Predictive Modeling for Donor Acquisition
Recorded On: 08/08/2017
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OVERVIEW
Acquiring new donors can be difficult and expensive for any annual giving program. Fortunately, predictive modeling can make the challenge of converting non-donors into donors easier and more efficient. Creating and applying a simple scoring system can help you to determine which non-donors are most likely to respond to direct appeals and which marketing channels will yield the highest return for various segments.
Register now to learn how to build and apply effective predictive models to improve your new donor acquisition efforts.
This recording is eligible for 1.25 points of CFRE credit.
WHAT YOU'LL DISCOVER
- Methods for building low cost donor acquisition models in-house using Excel
- Guidelines for applying model scores to prioritize prospects and non-donor segments
- Advice for allocating your resources to each of your marketing channels based on model outcomes
- Tips for assessing the strength and effectiveness of your models and your acquisition efforts
- Examples from other institutions, and more!
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Rodger Devine
Senior Executive Director of Business Intelligence, University of Southern California
Rodger Devine is Senior Executive Director of Business Intelligence at University of Southern California, where he oversees information strategy, data analytics and leadership annual giving program development for the Dornsife College of Letters, Arts and Sciences. Prior to USC, Rodger served as the Director of Information, Analytics and Annual Giving at the Michigan Ross School of Business, where he managed information, analysis, reports and processes related to development strategy, portfolio activity and goal attainment. He received an MSI in Information Analysis and Retrieval as well as a BA from The University of Michigan.
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