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Data and AI: Driving Revenue-Growth for Sports Organizations

In: Diversify or Die

Author

Listed:
  • Marc Mazodier

    (ESSEC Business School)

Abstract

This chapter positions AI-driven monetization not only as an efficiency play but as a strategic lever of diversification within core revenue structures. It highlights a shift from mass-market broadcasting toward personalized, data-rich business models that deepen fan relationships and unlock new value. The author explores enhanced fan experience, dynamic ticket pricing, personalized merchandise strategies, sophisticated sponsorship measurement, and smart stadium technologies. He demonstrates how sports organizations achieve significant engagement improvements implementing AI-powered fan relationship management. Strategic implementation requires data literacy, strong infrastructure, and compliance with privacy standards. Effective monetization depends on organizational transformation that combines technology, culture, and fan trust. This chapter contributes to understanding sustainable advantage in an increasingly data-driven sports industry.

Suggested Citation

Handle: RePEc:spr:fuobcp:978-3-032-08538-2_7
DOI: 10.1007/978-3-032-08538-2_7
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