Case Study: HAI Analytics achieves improved student retention and increased net tuition revenue with Alteryx

Predicting and Improving Student Retention

HAI Analytics partnered with tuition‑dependent colleges facing the twin challenges of stagnant retention and limited financial aid budgets. Using institution admissions, financial aid, engagement and third‑party data, the team sought to help schools predict first‑to‑second year retention and model how different financial aid strategies would affect headcount, class composition and net tuition revenue.

Using Alteryx Designer they built predictive models and a reusable analytic workflow that scored each student’s retention probability, then simulated both a blanket increase in aid and a targeted increase to the 20% most at‑risk students. Results showed a modest retention lift from broad increases but a larger improvement and a net tuition revenue gain when aid was focused on the most vulnerable students; the workflow was converted into an easy, code‑free analytic app so administrators can test aid scenarios and produce dynamic reports.

HAI Analytics

Jen Cox

Co-Founder