Big Data

Predictive Modeling

Looking to maximize your Student Search ROI? We strongly recommend using our Predictive Modeling service.

Benefits of Predictive Modeling.

We’ll use Predictive Modeling to help you achieve your strategic goals, such as increasing enrollment and tuition revenue; boosting your academic profile; and entering new markets more efficiently.

Predictive Modeling can also save your school money, by helping you purchase only the names of students who are most likely to apply and enroll … and determine which students should receive additional communications, such as print and digital advertising.

Unrivaled data expertise.

Our all-star team of data professionals has admissions experience … and is led by a seasoned enrollment strategist:

fire-engine-red-search-strat-jeff

Jeff McLaughlin 
Executive Vice President of Enrollment Data, Strategy & Analytics; previously Dean of Admissions and Financial Aid at St. Olaf College.
LinkedIn profile

What sets our predictive models apart?

A variety of factors, including …

Our focus on applications and enrollment. We start with the end in mind: enrollment. That means we identify students who are most likely to apply and enroll, not just inquire.

Our multiple, custom models. We build custom models to address your specific goals. For example, if your goals are to increase diversity and revenue, we’ll create two distinct models – one for each goal.

Our unique data sources. In addition to your historical data, commercially available data, and our own proprietary data, we’re able to tap into Segment Analysis Service™, which:

Our results. Our data team has scored big wins for small private colleges, single-sex colleges, large public universities, niche colleges, and more. (See case studies below for examples.)

Case Studies.

Here are just a few examples of our big wins for clients …

Case Study 1

Junior & Sophomore Search – Small Southern Private College

The Goal:
Increase inquiries in PRIMARY markets.

Predictive Model:
Used our client’s historical data and our unique data sources … and added new data feeds at a key time of year.

The Result:
Inquiries in PRIMARY markets went UP 48% (991 to 1,467) year-over-year.

 


 

Case Study 2

Junior Search – Mid-Atlantic Private College

The Goal:
Increase inquiries in three NEW markets.

Predictive Model:
Used our client’s historical data and our unique data sources … and identified likely-to-apply students from three distant states.

The Result:
Inquiries in three NEWLY targeted states went UP 83% (305 to 557) year-over-year.

 


 

Case Study 3

Junior Search – Large Southern Flagship University

The Goal:
Increase exposure on the WEST coast.

Predictive Model:
Used our client’s historical data and our unique data sources … and identified likely-to-apply students from across the country.

The Result:
Inquiries on the WEST coast are UP 282% (144 to 550) year-over-year.

 

In partnership with Maguire Associates …

Fire Engine RED has teamed up with Maguire Associates to provide our clients with modeling expertise that extends beyond Student Search to:

See our Strategic Partners page on how our partnership with Maguire Associates can benefit you and your school.