Higher education teams often struggle with two competing pressures. They need dependable content that answers recurring student questions, but they also need distinctive ideas that prevent the institution from sounding like every competitor.
The 70/20/10 content marketing formula provides a useful way to balance those needs:
- 70% proven content: essential, repeatable information that supports student decisions
- 20% differentiated content: deeper, evidence-led material that demonstrates institutional expertise
- 10% experimental content: controlled tests of new formats, topics, channels, and creative approaches
The percentages should not be treated as an inflexible rule. A university launching a new program, a language school entering a new market, and a private school approaching an enrollment deadline may require different content mixes. The value of the model is that it prevents a calendar from becoming either entirely routine or entirely experimental.
What Is the 70/20/10 Content Marketing Formula?
The 70/20/10 model was popularized in brand and advertising strategy as a way to divide content investment among dependable activity, innovation, and experimentation. In higher education, it can be adapted to support program discovery, evaluation, application, enrollment, and retention.
The modern version should not be designed to satisfy “search engine robots.” Google’s current guidance emphasizes helpful, reliable, people-first content that provides original information, complete answers, clear expertise, and value beyond what is already available.
For schools, the framework should answer three questions:
- What information must every serious prospective student be able to find?
- What evidence and perspective make our institution meaningfully different?
- What new ideas are worth testing without risking the entire content program?
The 70%: Proven, Decision-Critical Content
The largest share of the content portfolio should address recurring student needs with accurate, durable, and easy-to-maintain information.
This content is not “low quality,” “safe filler,” or link bait. It is the foundation of the student journey and should often receive the highest level of institutional review.
Examples of 70% content
- Program, credential, duration, and delivery-format pages
- Admissions requirements and application steps
- Tuition, fees, funding, scholarships, and payment information
- Curriculum and course-sequence explanations
- Career pathways and further-study options
- Campus, housing, transportation, and accessibility information
- Student-support and international-student resources
- Frequently asked questions from admissions teams
- Application, portfolio, visa, and document checklists
- Evergreen guidance for parents, employers, agents, or counsellors
These pages should be connected to the institution’s enrollment priorities. A program with available capacity, a new intake, or a high level of student confusion may require more supporting content than a mature program with stable demand.
Core content should also have a clear owner. Admissions may own application requirements, finance may own fee information, and academic teams may own curriculum details. Marketing can coordinate structure, search intent, accessibility, and publication, but subject-matter owners must confirm accuracy.
How to improve the 70%
- Use student and parent language instead of internal terminology.
- State dates, fees, locations, and requirements clearly.
- Update pages when policies, programs, or intakes change.
- Link supporting articles back to the relevant program or admissions page.
- Provide a logical next action based on the reader’s stage.
- Use accessible headings, captions, alt text, and form instructions.
- Consolidate duplicate pages rather than publishing minor keyword variations.
HEM’s guide to building a content calendar around intakes shows how core content can be timed around the questions students ask 90, 60, and 30 days before a decision.
The 20%: Differentiated, Evidence-Led Content
The next portion should move beyond standard institutional information and demonstrate why the school deserves attention and trust.
This is where institutions can publish content that competitors cannot reproduce without access to the same people, data, programs, facilities, and experiences.
Examples of 20% content
- Original research or analysis from faculty and institutional teams
- Student projects, demonstrations, performances, and case studies
- Graduate career pathways with transparent context
- Employer, community, or professional-partner perspectives
- Comparisons that help students choose between related fields or credentials
- Detailed explanations of teaching methods or learning environments
- Program-specific webinars, workshops, and downloadable guides
- Faculty commentary on current developments
- Behind-the-scenes explanations of labs, clinics, studios, placements, or fieldwork
- Institutional data presented with methodology and limitations
The 20% should add value beyond summarizing information already available elsewhere. Google’s people-first guidance asks whether content provides original reporting, research, analysis, or substantial insight beyond the obvious.
Evidence-led content is also useful in AI-assisted search. Original first-hand experience, expert analysis, and non-commodity information give search systems and human readers a stronger reason to cite, recommend, or revisit the institution’s content.
How to develop the 20%
- Identify a priority program, audience, or decision question.
- Review what the core pages already explain.
- Find the missing institutional evidence or expert perspective.
- Select the format that communicates it best.
- Connect the asset to a program page, event, guide, or admissions action.
- Plan how it will be repurposed across email, social, video, and paid campaigns.
For example, a business program may already have a core curriculum page. Its differentiated content could include a faculty analysis of an emerging industry issue, a student consulting project, an employer interview, or a graduate career-path feature.
The 10%: Controlled Content Experiments
The experimental portion creates space to learn without turning the entire content calendar into a collection of unproven ideas.
An experiment should test a specific hypothesis. “Let’s try TikTok” is not sufficiently defined. “Short faculty demonstrations will generate more qualified program-page visits than static social posts” is testable.
Examples of 10% content
- A new short-form video series
- An interactive quiz or program-selection tool
- A live question-and-answer format
- A student-led podcast or creator series
- A new content offer or lead magnet
- An AI-assisted personalization workflow with human review
- A new distribution channel or community platform
- A different program-page content structure
- An original data visualization or interactive calculator
- A new approach to alumni or employer storytelling
Experiments still require brand, accessibility, privacy, safeguarding, disclosure, and factual review. “Experimental” does not mean ungoverned.
Define the test before publishing
- What is the hypothesis?
- Which audience and journey stage are involved?
- What is the expected action?
- Which metric will determine success?
- How long will the test run?
- What minimum evidence is needed?
- What will happen if it succeeds, fails, or produces an unclear result?
A successful experiment may move into the 20% or eventually become part of the 70%. An unsuccessful experiment can still be valuable when the team records what happened and avoids repeating the same unsupported assumption.
Apply the Formula Across the Enrollment Journey
The percentages should not exist separately from student intent. Each category should support a defined point in the journey.
Discovery
- 70%: career guides, field introductions, location pages, and program overviews
- 20%: faculty perspectives, original research, and student project stories
- 10%: new social-search formats, creator collaborations, or interactive discovery tools
Evaluation
- 70%: tuition, curriculum, requirements, outcomes, and student support
- 20%: comparison guides, detailed demonstrations, and employer evidence
- 10%: virtual experiences, quizzes, or personalized content paths
Application
- 70%: deadlines, document requirements, checklists, and application instructions
- 20%: adviser webinars, portfolio reviews, and student application advice
- 10%: new reminder, chatbot, or interactive-support workflows
Enrollment and retention
- 70%: deposits, registration, housing, orientation, and support information
- 20%: peer advice, alumni mentoring, and community resources
- 10%: new onboarding experiences or personalized retention campaigns
This alignment prevents the team from creating an attractive content mix that does not help students move toward a decision.
Use Topic Clusters to Organize the 70/20/10 Mix
The formula works best when content is organized around programs and student questions rather than published as unrelated articles.
A topic cluster can include:
- A central program or subject page
- Core admissions, tuition, curriculum, and career resources
- Differentiated evidence and expert content
- Experimental formats linked to the same student need
- Internal links guiding readers toward the next useful page
For a psychology program, the cluster might contain:
- 70%: program overview, requirements, tuition, curriculum, and career guide
- 20%: faculty research commentary, student lab project, and graduate pathway story
- 10%: an interactive “Which psychology pathway fits your interests?” tool
HEM’s guide to SEO topic clusters for schools explains how central and supporting pages can work together without competing for the same search intent.
Connect Content With a Logical Next Step
A content portfolio should not end at traffic or engagement. Each recruitment-focused asset should help the student continue the journey.
Possible next steps include:
- Explore the related program
- Compare tuition and funding
- Download an admissions checklist
- Register for an information session
- Book an adviser appointment
- Check eligibility
- Start or continue an application
The next step should match the reader’s intent. A student reading an early career guide may not be ready to apply, but may be ready to explore a program, attend a webinar, or download a planning resource.
HEM’s guide to building content paths from blog reader to inquiry provides a current framework for linking informative content with program pages, events, offers, and admissions actions.
Use AI Without Turning the 70% Into Commodity Content
Generative AI can support research, outlining, editing, translation, repurposing, and production workflows. It can also make it easier to create large volumes of repetitive content that adds little value.
Use AI to assist with:
- Organizing admissions questions into themes
- Creating first-draft outlines
- Identifying content gaps for human review
- Producing channel-specific versions from an approved source
- Improving readability and consistency
- Supporting translation workflows reviewed by qualified speakers
Do not use it to:
- Invent institutional facts, outcomes, or quotations
- Create dozens of near-duplicate location or program pages
- Replace faculty, student, or admissions expertise
- Publish unverified requirements, fees, deadlines, or career claims
- Generate personal student stories that did not occur
Google’s current guidance allows AI-assisted content when it is useful and original, but warns that scaled pages created without added value may violate spam policies.
Measure and Rebalance the Formula
The formula should be reviewed according to performance and institutional needs—not preserved simply because the percentages look balanced.
Measure the 70%
- Search visibility for priority questions
- Program-page progression
- Task completion
- Reduced repeat questions to admissions
- Applications and enrollments influenced
- Accuracy and update compliance
Measure the 20%
- Qualified engagement and repeat visits
- Links, citations, shares, and media references
- Program and event interest
- Admissions use in follow-up
- Applications influenced by the content
Measure the 10%
- Performance against the stated hypothesis
- Audience quality
- Production effort and cost
- Accessibility and moderation issues
- Potential to scale, revise, or discontinue
Connect content analytics with CRM and enrollment data where possible. A post with lower traffic can still be valuable when it supports high-intent students, admissions conversations, or a priority program.
70/20/10 Content Planning Checklist
- Define the programs, intakes, audiences, and enrollment goals the content must support.
- Audit existing pages before creating new content.
- Assign one primary URL to each important search intent.
- Protect the 70% from outdated facts and weak ownership.
- Use the 20% for original institutional evidence and expertise.
- Give every 10% experiment a hypothesis and decision rule.
- Map content to discovery, evaluation, application, and enrollment stages.
- Organize assets into program and topic clusters.
- Add a logical next step to recruitment-focused content.
- Use AI to assist people, not replace institutional knowledge.
- Repurpose approved content across channels without duplicating it blindly.
- Review the portfolio quarterly and rebalance according to results.
Frequently Asked Questions
What is the 70/20/10 content marketing formula?
It is a planning model that assigns approximately 70% of content to proven core needs, 20% to differentiated and deeper material, and 10% to controlled experiments. The percentages are guides rather than fixed rules.
What belongs in the 70% for higher education?
Program information, admissions requirements, tuition, curriculum, careers, support services, application guidance, and other recurring content students need to make decisions.
What belongs in the 20%?
Original research, faculty expertise, student projects, employer perspectives, transparent institutional data, comparison resources, and other content competitors cannot easily reproduce.
What belongs in the 10%?
New formats, channels, tools, content offers, creator collaborations, interactive experiences, and other tests with a defined audience, hypothesis, metric, and review period.
Does every institution need to publish exactly 70%, 20%, and 10%?
No. The mix should reflect enrollment priorities, team capacity, content maturity, intakes, and market changes. A new program launch may temporarily require more core content, while an established institution may invest more in differentiation.
How does the formula support SEO and AI search?
The 70% provides complete answers and clear site structure. The 20% adds original expertise and evidence. The 10% tests new ways to reach and help students. Together, they create more useful and distinctive content than keyword repetition or mass production.
How often should the content mix be reviewed?
Review it at least quarterly and before major intakes, program launches, market changes, or website migrations. Move successful experiments into the established portfolio and retire content that no longer serves students or enrollment goals.
The 70/20/10 formula remains useful when it balances reliability, differentiation, and learning. It becomes less useful when teams apply the percentages mechanically without considering student decisions, institutional evidence, content ownership, or measurable enrollment outcomes.
