enroll ml

Founded 2022

Analyze university applicant data to guide admissions counselors with strategic enrollment actions

Pricing model

Demo

You can use VantagePoint to evaluate student applicant data and guide higher education admissions decisions. It connects directly to your existing CRM, calculating behavioral signals to uncover hidden applicant engagement patterns. It provides admissions leadership with daily strategic briefings about class progress, territory risks, and staff allocations. Counselors receive customized recommendations for reaching out to individual students, identifying those most likely to enroll or melt. This allows recruitment teams to focus their daily outreach where it produces the greatest impact on class yield.

What enroll ml does

Connect CRM data via read-only API integrationReview daily morning briefings on enrollment risks and opportunitiesInspect individual student profiles and engagement timelinesIdentify uncontacted applicants with high enrollment probabilityReassign counselor territory caseloads based on active student demandTrack applicant progression across distinct recruitment channelsConnects via read-only API to admissions CRMs like Slate and SalesforceEngineers hundreds of behavioral signals to identify hidden applicant intentGenerates daily strategic briefings for enrollment leadershipDelivers tailored recommendations and next steps for individual counselorsBuilds traceable behavioral theses for every applicant in the funnelEnforces nine anti-bias and quality checkpoints before displaying recommendationsProvides territory and recruitment channel effectiveness breakdowns