Liaison outlines how AI forecasting can improve college retention

Liaison says its Othot platform can help colleges spot at-risk students earlier and tailor support across academic, social and emotional needs. The company points to predictive analytics as a way to improve retention, graduation and resource allocation as higher ed leaders look for ways to keep more students on track.

Why it matters: - Higher education retention remains a major challenge for colleges and universities. - Liaison says predictive analytics can help institutions identify disengagement earlier, before students leave a program. - Industry research cited in the blog post found that only 62% of students who start a degree or certificate program finish within six years.

What happened: - Liaison published a new blog post, "How Predictive Analytics Supports Higher Ed Student Success," on August 24, 2026. - The post explains how the Othot platform uses AI forecasting to identify at-risk students and deliver personalized support. - Liaison says the platform helps colleges and universities support students across the full college journey.

The details: - Othot analyzes thousands of data points, including academic performance, attendance and engagement, to forecast which students are likely to succeed and which may need help. - Predictive forecasting looks at academic performance, attendance patterns and engagement levels. - Early risk identification combines course performance, financial aid status and campus involvement to flag at-risk students. - CRM integration allows Othot to map predictive insights into systems such as Liaison’s TargetX to automate personalized outreach. - Engagement tracking uses class attendance, extracurricular participation and feedback surveys to guide tutoring, campus activities and counseling referrals. - The post says these tools can improve student satisfaction and persistence. - Liaison also says predictive analytics can help institutions refine curricula when course-level dropout trends appear. - Scenario-based planning lets institutions test retention strategies before implementing them. - Resource allocation can direct advising, financial assistance and support services toward higher retention and graduation rates. - The company frames student success as a continuum that extends beyond enrollment.

Between the lines: - The blog post positions AI forecasting as both a student-support tool and an institutional planning tool. - Liaison is tying retention work to broader operational decisions, not just one-on-one intervention. - The emphasis on early intervention suggests the company sees data-driven outreach as a way to reduce attrition before students disengage.

What's next: - Higher education leaders can read the full blog post on the Liaison website. - Liaison will likely continue positioning Othot and TargetX as connected tools for enrollment and student-success strategy.

The bottom line: - Liaison is betting that predictive analytics can help colleges act sooner, support students more precisely and improve outcomes across retention and graduation.