Predictive Modeling


Webinars

We believe the success of a search campaign should be defined by the number of students who apply ─ and subsequently enroll ─ rather than the traditional approach which focuses only on generating inquiries.

We target search prospects using predictive models based on your application trends for the past three years. Students are run through the model and assigned a score. We use the scores to recommend a strategic search technique, focusing on the zip code areas where you have been successful, and identifying new markets where you could be successful.

With RuffaloCODY Predictive Modeling, you’ll invest in the right names and control your purchase amount ─ decreasing costs and increasing quality right from the beginning. Not only that, but we can purchase your lists for you, freeing you from this time-consuming aspect of search.

Benefits of Predictive Modeling:

  • Increase enrollment
  • Improve response rates from search
  • Remove records that historically do not respond, thus reducing overall expense
  • Identify new markets with like populations
  • Increase inquiry-to-applicant conversion rate
  • Raise admitted-to-enrolled yield rate
  • Enhance ability to “shape the class” by reaching specific sub-objectives (diversity, quality, financial)

 

 

Enhanced Search Services

RuffaloCODY Predictive Models begin with an extensive analysis of up to three years of internal historical data. Depending on your needs, the model can be developed to accurately predict conversion at different points in the recruitment cycle, such as from inquirer to applicant.

Predictive Modeling - Relative Impact of Variables on ModelPotential Model Types:

  • Search Prospect to Inquiry
  • Search Prospect to Applicant
  • Inquiry to Applicant
  • Inquiry to Enroll
  • Applicant to Enroll

Sample Internal Data Characteristics:

  • Initial Source Code
  • Anticipated Major
  • Gender
  • Test Scores
  • GPA
  • Extracurricular Activities

Predictive Modeling - Results Inquiry To Enrollment YieldExternal Geodemographic Data:

  • Household Income
  • House Value
  • College Degree
  • Advanced Degree
  • Population Density
  • Median Family Income

Consulting
After the model is developed and tested for validity, your RuffaloCODY account executive will review the findings with you to help you understand the results. Our goal is to partner with you to determine the best strategy for success.