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

Benefits of Student Search Modeling

Helps you achieve multiple strategic goals
The best way for you to achieve multiple strategic goals is through the use of Student Search modeling. 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 our Student Search Models 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.

Student Search Modeling Case Studies

Our Student Search Modeling gets results, and here’s the proof.

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

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.

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%.

Strategy: We developed a predictive 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.

Strategy: We developed a predictive 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).

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

Benefits of Inquiry Scoring

Helps you plan more effectively
The sooner you know who’s going to apply, the better. From the moment of inquiry, our models  predict, tag, and rank an individual student’s likelihood of applying to your school.

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 our Inquiry Scoring 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.

Inquiry Scoring Case Study

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.

Recorded Webinar

Watch our valuable, 30-minute recorded webinar, “How to Use Inquiry Scoring to Help You Make Your Class and Save Money.”

Data Services

Alumni Matching

Benefits of Alumni Matching

To drive better application rates and yield, we can identify your alumni’s children on your purchased Search lists and in your inquiry pool, and then craft legacy-specific messaging. Alumni matching will also help you preempt calls from alumni asking why you’re not recruiting their children!

Note: Alumni matching data can be used to enhance inquiry scoring as well.

How do we do it?

We’ve developed a unique process to identify legacy students within purchased names, among inquiries, or your applicant pools.

Alumni Matching Case Study.

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.

Data Services

Sibling Matching

Benefits of Sibling Matching

To drive better application rates and yield, we can identify your current students’ siblings.

How do we do it?

We’ve developed a unique process to identify sibling matches (currently enrolled or previously applied) within purchased names, among inquiries, or your applicant pools.

What sets our Sibling Matching Apart

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

Sibling Matching Case Study

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.

Is Print Still Effective?

Print remains a powerful, effective way to reach students (and their parents). Here’s the proof:

Junior & Sophomore Search, Print A/B Test

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.

Data Services

Digital Modeling

Benefits of Digital Modeling

We’ll help you increase campus visits, completed applications, and enrollment deposits by identifying and targeting the right students (and parents) to receive timely, relevant messaging.

Also, if you can’t afford to reach out to everyone, we can help you identify and target where digital messages will be most impactful.

What sets our Digital Modeling Apart

We leverage an extraordinary breadth of data, including our own historical data, institutional patterns, and Segment Analysis Service to carefully select cohorts of students who should receive additional digital outreach.

Digital Modeling Case Study

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

Enhanced Segmentation Modeling

Benefits of Enhanced Segmentation Modeling

We can help you shape your class and meet institutional goals by further refining your purchased Search lists (or inquiry pool) to target the most desirable students. We do so by appending, at the student level, key data that’s not available through list purchase services. This could include institution-specific, actionable data, such as income bands, legacy students, distance from campus, urban/rural, etc.

What sets our Enhanced Segmentation Modeling Apart

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

Enhanced Segmentation Case Studies

Case Study #1 – Junior & Sophomore Search

Strategy: We tagged student records with location information (rural, suburban, or urban) and predicted family incomes. We then sent students in rural areas targeted messaging about financial aid.

Result: Our client saw a 13% increase in inquiries from rural areas – the first increase in seven years.

Case Study #2 – Junior, Sophomore & Freshman Search

Strategy: We leveraged a combination of list-source data, including academic interest, gender, and race/ethnic identifiers, along with indicators such as predicted family income and propensity to travel out of state for college. Then, we sent print to students who were most desirable but least likely to respond to an electronic-only campaign.

Result: Despite reducing print mailings by one-third, response rates for the most-desirable students fell by only a fraction of one percent.

*Important: We define a “response” as a web form submission or completed business reply form.
Data Services

Phone Number Identification

Benefits of Phone Number Identification

We’ll provide you with the phone numbers you’re missing for your hottest prospects. Want phone numbers for a recent name buy, prospects within an hour’s drive of campus, or applicants who didn’t provide a phone number? Bring us your challenge – we’ll do our best to help!

In any case, reaching students over the phone is a great way to establish one-to-one, personal contact.

What sets our Phone Number Identification Service Apart

We’re the only company in the admissions market that provides this service … and we make it simple, fast, and affordable.    

Phone Number Identification Case Study

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.