The years ahead will be anything but boring for college admissions officers. Fromdemographic changes and increasing college competition to budget cuts and evolving approaches for admissions requirements — not to mention tectonic federal policy shifts and the rapid proliferation of artificial intelligence — the field is as fluid as ever.
Those topics and more were under discussion at the Sept. 18-20 annual conference of the National Association for College Admission Counseling in Columbus, Ohio.
While there are many forces outside the control of the admissions office, attendees tuned into the internal challenges and opportunities they’re navigating. Panelists, for instance, dug into data on diversity in college enrollment, how to best prepare future students for college math classes and when to deploy AI in institutional operations.
Here’s an in-depth look at some of the most interesting conversations Higher Ed Dive heard at NACAC’s 2025 conference:
From generative AI to shifting student expectations, higher ed marketing in 2025 is a whole new game. And institutions that fail to adapt risk falling behind.
The past few years have brought seismic shifts to the way colleges and universities connect with prospective students. From AI-driven search to heightened public scrutiny of higher education’s value, the marketing landscape looks very different than it did even three years ago.
Institutions now operate in an environment where:
Search behavior is changing as generative AI delivers instant answers that bypass traditional search results.
Trust is under pressure as students and families weigh the true return on a college investment.
Student journeys are more complex with expectations for personalized, multi-channel engagement from first inquiry through alumni relations.
Data integrity is paramount as analytics get clouded by bots and misleading signals.
The good news? These changes also open new opportunities for colleges and universities to stand out with authentic storytelling, data-driven strategies, and student-centered engagement.
Keep reading to discover five of the most important higher education marketing trends in today’s landscape — and how institutions can adapt to thrive in this new era.
5 Higher education marketing strategies to keep your institution ahead
Before diving into the specifics, it’s important to recognize that these strategies build on one another to reflect today’s most pressing challenges and opportunities in higher ed marketing.
Here’s a closer look at the strategies every institution should be considering today:
1. Optimizing for the AI searcher
Generative AI is redefining how prospective students find information. Zero-click searches — where answers appear directly in AI Overviews like Google’s AI-generated summaries or conversational search tools — now account for the majority of queries. That’s a paradigm shift for higher ed marketing.
Organic traffic has dropped dramatically, in some cases by more than 30%. But while volume is down, conversion rates are rising, as the students who do land on institutional websites are more informed and further along in their decision-making.
Strategic response To adapt, institutions must embrace Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). This means:
Creating structured, conversational content designed for AI retrieval.
Prioritizing FAQs, clear definitions, and outcome-driven data.
Diversifying traffic sources with a mix of SEO, paid campaigns, and strong digital experiences.
This is no longer just an SEO shift. It’s a cornerstone of higher education marketing strategy for 2025 and beyond.
2. AI-supported, human-centered creative
AI is now embedded in higher ed marketing workflows, helping generate campaign ideas, personalize messaging, and predict outcomes. But the real competitive edge comes when AI enhances, not replaces, human creativity.
Approach for higher education marketing teams
Use AI to accelerate production: ideation, headlines, personalization cues.
Keep teams focused on authentic, human-driven storytelling.
Build a culture that values both technological fluency and creative intuition.
This approach delivers efficiency while preserving empathy — critical when communicating complex outcomes like institutional ROI or program value. This balance is what separates innovative higher education marketing trends from short-lived tactics.
3. Building institutional trust
Public skepticism about the value of higher education is rising. Families are asking: Is the investment worth it? What outcomes can we expect? With the demographic cliff looming, institutions must double down on proving their value.
Strategic levers for higher ed marketing
Spotlight outcomes: Share data on job placement, graduate earnings, and alumni success stories.
Showcase testimonials: Humanize ROI with student voices and career impact narratives.
Reinforce program value: Use research and rankings to strengthen credibility.
Trust is now a competitive differentiator. Institutions that clearly communicate value, ROI, and outcomes position themselves for long-term success in a skeptical environment.
4. Cross-lifecycle marketing
Higher education marketing strategy can no longer stop at the inquiry. The student journey is long, nonlinear, and filled with digital touchpoints that extend well past enrollment.
How to approach it
Use remarketing to reinforce brand and program value throughout the funnel.
Engage students across the lifecycle — from inquiry to enrollment to retention and even alumni relations.
Tailor content to each stage, aligning messages to nurture confidence, reduce uncertainty, and strengthen connection.
Success isn’t always about clicks or form fills. Sometimes the goal is reassurance, engagement, or retention. Adopting lifecycle-based KPIs ensures institutions are measuring what truly matters.
5. Bot mitigation
Bot traffic is a growing challenge for institutions. Automated hits can inflate website visits, distort engagement metrics, and ultimately mislead decision-makers about which campaigns are working. When analytics are clouded by non-human activity, institutions risk allocating resources to the wrong strategies and missing opportunities to connect with real prospective students.
Best practices for higher ed marketing teams
Set up filters in Google Analytics to remove known bot traffic.
Partner with bot mitigation providers to extend protections to include inquiry and application forms, safeguarding against fraudulent submissions.
Regularly audit campaign data to ensure accuracy.
Clean data leads to better decisions and in higher education marketing, clarity is non-negotiable.
Embracing the future of higher ed marketing
The most effective higher education marketing strategies today are those that combine technology with authenticity. AI search and personalization will continue to evolve, but the fundamentals remain constant: institutions must build trust, deliver value, and guide students throughout their entire lifecycle.
Collegis Education partners with institutions to design and deliver data-enabled marketing strategies that drive enrollment, build trust, and support student success. Let’s talk about what that could look like for your campus.
Innovation Starts Here
Higher ed is evolving — don’t get left behind. Explore how Collegis can help your institution thrive.
Ashley Nicklay is the Senior Director of Student Lifecycle at Collegis Education, where she focuses on strengthening the connection between marketing and enrollment to create a seamless, student-centered journey. With more than 15 years of higher education experience, Ashley has seen firsthand the powerful outcomes that emerge when these functions work together. In her current role, she is committed to advancing that collaboration—not as separate silos, but as one team supporting every step of the student experience.
This fundamental shift demands a re-evaluation of how we evaluate, measure, and evolve our SEO and website marketing efforts. For higher education institutions, staying ahead of this curve isn’t just about visibility; it’s about connecting with prospective students in new and impactful ways.
The world of Search Engine Optimization (SEO) is in constant flux, and never has this been more evident than in the current era of artificial intelligence. AI-driven search experiences are fundamentally shifting how prospective students search for schools and programs, and what worked yesterday won’t be enough to drive success going forward.
Gone are the days when organic traffic and keyword rankings were the sole arbiters of SEO success. While still important, the reasons for their diminishing effectiveness are becoming increasingly clear:
Traffic is no longer a perfect proxy for exposure: With the rise of AI-powered search features like Google’s AI Overviews, users are increasingly finding answers directly on the Search Engine Results Page (SERP) without needing to click through to a website. This “zero-click” phenomenon means your content can provide value and influence prospective students even if it doesn’t result in a website visit. A high ranking might lead to less traffic if the answer is provided directly on the SERP, skewing traditional traffic metrics.
Keyword rankings don’t capture semantic understanding: AI excels at understanding natural language and user intent. While a keyword ranking tells you if you’re visible for a specific phrase, it doesn’t tell you if your content is truly satisfying the underlying need or being recognized as authoritative for a broader topic. Users are asking more complex questions, and AI is providing more nuanced answers, making a simple keyword ranking less indicative of true search performance.
The Rise of AI Overviews and Our “AI Density” KPI Approach
Google’s AI Overviews (formerly Search Generative Experience) are transforming how information is consumed. These AI-generated summaries appear prominently at the top of the SERP, synthesizing information from multiple authoritative sources to provide immediate answers.
Google AI Overview example within a higher education SERP
For higher education marketers, this means that even if a user doesn’t click on your link, your institution’s content can still be featured, influencing their perception of your brand and their enrollment decision-making. With this, it is necessary to expand your measurement framework to encompass new KPIs; one such KPI is AI density.
AI density measures how often your institution’s content is cited or referenced within AI Overviews for relevant queries. This KPI goes beyond clicks, focusing on the ultimate visibility and attribution your brand receives within these AI-powered summaries. A high AI Density signifies that your content is considered a trusted and valuable source by AI models, driving more visibility among high-intent prospective students.
How to Influence Your Website’s AI Density:
Optimize for authority and trustworthiness: AI models prioritize content from credible and authoritative sources. Focus on building E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) through high-quality, in-depth content, expert authors, and strong internal and external linking.
Structure your content for AI readability: Use clear headings, concise answers to common questions, and structured data (schema markup) to help AI models easily understand and extract information from your pages.
Analyze source citations: Pay attention to which websites Google’s AI Overviews are sourcing their information from. Are you among them?
Beyond the Click: Other Essential Modern SEO KPIs
While AI density is a powerful new addition, a holistic view of your SEO performance in the AI era requires tracking a broader set of KPIs. Here are some that will become increasingly vital:
Search Share of Voice: This metric moves beyond individual keyword rankings to assess your institution’s overall visibility for a set of relevant topics or queries compared to your competitors. In the modern search landscape, this encompasses your website, your social media presence, your external brand mentions, and more.
On-Platform Visibility: Students are searching on more platforms than ever before, from social platforms like Reddit, YouTube, and TikTok, to chatbots like ChatGPT, Gemini, and Claude. Your SEO strategy needs to consider visibility on these platforms, and your KPIs should reflect your presence and engagement there.
Brand Search Volume: As AI provides direct answers, users may be exposed to your brand without visiting your site. Monitor branded search queries in Google Search Console and Google Trends. An increase in branded searches indicates growing brand awareness and recall, even if the initial search didn’t lead to a click.
Engagement Quality (Beyond Bounce Rate): Instead of solely focusing on bounce rate, delve into metrics that indicate true engagement. Look at “engaged sessions” in GA4, video views, downloads of resources, and repeat visits. These metrics show that your content is truly resonating with users, even if the conversion isn’t immediate.
Conversion Influence (aka Assisted Conversions): SEO’s role in the user journey is becoming more complex. It might not always be the last click, but it often initiates or assists a conversion. Utilize GA4’s attribution models to understand how organic search influences conversions further down the funnel, even if other channels get the “last click” credit.
Adapting for the Future
The shift in the SEO landscape is not a threat but an opportunity for marketers to become more strategic and meet prospective student needs more effectively. By evolving our KPIs to reflect the realities of AI-powered search, higher education institutions can gain a deeper understanding of their online performance and adapt their strategies to thrive.
EducationDynamics is committed to helping institutions navigate this evolving digital terrain. By focusing on these modern KPIs, you can ensure your SEO efforts are not just about ranking for keywords, but about building genuine visibility, authority, and engagement in an increasingly intelligent search environment. Contact us to learn how we can support your strategy.
Last time we checked in with Lee Bradshaw, the founding CEO of Rhodes Advisors, he shared insights into how universities might grow online programs without breaking the bank. As a follow-up, I wanted to pick Lee’s brain about what he is hearing from the higher education leaders he works with on the evolving online program landscape.
Q: As the online program ecosystem has grown and a few large universities have invested heavily in scaling their offerings, do you still see room for colleges and universities to enter the online degree market?
A: Yes, the demand is still there, but the landscape has changed. We’re supporting universities launching new programs that achieve substantial first-term numbers—even in saturated markets. Growth is happening, but expecting 1,000 percent five-year ROIs like a decade ago isn’t realistic. Universities must temper expectations and/or focus on innovative, sustainable wins. That said, as we address in your third question later, I’m unaware of many investments an institution can make that carry a 275 percent ROI over five years.
If institutions want to launch online degrees that start strong and stay strong, here are four things they should prioritize.
Market research that drives big decisions. Legacy OPMs excelled at data-driven market research before launching a program. Universities taking control of their growth need to do the same. Predictive, high-quality market research isn’t cheap or easy, but it’s indispensable. I’m bullish on how AI-facilitated deep research is advancing—within two years, I expect the cost to drop by 90 percent or more. However, the need for sound, evidence-based planning remains the same.
Regionalization for most institutions. The earliest entrants focused on scaling national brands. But for universities growing in-house, regional strategies pay off, too. Think targeted regional marketing, employer partnerships tied to local workforce needs and even weaving apprenticeships or other learn-and-earn models directly into degree pathways. It’s not about being everywhere—it’s about playing to your strengths in your region.
Breaking down silos to build relevant programs. One trend I like and am supporting is cross-campus collaborations leading to hybrid or interdisciplinary graduate programs. Northeastern’s combined majors model is well-known in undergraduate circles. We’re seeing more deans replicate that at the graduate level—joint programs, additional tracks and revenue-sharing agreements between schools. They’re savvy partnerships that pull together institutional strengths rather than competing internally.
Scrutinize your tech stack. When I started the company, I assumed going inside universities would be illuminating. I wasn’t prepared for the delta in capability between OPM and campus technology stacks. Technology should be frictionless to the point that it’s invisible. And you should feel your stack moving from software as a service to results as a service. Before spending hundreds of thousands or millions in digital marketing to grow, I suggest a rigorous evaluation and professionally led tech discovery phase before doing any significant online endeavors. We’ve begun doing assessment and development work on Salesforce, Slate, WordPress, Drupal and more to unlock technological gains for our partners. Candidly, it wasn’t on my 2025 bingo card. But it’s critical work, so we had to add it as a service.
Q: Given the pricing pressures on online degrees, with some well-known universities offering sub-$30,000 online master’s, how might institutions unable to offer lower-cost online degrees compete?
A: Josh, I founded my first business in high school and my second in college—so I always nerd out on the entrepreneurial edges of higher education. And, of course, I’m in favor of lowering the cost of degrees while preserving quality. Some innovative higher education leaders and friends I deeply respect have entered the low-cost arena. They’ve gone to market with the support of MOOC platforms, which point millions of course takers’ eyes to the programs.
And if you’ve spent enough time around John Katzman, you’ve probably heard him say, “Low cost generally means low faculty.” That’s stuck with me. So, if that’s the architecture, we need to ask ourselves where the “low-faculty” model can work before stripping away any components required for quality learning outcomes. For example, I wouldn’t point that strategy at clinical nursing, education or health sciences degrees anytime soon. And frankly, we haven’t seen rigorous, long-term research on these $30,000 degrees yet, outside of self-published enrollment and graduation rates. Before diving in headfirst, I’d argue it’s worth conducting objective studies on the ROI for learners.
To your question about institutions that might not have access to that scale, I’d advise them to call me. My team will sign an NDA and pressure-test their plan as a favor. I won’t tiptoe around this: I predict a MOOC-fed degree correction within a year from now. So, Rhodes Advisors is architecting solutions that leverage a next-gen course platform, AI-guided admissions and fresh tactics to drive lead volume, should that correction happen.
MOOC platforms (and, to an extent, significant B2B relationships) are the only proven route for low-cost degrees to compete at scale in the hand-to-hand combat environment of online degree growth. Why? Fundamentally, platforms reduce your marketing overhead and let you tap into sophisticated conversion practices they’ve been working hard on.
If you’re using a low-cost degree to serve a mission-driven purpose, you don’t need millions of learners from a platform. I’d suggest covering the delta in tuition with a foundation or donor. And I’d focus heavily on messaging and positioning so learners see you’ve struck the right balance between value and price. Rhodes Advisors is often brought in to do that work, too.
Q: Let’s talk numbers. Say a university wants to build a new online master’s degree or certificate program. How much money does developing, launching, recruiting and running that program cost? To set some boundaries, let’s say that the online master’s tuition is about $50,000 and the target enrollment at steady state is 150. Help us understand the economics of the online learning business.
A: I prefer talking numbers and using them to cut through the noise, so I’m glad you went there. We’ve recently run this analysis for several universities evaluating alternative revenue strategies. I’ll extend this answer beyond the basic analysis data and into some significant trends I’m seeing that your readers will find helpful.
But first, any degree analysis requires a few caveats—there are a lot of variables when estimating costs to launch a stand-alone program. But assuming you have a competent tech stack, a skilled team and you’re building something the market favors, you can launch a 30-credit online master’s degree for roughly $900,000 to $1.2 million in the early years before breaking even as enrollment comes in. As your readers know, most of those costs fall into course development, faculty compensation and marketing/enrollment services. Assuming steady demand, the five-year ROI will land around 275 percent, or about $3.7 million. Anyone quoting a smaller up-front investment number is likely at a small private with fully centralized operations—or running programs with a few dozen students, not 150-plus as you asked about. And anyone quoting a significantly larger ROI has been lucky enough to find a niche.
On the certificate side, launching a 12-credit stand-alone certificate typically requires $200,000 to $400,000 up front, with a best-case five-year ROI of around 70 percent or $500,000 total return. But certificates face steeper competition: They’re up against degrees in the digital keyword bids, and the market heavily favors industry certifications (Google, Microsoft, etc.) or programs offered by elite universities in business, tech, or licensure-required fields. So, while master’s degrees demand more up front, long-term economics almost always favor them.
Reducing costs while maintaining growth has never been more critical than it is in 2025. Improving ROI, especially in new ventures, requires scrutinizing every operational lever—especially in learning design, marketing and enrollment management. There are two things I’m seeing play out that have a material impact on efficiency:
Integrating core online and in-person program operations and functions like admissions, recruitment, student services, alumni affairs and career services has become essential. When universities unify these areas, they eliminate redundancies, lower operational costs and deliver a seamless experience for students moving between all modalities. That said, I typically see skill and knowledge gaps surface quickly when tasking a residentially focused function with online program efforts, so we’ll usually dedicate capacity-building and training efforts during a transitional period.
Anywhere AI can streamline effort or lower direct costs should be surfaced immediately and prioritized. For instance, we’ve worked closely with the University of Virginia this year, and they have been able to drive down centralized course production directionally by applying AI tools in specific and strategic ways. Another partner is preparing to launch a master’s degree in our co-pilot DIY model, intentionally designing enrollment operations to be AI-first. Applicants interact with an AI chat bot to handle basic program details before reaching a human adviser. Early signs suggest that approach will cut costs by more than 50 percent—though we’ll let the data speak as it matures.
I hope this check-in was helpful. And I’d love to come back and share more as we continue down an exciting and fulfilling path at Rhodes Advisors!
This HEPI blog was authored by Isabelle Bristow, Managing Director UK and Europe at Studiosity.
In a HEPI blog published almost a year ago, Student Voices on AI: Navigating Expectations and Opportunities, I reported the findings of global research Studiosity commissioned with YouGov on students’ attitudes towards artificial intelligence (AI). The intervening year would be considered a relatively small time period in a more regular higher education setting. However, given the rapid pace of change within the Gen-AI sphere, this one year is practically aeons.
We have recently commissioned a further YouGov survey to explore the motivations, emotions, and needs of over 2,200 students from 151 universities in the UK.
Below, I will cover the top five takeaways from this new round of research, but first, which students are using AI?
64% of all students have used AI tools to help with assignments or study tasks.
International student use (87%) is a staggering 27% higher than their domestic student counterparts (60%).
There’s a 21% difference between students who identify as female who said they have never used AI tools for study tasks (42%) compared with those identifying as male (21%).
Only 17% of students studying business said they have never used it, compared with 46% studying Humanities and Social Sciences.
The highest reported use is by students studying in London at 78%, and conversely, the highest non-use was reported by students studying in Scotland at 44%.
The Top Five Takeaways:
There is an 11% increase from last year in students thinking that their university is adapting fast enough to provide AI study support tools.
Following a year of global Gen-AI development and another year for institutions to adapt, students who believe their university is adjusting quickly enough remain in the minority this year at 47%, up from 36% in 2024. The remaining 53% of student respondents believe their institution has more to do.
When asked if they expect their university to offer AI support tools to students, the result is the same as last year – with 39% of students answering yes to this question. This was significantly higher for male students at 51% (up by 3% from last year) and for international students 61% (up by 4% from last year). Once again, this year, business students have the highest expectations at 58% (just 1% higher than last year). Following this, medicine (53%), nursing (48%) and STEM (46%) were more likely to respond ‘Yes’ when asked if they expect their university to provide AI tools.
Some students have concerns over academic integrity.
When asked if they felt their university should provide AI tools, students who answered’ no’ were given a free text box to explain their reasoning. Most of these responses related to academic integrity.
‘I don’t think unis support its use because it helps students plagiarise and cheat.’
‘I think AI beats the whole idea of a degree, but it can be used for grammar correction and general fluidity.’
‘Because it would be unfair and result in the student not really learning or thinking for themselves.’
Only 7% of students said they would use an AI tool for help with plagiarism or referencing (‘Ask my lecturer’ was at 30% and ‘Use a 24/7 university online writing feedback tool’ was at 21%).
Students who use AI regularly are less likely to rank ‘fear of failing’ as one of their top three study stresses
We asked all students – regardless of their AI use – of their top three reasons for feeling stressed about studying the responses were as follows:
61% of all UK students included ‘fear of failing’ in their top 3 reasons for feeling stressed about studying;
52% of all students included ‘balancing other commitments’; and
41% of all students included ‘preparing for exams and assessments’.
These statistics change when we filter by students who use AI tools to help with assignments or study tasks. Fear of failing is still the highest-ranked study stress. The percentage of respondents who rank fear of failing in their top three study stresses by AI use are as follows:
69% for those who never use AI;
62% for those who have used AI once or twice;
58% for those who have used AI a few times and;
50% for those who use AI regularly.
Looking at the main reasons students want to use the university’s AI service for support or feedback, this year, ‘confidence’ (25%) overtook ‘speed’ (16%). Female respondents, in particular, are using AI for reasons relating to confidence at 29%, compared to 20% for male students. International students valued ‘skills’ the most at 20%, significantly higher than their domestic student counterparts at 11%.
Students who feel like they belong are more likely to use AI.
We examined the correlation between students’ sense of belonging in their university community, and the amount they use AI tools to help with assignments or study tasks.
For students who feel like they belong, 67% said they have used AI tools to help with assignments or study tasks; this compares with 47% for students who do not feel like they belong.
5. Cognitive offloading (using technology to circumvent the ‘learning element’ of a task) is a top concern of academics and institutional leadership in 2025. However, student responses suggest they feel they are both learning and improving their skills when using generative tools.
When asked if they were confident they are learning as well as improving their own skills when using generative tools, students responded as follows:
12% ‘were extremely confident that they were learning and developing skills;
31% were very confident;
29% were moderately confident;
26% were moderately confident; and
Only 5% were not at all confident that this was true.
Conclusion:
Reflecting on the three years since Gen-AI’s disruptive entrance into the mainstream, the sector has now come to terms with the power, potential, and risks of Gen-AI. There is also a significantly better understanding of the importance of ensuring these tools enhance student learning rather than undermining it by offloading cognitive effort.
Leaders can look to a holistic approach to university-approved, trusted Gen-AI support, to improve student outcomes, experience and wellbeing.
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You can download the full Annual Global Student Wellbeing Survey – UK report here.
Studiosity is a HEPI Partner. Studiosity is AI-for-Learning, not corrections – to scale student success, empower educators, and improve retention with a proven 4.4x ROI, while ensuring integrity and reducing institutional risk. Studiosity delivers ethical and formative feedback at scale to over 250 institutions worldwide. With unique AI-for-Learning technology, all students can benefit from formative feedback in minutes. From their first draft to just before submission, students receive personalised feedback – including guidance on how they can demonstrably improve their own work and critical thinking skills. Actionable insight is accessible to faculty and leaders, revealing the scale of engagement with support, cohorts requiring intervention, and measurable learning progress.
How can you make the future of your campus more clear and sustainable?
As colleges and universities continue to rise above the challenges brought on by the pandemic five years ago, it has become clear that the new normal for higher education demands more than resilience—it requires strategic foresight and proactive leadership. Institutions today must navigate shifting policies, demographic changes, public sentiment, natural disasters, economic pressures, compliance mandates, safety concerns, talent turnover, operational efficiency demands, and increasing pressure for measurable results.
Is your institution prepared to proactively face these challenges, knowing that disruption is not just possible but highly probable?
Will your strategic plan ensure financial sustainability if events on the scale of the pandemic disrupt your revenue streams?
Does your current enrollment strategy include innovative approaches to capture new market share despite declining numbers of prospective students?
Is your institution leveraging artificial intelligence to drive innovation and efficiency?
Does your academic master plan align with program demand, employer talent needs, and student success outcomes?
Can your organization prioritize limited resources effectively and use data to inform critical budget decisions?
Do your stakeholders understand that your institution’s reputation and competitive standing depend on academic innovation, excellence, community engagement, and student success—achieved through accountability, continuous improvement, campus engagement, agility, and clear prioritization?
If your answer isn’t a confident “YES!”, it’s time to act. Consider investing two days at RNL’s Strategic Planning Executive Forum (April 1–2, Chicago).
Building a foundation for strategic planning in two days
Today, institutions discover that this framework goes beyond enrollment—it is adaptable to address every facet of university and college operations, including institutional culture, financial health, academic excellence, technology integration, student success, community engagement, branding, and institutional value. This approach aligns your institution’s goals with the realities of the evolving higher education landscape, ensuring long-term enrollment success and financial sustainability.
While many institutions simply set goals and outline steps, true strategic planning thrives at the intersection of creativity, critical thinking, data analysis, and action. The RNL Strategic Planning Forum is designed to elevate your institution’s capacity by focusing on essential, foundational steps:
Analyzing your institution’s strengths, weaknesses, opportunities, and threats (SWOT)
Identifying key performance indicators (KPIs)
Fostering a data-informed decision-making culture
Developing actionable strategy plans with clear accountability and measurable ROI
Establishing prioritization protocols by assessing risk, resistance, and required effort
Implementing, managing, and refreshing dynamic strategic plans through effective dashboards and processes
What to expect at the forum
The forum offers practical case studies and shared experiences from transformation leaders. Sessions will highlight best practices in areas such as:
Strategic enrollment planning
Institutional strategic planning
Academic program revitalization
Breakout sessions will cater to specific institutional needs—whether from two-year colleges, four-year public universities, or private institutions—offering space to share best practices and tackle unique challenges.
Institutional assessment with expert guidance
Your leadership team will have the opportunity to complete a strategy assessment and receive live feedback from RNL experts with decades of higher education experience in:
Marketing and market research
Recruitment and financial aid strategy
Student success initiatives
Academic program planning
Online learning and delivery models
Advancement and venture philanthropy
Artificial intelligence applications in higher education
Discussion and collaboration are at the heart of this event. You’ll dive into critical areas of strategic planning while engaging with industry experts, higher education leaders, and peers from other campuses. This will spark meaningful conversations within your own team, setting the stage for momentum and change.
RNL Strategic Planning ExecutiveForum: A history of driving enrollment and revenue success
Many institutions that have participated in this event have seen transformative results, including:
Record-breaking enrollment growth
Enhanced student outcomes
Millions in additional revenue generation
Stronger community engagement
Streamlined operations and improved efficiency
Equip your institution for future-focused success
Empower your institution with actionable insights, dynamic strategies, and the tools necessary for growth, resilience, and meaningful impact in today’s higher education environment.
See the agenda and register for the Forum today. Bring your leadership team and ignite the discussions that will drive action and measurable results for your institution’s future. You’ll be hard-pressed to find a more impactful event to propel your institution forward.