It's Not An Export
The next level of leveraging data to have a competitive advantage is not available as an export in your CRM. Indeed, an appropriate and intentional embrace of machine learning and artificial intelligence to identify and respond to student behavioral patterns is the next level.
Teege Mettille
Higher education professional with experience in admissions, enrollment, retention, residence life, and teaching. After working on six different college campuses, I'm excited to be consulting with a wide variety of institutions to better meet enrollment targets.I have been fortunate to serve as President of the Wisconsin
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For decades, the FAFSA has been viewed as an essential tool in gauging student interest. But in today’s evolving admissions landscape, it’s becoming clear that the timing and mere submission of a FAFSA are not enough to accurately measure a student’s commitment to enrolling. Instead, admissions teams must look deeper—specifically at how students engage with the institution before and after they receive their financial aid package. These behaviors provide far more valuable insights into whether a student is likely to enroll.
In an environment where more students are applying to multiple schools and financial aid timelines are becoming less predictable, focusing on pre- and post-aid engagement behaviors has never been more important.
Why Engagement Matters More Than FAFSA Submission
Students' actions before and after receiving their financial aid offer often reveal more about their intent than a FAFSA submission. For example, a student who actively participates in admissions events, asks detailed questions about campus life, or schedules a campus visit is showing genuine interest. These actions indicate that the student is seriously considering enrolling, regardless of whether they have submitted their FAFSA early or late.
On the other hand, a student who submits a FAFSA but does not engage with the institution in other ways may only be using the FAFSA as a financial planning tool, not as a sign of their intent to enroll at your college. In this way, engagement provides more reliable signals of commitment than simply submitting paperwork.
This is especially true after a student receives their financial aid package. Their response—whether they ask follow-up questions, express concerns, or schedule meetings with financial aid officers—can often indicate whether they will enroll. Schools that rely too heavily on FAFSA submissions as a sign of interest are likely to overlook these more meaningful forms of engagement.
Key Engagement Metrics to Track
There are several key engagement behaviors admissions teams should be tracking to better predict enrollment:
- Pre-Aid Engagement: Before a student receives their financial aid package, how are they interacting with your institution? Are they attending virtual events, responding to emails, or requesting additional information? Pre-aid engagement shows that a student is seriously considering your institution, regardless of whether their FAFSA has been submitted.
- Post-Aid Behavior: After the financial aid package is sent, what actions does the student take? Do they reach out to ask questions or request more information about scholarship opportunities? Are they comparing packages or attending decision-making events? Students who engage more after receiving their aid package are often those most likely to enroll.
- Communication Frequency: A student who consistently communicates with admissions officers and financial aid counselors is more likely to be seriously considering your school. The frequency and quality of these communications provide valuable insights into the student’s decision-making process.
- Participation in Key Milestones: Does the student attend admitted student events, campus visits, or orientation previews? Engaging in these key milestones often signals a higher likelihood of enrollment than FAFSA submission alone.
By tracking these behaviors, schools can develop a more accurate picture of student intent, helping them focus their outreach and resources on students who are most likely to enroll.
Shifting to an Engagement-Focused Model
To successfully transition from a FAFSA-reliant approach to one focused on engagement, colleges must implement tools that allow them to monitor and assess these behaviors effectively. Predictive analytics and machine learning models can help identify students who are more likely to enroll based on their engagement patterns, giving admissions teams the ability to prioritize outreach to high-interest students.
Additionally, schools should develop communication strategies that encourage meaningful engagement. This could include personalized emails, invitations to virtual events, or one-on-one meetings with admissions counselors. The goal is to create opportunities for students to engage with your institution in ways that reveal their level of interest and intent.
By focusing on engagement behaviors—rather than relying solely on FAFSA submissions—admissions teams can build stronger relationships with prospective students, better predict yield, and ultimately shape their admit pool more effectively.
FAFSA Isn’t the Full Story
The takeaway for admissions teams is clear: FAFSA submissions are just one part of a much larger picture when it comes to student intent. Schools that focus primarily on financial aid forms risk missing out on critical engagement cues that more accurately predict whether a student will enroll.
Engagement behaviors before and after financial aid offers provide a clearer view of student commitment, and by tracking these actions, colleges can better allocate their resources, prioritize their outreach, and ultimately build a stronger, more committed class. The key is to shift from a FAFSA-driven strategy to one that puts student engagement front and center.
Engagement Before And After FAFSA: The Real Indicators
For many admissions teams, FAFSA submissions have traditionally been viewed as a strong signal of student interest. However, in reality, not all FAFSA submissions indicate serious intent to enroll. As competition for students increases, it's critical to re-evaluate how FAFSA data is interpreted, especially in light of the information colleges can't access.
One important data element that has been affected is FAFSA Position, eliminated about a decade ago, which provided insights into where a student listed a particular college relative to others on their application. For years, many institutions used FAFSA Position to infer a student’s level of interest—assuming that being listed first or second meant the student was highly likely to enroll. While this wasn't a formal tool, the position was often treated as an important clue in the enrollment puzzle. However, due to concerns from the Department of Education about how colleges were using this information, FAFSA Position is no longer available. This change forces institutions to rely on other indicators of interest, and it underscores the need to diversify strategies for assessing commitment.
Why FAFSA Submissions Alone Don't Reflect Engagement
While none of us have assumed that every FAFSA submission equals similar levels of intent - this data blindspot has left us no alternative way of measuring this signal by student. Students now apply to more schools than ever before, and many submit FAFSAs to schools they’re considering only as “backup” options. Completing the FAFSA is simply a procedural step for many students, not a declaration of their commitment to attend a particular institution.
As a result, colleges that heavily weigh FAFSA submissions may end up focusing resources on students who have no serious intention of enrolling. Without the added layer of insight from FAFSA Position, schools are left with less context, making it more difficult to gauge genuine interest based on FAFSA data alone.
The Changing Landscape of College Decision-Making
The dynamics of student decision-making have evolved over the years, but FAFSA submissions are no longer a reliable indicator of where a student will eventually commit. In today’s environment, students submit multiple applications and FAFSA forms, often as a matter of precaution rather than as an expression of intent. In this climate, admissions teams need to be more cautious about assuming that FAFSA submissions equate to real interest.
Additionally, the inability to access FAFSA Position means schools can no longer know where they stand relative to other institutions. This lack of visibility into a student’s preferences highlights the growing importance of using additional methods—such as behavioral data, engagement metrics, and predictive modeling—to better understand and prioritize students who are truly interested in enrolling.
Prioritizing Engagement Over FAFSA Data
The shift away from relying on FAFSA Position presents an opportunity for admissions teams to reframe how they assess student intent. Rather than focusing on FAFSA submissions as a primary indicator, schools should shift their attention to other forms of student engagement. Metrics such as website visits, participation in virtual tours, attendance at campus events, and interactions with admissions officers can provide far more reliable insights into a student’s commitment to your institution.
In addition, colleges can leverage machine learning and predictive analytics to better understand how engagement behaviors correlate with enrollment decisions. By analyzing patterns in student interactions—such as the frequency of communication, the types of inquiries made, or the timing of their engagement—admissions teams can develop a more nuanced understanding of student intent. These insights help schools prioritize their outreach efforts toward students who are most likely to matriculate, rather than relying solely on the submission of financial aid forms.
Diversifying Your Approach to Student Commitment
The end of FAFSA Position data had forced an abandonment of nuance in interpreting the signal of FAFSA submissions. The rise of high-level data science now allows for a reassessment of how colleges interpret FAFSA submissions, making it clear that this form alone should not be the main driver of admissions decisions. While FAFSA remains an important part of the financial aid process, it is no longer a reliable indicator of student commitment. By focusing more on engagement behaviors and leveraging data-driven insights, admissions teams can make smarter, more informed decisions about how to allocate their resources and shape their admit pool.
In today’s competitive landscape, relying on a single metric—like FAFSA—can result in missed opportunities and misallocated efforts. Schools that embrace a broader, more holistic approach to understanding student commitment will be better equipped to build strong, resilient incoming classes.
Not All FAFSAs Are Created Equal
If there’s one takeaway from the AI buzz at NACAC, it’s that while robots aren’t going to be reading your transcripts or taking over your job anytime soon, they can certainly help make it easier. Let’s face it, AI is not the admissions counselor of the future—but it can be the best assistant you’ve ever had. Imagine having a tool that frees you up from guessing games, helps you focus on the right students, and gives you the confidence to approach each interaction with clarity.
But as we wrap up this series, let's look ahead: How will AI continue to reshape admissions? Spoiler alert—it’s not about robot overlords writing your acceptance letters. It’s about making your job more effective, efficient, and, dare we say, a little bit more enjoyable. Here’s how.
AI Enhances Your Expertise, Not Replaces It
At this point, we’ve debunked the myth that AI is coming to steal your job. Instead, AI is here to help you shine. Think of AI as your trusty sidekick, the Robin to your Batman. You’ve got the people skills, intuition, and experience—AI just gives you the data to back up your instincts. By analyzing student behavior and predicting outcomes, AI lets you make smarter decisions, faster.
Imagine knowing exactly when a student is ready to apply or needs a gentle nudge. Instead of wasting time on broad, generic communications, AI helps you focus on personalized, data-driven outreach that matters. You still get to build relationships with students; AI just makes sure you’re doing it at the right time with the right message.
A Future with More Fun, Less Guesswork
One of the greatest things about AI is that it takes the guesswork out of your day-to-day tasks. No more wondering whether a student is serious about applying or what message will resonate. AI has done the heavy lifting, analyzing behavior patterns, predicting next steps, and flagging the students who need your attention most. What does that mean for you? Less time staring at spreadsheets and more time doing the part of the job you love—actually connecting with students.
And let’s be real: AI can also spare you some of the more tedious parts of the job. Did a student suddenly go quiet after showing early interest? AI can tell you when to re-engage, so you're not left in the dark. It’s like having a crystal ball for admissions, except without all the mysterious fog.
The Human Touch Still Matters
As we look to the future, one thing is certain: the human touch will always matter in admissions. Sure, AI can help pinpoint student needs, predict behavior, and personalize outreach, but it can’t replace the empathy, understanding, and personal connection that admissions professionals bring to the table. AI doesn’t get excited about campus tours, and it won’t cheer when a student gets accepted—that’s all you.
AI gives you the insights, but you get to make the magic happen. The future of admissions is not about choosing between humans and machines—it’s about leveraging AI to help you be the best counselor you can be.
The Best of Both Worlds
So, what’s the future of AI in admissions? It’s not about replacing people—it’s about creating a seamless partnership where AI takes care of the data crunching, and you focus on what really matters: building relationships and supporting students as they navigate their educational journey.
In the end, AI isn’t about making things colder or more robotic; it’s about freeing up your time and making your job more human. The future of admissions is brighter (and more efficient) with AI by your side. So go ahead, embrace the partnership—and maybe even have a little fun while you’re at it.
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