Photo by Markus Spiske on Unsplash
As COVID-19, natural disasters, political scandal and social unrest has roiled 2020, it’s no surprise that many are seeking to look to the future. While technically impossible, predictive modeling can help us discover patterns in member behavior and even predict their future actions.
Thomas Altman and Dray McFarlane, predictive analytics experts and co-founders of Tasio, are joining us on Sept. 10th for “How to predict and prevent member churn,” a free workshop where you’ll learn how to predict which members are likely to leave your organization, and what you can do to prevent this.
With a goal to bring advanced data science techniques to associations, Altman utilized his graduate degree in applied data and modeling techniques everyday through his work with Tasio. Likewise, McFarlane has used his expertise for over a decade to provide associations with technology solutions. Together, the two will provide a simple Microsoft Excel workbook, which you can use with your association’s existing data to predict the likelihood a member will leave — and how big of a discount you might be able to give them to convince them to stay. Altman and McFarlane will give association professionals the tools and skills needed to predict and prevent member churn in their organizations.
Retaining your members doesn’t need to be difficult. Learn how to simplify your efforts by clicking here to attend our workshop, ask important questions and connect with likeminded association professionals looking to streamline their membership retention.