Much of our analysis and recommendations for financial-aid packaging will focus on
the actual results for the most-recently enrolled fall class of first-year students.
But the econometric models in ETools, that we use to evaluate and optimize financial aid,
can also be used to predict enrollment for the coming fall.
We work with clients to acquire frequent updates of the data on the current pool of
applicants for the coming fall’s class. Knowing the specific characteristics of your
admitted applicants for next fall helps us make any necessary adjustments to aid packaging
if the applicant pool seems to have changed in any significant way.
We work closely with clients during the enrollment season to watch the unfolding characteristics
of that pool to insure that aid packages are properly structured to meet next year’s goals.
Using ETools, we provide frequent enrollment predictions based on the current cohort of
admitted and packaged applicants.