You’ve been watching deposits come in slowly for months. Now it’s Decision Day, and as you wait for the final numbers, you’re starting to rethink your strategy.
Almost every institution asks the same question: Should we have done more?
That one more mass email probably wouldn’t have driven 100 new enrollments. More calls or more campaigns wouldn’t matter either if you’re not focused on the right prospects.
The Challenge Behind the Numbers
Most enrollment strategies are built around volume. More outreach to more prospects across more channels. The assumption has long been that increased activity will translate to increased yield.
Admissions teams Paskill has supported across the country over decades can attest to those same persistent constraints: time is limited, counselor capacity is finite, and not every student requires the same level of attention. Even if we believe deeply in each outcome, we must focus our energy on those students who are more likely to convert.
For years colleges and universities have asked us how to know who exactly those students are, the ones more likely to commit? That’s why we created a model, built on advising hundreds of admissions teams, that analyzes prospect geography, engagement, and alignment with enrolled student data to reveal clear paths forward.
Where Enrollment Decisions Are Still in Motion
To better understand where outreach can influence outcomes, we began developing predictive enrollment modeling through Fusion, our AI-driven approach to prioritizing enrollment outreach.
The goal is straightforward: helping admissions counselors focus their time where it can make the greatest difference. We got started right away with a regional public university in the Northeast, using historical applicant data to assign each student an enrollment probability score. Early testing shows strong alignment between predicted and actual enrollment behavior.
More importantly, the model highlights how opportunity is distributed. Students most likely to enroll are already moving toward a decision. And students the least likely to enroll rarely change direction with additional outreach.
The greatest opportunity sits in the middle. This “middle band” represents students who are still considering their options. With the right message and timing, they can be influenced. This is where your enrollment strategy has the most leverage.
We are continuing to test and refine predictive enrollment modeling using the current applicant pool, with full outcomes expected later in the cycle.
What We’re Seeing Now
At that same university, where predictive modeling will influence recruiting strategies moving forward, focusing on the right kind of students with the right enrollment tactic now is making a difference.
Most institutions can relate to limited resources to support big enrollment challenges. A full website redesign might be needed, but not in the cards right now. But there is a way to start moving prospective students from interest to action through a more focused digital experience.
A conversion-driven microsite built around clear enrollment goals, simplified pathways, and messaging aligned to specific audiences can help boost inquiries.
Early results show impressive gains in engagement and conversion:
- 375% higher RFI submission rate per session
- 78% lower cost per RFI
These results reflect a broader pattern. When effort is applied with focus and aligned to how students make decisions, engagement improves.
Closing Thought
May 1 will always be a moment to catch your breath on all the work it took to build the class ready to start at your school.
For institutions willing to refine how they prioritize outreach, it is also a good time to focus on what to change and when.
We predict that competition will only get harder. Let’s talk about where you can start making small shifts today to drive the biggest impact next cycle.
