Student Success Modeling

What factors drive first year retention at your institution? Academic, geodemographic, socioeconomic, financial, or a combination? Every institution is different—we uncover the distinctive factors impacting retention at your institution and build a strategy that leverages that data for student success. Student success leads to institutional success – everyone wins when student success is an intrinsic part of your financial aid strategy.

Minimize Melt

Identify enrolled students who are at risk for attrition. Our team can build models that identify which deposited students are most likely to melt each summer, helping you focus outreach and aid resources.

Maximize Student Success

You know that recruiting students who persist beyond year one leads to positive, long-term outcomes for both your institution and your students. Building an aid strategy focused on student success is a win for everyone.

On-going Monitoring

Our approach to financial aid strategy is to build custom models from the ground up, accounting for shifts in market forces and student behaviors which change year to year. Our models are flexible and constantly monitored by our experts for in-cycle optimization.

“Santa Clara University has been collaborating with Carnegie for over 15 years. I continued the relationship upon my arrival at Santa Clara in 2009 and they have been critical to our success this past decade. Their data analysis and predictive modeling help us plan our segmented admission targets with plenty of back-and-forth adjustments. The financial aid office, through the Carnegie process, is able to get our aid awards posted within two days after the admission decisions are released. That, in turn, allows them to focus more time working with students and families.” MIKE SEXTON
Vice President for Enrollment Management
Santa Clara University

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