AGENT 78 / 11 · RETAIL & E-COMMERCE · INSTITUTIONAL & STUDENT OPERATIONS

Enrollment Yield Predictor

Projects how many of this cycle's admits will actually enroll from historical conversion patterns, and narrows the forecast band as deposit and confirmation data arrives.

READS FROMHistorical applicant/admit/enroll data

MCP SERVEREducation Data Server

MODELRouted to reasoning-tier open model

HANDS OFF TOStudent At-Risk Early Warning System

RUN THE AGENT

Set your admit pool, model the forecast precision

Adjust admits and forecast error and the agent recalculates mis-enrollment cost avoided instantly.

ASSUMPTIONS

Applicants admitted this cycle 4200

Historical yield rate (admits who enroll) 32%

Baseline yield forecast error 12%

Agent yield forecast error 4%

Cost of over-enrollment per student (£) 8000

Revenue lost per unfilled seat (£) 22000

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Predicted enrollment

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Forecast error reduction

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Mis-enrollment cost avoided

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Students within forecast band, agent

Metric	Value

HOW IT WORKS

What the agent actually does

1. Pull applicant behavior data	Reads historical admit-to-enroll conversion patterns segmented by program, aid package, and demonstrated interest signals.
2. Model this cycle's yield	Projects how many of this cycle's admits will actually enroll, accounting for shifts in applicant behavior.
3. Tighten across the cycle	Updates the forecast as deposit and confirmation data comes in, narrowing the error band.
4. Hand off	Feeds the enrollment forecast to housing and faculty staffing planning, and the final class list to the Student At-Risk Early Warning System.