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Platform>Predictive Modeling>Apply

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.

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Screenshot of APPLY product dashboard
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.

charts in APPLY product dashborad
 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.
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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.
Real Time statistics on APPLY dashboard
Apply screen shot for prospects and search names
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.

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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?

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Capture Higher Ed