On-Demand Archive: Predictive Modeling for Annual Giving

Recorded on June 21, 2016 (75 minutes)


Applying the same techniques used by meteorologists to forecast the weather or banks to evaluate someone's creditworthiness, predictive models can help annual giving and alumni relations programs prioritize prospects and identify winning segments. Modeling can help predict which individuals are most likely to respond to an appeal, attend an event, get involved as a volunteer, sign up for recurring gifts, meet with a gift officer, and more!

Register online for your entire team to learn how to use predictive models to drive success in your annual giving and alumni relations programs. 

This recording is eligible for 1.25 points of CFRE credit.  


  • Overview of predictive modeling's purpose, terminology, processes, and applications
  • Guidelines for building your own predictive models either in-house or by outsourcing
  • Strategies for using predictive models to increase alumni engagement and annual giving
  • And more!
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Annual Giving Network (AGN) is the world's leading resource for annual giving programs. With a community of over 40,000 professionals, we bring the industry's top experts and current best practices to educational and nonprofit institutions through training webinars, workshops, research, publications, consulting and recruiting services. For more information, visit AnnualGiving.com.

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Ryan Bersani

About the Presenter

Ryan Bersani is the Senior Data Analyst at the Massachusetts Institute of Technology (MIT) where he champions the use of analytics to support strategic decision making within all areas of the Alumni Association including the Annual Fund. Previously he worked as a Data Analyst and Online Giving Manager in the Office of Annual Giving at Boston University and as a Mathematics Teacher at Boston College High School. An active speaker with CASE, he holds a degree in Mathematics from Boston University.