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APRA-WI Conference, Fall 2014

  • Wisconsin Foundation & Alumni Association, Pyle 702 Langdon Street Madison, WI 53706 (map)


Lawrence Henze, J.D., Principal Consultant, Target Analytics

Session 1

Exploring the Top of the Gift Pyramid: Principal Giving Prospect Attributes 

We know that top-of-the-pyramid prospects have access to assets and/or disposable income, but they also share other interesting characteristics. Furthermore, principal giving prospects for higher education are not completely similar to potential top-of the-pyramid donors to other types of nonprofit organizations. Finally, do not ignore planned giving prospects as principal gift donors - their characteristics are different, but their potential giving impact is significant. 

Session 2

Using Data Analytics to Revitalize Your Annual Fund 

Over the past 20 years, data mining, analytics and predictive modeling have been used to improve response rate, refine prospect/acquisition pools, and target appropriate donors for upgrades. In the process, traditional direct marketing strategies have been called into question, as data-driven strategies have succeeded beyond more traditional mass marketing approaches.


Carrick Davis, Prospect Development Analyst, Wisconsin Foundation and Alumni Association

Session 3

Thinking About Place: How Geographic Information Can Help Prospect Researchers

As more development shops bring analytics and data mining capabilities in house, a prime dilemma that analysts face is the problem of collecting wealth indicators on their entire database. Regular wealth screenings may be out of financial reach of some organizations, or an organization may only be able to screen a fraction of the entire database. Because of these challenges, using readily available validated wealth information provided in a geographic dimension is a simple solution to allow organizations to prospect and screen more efficiently. One data point recorded for almost every prospect is a home address. With nearly complete coverage in a database, leveraging spatial data can incorporate external wealth data into a database or guide segmentation for third-party wealth screenings. Analysts can use publicly available resources to introduce additional information and prospect in a new way.
Earlier Event: May 9
APRA-WI Conference, Spring 2014
Later Event: April 24
APRA-WI Conference, Spring 2015