Enrollment Management optimized with AI
When you automate and optimize your admissions processes with enroll ml, your counselors will save time, guess less, and enroll more.
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Enrollment Management optimized with AI
When you automate and optimize your admissions processes with enroll ml, your counselors will save time, guess less, and enroll more.
Admissions counselors can spend up to 500 hours per year on data analysis (even with powerful CRM and BI solutions in place)
Current platforms are not optimized for daily counselor efficiency
Scouring CRM records to try to put together the best conversation strategy is highly inefficient. enroll ml's enrollment marker and gamification drives dramatic reduction in time and subjectivity
Counselors can spend up to 15% of their time every single day trying to prioritize their activities - even with pre-developed queries and lists. with enroll ml, counselors have dynamic prioritization lists that are based on the behaviors of their students
Move beyond the self-created checklist to tracking and reacting to your institution specific, machine-learning derived behavioral signals. These markers guide and direct massively personalized student enrollment journey understanding
Scouring CRM records to try to put together the best conversation strategy is highly inefficient. enroll ml's enrollment marker and gamification drives dramatic reduction in time and subjectivity
Attempting to measure the class mid-cycle consumes hundreds of team hours a year. Now, enroll ml produces a clear, statistically sound and understandable class build measurement every single day
Every day each counselor’s funnel is reassessed against the institution’s custom enrollment markers – providing them and their supervisors with a clear, simple and immediate understanding of exactly where every single student is on their behavioral journey
With enroll ml, the time spent trying to develop today’s critical outreach list is reduces to almost zero. We scan hundreds of behavioral markers every night to produce the daily list of critical priorities for outreach. Then, once those priorities are addressed, the counselor moves to the behavioral groupings to focus in on capturing and shaping the class
This isn’t your grandparents’ admissions checklist.
Enroll ml processes hundreds of data elements to identify the behavioral markers that separate enrollments from declines, and simplifies those markers to make them understandable and actionable by the counselor. With a single click, the counselor can see exactly where each student is along the enrollment path – and what critical conversations must take place during the next outreach.
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