Win 2026 Enrollment: AI Findability, Mobile UX, Human Stories

Why AI answer engines are the new front door for prospective students Structuring content for discoverability (and what "canonical" actually means) Mobile program pages: what makes them scan-friendly and what still fails Moving from vanity metrics to pipeline metrics: tracking what matters Behavior-based segmentation: how to get past demographics and personalize at scale Automation vs. human follow-up: where the line should be Shifting from prestige to people: real stories, real outcomes, real trust Risks of over-automation and the myth of the homepage as your front door Concrete steps for auditing content, UX, and measurement this quarter References: Higher Education Marketing Institute, The Evolllution, Vanessa Marquez-Kramme (NYU) Learn more about the Higher Education Marketing Institute: Website: https://highereducationmarketinginstitute.com/ X: https://x.com/HEMInstitute LinkedIn: https://www.linkedin.com/company/higher-education-marketing-institute/ YouTube: https://www.youtube.com/@HigherEducationMarketing