Sunday, September 13, 2026

Liaison Provides Guidance on How AI Forecasting Improves Higher Ed Student Retention

By

Published

2 min read

L

BRIGHTON , MA, UNITED STATES, August 24, 2026 /EINPresswire.com/ — Liaison, a frontrunner in higher education technology solutions, has released fresh insights on how its Othot platform enables colleges and universities to spot at-risk students and deliver tailored academic, social, and emotional support throughout their college journey. These details come from a new blog post, How Predictive Analytics Supports Higher Ed Student Success, which explores how AI forecasting tools are reshaping institutional approaches to retention.

Student retention continues to be one of higher education’s most persistent hurdles. Industry research referenced in the post found that only 62% of students who start a degree or certificate program finish within six years, emphasizing the need for institutions to detect disengagement before it turns into attrition.

Transforming Student Data into Early, Personalized Support

Predictive analytics tools like Othot examine thousands of data points across academic performance, attendance, and engagement to forecast which students are likely to thrive and which may require additional assistance. This plays out across several areas:

Predictive forecasting | Analyzing academic records, attendance patterns, and engagement metrics pinpoints students poised to excel and those needing extra support.

Early risk identification | Course performance, financial aid status, and campus involvement are reviewed together to flag at-risk students before challenges become insurmountable.

CRM integration | Othot can map predictive insights directly into CRM systems, such as Liaison’s TargetX, to automate personalized outreach and boost student satisfaction and persistence.

Engagement tracking | Class attendance, extracurricular participation, and feedback surveys guide customized tutoring, campus activities, and counseling referrals.

Using Predictive Insights Across the Entire Institution

Beyond individual student support, Liaison positions predictive analytics as a tool for institution-wide strategy and continuous improvement:

Curriculum refinement | Course-level dropout trends help institutions update curricula, add resources, or offer additional faculty training.

Scenario-based planning | Institutions can test retention strategies and predict outcomes before implementation.

Resource allocation | Predictive insights help institutions steer advising, financial assistance, and support services toward higher retention rates, higher graduation rates, and more engaged students.

Liaison views student success as a continuum that extends well beyond enrollment, with predictive analytics giving institutions the visibility to intervene early and the data to refine policies and services over time.

Higher education leaders can read the full blog post, How Predictive Analytics Supports Higher Ed Student Success, on the Liaison website.

About Liaison

Liaison is a higher education technology leader and strategic partner, supporting more than 1,500 institutions nationwide and internationally. For over 35 years, Liaison has delivered purpose-built technology and consultative expertise to help colleges and universities drive sustainable enrollment success—backed by white-glove support from planning through go-live and beyond.

Erin Kennedy
Liaison
ekennedy@liaisonedu.com
Follow us on social media:
LinkedIn
Facebook
X


David Hall

David Hall

David is the senior editor at FintechNewsWatch. He has a background in journalism and has worked with various media outlets, covering topics ranging from digital banking and blockchain technology to startup funding and regulatory developments. When he is not writing, David enjoys reading, hiking, photography, and exploring new coffee shops.