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.
WHAT YOU'LL DISCOVER
ANNUAL GIVING NETWORK
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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.
On-Demand Archive: Predictive Modeling for Annual Giving
Recorded on June 21, 2016 (75 minutes)