Hyper-Personalized Enrollment Marketing: What it Looks Like, and How to Get There
Personalization is no longer a nice-to-have, it’s quickly becoming an expectation on the part of prospective students. But for most institutions, it still falls short: either too shallow to feel meaningful, or too manual to scale.
This paper offers a new, data-driven framework to help enrollment leaders move beyond merge fields and segmented lists—and toward truly adaptive, AI-supported student experiences. Whether you’re sending static emails or testing predictive models, this guide helps you understand what’s possible now, what’s next, and what it will take to get there.
In this paper, you’ll find:
- A four-stage model that outlines what hyper-personalization looks like at every level of data maturity
- Real-world use cases for campaigns, journeys, and touchpoints—aligned to your current capabilities
- A practical diagnostic tool to assess where you are and map the best path forward
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