Understanding Wellness Center Loyalty Through Lifestyle Analysis

Suresh, Satya; Ravichandran, Swathi; Ganesan, P.

doi:10.1080/07359683.2011.545307

Cited by 17 publications

(11 citation statements)

References 27 publications

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“…Zaheer and Kline [ 14 ] highlight the importance of lifestyle segmentation due to its limited literature [ 14 , 20 , 21 , 27 , 28 ]. For this reason, it is possible to find works that have used the segmentation of the population according to their lifestyles in sectors as diverse as tourism, organic products, shopping centers, cinema, the financial sector [ 29 ], world fashion [ 30 ], the pharmaceutical industry [ 31 ], and even the sports sector [ 32 ]. Specifically, Suresh et al [ 32 ] claim to be able to determine the loyalty of external clients of wellness centers through marketing strategies based on segmentation according to lifestyles.…”

Section: Literature Reviewmentioning

confidence: 99%

The Promotion of Physical Activity from Digital Services: Influence of E-Lifestyles on Intention to Use Fitness Apps

Fernández

Ruíz

Puyana

et al. 2020

IJERPH

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E-Lifestyles are individual forms of behavior in the digital environment that reflect the values, activities, interests, and opinions of consumers. Likewise, fitness Apps are considered technological tools for promoting physical activity online. Although there are studies related to sports lifestyles, it has not been analyzed yet how e-lifestyles are related to the use of fitness Apps. Based on this, this study represents a step to clarify how e-lifestyles influence different relationships with perceived ease of use, perceived usefulness, attitude, and intentions to use Fitness Apps. Therefore, the objective of the study was to analyze the relationship between the e-lifestyles of consumers of Boutique fitness centers and their relationship with the perceived ease of use, the perceived usefulness, the attitude, and the intention to use Fitness Apps. The sample was 591 customers (378 women and 213 men) of 25 Boutique fitness centers. An online questionnaire was used for data collection. Data was analyzed with confirmatory factor analysis and structural equation model. Findings provide an insight into the importance of e-lifestyles in the intention of using fitness Apps and therefore in promoting physical activity through online fitness services. The results showed positive relationships between e-lifestyles, perceived ease of use, perceived usefulness and attitude toward fitness Apps. Finally, the attitude toward fitness Apps offered a very high predictive value on use intention. This study provides a better understanding of consumer´s intention to use fitness Apps. The conclusions and recommendations for sports managers of fitness centers highlight the importance of e-lifestyles as a predecessor for the use of fitness Apps.

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Section: Literature Reviewmentioning

confidence: 99%

The Promotion of Physical Activity from Digital Services: Influence of E-Lifestyles on Intention to Use Fitness Apps

Fernández

Ruíz

Puyana

et al. 2020

IJERPH

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show abstract

“…For example, this study has not differentiated the sample depending on their motivation for attending the fitness centre, in spite of the importance of not abandoning sport practice. Equally, lifestyles can influence on members loyalty in this type of sports centre (Suresh, Ravichandran & Ganesan, 2011), although in this study they have not been taken into account. We understand that these and other psychological variables like perceived quality, satisfaction or perceived value will modify the final behaviour of the individual.…”

Section: Discussionmentioning

confidence: 99%

Drop out prediction in sport centres. Definition of models and reproducibility (Predicción de bajas de clients en centros deportivos. Definición de modelos y reproducibilidad)

Clavel

García-Unanue

Iglesias-Soler

et al. 2019

Retos

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Abstract. Purpose: One of the main problems detected in the sport centre field is abandonment of physical activity by members. The aim of this estudy is to evaluate the reproducibility of predictive models of abandonment in sports centres, based on information collected through access control and the Customer Relationship Management system. Method: Monthly data corresponding to the actual behaviour of of two sport centres in Spain were recorded over the course of one year (12,545 members). Based on these variables, two predictive models were designed using the absence or permanence in the centre as an independent variable. Subsequently, the regression formula obtained was applied on all members of the same sports centres a year later (12,986 members), checking the effectiveness and reproducibility of the model. Results:. Logistic regression models based on customer historical behaviour were useful to predict abandonment. The effectiveness of the models was around 70% a year after. Conclusions: The segmentation of users based on the likelihood of drop out and the identification of behaviour variables that predict such drop out and the confirmation of the effectiveness of the predictive model, can help to optimize the design of loyalty strategies to prevent the abandonment in sport centres.Resumen. Objetivo: El abandono de la práctica deportiva por parte de clientes en centros deportivos es uno de los principals problemas en el sector. El objetivo de este estudio es evaluar la reproducibilidad de modelos predictivo de abandono en centros deportivos, basados en información recogida a través del control de accesos y el sistema Customer Relationship Management. Método: Se recopiló comportamientos mensuales de los clientes de dos centros deportivos en España durante un año (12,545 members). En base a dichas variables se diseñaron dos modelos predictivos utilizando la baja o permanencia en el centro como variable independiente. Posteriormente, se aplicó la formula de regression obtenida sobre todos los miembros de los mismos centros deportivos un año después (12,986 members), comprobando la efectividad y reproducibilidad del modelo. Resultados: Las estimaciones de regression logística fueron útiles para predecir el abandon en los centros deportivos. Además, reproduciendo el mismo modelos en una muestra diferente se consiguió aproximadamente un 70% de efectividad. Conclusiones: La segmentación de usuarios en base a la probabilidad de baja y la identificación de variables predictivas de dicha baja pueden optimizar el diseño de estrategias de prevención de abanadono en centros deportivos.

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“…The AIO-approach is a measurement instrument that is used to measure the activities, interests and opinions of consumers (Suresh et al, 2012). This approach entails providing consumers with a battery of statements that focus on their activities, interests and opinions, usually in a survey format in which they indicate on a 7-point Likert-scale whether they agree or disagree with the provided statements (Narang, 2010).…”

Section: The Aio-approachmentioning

confidence: 99%

A lifestyle analysis of the Singletons consumer segment in South Africa

Goldberg

2021

Journal of Contemporary Management

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Background:The Singletons consumer segment in South Africa is growing in size. Due to the absence of family constraints and responsibilities, Singletons have a greater level of spending power. Their high levels of disposable income enable Singletons to spend a greater percentage of their income on luxury products. Purpose of study:The growth in size and financial value of Singletons warrants further investigation. Marketers have overlooked the increasing value of this segment and have not conducted sufficient research to gain a better understanding of Singletons. The objective of this study was to conduct a lifestyle analysis of Singletons.Design/Methodology/Approach: Non-probability, convenience sampling was used. Data was collected by using a self-administrated questionnaire. A sample size of 207 respondents was realised. Cronbach-Alpha values and Confirmatory Factor Analysis (CFA) were calculated to determine the reliability and validity of the questionnaire. The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy determined the appropriateness of the factor analysis. A p-value of Bartlett's test of sphericity was calculated in order to determine whether there is sufficient correlation between the items. The means and standard deviation (SD) was derived from the responses to each lifestyle statement. Results/Findings:The results indicated that Singletons have a moderately low level of fashion-consciousne ss whilst having moderately high levels of cost consciousness, health consciousness, recreation, e-shopping preferences and career orientation.Recommendations: Due to Singletons' moderately high levels of cost, health and career consciousness, and a shared preference for e-shopping, marketers should integrate and emphasise these dimensions in their strategies, and downplay on fashion-centred messages due to the moderately low levels of Singletons' fashion consciousness. Managerial implication:The results provide marketers with a comprehensive perspective of Singletons in terms of their activities, interests and opinions (AIOs). Customised products and strategies aligned with these dimensions can be developed, and by so doing, improve profitability.

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Understanding Wellness Center Loyalty Through Lifestyle Analysis

Cited by 17 publications

References 27 publications

The Promotion of Physical Activity from Digital Services: Influence of E-Lifestyles on Intention to Use Fitness Apps

The Promotion of Physical Activity from Digital Services: Influence of E-Lifestyles on Intention to Use Fitness Apps

Drop out prediction in sport centres. Definition of models and reproducibility (Predicción de bajas de clients en centros deportivos. Definición de modelos y reproducibilidad)

A lifestyle analysis of the Singletons consumer segment in South Africa

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