Nonprofit Administration and Management Commons^™

Predictive Modeling For Non-Profit Fundraising, Qin Chen

Masters Theses, 2010-2019

The objective of this thesis is to compare the predictive performance of multiple regression, logistic regression, neural networks, and support vector machines (SVM) in identifying donors and non-donors, and predicting the amount of donations for a specific solicitation campaign using a data set from the Direct Marketing Education Foundation (DMEF). Non-Profit fundraising has benefited from the use of data-mining models to identify new donors, to re-solicit existing donors, and to increase the amount of donations from a solicitation campaign. Multiple regression, logistic regression, and neural networks have been widely used for non-profit fundraising. In this thesis the support vector machines …