For many American families, a college's published tuition price is only the beginning of the story. Behind the final financial-aid offer can be a sophisticated enrollment-management system that analyzes academic records, family finances, geography, recruiting behavior and other data to estimate how much aid might persuade a particular student to enroll.
Colleges have long used both need-based aid and merit scholarships, and there is nothing inherently unusual about institutions trying to use limited financial-aid budgets efficiently. What has changed is the scale of the data and modeling available to admissions offices. Companies specializing in enrollment management now offer universities analytical tools that can help predict enrollment, target prospective students and model different scholarship strategies.
The practice has also attracted scrutiny. In April 2025, four Republican congressional committee leaders opened an antitrust investigation into the eight Ivy League institutions. Their letters raised several concerns about college pricing, including the use of enrollment-management software and nonpublic admissions and financial-aid algorithms. The lawmakers said such systems could create the capacity for what they described as "algorithmic collusion." That was an allegation being investigated, not a finding that the universities had violated antitrust law. The Senate Judiciary Committee announcement said the investigation sought records concerning tuition, admissions and financial-aid practices.
How Enrollment Management Became a Pricing Tool
One important figure in the development of modern enrollment management was Jack Maguire, a physicist who joined Boston College in the late 1960s and later became involved in admissions.
Boston College at the time was very different from the highly selective institution it later became. Maguire began applying quantitative analysis to admissions data, looking not just at who was likely to qualify academically but at what kinds of financial incentives might change whether an admitted student actually enrolled.
The basic idea was straightforward: students do not all respond to the same scholarship offer in the same way. A college therefore could study past behavior and estimate how different levels of aid might influence different groups of applicants.
Maguire and his wife, Linda Cox Maguire, later founded Maguire Associates. The firm's work helped spread a more analytical approach to recruiting and financial aid across higher education. In 2022, Carnegie acquired Maguire Associates and said the business would become part of its financial-aid optimization and enrollment-analytics operation.
The model eventually expanded far beyond one consultancy. Large firms such as EAB and Ruffalo Noel Levitz, commonly known as RNL, developed broad enrollment-management businesses combining student recruitment, communications, data analysis, retention services and fundraising.
What "Financial Aid Optimization" Means
The industry has often used the term financial aid optimization for modeling designed to help institutions allocate grants and scholarships while pursuing enrollment, access and revenue goals.
EAB's own materials describe the process as using statistical and econometric analysis to determine where aid can influence enrollment outcomes. Its current financial-aid optimization service says institutions can use household-level data, financial information and modeling to test scholarship policies and examine their potential effects on yield, class composition and net tuition revenue.
That does not mean every college using such software treats every individual applicant according to a secret personalized price. Scholarship policies vary substantially among institutions, and legal requirements, institutional missions, donor restrictions and available budgets can all affect how aid is awarded.
But the technology allows schools to make increasingly detailed estimates about how different groups of students are likely to behave.
Among the factors available to enrollment teams can be:
- academic performance and coursework;
- geographic location;
- family income or indicators of ability to pay;
- eligibility for need-based aid;
- application and enrollment history;
- interactions with emails, websites and recruiting campaigns;
- expressed academic or extracurricular interests; and
- the institution's own historical data about which students accepted previous offers.
A single data point rarely determines an offer. The value comes from combining many variables and comparing current applicants with patterns observed in earlier enrollment cycles.
The Digital Footprints Prospective Students Leave Behind
Modern recruitment begins well before a student submits a college application.
Universities may purchase prospective-student information made available through testing, college-search and recruiting services and then use email, text messaging, digital advertising, direct mail and other communications to encourage students to apply.
Once students interact with those messages or visit university websites, colleges and their vendors can measure additional engagement signals. Depending on the technology being used, that can include email opens, clicks, form submissions, virtual-tour activity and visits to particular pages.
These signals are useful because an admissions office may have tens or hundreds of thousands of prospective students in its database. Behavioral data can help staff decide whom to contact, when to make contact and what information may be most relevant.
The same analytical approach can then continue after a student applies. A university may estimate the probability that an admitted student will enroll and test how that probability changes under different scholarship amounts.
Why Two Similar Students May Receive Different Discounts
Many colleges publish a high sticker price but collect significantly less after institutional grants and scholarships. The gap between published tuition and the amount actually collected is often described as a tuition discount.
Need-based aid is generally intended to make attendance affordable for students who lack the financial resources to pay the full cost. Merit aid can serve a different purpose: attracting students the institution particularly wants to enroll, including students who may be able to afford the published price.
In practice, a college can divide its applicant pool into groups based on academic characteristics, financial circumstances and predicted enrollment behavior. Different scholarship strategies can then be tested for different groups.
For example, a student with strong academic credentials who has several competing college options might receive a larger merit scholarship because the institution believes the discount could change the student's decision. Another student who appears highly likely to enroll regardless of price might receive less institutional aid.
Those decisions are not necessarily made by an employee manually setting a unique price for every applicant. Instead, schools may establish scholarship grids, models or award ranges informed by statistical analysis.
College of Charleston Shows How Recruitment Can Become Highly Strategic
The public College of Charleston in South Carolina provides a useful example of how enrollment strategy can affect recruiting.
According to the school's 2024-25 Common Data Set, 31,680 first-year applicants sought admission, 19,016 were admitted and 2,265 ultimately enrolled. That works out to an enrollment yield of roughly 12 percent, meaning the institution must admit and recruit far more students than ultimately attend.
The university has worked with EAB on enrollment marketing. In an August 2024 interview published by EAB, College of Charleston President Andrew Hsu said the school had expanded its marketing, joined the Common Application, simplified elements of the admissions process and adjusted its financial-aid strategy.
Hsu said the institution also focused more heavily on recruiting students from outside South Carolina. Out-of-state enrollment is financially important to many public universities because those students normally pay higher tuition than state residents.
The College of Charleston case illustrates a broader reality: admissions departments at tuition-dependent institutions are not simply evaluating applicants. They are also trying to build a class large enough to meet academic, demographic and financial goals.
Scholarships Can Be About Enrollment as Well as Need
One source of confusion for families is the word "scholarship." A scholarship may sound like a reward based purely on academic accomplishment, but institutional merit aid can also be an enrollment-management tool.
A school may decide that reducing the advertised price makes a student more likely to attend while still producing more tuition revenue than losing the student to a competitor.
This means that families who appear able to pay the full price can still receive substantial grants.
The College of Charleston's Common Data Set illustrates how widespread non-need-based institutional assistance can become. In the 2024-25 data, large numbers of first-year students who were classified as having no financial need nevertheless received institutional grants or scholarships.
That does not establish that the school individualized every award according to each family's maximum willingness to pay. It does show why the published sticker price alone can be a poor guide to what many students will actually be charged.
Why Families Sometimes Negotiate
Because scholarship offers vary across institutions, some families compare competing financial-aid packages and ask a preferred college to reconsider its offer.
Schools use different terminology for this process. Some allow formal financial-aid appeals, particularly when a family's financial circumstances have changed. Others may reconsider merit awards when a student presents a stronger offer from a competing institution.
There is no guarantee that an appeal will succeed, and families should accurately represent other offers and financial circumstances. But an initial award is not always the final amount available.
This competitive environment becomes especially intense near enrollment deadlines, when colleges have a clearer picture of whether they are likely to meet their incoming-class targets.
Why Colleges Rely on Outside Consultants
Accurately forecasting enrollment is difficult. A school may admit thousands of students without knowing exactly how many will accept. Missing the target by even a few hundred students can create a significant budget problem.
American University offered a recent illustration of that risk. In July 2024, university officials projected an incoming full-time first-year class of 1,864 students, 386 below the school's target of 2,250, according to reporting by the student newspaper The Eagle. The university was also confronting a substantial revenue shortfall.
That financial exposure helps explain why colleges pay outside companies for recruitment data, marketing, predictive modeling and enrollment forecasting. Institutions that do not have large internal data-science teams may find it less expensive to buy those capabilities from specialized vendors.
EAB, for example, markets enrollment services covering recruiting, financial aid, student success and institutional strategy. The company is backed by investment firms BC Partners and Vista Equity Partners; BC Partners describes EAB as a provider of subscription research, software and technology-enabled services to educational institutions.
College Search Platforms Add Another Layer of Data
The relationship between prospective students and enrollment companies now extends directly into college-search platforms.
EAB launched Appily in 2023 as a consumer-facing service where students can search for colleges, scholarships, majors and other information. EAB says more than three million students use the platform.
The company's Appily materials also market the platform to colleges as a way to reach prospective students and identify students who may be a good match for their institutions.
This arrangement highlights a central feature of modern college recruitment: the same digital platform can provide students with useful information while also giving universities another channel through which to identify, analyze and contact potential applicants.
Congressional Scrutiny Does Not Mean Collusion Has Been Proven
The April 2025 congressional investigation placed greater attention on the technology behind college pricing, but the distinction between scrutiny and proof is important.
The lawmakers asked the Ivy League universities for documents dating back to 2019 concerning tuition pricing, admissions, financial aid and communications with other institutions and organizations. Their letters argued that shared industry practices, algorithms and other relationships could raise antitrust questions.
Those letters represented the lawmakers' concerns and investigative theory. They did not themselves establish that universities had coordinated prices illegally or that enrollment software automatically constitutes collusion.
Universities can independently use similar commercial software without necessarily entering an unlawful agreement with one another. Whether particular conduct violates antitrust law depends on evidence of the conduct itself and the applicable legal standard.
Private Equity's Role Has Also Evolved
The financial companies behind enrollment businesses have changed over time.
EAB remained a portfolio investment of BC Partners and Vista Equity Partners during this period. Maguire Associates had already been acquired by Carnegie in 2022. New Heritage Capital, which had backed Carnegie, announced in 2024 that it had exited its investment.
RNL's ownership later changed as well. In October 2025, after the period described in the original reporting, education technology company Encoura announced that it had acquired Ruffalo Noel Levitz. That later transaction does not change the historical role RNL played in the development of enrollment-management services, but it is relevant to understanding the industry's subsequent consolidation.
What Families Should Take From All of This
The most useful lesson is not that every college has discovered a precise secret number that each family will pay. The reality is more complicated.
Colleges increasingly have access to powerful tools for estimating enrollment behavior, ability to pay and the likely effect of scholarships. Those models can influence how institutions distribute their own aid and which students they recruit most aggressively.
For families, that makes several numbers more important than the sticker price alone: the net price after grants, the distinction between need-based and merit aid, whether scholarships are renewable, the conditions attached to them and how an offer compares with packages from similar institutions.
It also means a financial-aid offer should be read as an institutional pricing decision, not simply as a statement of a student's academic worth.
For colleges, the same system creates a difficult balancing act. Institutional aid can expand access, help build a desired class and keep an institution financially stable. But using scarce scholarship dollars to attract students who could otherwise pay more can also reduce the money available for students with greater financial need.
That tension—between access, competition and revenue—is at the center of the debate over modern enrollment management. The technology has made college pricing more sophisticated, but it has also made understanding how the final price is determined more important than ever.
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