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Building the Knowledge Base of Nonprofit Management:
A Searchable Database
Predictive Models for Annual Fundraising and Major Gift Fundraising
Abstract
For most nonprofit organizations, the selection process for
determining the best individual prospects for capital campaigns or
annual fund drives are ad hoc & intuitive. Here, two statistical
models developed from the alumni database (N = 190,000) at
Northwestern U (Ill) are presented for both major gifts & annual
fund prospects. One model predicts which individuals will give
$100,000+ over three years, & the other, $1,000+. The analysis
combines geodemographic data with the internal data typically found in
alumni databases. A metric is presented to test the viability of the
models when compared to single-criterion models. Findings show that
past giving is the strongest single factor in predicting future
giving. However, full models provide superior overall results. 2
Tables, 6 Figures, 5 References.
Journal
(1992)
vol3
no1
pages43-64
Categories
-
Fundraising
