Liaison Othot empowers enrollment leaders to move beyond reactive decisions to predictive precision by optimizing financial aid impact, maximizing yield, and shaping the class you want to enroll. In this session, the Othot Product Management team will reveal how institutions are using AI-driven analytics to allocate impact awards strategically, simulate admissions decisions before committing, predict student yield likelihood at the individual level, and mitigate summer melt.

• Shape Your Class with Confidence: Learn how Othot’s predictive analytics platform can simulate admissions decisions and their enrollment outcomes before you commit to ensure you build the class profile, diversity, and quality you're targeting while meeting enrollment goals.

• Simulate Financial Aid and Tuition Strategy: Discover use cases such as analyzing the impact of appeals, simulating next year's merit and need strategies, and modeling tuition increase scenarios.

• Mitigate Summer Melt: See how predictive analytics can identify deposited students who may be unlikely to make it to census day next fall and what actions you may be able to take to mitigate that risk, enabling you to deploy the right financial aid, messaging, and support to convert your deposited students into next fall’s first-year class.