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Suspect & Inquiry Visibility
Students in the top decile of the APPLY prediction model apply at 13 times the rate of lower-predicted students. APPLY enables you to narrowly target your digital ads, direct mail campaigns, and counselor outreach to the students who you are most likely to influence toward application.
Why apply matters
Next-level applicant models
APPLY allows you to minimize uncertainty and reduce spending. It is the only application model in the industry that integrates machine learning and behavioral data.
Increase Confidence
Know the strength of your pool to meet your application targets.
Rank and Score Prospects
Get tremendous visibility into your inquiry and suspect pools.
Reduce Spending
Save on campaigns by directing resources to students who are likely to apply.
Augment Your Staff
Benefit from the insight and expertise of Capture’s data science team.
Hybrid Modeling
Machine Learning and Data Scientists
When all you have are data, the meaning of that data can be lost in the weeds. Machine learning insights are most useful when paired with actual human intelligence. APPLY is managed by a data science team and uses machine learning to predict which students are most likely to apply to your institution.
24-hour window
Real-Time Dashboard
Capture’s APPLY models include a real-time, interactive dashboard featuring student-level applicant rankings and predictions that are updated daily and available anytime.
outputs defined by inputs
What’s in the model?
Capture’s APPLY predictive model uses prospects’ and search names’ behavioral data in conjunction with prior years’ application data to identify students who are most likely to apply. When it comes to predictive modeling for higher ed — when it comes to using the data to make the right moves — our competitors are playing checkers. Capture is playing chess!
Apply Outcomes
Lucky 13 Times
Students in the top decile of Capture’s applicant predictions apply at 13 times the rate of lower-predicted students.
The Proof Is In The Pudding
APPLY’s success stories
Fewer Viewbooks, More Applications – Gannon University
At the beginning of the enrollment cycle, Gannon University admissions counselors analyzed the results of a Capture APPLY predictive model — a ranked list of the prospective students who were most likely to apply.
Pushing the Boundaries of Recruitment – Jefferson
In the summer of 2018, Thomas Jefferson University was preparing for their second recruitment cycle after their successful merger with Philadelphia University. The admissions team was looking to keep the momentum going.
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We want to hear from you
Do you want to find out more about Capture’s next-level predictive modeling powered by machine learning and behavioral intelligence?