The Power of Predictive Analytics in Higher Education: Boosting Yield and Retention With Othot

Today, higher education institutions are facing increasing pressure to attract and retain students while meeting financial goals. Traditional approaches to admissions yield strategies and retention often fall short, relying on generalized methods that overlook the nuances of student behavior and institutional priorities. Enter Liaison’s Othot AI platform—a solution that uses predictive and prescriptive analytics to transform how colleges and universities approach enrollment yield and student retention.

With data-driven insights guiding their efforts, institutions can identify high-potential applicants, predict enrollment probabilities, and intervene strategically to support at-risk students. This approach not only drives recruitment success but also builds a solid foundation for long-term student success.

Predictive analytics has become a game changer for enrollment management. Instead of relying on historical data alone, this advanced approach integrates real-time information to create actionable insights. In the context of admissions yield strategies, predictive analytics helps institutions answer critical questions:

• Which applicants are most likely to enroll if offered a specific aid package?
• What factors influence an applicant’s decision to commit?
• How can limited resources be allocated most effectively to improve yield and retention?

Othot excels at turning raw data into predictive insights, empowering enrollment teams to focus on students who are most likely to enroll and who fit the institution’s goals for academic excellence, diversity, and financial sustainability.

For example, imagine an institution aiming to increase its enrollment yield by focusing on first-generation college students. Othot’s analytics can assess which applicants in this demographic are most likely to enroll based on historical trends, engagement data, and financial aid modeling. By targeting this group with tailored outreach and appropriate support, the institution can achieve its goals more effectively.

While predictive analytics answers the “what might happen” question, prescriptive analytics takes the next step by recommending actions to improve outcomes. Othot’s prescriptive capabilities guide institutions in making precise, data-driven decisions about enrollment and retention strategies. For enrollment yield, prescriptive analytics might suggest:

• Increasing outreach efforts to specific demographics or geographic areas.
• Adjusting financial aid packages for high-potential candidates.
• Offering personalized campus visit experiences to undecided students.

These recommendations enable institutions to act with confidence, knowing their strategies are backed by data rather than assumptions.

Retention doesn’t begin once a student arrives on campus—it starts with understanding their likelihood to succeed and stay engaged. Othot equips institutions with tools to monitor student behavior, financial stress, and engagement levels, flagging individuals who may be at risk of dropping out. By identifying these students early, institutions can implement targeted interventions, such as:

• Personalized academic support for students struggling with coursework.
• Adjustments to financial aid for students experiencing unexpected financial hardship.
• Encouraging participation in extracurricular activities to foster a sense of belonging.

This proactive approach not only supports students in achieving their goals but also reinforces the institution’s reputation for student success.

Higher education operates in an ever-changing environment, making flexibility essential. Othot’s scenario-based analysis lets institutions plan for various “what if” situations, such as:

• The impact of increasing financial aid for a specific demographic.
• How reallocating recruitment resources might influence yield.
• The potential effects of external factors, such as economic changes, on enrollment.

These insights allow administrators to adapt quickly and strategically so the institution remains on track to meet its objectives.

Institutions that integrate Othot’s analytics into their enrollment management and retention efforts experience tangible benefits:

1. Optimized Enrollment Yield: By focusing resources on high-potential applicants, institutions improve their chances of achieving desired enrollment outcomes.
2. Enhanced Retention Rates: Early identification of at-risk students and strategic interventions lead to higher persistence rates and stronger academic outcomes.
3. Efficient Resource Allocation: Data-driven insights ensure that every dollar spent on recruitment and retention delivers maximum impact.
4. Stronger Student Relationships: Personalized support fosters trust and engagement, encouraging students to remain committed to their academic journey.

Othot is more than an AI tool—it’s a comprehensive solution for transforming enrollment and retention efforts through data-driven analytics. By leveraging predictive and prescriptive insights, institutions can navigate the complexities of modern higher education with precision and confidence.

In a time when every enrollment decision counts, Othot provides a path forward, helping colleges and universities achieve their goals while supporting student success at every step.

Ready to transform your admissions yield strategies and retention efforts? Schedule a demo with Othot today and discover how data-driven decision-making can revolutionize your approach.