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AI for higher education

Predictive analytics in higher education is a hot-button topic among educators and administrators, as well as department heads across every institution. Two recent surveys asked colleges how they use data in their decision making and less than half of responding schools said they were engaging in predictive analytics. This directly impacts the cost of recruiting applicants and yielding a socio-economically diverse student body. This is borne out in the data where four-year private colleges spent a median of $2,433 recruiting each new freshman. Where institutions enrolled a student using predictive analytics, on the other hand, they spent $457 per new student. AI is the critical technology needed to enable admissions office to yield a student body that matches the institution's goals.

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  1. Acquire

    How can we better target to the right students for us, considering family income, educational interest, ability for financial aid and diversity? Let us share use our tools with you to determine the right target demographic.

  2. Convert

    Let's work together to find the applicants that are most likely to attend, reduce your acquisition cost, and provide the quality of student you're seeking.

  3. Engage

    We can target successful alumni/alumnae that are most likely to donate.

  4. Retain

    As the nature of education changes, student attrition has become a growing problem for schools nationwide. Understand which students are at risk so you can take proactive retention action.

  5. Revive

    Where are you losing dedicated alumni donors? We can find when to reactivate their interest at the right time.

The Faraday platform is core to our operations and has helped reduce costs and increase efficiency

Chief Commercial Officer, finance industry