Data Services

Data Services

Our wide range of data services are not only available to our Student Search clients, they’re also available to schools à la carte. No other data services provider is getting the results that we’re achieving for schools, and we’d love to do the same for you.

Data Services

Student Search Modeling

The best way to get the most out of Student Search is through custom, powerful, and results-driven modeling.

Benefits

Helps you achieve multiple strategic goals
Student Search modeling will enable you to achieve multiple strategic goals. For example, your goals could include:

  • Increasing enrollment
  • Increasing tuition revenue
  • Boosting your academic profile
  • Increasing underrepresented student enrollment
  • Entering new markets more efficiently

Saves you money
In addition, Student Search Modeling can save your school money, by helping you:

  • Purchase only the names of students who are most likely to apply and enroll
  • Segment student populations more effectively
  • Determine which students should receive additional communications, such as print and digital advertising

What sets us apart

Our models are getting great results for our Student Search clients. Here’s how:

We 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.

We take a custom approach 
What’s predictive for other schools may not be predictive for yours.

We build multiple models for each of your goals 
Similarly, what’s predictive for one goal (increasing enrollment) may not be for others (boosting revenue and entering new markets).

We tap into unique data sources
Our data warehouse includes proprietary geodemographic, behavioral, academic, and enrollment data collected from over a billion student interactions, which:

  • Enables us to construct models based on actual student behavior
  • Helps us preemptively test models against existing patterns
  • Reveals emerging shifts in the marketplace and enables us to continuously adapt to those changes

We’re also the only company that is able to tap into The College Board’s Segment Analysis Service™, which:

  • Enables us to tag your data with 150+ unique educationally relevant academic, social and economic factors that predict where students choose to go to college
  • Helps us make our models more predictive and informative

Segment Analysis Service can be applied to any student record regardless of source, and that includes your inquiry pool.

Case Studies

Our Student Search Modeling gets results, and here’s the proof. Select the goal to see the results we delivered:

Goal: To enter new markets in Southwest without increasing costs.

Strategy: We developed a model to trim names from weaker geographic areas, and redeployed resources to purchase names in specific new growth areas (AZ, NM, TX).

Result: We increased inquiries in these states between 29% and 55% (630 students); inquiries from eliminated areas fell by only 1% (22 students). So, for the same budget, we generated 608 more inquiries

Maintain effective outreach through COVID-generated turbulence

Strategy: Throughout 2020, Fire Engine RED has responded to nationwide upheavals by continually surveying younger students, testing new messaging, and adjusting modeling to capitalize on emerging trends.

Result: Despite unprecedented turmoil, our clients are seeing growth in inquiry generation in a time while many institutions struggle to even send Search campaigns.

Enter new markets without increasing costs.

Strategy: We developed a model to trim names from weaker geographic areas, and redeployed resources to purchase names in specific new growth areas (AZ, NM, TX).

Result: We increased inquiries in these states between 29% and 55% (630 students); inquiries from eliminated areas fell by only 1% (22 students). So, for the same budget, we generated 608 more inquiries.

Increase enrollment from new market 3,000 miles from campus.

Strategy: We developed a model to strategically expand into a market on the opposite coast by purchasing names of students most likely to apply and enroll. We then customized our copy/creative to appeal to students in this market.

Result: We saw dramatic increases in the yield rate AND academic quality. Yield for admitted students went up by 300%, and the average SAT score reached 1275.

Goal: To enter new markets in Southwest without increasing costs.

Strategy: We developed a model to trim names from weaker geographic areas, and redeployed resources to purchase names in specific new growth areas (AZ, NM, TX).

Result: We increased inquiries in these states between 29% and 55% (630 students); inquiries from eliminated areas fell by only 1% (22 students). So, for the same budget, we generated 608 more inquiries

Save money & increase enrollment by purchasing only the names of students most likely to apply & enroll.

Strategy: We developed a model to identify and purchase only the names of students likely to apply and enroll.

Result #1: We purchased 29.8% fewer names year over year, resulting in 24% fewer inquiries, and saving the client a total of $155,478.

Result #2: The client received 10% more applications, admitted 16% more students, and enrolled 11% more students, resulting in a return on investment of 52 times their first-year Search investment in net revenue (including discount rate).

Refine list acquisition strategy for secondary market.

Strategy: We combined our proprietary geodemographic modeling data with student-provided data to predict students’ willingness to travel. We then targeted those students as part of a Junior & Sophomore campaign.

Result We increased response rates (web form submissions and completed business reply forms) between 15% and 33%.

Meet budget-driven monthly goals of applicants likely to deposit & enroll.

Strategy: We developed a model to evaluate in-state markets, and purchased only the names of students identified as likely to apply and enroll, rather than purchasing the names of all students in the entire state. We removed 743 ZIP Codes from the Search geography used by the client’s previous vendor.

Result: We met or exceeded our client’s goals – every single month – for applications, completed applications, admits, and deposits. Year-end goals for completed applications and admits were met in March.

Recorded Webinar

View our informative, 40-minute recorded webinar, “How to Boost Your Search ROI Using Predictive Modeling & Segment Analysis Service.”

Data Services

Inquiry Scoring

From the moment of inquiry, our models will predict, tag, and rank an individual student’s likelihood of applying to your school.

Benefits

Helps you plan more effectively
The sooner you know who’s going to apply, the better you can plan.

Saves you money
Knowing who is likely to apply allows you to make data-driven budget cuts and eliminate expensive communications to students who are unlikely to apply.

Enables you to redeploy resources to where they matter most
You will also be able to deploy your limited resources towards communicating with the right students, through the right channels (e.g., print, texting, digital), to efficiently grow your applicant pool.

Enables you to evaluate the effectiveness of your inquiry sources
In a fast-evolving recruiting landscape, we can quickly assess and quantify the relative value of new inquiry sources and other outbound communications.

What sets us apart

We’re getting great results for our inquiry scoring clients. Here’s how:

We take a custom approach
What’s predictive for other institutions is unlikely to be predictive for yours.

We develop an individualized score for each student
Every student approaches your school differently. While many models cluster students into a simple grid, we don’t. Instead, we create an individualized score for each student on the basis of their specific information.

We use behavioral data to enhance our modeling 
From campus visits to parental communications to student engagement (e.g., website visits, campaign clicks, text opens, inbound phone calls) – every interaction signals interest in your school. We weigh each behavior independently to further sharpen our predictions.

We tap into unique data sources
Our data warehouse includes proprietary geodemographic, behavioral, academic, and enrollment data collected from over a billion student interactions, which:

  • Enables us to construct models based on actual student behavior
  • Helps us preemptively test models against existing patterns
  • Reveals emerging shifts in the marketplace and enables us to continuously adapt to those changes

We’re also the only company that is able to tap into The College Board’s Segment Analysis Service™, which:

  • Enables us to tag your data with 150+ unique educationally relevant academic, social and economic factors that predict where students choose to go to college
  • Helps us make our models more predictive and informative

Segment Analysis Service can be applied to any student record regardless of source, and that includes your inquiry pool.

Case Study

Select the goal to see the results we delivered:

Goal: To enter new markets in Southwest without increasing costs.

Strategy: We developed a model to trim names from weaker geographic areas, and redeployed resources to purchase names in specific new growth areas (AZ, NM, TX).

Result: We increased inquiries in these states between 29% and 55% (630 students); inquiries from eliminated areas fell by only 1% (22 students). So, for the same budget, we generated 608 more inquiries

Save money on marketing to low-yielding inquiries.

Strategy: We used inquiry scoring to identify low-yielding cohorts in an effort to save money (e.g., not send them expensive print mailings).

Result: After identifying the bottom half of the inquiry pool (24,415 names), and adjusting for campus visits, the client chose not to send print pieces to 22,750 of those students. This resulted in an estimated savings of $273,000. Ultimately, only five (5) enrolled students came from the bottom half of the inquiry pool.

Data Services

Alumni & Sibling Matching

We can identify legacy students and younger siblings in your data at any point in the recruitment cycle, from Search lists to applicant pools.

Benefits

Helps drive improved application rates, yield rates
Students who already have a relationship with your school – children of alumni, or siblings of current students – are significantly more likely to apply and enroll.

Enables you to deliver specific messaging
Alumni and sibling matching provides the opportunity to deliver specific messaging to students who already have a relationship with your school.

Improve alumni relations
Alumni matching will also help you preempt calls from alumni asking why you’re not recruiting their children!

What sets us apart

We’re the only company in the admissions market that provides this service.

Case Studies

Select the goal to see the results we delivered:

Goal: To enter new markets in Southwest without increasing costs.

Strategy: We developed a model to trim names from weaker geographic areas, and redeployed resources to purchase names in specific new growth areas (AZ, NM, TX).

Result: We increased inquiries in these states between 29% and 55% (630 students); inquiries from eliminated areas fell by only 1% (22 students). So, for the same budget, we generated 608 more inquiries

Identify unknown legacy students.

Strategy: We used alumni data to find previously unidentified legacy matches on the client’s purchased Search lists and in their inquiry pool. Then, we sent those students specifically targeted messages.

Result #1: We discovered over 1,000 new potential legacy students for our client.

Result #2: This newly identified legacy cohort applied at a rate of 36% (367/1,023), a 75% increase over the school’s overall 20% inquiry-to-applicant rate.

Goal: To enter new markets in Southwest without increasing costs.

Strategy: We developed a model to trim names from weaker geographic areas, and redeployed resources to purchase names in specific new growth areas (AZ, NM, TX).

Result: We increased inquiries in these states between 29% and 55% (630 students); inquiries from eliminated areas fell by only 1% (22 students). So, for the same budget, we generated 608 more inquiries

Use alumni data to identify siblings who are legacies or siblings of previous applicants.

Strategy: We used our client’s historical applicant records to identify likely younger siblings of currently enrolled or previous applicants.

Result: We matched over 3,000 new potential sibling-related students for the classes of 2019 – 2022. Of the 1,409 matches in the class of 2019, 258 applied, and over 77 enrolled.

Data Services

Communications Modeling

Print, digital, and texting are all powerful and effective ways to reach students (and their parents).

Goal: To enter new markets in Southwest without increasing costs.

Strategy: We developed a model to trim names from weaker geographic areas, and redeployed resources to purchase names in specific new growth areas (AZ, NM, TX).

Result: We increased inquiries in these states between 29% and 55% (630 students); inquiries from eliminated areas fell by only 1% (22 students). So, for the same budget, we generated 608 more inquiries

Test the impact of print.

Strategy: We sent print and email to 50% of randomly selected students. The other 50% received email only.

Result #1: The response rate for students who received print and email was 18% higher than for students who received email only. Important: We define a “response” as a web form submission or completed business reply form.

Result #2: Print also drove improved response rates for key recruitment cohorts, including a 25% increase for underrepresented students and a 21% increase for male students.

Goal: To enter new markets in Southwest without increasing costs.

Strategy: We developed a model to trim names from weaker geographic areas, and redeployed resources to purchase names in specific new growth areas (AZ, NM, TX).

Result: We increased inquiries in these states between 29% and 55% (630 students); inquiries from eliminated areas fell by only 1% (22 students). So, for the same budget, we generated 608 more inquiries

Encourage high school seniors, who had not yet inquired or applied, to visit campus.

Strategy: We used test scores and drive time from campus to create a model, and targeted high-achieving students with specific digital ads inviting them to attend campus visit days.

Result #1: Students who received targeted digital messages were nearly three times as likely to visit campus, and twice as likely to apply and be accepted.

Result #2: Targeted students yielded at rates similar to other admits.

Result #3: A fairly modest investment in digital helped drive 22 more students to enroll.

Data Services

Phone Number Identification

Calling students is another way to supplement your recruiting efforts and build relationships with students, especially when recruitment travel and campus visits may be limited.

Benefits

Enhance counselor communication
We can provide you with the phone numbers you’re missing for your targeted prospects. For example, we can provide you with the phone numbers for students who live within 60 miles of campus.

What sets us apart

We’re the only company in the admissions market that provides this affordable service.

Case Study

Select the goal to see the results we delivered:

Goal: To enter new markets in Southwest without increasing costs.

Strategy: We developed a model to trim names from weaker geographic areas, and redeployed resources to purchase names in specific new growth areas (AZ, NM, TX).

Result: We increased inquiries in these states between 29% and 55% (630 students); inquiries from eliminated areas fell by only 1% (22 students). So, for the same budget, we generated 608 more inquiries

Encourage students who’d opened multiple Student Search campaign messages, or clicked on a link, to complete an inquiry form.

Strategy: Fire Engine RED ran the list of 671 students through our phone number matching service, resulting in 450 matched phone numbers. The university provided the numbers to their group of tele-counselors, who reached out to those individual students.

Result: Of the 450 students who were called, 12 applied, 10 were admitted, and three deposited. We tagged prospect records with phone numbers – within a few business days and for a cost of less than $200 – which contributed to the enrollment of three additional students, resulting in hundreds of thousands in net revenue.