Presented by Adam Coombs, Digital Marketing Manager, Perfect Gym

Machine learning and artificial intelligence (AI) have finally arrived in the fitness management industry.

During this one-hour webinar, you’ll discover how you can use software in your facilities to feed data in to machine learning processes that will give you actionable insights on the products you sell and the classes you offer. You’ll also learn strategies to make revenue and retention predictions to inform all of your club management decisions.

Ultimately, by leveraging customer data and becoming a “smart gym,” you can get a leg up on the competition.

Learning Objectives:

  • Learn what kinds of data you need to collect from your members to achieve actionable insights.
  • Understand the tools used to collect this data.
  • See how machine learning and artificial intelligence work within club management.
  • Discover future trends for club management in terms of its growing use of machine learning and AI.

“The fitness industry is a little late to the machine learning party...but that doesn't mean it can't revolutionize the way we motivate our members and improve our clubs.”

Adam Coombs, Digital Marketing Manager

Perfect Gym – New York, NY

Presenter Profile:

Adam Coombs has long been an avid consumer of all machine learning and AI technologies since his employment at Perfect Gym. With the pending launch of Perfect Gym’s machine learning module, Coombs strives to make the listeners of his webinar fascinated with the possibilities that machine learning brings to an industry long overdue for such technology.

Webinar Format

IHRSA webinars are free for IHRSA members and $79 for non-members. Each webinar purchased will provide you with access to the live presentation of your choice for as many of your staff as you choose, plus all downloadable materials, and unlimited access to the archived webinar for 60 days. The fee includes one webinar connection and one set of handouts for unlimited attendees at one location. Instructions for connecting to these valuable webinars will be sent to registered participants 24-48 hours prior to the event.