DonorSearch Introduces DonorSearch Aristotle For Higher Education
Revolutionary AI-Powered Custom Predictive Scoring and Data Visualization to drive unparalleled results for Higher Education fundraising.
DonorSearch announced DonorSearch Aristotle for Higher Education, a donor prospect analytics solution that will revolutionize fundraising for Higher Education through the power of AI/Machine Learning.
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DonorSearch Aristotle for Higher Education leverages the continuous learning capacity of AI/Machine Learning to produce custom scores and a suite of data visualization reports that accurately predict major donor generosity and drivedecisive action. As a result, DonorSearch Aristotle for Higher Education gives Higher Education fundraising organizations the power to quickly and precisely engage their most generous alumni.
“DonorSearch Aristotle for Higher Education puts the predictive precision of AI-powered analytics in the hands of universities and colleges, giving them the most direct route to unparalleled fundraising results,” says Bill TeDesco, CEO of DonorSearch. “This marriage of innovation and intelligence makes my vision for DonorSearch’s contribution to fundraising a reality .”
“DonorSearch Aristotle for Higher Education brings the unparalleled processing power of Artificial Intelligence to Higher Education fundraising. It transforms the vast amounts of alumni experience, demographic, wealth, and giving data that Universities collect into highly predictive and actionable insights,” says Nathan Chappell, Senior Vice President, DonorSearch Aristotle. “Higher Education fundraising now has the extraordinary power to target and inspire their most generous alumni.”
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Features and benefits of DonorSearch Aristotle for Higher Education include:
- Comprehensive, custom, and highly predictive prospect generosity scores effectively designate prospects for specific fundraising efforts and prioritize action.
- Data Visualization reports with drill-down and configuration capabilities to inform prospect management strategies and tactics.
- Dynamic re-scoring through the regular refresh of client data for the length of their subscription, using AI/Machine Learning to enhance predictiveness and precision of engagement.
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