This guide helps you understand and process student data when connecting it to your own CRM.
Last updated May 2024
This guide is for
- Partners who have set up, or wish to set up data sync with CollegeVine
- Partners who wish to better understand and interpret CollegeVine data
- New partners just setting up their CollegeVine integration
Please see the linked document for a detailed list of field types and formats included in a data export form CollegeVine.
What kind of data is available on CollegeVine?
Basic Details and Contact Information
The Basic Details and Contact Information section provides an overview of the student, their parent/guardian, and their contact details.This section represents the basic information that identifies who the student is, what enrollment term theyâre looking for, and how to contact them.
A key set of data in this section is details about the studentâs parents or guardians. A studentâs college enrollment is increasingly becoming a family decision with multiple stakeholders. Itâs critical to engage parents and guardians early in the process and build excitement with them around your institution.
Demographics
The Demographics section provides all the demographic details of the student. This data is useful in assessing the diversity of your inquiry pool.
Background Context
The Background Context section provides detailed information about where the student is from. In this dataset, we break down key details of the studentâs high school and neighborhood.
A key data point in this section is the Environment Index. This is a calculated field that assesses the relative amount of environmental impact faced by the student based on the high school they went to and the neighborhood they live in. This ethnicity-agnostic score can be used as a means of ensuring adequate context is taken into account when assessing a studentâs achievement level.
Preferences and Persona
The Preferences and Persona section provides detailed insight into the most important factors the student will use in making their college decision. We cluster students into one of six personas based on their express preferences. Knowing a studentâs persona and top preferences enables you to provide personalized communication and nurturing on their path to enrollment.
A key data point in this section is the Affinity Score. We generate this score using a machine learning model that predicts the studentsâ likelihood of applying and enrolling in your institution using a variety of indicators (the studentsâ school list, stated preferences, behavior on CollegeVine, etc.). Affinity Scores help you understand the interest distribution of your inquiry pool, enabling you to focus on your highest affinity candidates, or measure how youâre growing affinity of other candidates over time.
Academics, Extracurriculars, and Awards
The Academics section provides the full academic and extracurricular profile of the student across grades, coursework, test scores, extracurriculars, and awards.
A key data point in this section is the studentâs Admissions Chance. This score is powered by a machine learning model that has observed the acceptance and rejection data of all past CollegeVine applicants. The model accounts for a studentâs entire application, including academics, demographics, extracurriculars and provides a probability of acceptance. This data can be used as a shorthand proxy for your institution's future admissions decision against the student.