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Jan 28, 2009
United States
Begins at: 1 p.m. CT
Duration: 1 hour

Click here to download the presentation slides.

Click here to download the executive brief: "Predictive Modeling Helps University Identify Major Gift Prospects".

Achieving aggressive annual fundraising goals can necessitate a more sophisticated approach to prospect identification, such as incorporating data mining. Through the Council for Advancement and Support of Education’s (CASE) Peter B. Wylie Data Mining Internship, one campaign administrator in the Krieger School of Arts and Sciences (A&S;) at The Johns Hopkins University did just this by working with SPSS Statistics Base and SPSS’ market-leading data mining workbench, Clementine, to bring A&S; closer to meeting its goals.

Attend this presentation and learn how Dan Luperchio, A&S; Campaign Administrator, created a predictive model capable of identifying the 10% of A&S; alumni most likely to become major donors and answered questions such as:

• Who are our top prospects?
• What variables predict that an alumnus will become a major donor?
• When in the lifecycle is an alumnus most likely to become a major donor?
• Where should we be spending our time?

This presentation will describe the techniques and variables used, as well as the benefits realized by applying data mining to major gift prospecting.

View the archived recording. At the SPSS - Webex site, please select "View Recording" at the bottom of the screen. You may need to download the Webex Player in order to view and listen to the recording.

Find out more, visit the organizer Web site: http://www.spss.com/vertical_markets/education/higher_education/alumni_development/index.htm