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Asia Pacific Academy of Science Pte. Ltd. (APACSCI) specializes in international journal publishing. APACSCI adopts the open access publishing model and provides an important communication bridge for academic groups whose interest fields include engineering, technology, medicine, computer, mathematics, agriculture and forestry, and environment.
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The application of big data analytics in sports as a tool for personalized fan experience, operations efficiency, and fan engagement strategy
Article ID: 3075
Vol 2, Issue 1, 2025
DOI: https://doi.org/10.54517/bmtp3075
Vol 2, Issue 1, 2025
Received: 18 November 2024; Accepted: 17 January 2025; Available online: 25 January 2025; Issue release: 31 March 2025
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Abstract
In the contemporary sports industry, big data analytics [BDA] has become a cornerstone of marketing, fundamentally reshaping how sports organizations engage with their audiences by providing unprecedented opportunities for personalization and deeper fan connections. Sports organizations, by utilizing a diverse array of data sources, ranging from ticket sales and social media interactions to in-venue sensor data, can construct detailed profiles of their fanbase, facilitating highly targeted marketing strategies and personalized content that align closely with individual preferences and behaviors. This paper delves into the strategic deployment of BDA across the sports sector, emphasizing its role in customizing fan experiences, optimizing operational processes, and crafting immersive interactions that elevate fan engagement and loyalty. Adopting a theoretical approach, the research seeks to illuminate how BDA can be harnessed not only to boost fan engagement but also to streamline operational efficiencies. It further addresses the challenges and considerations that come with implementing these cutting-edge strategies and introduces a set of recommendations to successfully navigate the challenges. Through this exploration, the paper highlights the transformative impact of BDA on redefining fan interactions and engagement within the sports landscape. Ultimately, the paper underscores BDA’s transformative role in redefining fan interactions and engagement in sports, providing strategic insights for practitioners and suggesting paths for future research to further capitalize on this dynamic digital landscape.
Keywords
sports marketing; big data analytics [BDA]; personalized experience; operations efficiency; fan engagement strategies marketing strategies
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2025-04-02
Volume 2 Issue 1 (2025) Released - Toward More Efficient Business Management
We would like to inform all of our readers of the formal release of the first issue of Business and Management Theory and Practice (eISSN: 3082-8155) in 2025. This issue consists of three research articles, five review articles, and one editorial from our respected editorial board member, Dr. Jian Xu, who has been recently selected into the 2024 Elsevier "Highly Cited Chinese Researchers" list.
2025-03-27
Good News! Dr. Jian Xu Included in the 2024 Elsevier “Highly Cited Chinese Researchers” List
We are pleased to announce that BMTP’s editorial board member, Dr. Jian Xu, has been selected into the 2024 Elsevier "Highly Cited Chinese Researchers" list. This is to acknowledge his significant contribution to the field of Applied Economics.
2025-01-15
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