As higher education continues to confront demographic shifts, rising financial need, and increasing scrutiny around value, financial aid leaders are being asked to do more than package awards. They’re being asked to strategically shape enrollment outcomes.

In a recent Liaison webinar, The Financial Aid Equation: AI + Trusted Partnership = Enrollment Success, enrollment experts from Liaison and Columbia College explored how institutions can modernize their financial aid strategies through advanced analytics, predictive modeling, and cross-campus collaboration. Their discussion illuminated a clear message: Financial aid is no longer a static calculation; it’s a dynamic investment.

Panelists included:

  • Colleen Brown, Columbia College Associate Vice President of Enrollment Services and Senior Director of Financial Aid
  • Danielle Douglas, Columbia College Director of Financial Aid
  • Craig Cornell, Liaison Vice President for Enrollment Strategy at Liaison
  • Vincent Sirianni, Liaison Client Success Director Columbia College

The session highlighted two key lessons from Columbia College’s transition to Othot, Liaison’s advanced enrollment analytics platform: How to build a trusted technology partnership and how to adopt hands-on analytic decision making in financial aid awarding.

Industry Challenges: Static Models in a Dynamic Environment

Cornell opened the webinar by underscoring the increasingly complexity of financial aid operations. Students’ expectations are shifting, competition is intensifying, and affordability concerns are rising.

“There’s too much nuance now for one-size-fits-all aid strategies,” he said.

Instead, institutions need the ability to adjust mid-cycle, to make decisions by cohort or even by student.

Traditional awarding models, he noted, have long relied on historical assumptions and end‑of‑cycle analysis that are useful, but insufficient. While most institutions wait until after census to see what happened, leaders need real‑time insight into what will happen if they make adjustments.

Traditional vs. Modern Financial Aid Awarding

The webinar contrasted the long-standing, static approach to financial aid with emerging, data‑driven strategies.

The Traditional Approach

For years, traditional financial aid planning has involved:

  • Merit and need-based awarding rooted in fixed rules.
  • Set-it-and-forget-it models with limited flexibility.
  • Reliance on historical yield assumptions.
  • Limited ability to test scenarios or model outcomes.

As Douglas put it, “For us to try to give the student the best aid package possible, sometimes that need-based aid isn't sufficient. Scenario-based tools let us see where students’ likelihood falls within various ranges”

The Modern Optimization Approach

In contrast, analytics-driven awarding incorporates:

  • Real‑time data on demographics, behaviors, and engagement.
  • Machine learning to enhance yield prediction.
  • Prescriptive recommendations for the next best action.
  • Student‑level optimization with a focus on net tuition revenue.
  • Dynamic modeling to test “what‑if” scenarios instantly.

Cornell described it in simple terms: It’s not about doing what you’ve always done. It’s about doing what will work best for the students in front of you right now.

How Multimodal Data Powers Actionable Insights

A central theme of the webinar was the value of combining admissions, financial aid, and student success data into a unified decision-support system.

Every decision a student makes—every click, visit, and submission—feeds into the model. That’s how institutions get insights that weren’t possible with siloed data.

Sirianni emphasized that Columbia College quickly began leveraging multimodal analytics not just to award aid, but to shape communication and recruitment strategies. Aid isn’t always the lever, he explained. Sometimes, for example, the model recommends a campus visit or a tailored outreach instead of more dollars.

Predictive and Prescriptive Modeling: Moving from Insight to Action

Othot enables institutions to forecast yield scenarios and to understand the impact of aid, engagement, geography, and timing on enrollment behavior.

Brown said the real breakthrough came when Columbia College began using student‑level prescriptive insights rather than relying on gut instinct about the “right” amount to award.

That shift—from intuition to informed action—is what the Columbia team considers their biggest growth area.

Columbia College’s Goals and Results

Sirianni highlighted several key outcomes Columbia College achieved by adopting Othot:

  • Maintained the discount rate.
  • Grew non‑athlete enrollment, improving scholarship distribution.
  • Strengthened transfer student yield with better‑aligned awards.
  • Increased operational efficiency.
  • Improved collaboration between teams.

Advice for Institutions Seeking a Technology Partner

When asked what advice they’d give to institutions considering a shift to a modern analytics platform, Brown and Douglas offered these takeaways:

  • Be open to change.
  • Show up and stay engaged.
  • Bring all stakeholders into the process early.
  • Look for a partner, not a vendor.

A Must‑Watch for Modern Financial Aid Leaders

The webinar offers a compelling blueprint for moving from static awarding to strategic, data‑driven optimization. For institutions seeking to strengthen yield, improve net revenue, and deliver smarter aid packages, Columbia College’s journey demonstrates what’s possible when technology, collaboration, and openness to change align.

If you’re looking to modernize your financial aid strategy, this is a session you don’t want to miss. To hear the entire conversation, watch The Financial Aid Equation: AI + Trusted Partnership = Enrollment Success now.