Higher Ed Enrollment Case Study | NUUN Digital

THE CHALLENGE

Applications were softening in several flagship programs while the marketing budget was scrutinized harder than ever. Prospective students were doing research on AI assistants and niche blogs before the institution even entered their consideration set. Program pages ranked for their names but not for the questions students actually asked. Paid search spend was heavy on branded terms with low incremental lift.

The registrar's team and the marketing team also spoke different languages. Marketing measured MQLs; admissions measured qualified applications and yield. Leadership wanted a single KPI hierarchy that connected effort to enrollment.

THE APPROACH

Student intent research. Interviews with current students and lost-lead prospects surfaced the questions programs actually needed to answer — career outcomes, admission clarity, transferability, cost, culture.
Program content rebuilt for SEO and GEO. Quick Answer blocks, FAQ schema, outcomes data, and transparent cost/aid information engineered per program. Pages optimized for citation by AI assistants answering student research prompts.
Paid search disciplined. Branded spend right-sized; non-branded targeting tightened against program-fit audiences; creative and extensions aligned to intent. Incrementality testing on branded bidding.
CRM nurture tied to application stages. Lifecycle journeys mapped to application-stage progression. Content and timing calibrated to decision milestones rather than generic drip.
Unified KPI hierarchy. Applications, qualified applications, offers, and deposits as the KPI spine. Marketing KPIs (traffic, inquiries, MQLs) modelled as leading indicators, not vanity endpoints.

THE RESULTS

29% lift in qualified applications across priority programs year-over-year.
36% reduction in blended cost-per-applicant via paid-search discipline and content lift.
19% organic traffic growth on program hub pages.
47% AI-search citation rate on priority student prompts (Share of Model).
CRM-to-admissions handoff measured — lifecycle journeys attributed to application-stage progression.
11-point lift in yield on offers extended to digitally-sourced prospects.

CLIENT QUOTE

"The first board meeting where marketing and admissions argued from the same dashboard was the real deliverable." — Senior leader, anonymized, Anonymized leadership

SERVICES INVOLVED

RELATED CASE STUDIES

METHODOLOGY & MEASUREMENT

Applications and yield benchmarked against prior-year baselines with program-level cohort controls. Paid-search incrementality validated on branded bidding with standard holdout methodology. Share of Model tracked monthly against a pre-registered student-prompt set. Measurement charter shared with registrar and finance.

SOURCES & FURTHER READING

Google Search Central — Helpful, reliable, people-first content (ranking guidance cited in program-page rebuilds)
Schema.org — Course and EducationalOrganization types (structured data for programs and institutions)
The Common Application — Trends in college admissions (application volume benchmarks)
EDUCAUSE — Student success and digital engagement research (higher-ed technology and marketing benchmarks)
W3C — Web Content Accessibility Guidelines 2.2 (accessibility baseline for public-sector and education sites)

Case FAQ.

How long does higher-ed enrollment marketing take to move the needle?

Real lift on qualified applications typically shows in the second application cycle after a content and paid-search rebuild. Early indicators — organic traffic on program hubs, AI-search citation rate — move in the first 3–6 months.

What is GEO for university program pages?

Generative Engine Optimization means structuring program pages so AI assistants cite them when a prospective student asks about careers, outcomes, admission, cost, or transferability. Quick Answer blocks, FAQ schema, outcomes data, and transparent cost/aid information are the levers.

Should universities still invest in branded paid search?

Yes, but less than most do. Incrementality testing on branded bidding usually finds a reallocation opportunity — spend comes off high-share branded terms and onto non-branded program-intent terms where the institution wasn't showing up.

How do you tie marketing to actual enrollment, not just inquiries?

Applications, qualified applications, offers, and deposits are the KPI spine. Inquiries and MQLs are modelled as leading indicators, not vanity endpoints. Closed-loop reporting between the CRM and the student information system is the prerequisite.

What's the difference between an MQL and a qualified application?

An MQL is a marketing-generated inquiry scored against engagement signals. A qualified application is a submitted application that meets the program's documented academic and completeness criteria. For enrollment marketing, the second is the outcome worth optimizing against.

Can this approach work for graduate programs and continuing education?

Yes — usually better. Grad and continuing-ed prospects are more research-intensive, more AI-assistant-native, and more responsive to transparent outcomes content. The GEO discipline maps well to their buying behavior.

An enrollment turnaround that respected the student's journey.

Outcome

Numbers the CFO will actually defend.