

Implicit Marketing: Understanding Your Target Prospects (part 2)
The first step in reevaluating your implicit messaging is understanding your prospective students more fully. Each group of likely students will view your school through a different lens. First-generation high school graduates with immigrant parents may need to see more students like themselves represented in your materials, while a “some college, no degree” entering student may be more impressed by the range of flexible options that allow them to change their course load to accommodate their family and work lives.
Pillars of Higher Ed Enrollment Marketing: Continuous Analysis and Optimization
The only constant in life and business is change. The ability to adapt and evolve is critical for sustained success. By delving into the metrics and employing strategic optimization, colleges and universities can secure a competitive advantage, can boost efficiency and effectiveness over time and improve ROI.
How To Attract Underserved Students with Implicit Marketing (part 1)
Enrollment marketing is more challenging than ever with the changes rocking higher education and the demographic enrollment cliff. Plus, with the changes to diversity recruitment brought on by the Supreme Court decision about affirmative action, it is incumbent upon higher education institutions to find ways to ensure that underserved students—low-income, BIPOC, and first-generation—continue to enroll.
Recent Posts

OUR LATEST WHITEPAPER
3rd Annual Parent & Student Survey
The New Rules Of Higher Education Marketing
How AI and Shifting Family Priorities are Reshaping Student Recruitment
AI isn’t new. It’s normal. Students and parents alike are increasingly using LLMs for research – for everything from homework help to their best options for higher education. If families already use AI to choose, the question is: how is your institution meeting them there? Our latest whitepaper outlines how to publish AI-readable answers to the most asked questions, making your value legible to both humans and machines.

