Iván Clavel San Emeterio1, Jorge García-Unanue2, Eliseo Iglesias-Soler1, Jose Luis Felipe2, Leonor Gallardo3. 1. a Department of Physical Education and Sport Science, Faculty of Sport Sciences and Physical Education , University of A Coruña , A Coruña , Spain. 2. b School of Sports Science, Universidad Europea de Madrid , Madrid , Spain. 3. c Department of Physical Activity and Sport Science, Faculty of Sport Sciences of Toledo , University of Castilla La Mancha , Toledo , Spain.
Abstract
RESEARCH QUESTION: The increase of physical exercise in fitness centres has turned these facilities in important active lifestyle promoters. However, only between 30% and 60% of subscribers still linked to the sports centre after a year. The aim of this study is to design a model to predict the drop out in fitness centres. RESEARCH METHODS: Monthly data corresponding to the actual behaviour of 14,522 members of three sport centres in Spain were recorded over the course of one year. In order to calculate the likelihood of drop out, logistic regressions were used to create predictive models for each centre. RESULTS AND FINDINGS: It was possible to predict abandonment of users of sport centres from their historical behaviour, although the predictive models obtained for each centre were not completely coincident. The effectiveness of the models was around 70%. IMPLICATIONS: The analysis of users' behaviour in a fitness centre can allow to avoid the drop out and therefore the abandonment of physical activity. Segmenting the customers based on the likelihood of drop out may be useful for improving the effectiveness of the strategies of loyalty and for optimizing the organization of human and material resources.
RESEARCH QUESTION: The increase of physical exercise in fitness centres has turned these facilities in important active lifestyle promoters. However, only between 30% and 60% of subscribers still linked to the sports centre after a year. The aim of this study is to design a model to predict the drop out in fitness centres. RESEARCH METHODS: Monthly data corresponding to the actual behaviour of 14,522 members of three sport centres in Spain were recorded over the course of one year. In order to calculate the likelihood of drop out, logistic regressions were used to create predictive models for each centre. RESULTS AND FINDINGS: It was possible to predict abandonment of users of sport centres from their historical behaviour, although the predictive models obtained for each centre were not completely coincident. The effectiveness of the models was around 70%. IMPLICATIONS: The analysis of users' behaviour in a fitness centre can allow to avoid the drop out and therefore the abandonment of physical activity. Segmenting the customers based on the likelihood of drop out may be useful for improving the effectiveness of the strategies of loyalty and for optimizing the organization of human and material resources.
Entities:
Keywords:
Exercise; abandonment; current behaviour; prediction; sport management
Authors: Flávio Augustino Back; Adriano Akira Ferreira Hino; Wilynson Gomes Bojarski; João Manoel Gonçalves Aurélio; Cláudia Roberta de Castro Moreno; Fernando Mazzilli Louzada Journal: Sport Sci Health Date: 2022-06-20
Authors: Victor Hugo de Oliveira Segundo; Grasiela Piuvezam; Kesley Pablo Morais de Azevedo; Humberto Jefferson de Medeiros; José Carlos Leitão; Maria Irany Knackfuss Journal: Medicine (Baltimore) Date: 2019-09 Impact factor: 1.817