We use our admissions enrollment probability models to design a series of packaging grids
that show alternative approaches to achieving your potentially conflicting enrollment goals.
What would be the optimum aid allocation to maximize enrollment or net tuition revenue or student
selectivity and ability, etc?
We work collaboratively with clients to review these “what-if”
exercises and arrive at a set of merit- and need-based packaging rules for next year.
We use a number of different approaches to offer clients a menu of alternative packaging
rules which capture their enrollment goals and, more importantly, the “weights” or
imprortance of those goals.
Which is your most important goal for next fall’s enrollment:
- a larger class,
- more net tuition revenue,
- more selectivity and a higher academic profile,
- increased diversity, etc?
How much more important is one goal compared with other goals that you might have for the class?
Our grant optimization process provides clients with a way to review, test and simulate
alternative packaging rules that each embody different enrollment goals and different weights
associated with each of those goals.