Case Study: DeVry University predicts prospective student application potential with NeuraFlash and Einstein Discovery

Devry University Uses Einstein Discovery To Predict The "Potential To Apply" For Prospective Students

DeVry University, a for-profit higher education institution, faced the challenge of managing a high volume of student inquiries from numerous sources. Their admissions team lacked the ability to analyze and prioritize these prospective students effectively, making it difficult to determine where to invest in lead generation and to contact the right prospects at the optimal time.

To solve this, NeuraFlash implemented a custom Einstein Discovery model to predict a prospective student's "potential to apply." This solution allows DeVry to prioritize inquiries effectively and paves the way for using Next Best Action to give admissions agents data-driven suggestions on how to best convert leads into applications.

DeVry University