Predictive Modeling 101 for Annual Giving
Includes a Live Event on 05/30/2019 at 1:00 PM (EDT)
Save $50 off the regular price of $345 when you register before 5/3/19 | AGN Members are FREE!
Applying the same techniques used by meteorologists to forecast the weather or banks to evaluate someone's creditworthiness, predictive models can help annual giving 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 now for your entire team to learn how to build and apply predictive models to improve your annual giving results.
WHAT YOU'LL DISCOVER
- Tips for understanding basic terminologies and uses for predictive modeling
- Guidelines and steps for building a predictive model on your own
- Tactics for applying model scores to improve prospect research and segmentation
- Methods for evaluating the effectiveness of your models
- Examples from other institutions, and more!
WHAT YOU GET
- One log-in to the LIVE webinar; invite your entire team
- Link to watch a recording of the webinar following the live event
- Your questions answered by an expert
- Copies of the presentation materials and resources
- Eligible for 1.25 points of CFRE credit
- AGN Members get FREE webinar registration. Click here to learn more.
Prefer to pay by check? Complete this form and we'll send you an invoice.
Director of Engagement Analytics, Massachusetts Institute of Technology (MIT)
Ryan Bersani is the Director of Engagement Analytics at the Massachusetts Institute of Technology (MIT) Alumni Association, where he champions the use of analytics to support strategic decision-making within all areas of the Alumni Association. Previously, he served as a Senior Data Analyst at MIT, a Data Analyst and Online Giving Manager in the Office of Annual Giving at Boston University, and a Mathematics Teacher at Boston College High School. An active speaker with CASE and incoming member of the CASE DI Board of Directors, Ryan holds a degree in Mathematics from Boston University.