Relationship marketing | Fußball | Football | Künstliche Intelligenz | Artificial intelligence | Konsumentenverhalten | Consumer behaviour | Sportmarketing | Sports marketing | Prognoseverfahren | Forecasting model | Saisonale Schwankungen | Seasonal variations |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1123/jsm.2020-0190 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012651050