Reduce member churn with predictive analytics

In an ideal world, association members would remain highly engaged and renew every year. 

Unfortunately, that’s not usually how it goes. How can we find those at-risk members to take action leading up to renewal? How can we understand the tendencies and motivations of those who renew and those who lapse? 

Analytics and data science for associations

In this presentation, Fíonta and partner Association Analytics, shared how data science and predictive analytics tools can inform your member retention and renewal efforts.

In this on-demand webinar, we:

  • Cover common methods to measure member engagement
  • Talk about how predictive analytics tools can complement your membership retention efforts
  • Give you some pointers on how to get started.


Katy Burns
Senior Salesforce Consultant, Fíonta
Katy, a licensed CPA, serves as CFO at Fíonta and is responsible for finance, accounting, compliance, corporate systems, and vendor relations. While she began her career in public accounting for multi-national corporations, Katy always intended to redirect her experience in support of nonprofits. When Katy first learned about Fíonta, she was drawn to the company’s mission to help impact-driven organizations leverage technology as a force for change.

A data nerd at heart, Katy pursued a Masters in Business Analytics from Notre Dame in 2019. Katy believes in the power and importance of making data-driven decisions and driving impact through data storytelling. This foundation underscores her approach to all internal and external consulting.