Working with a data set from Marketing EDGE, researchers from the University of Texas at Austin devised a method to predict whether someone who never donated to a particular charity before is likely to donate. Shameek Sinha, PhD 2011, and McCombs School of Business Professors Frenkel Ter Hofstede and Vijay Mahajan released findings from their article-in-progress. Their new predictive model shows that while past donation behavior is typically considered the best predictor, community data can be used instead, i.e., certain communities have proven more likely to give.  Here’s a link to the full article: Such work provides charities with yet another way to improve their fundraising efficiency. 

Academic researchers are in need of data for teaching and research purposes, and Marketing EDGE fills that void with anonymous data donated by corporations. Academic research can yield profitable bottom-line results, Please consider donating one or more data sets to our Dataset Library for academic use. .  Interested in donating data sets?  Contact Marie Adolphe at .