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Non-Credit Card Data on Membership for Fitness Industry

Seeking non-credit card data providing insights into customer KPIs for Planet Fitness and the broader fitness industry. Specifically interested in data on new customers, returning customers, and cancellations.

Author

Tiki inc.
January 29, 2025 • Reading Time: 2 minutes

$400,000 / yr.

Estimated value calculated using a combination of factors that include market size, size requirements, and scarcity. The value reflects the total across all potential buyers, and is not reflective of a single deal.

Background

Hedge funds utilizing systematic trading strategies are actively seeking new data sources to enhance their predictive models. Specifically, data on customer KPIs—such as new memberships, returning customers, and cancellations—at major gym chains like Planet Fitness can provide valuable insights into market performance. By supplying non-credit card data on customer behavior, data providers have a unique opportunity to meet this growing demand within the investment community.

Why It’s Valuable

  • Enhance Trading Models: Hedge funds can integrate fitness customer data into their systematic trading models to better predict market performance based on consumer behavior.

  • Monitor Market Trends: Membership and churn data from fitness centers serve as indicators of market shifts, helping funds assess the health of the broader fitness industry.

  • Mitigate Risk: Understanding churn and retention rates enables funds to avoid investing in companies or sectors with declining customer bases.

Requested Data

The specific data types, insights, and signals requested by the buyer. As a data vendor, you only need to supply the raw data for one or more. You can use Tiki to create and deliver the requested insights and signals from your raw data.

  • New Customer Data: Information on first-time memberships, including demographics and motivations for joining.

  • Returning Customer Data: Data that tracks customer loyalty and engagement, including the frequency of gym visits and factors driving member retention.

  • Cancellation Data: Insights into membership cancellations, such as reasons for leaving and patterns that may predict churn.

Buyer Interest

The types of data buyers who have expressed interest to Tiki and their respective use cases for this data. If you have the data required for this request, Tiki will introduce you to the buyer(s).

  • Hedge Funds specializing in systematic trading models are the primary buyers. These funds seek customer behavior data to improve their algorithmic models and predict market trends in the fitness industry.