COLLABORATIVE RESEARCH: Optimizing Direct-Marketing Strategies in Non-Profit Fundraising: An Integrated Framework for Segmentation, Estimation and Control

Project: Research project

Project Details

Description

This project proposes an integrated framework that innovatively combines finite mixture models andMarkov
decision processes to provide insights into links between fund-raising decisions and their impact on the
performance of not-for-profit organizations This research is motivated by (i) the funding pressures facing
non-profits as a result of the economic crisis of 2008 and the ensuing recession, (ii) higher service needs
from the public and higher (efficiency and effectiveness) expectations from donors, (iii) changes in technology
that allow non-profits to inexpensively collect vast amounts of donor data and, thereby, the need
for a comprehensive framework to exploit this newly available information to optimize direct-marketing
strategies.
StatusFinished
Effective start/end date8/1/137/31/17

Funding

  • National Science Foundation (CMMI-1335104)

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