Case Study: Sports League boosts subscriber retention and pricing optimization with Mather Economics

Sports League Company - Customer Case Study

Mather Economics worked with Sports League, a video streaming sports league with subscribers in over 100 countries, to optimize pricing across its products and improve churn scoring. The league needed a better way to understand subscriber price sensitivity, retention risk, and how to adjust pricing across seasons and product mix.

Mather Economics built predictive models for retention, churn, and price elasticity using historical subscriber data, reviewed and refined the models with the client, and applied the results to current subscribers. The league used Mather Economics’ recommendations to set acquisition and renewal pricing, improve retention, and maximize subscriber value, while integrating the pricing and churn outputs into its email marketing platform for faster testing and more responsive campaigns.