Data-Driven Donor Management - Feb 13

Leveraging Recency & Frequency Effects in Donation Behavior
with Peter Fader, co-director of the Wharton Customer Analytics Initiative and the Frances and Pei-Yuan Chia Professor of Marketing, Wharton School of the University of Pennsylvania

No two donors are alike. As professional fundraisers, our success hinges on understanding what makes each individual donor unique and identifying those most likely to support our organizations’ mission and operations.  However, there are critical yet easily overlooked behavioral differences among your donors that once identified will help you be more successful in your fundraising goals. By using the ageless “Recency, Frequency, Monetary Value” rubric, you can make the necessary distinctions to be more effective. 

Join us for this dynamic session on data-based donor management with Peter Fader and learn how you can make distinctions among your donors based on the information already available to you.  Development staff at organizations of all sizes will learn how to use their existing data to improve on their fundraising strategies.  Space is limited, register online at eventbrite.com

This event is presented by the Greater Philadelphia Cultural Alliance and the Association of Fundraising Professionals – Greater Philadelphia Chapter.

Peter S. Fader is the Frances and Pei-Yuan Chia Professor of Marketing at the Wharton School of the University of Pennsylvania. His expertise centers around the analysis of behavioral data to understand and forecast customer shopping/purchasing activities. He works with firms from a wide range of industries, such as consumer packaged goods, interactive media, financial services, retailing, and pharmaceuticals. Managerial applications focus on topics such as customer relationship management, lifetime value of the customer, and sales forecasting for new products. Much of his research highlights the consistent (but often surprising) behavioral patterns that exist across these industries and other seemingly different domains.