Putting EOS to Work
How to Use Your Data
EOS gives you the data you need to drive your applications and enrollment. With EOS, you identify prospective students using richly detailed information that lets you focus your recruiting dollars and messages.
Use EOS to:
- Specify search criteria using a wide variety of student geographic, personal, and academic characteristics
- Receive real-time volume estimates for the populations you specify
- Acquire needed data to build a successful freshmen class
- Download selected records immediately
You can also view current and prior-year searches and access updated student pool volumes.
Student data is updated after information collected with each test administration has been processed. All dates are tentative and subject to change. After the first load (date shown in center column), additional records will be added weekly until all processing has been completed, marked by the date in the final column.
ACT EOS Data Load Schedule for 2017-2018:
|ACT National Test Date||First load of available ACT EOS records||Complete set of available ACT EOS records|
|September 9||September 25||October 23|
|October 28||November 13||December 11|
|December 9||December 25||January 22|
|February 10||February 26||March 26|
|April 14||April 30||May 28|
|June 9||June 25||July 23|
|July 14||July 30||August 27|
*State and District Testing Dates Coming Soon!
PreACT Data Are Now Available
Accessing the names of PreACT®-tested students allows you to begin your recruitment of students earlier in their decision-making process.
On September 15, 2017 the names of more than 100,000 PreACT test takers were added to the ACT® Enroll platform. More PreACT test takers were added to ACT Enroll on December 27, 2017, and additional sets of PreACT test takers will be available on May 21 and July 16, 2018.
Watch this page and upcoming communications from ACT for more information.
The modeling data predicts four enrollment behaviors:
- How likely a student is to enroll out of state (Mobility Index)
- How likely a student is to enroll at a private college or university (Institution Type Index)
- The selectivity of the institution at which a student is most likely to enroll (Selectivity Index)
- The size of the institution at which a student is most likely to enroll (Institution Size Index)
Benefits of Using Predictive Modeling Data
Predictive modeling gives you information that allows you to more precisely segment and target students you recruit—which can save valuable time and money.
The predictive modeling data appended to each record allows you to determine if students want your type of institution or its location. This information can help you make strategic decisions about which students to contact with print material or email, and how to message those students you contact.
For example, imagine that your institution is a large, public university of medium selectivity. The students most likely to enroll at your institution would have a:
- Lower score on the Institution
- Type Index (indicating they are more likely to enroll at a public institution)
- Higher score on the Institution Size Index
- Medium score on the Selectivity Index
Further, in-state students would have a lower score on the Mobility Index (indicating they were not likely to enroll out of state).
In contrast, in-state students who aren't looking at your type of institution may have a:
- High score on the Mobility Index
- High score on the Institution Type Index
- High score on the Selectivity Index
- Low score on the Institution Size Index
Talk with your enrollment consultant or student search consultant. If your institution uses outside consultants for general enrollment strategies or student search strategies, you will want to discuss uses of ACT EOS predictive modeling data with them.