Predictive Modeling for Traditional Students

What is it?

Predictive modeling is a sophisticated statistical procedure that identifies the combinations of student characteristics that are most likely to result in desired enrollment behavior. Unlike some other statistical and qualitative techniques, modeling is able to produce highly detailed, highly accurate information about the probabilities and conditions associated with identified enrollment behaviors.

More Info

 

Models can be used to serve a wide variety of enrollment management functions and have many benefits:

  • Significantly improve enrollment rates
  • Attract students well-suited to the institution
  • Conserve money on mailings and promotional materials
  • Segment communication strategies
  • Efficiently manage recruiting staff (e.g., travel, telemarketing)
  • Forecast enrollments with precision
  • Identify at-risk students
  • Understand factors leading to attrition
  • Develop appropriate interventions for student subpopulations
  • Maximize student retention

 

Model Types:

Models can be built at any stage of the enrollment process—e.g., inquiries that lead to application, applicants that lead to enrollment, enrolls that lead to retention--and can be used to develop data-driven financial and personnel initiatives that save institutions both time and money. Click below to learn more:

Fee Structure

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