Predictive Modeling for Leadership Annual Giving
Recorded On: 09/25/2018
Building a strong leadership giving program is a priority for every annual fund, but determining which prospects to focus on can be a challenge. Predictive modeling is a tool that can be used to help guide your segmentation strategy and direct how best to allocate limited resources. By applying a simple scoring system to your prospects, you can identify which current donors have the strongest likelihood of making a leadership annual gift.
Register now for your entire team to learn how to apply predictive modeling to improve your leadership giving efforts.
This recording is eligible for 1.25 points of CFRE credit.
WHAT YOU'LL DISCOVER
- An overview of the basic terminology, tools, and uses for predictive models
- Methods for collecting and preparing data files
- Tactics for building and testing a model
- Strategies for applying scores to grow your leadership annual giving efforts
- Examples from other institutions, and more!
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Senior Executive Director for Advancement Data Operations and Strategy, University of Texas at Austin
John Gough is the Senior Executive Director for Advancement Data Operations and Strategy at The University of Texas at Austin, where he oversees the gift processing, data quality, and reporting & analytics teams. Previously, he held Data Analytics positions in Institutional Advancement at the University of Illinois at Urbana-Champaign. He has also served as an adjunct lecturer at UIUC’s School of Information Sciences and as a visiting lecturer to UT Austin’s Department of Economics. John holds an MS in Library and Information Science, Data Curation from UIUC; an MA in French Literature from NYU; and a BA in French Language & Literature from University of Utah.