College Admissions: Predicting applicant churn from the admissions process

Business Context

A leading admissions software company wanted to upgrade its offering by helping colleges to arrest churn of applicants

Key Questions

  • Who are the people that never submit application?
  • Why don’t they submit?

Impact Created

  • Created revenue potential of over $3M annually for the admissions software provider
  • Ability to predict churn of applicants from the admissions process with 95% accuracy 6 months before the churn

Solution Design

  • Variable identification and selection
  • Solutioning
  • Output

Solution Design:

Variable identification and selection:

  1. Applicant Demography
  2. Work experience
  3. Academics
  4. External Factors
  5. Application

Solutioning: Solutions Traits

  • Level Of Solution: At college
  • Time period: One year
  • Technique: CHAID, CART
  • Validation: Out of Sample and Out of time


Tags: Customer Insight | Education