Panel Discussion - AI in Fitness: Separating Signal from Noise with Industry Leaders - podcast episode cover

Panel Discussion - AI in Fitness: Separating Signal from Noise with Industry Leaders

Jun 14, 20251 hr 2 min
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Episode description

In this episode, Eric Malzone moderates a powerhouse panel on how artificial intelligence is reshaping the fitness industry. Featuring insights from Taylor Nakamura (Fit19), Spencer Honeyman (Vi), and Florian Sauter (EGYM), this discussion dives deep into real-world AI applications, from retention strategies to personalized training and operational efficiency. Whether you're a multi-location gym operator or a solo fitness entrepreneur, you'll walk away with actionable AI insights to help you drive member retention, increase revenue, and improve your core offerings.

🔑 Key Takeaways:

  • 🤖 AI Beyond the Buzzwords: Understand the distinction between generative AI, predictive analytics, and machine learning—and how each is driving innovation in fitness.

  • 📊 Data-Driven Retention: Learn how top operators are using third-party behavior data and AI to predict churn, prioritize outreach, and boost member retention.

  • 💼 AI for Everyone: Discover how AI is leveling the playing field—empowering even small clubs with tools once exclusive to enterprise-level fitness brands.

  • 🧠 Precision Targeting: See how companies like Vi leverage data to personalize marketing and PT upsells based on real-world consumer behavior.

  • 🧼 Operational Gains: Hear how AI helps manage online reviews and identify service trends to enhance local club operations.

  • 🏋️ Product-Centric Innovation: Explore EGYM’s data-rich approach to improving member outcomes directly on the gym floor through AI-assisted onboarding and assessments.

  • 💡 Getting Started with AI: Advice for fitness operators feeling overwhelmed—how to identify high-impact areas (like retention) and test small-scale implementations before scaling.

 

LINKS >>

https://goteamup.com/

https://podcastcollective.io/ 

https://egym.com/int

 

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