Data modeling allows campaigns to build support among a universe of voters that would not be targeted using traditional methods. Modeling can sigfnificantly increase fundraising and development efforts by prospecting from a list of donor and non-donor records that have been modeled. Magellan provides data modeling services to campaigns and organizations to meet these needs. Our modeling methodology begins with a survey of 1,800 to 2,500 individuals that is designed to segment and separate sub groups of voters on issue preferences. We then process the survey data through predictive analytic software which returns confidence levels of predicting opinion preferences of individuals. The final step of the Magellan modeling process ”clusters” sub groups of individuals together producing a final list. Modeling can help you be more efficient and boost your ROI for donor prospecting or building support behind a candidate or organization.