Look-Alike Modeling
We know it’s getting harder to fill your enrollment funnel by using standardized test-taker lists. That’s why we like to broaden your audience by incorporating look-alike modeling.
Look-alike models use data analysis and machine learning to find new prospective students that are like your current students.
Our Approach
Collaboration is key! We discuss your enrollment goals, determine the best look-alike strategy, analyze your data, apply machine learning to identify behaviors, and build the ideal audience of households.
What to Expect
- Kickoff: We discuss your enrollment goals, and which strategies will help you achieve those goals.
- Data Request and Evaluation: We identify key data elements, analyze your data, and use machine learning to create a composite profile of the ideal applicant—one likely to apply, enroll, and succeed academically.
- Strategies: Do you want to reach new markets? Focus on first-generation students? Improve campus visit attendance? Refine financial aid strategies? We layer those goals over the model to build your audience, then walk you through the results and final strategy.
- Marketing: Finally, we start marketing to this new audience via any combination of direct mail and advertising (display, CTV, pre-roll, and social media).
Give Your Search Strategy the Boost It’s Missing
Go beyond your traditional Search strategy by reaching students outside your name buy.
Universities of all types love enrollmentFUEL
From flagship universities looking for undergraduate enrollment to graduate and online enrollment.
