Tag: Effectively

  • DfE and OfS are running out of road on regulating a “free market” effectively

    DfE and OfS are running out of road on regulating a “free market” effectively

    On The Wonkhe Show, Public First’s Jonathan Simons offers up a critique of the way the higher education sector has been organised in recent years.

    He says that despite being more pro-market than most, he’s increasingly come to the view that the sector needs greater stewardship.

    He says that the theory of change embedded in the Higher Education and Research Act 2017 – that we should have more providers, and that greater choice and contestability and composition will raise standards – has worked in some instances.

    But he adds that it is now “reasonably clear” that the deleterious side effects of it, particularly at a time of fiscal stringency, are “now not worth a candle”:

    If we as a sector don’t start to take action on this, then the risk is that somebody who is less informed, just makes a judgment? And at the stroke of a ministerial pen, we have no franchising, or we have a profit cap, or we have student number controls. Like that is a really, really bad outcome here, but that is also the outcome we are hurtling towards, because at some point government is going to say we don’t like this and we’re just going to stop it overnight.

    Some critiques of marketisation are really just critiques of massification – and some assume that we don’t have to worry about whether students actually want to study something at all. I don’t think those are helpful.

    But it does seem to be true that the dominant civil service mindset defaults to regulated markets with light stewardship as the only way to organise things.

    Civil servants often assume that new regulatory mechanisms and contractual models can be fine-tuned to deliver better outcomes over time. But the constant tweaking of market structures leads to instability and policy churn – and bad actors nip around the complexity.

    Much of Simons’ critique was about the Sunday Times and the franchising scandal. But meanwhile, across the sector, something else is happening.

    Another one

    Underneath daily announcements on redundancies, senior managers and governing bodies are increasingly turning to data analytics firms to inform their academic portfolios.

    The advice is relatively consistent – close courses with low market share and poor demand projections, maintain and grow those showing high share or significant growth potential.

    But when every university independently follows that supposedly rational strategy, there’s a risk of stumbling into a classic economic trap – a prisoner’s dilemma where individual optimisation leads to collective failure.

    The prisoner’s dilemma, a staple of economic game theory, runs like this. Two prisoners, unable to communicate, have to decide whether to cooperate with each other or defect. Each makes the decision that seems best for their individual circumstance – but the outcome is worse for both than if they had cooperated.

    I witnessed it unfold a couple of weeks ago. On a Zoom call, I watched four SU officers (under the Chatham House rule, obvs) from the same region simultaneously share that their university was planning to expand their computer science provision while quietly admitting they were “reviewing the viability” of their modern languages departments.

    It did sound like, on probing, that their universities were all responding to the same market intelligence, provided by the same consultancies, using the same metrics.

    Each university, acting independently and rationally to maximise its own market position, makes decisions that seem optimal when viewed in isolation. Close the underperforming philosophy department. Expand the business school. Withdraw from modern languages. Double down on computer science.

    But when every university follows the same market-share playbook, the collective result risks the sector becoming a monoculture, with some subjects vanishing from entire regions or parts of the tariff tables – despite their broader societal value.

    The implications of coordination failure aren’t just theoretical – they are reshaping the physical and intellectual geography of education in real time.

    Let’s imagine three post-92 universities in the North East and Yorkshire each offered degrees in East Asian languages, all with modest enrolment. Each institution, following market share analysis, determines that the subject falls below their viability threshold of 40 students per cohort. Acting independently, all three close their departments, creating a subject desert that now forces students in the region to relocate hundreds of miles to pursue their interest.

    The spatial mismatch of Hotelling’s Location Model means students having to travel further or relocate entirely – disproportionately affecting those from lower-income backgrounds.

    And once a subject disappears from a region, bringing it back becomes extraordinarily difficult. Unlike a coffee shop that can quickly return to a high street when demand reappears, universities face significant barriers to re-entry. The sunk costs of hiring specialist staff, establishing facilities, securing accreditation, and rebuilding reputation create path dependencies that lock in those decisions for generations.

    The Matthew effect and blind spots

    Market-driven restructuring doesn’t affect all providers equally. Higher education in the UK operates as a form of monopolistic competition, with stratified tiers of universities differentiated by reputation, research intensity, and selectivity.

    The Matthew effect – where advantages accumulate to those already advantaged – means that elite universities with strong brands and secure finances can maintain niche subjects even with smaller cohorts.

    Meanwhile universities lower in the prestige hierarchy – often serving more diverse and less privileged student populations – find themselves disproportionately pressured to cut anything deemed financially marginal.

    Elite concentration means higher-ranking universities are likely to become regional monopolists in certain subjects – reducing accessibility for students who can’t meet their entry requirements.

    Are we really comfortable with a system where studying philosophy becomes the preserve of those with the highest A-level results, while those with more modest prior attainment are funnelled exclusively toward subjects deemed to have immediate market value?

    Markets are remarkable mechanisms for allocating resources efficiently in many contexts. But higher education generates significant positive externalities – benefits that extend beyond the individual student to society at large. Knowledge spillovers, regional economic development, civic engagement, and cultural enrichment represent value that market signals alone fail to capture.

    Market failure is especially acute for subjects with high social utility but lower immediate market demand. Philosophy develops critical thinking capabilities essential for a functioning democracy. Modern languages facilitate international cooperation. Area studies provide crucial cultural competence for diplomacy and global business. And so on.

    When market share becomes a dominant decision criterion, broader societal benefits remain invisible on the balance sheet. The market doesn’t price in what we collectively lose when the last medieval history department in a region closes, or when the study of non-European languages becomes accessible only to those in London and Oxbridge.

    And market analysis often assumes static demand curves – failing to account for latent demand – students who might have applied had a subject remained available in their region.

    Demand for higher education isn’t exogenous – it’s endogenously shaped by availability itself. You can’t desire what you don’t know exists. Hence the huge growth in franchised Business Degrees pushed by domestic agents.

    Collective irrationality

    What’s rational for an individual university becomes irrational for the system as a whole. Demand and share advice makes perfect sense for a single institution seeking to optimise its portfolio. But when universally applied, it creates what economists call aggregate coordination failure – local optimisations generating system-wide inefficiencies.

    The long-term consequences extend beyond subject availability. Regional labour markets may face skill shortages in key areas. Cultural and intellectual diversity diminishes. Social mobility narrows as subject access becomes increasingly determined by prior academic advantage. The public good function of universities – to serve society broadly, not just commercially viable market segments – erodes.

    But the consequences of market-driven strategies extend beyond immediate subject availability. If we look at long-term societal impacts, we end up with a diminished talent pool in crucial but less popular fields – from rare languages to theoretical physics – creating intellectual gaps that can take generations to refill.

    An innovative economy – which thrives on unexpected connections between diverse knowledge domains – suffers when some disciplines disappear from regions or become accessible only to the most privileged students.

    Imagine your small but vibrant Slavic studies department closes following the kind of market share analysis I’ve explained – you lose not just courses but cross-disciplinary collaborations that generate innovative research projects. Your political science colleagues suddenly lacked crucial language expertise during the Ukraine crisis. Your business school’s Eastern European initiatives withered. A national “Languages and Security” project will boot you out as a partner.

    Universities don’t compete on price but on quality, reputation, and differentiation. It creates a market structure where elite institutions can maintain prestige by offering subjects regardless of immediate profitability, while less prestigious universities face intense pressure to focus only on high-demand areas.

    In the past decade, some cross-subsidy and assumptions that the Russell Group wouldn’t expand disproportionately helped. But efficiency has done what efficiency always does.

    Both of the assumptions are now gone – the RG returning to the sort of home student numbers it was forced to take when the mutant algorithm inflated A-Levels in 2020.

    Efficiency in market terms – optimising resources to meet measurable demand – conflicts directly with EDI and A&P goals like fair access and diverse provision. A system that efficiently “produces” large numbers of business graduates in large urban areas while eliminating classics, philosophy, and modern languages might satisfy immediate market metrics while failing dramatically at broader social missions.

    And that’s all made harder when, to save money, providers are reducing elective and pathway choice rather than enhancing it.

    Choice and voice

    When we visited Maynooth University last year we found structures that allow students to “combine subjects across arts and sciences to meet the challenges of tomorrow.” It responds to what we know about Gen Z demands for interdisciplinary opportunities and application – and allows research-active academics to exist where demands for full, “headline” degrees in their field are low.

    In Latvia recently, the minister demanded, and will now create the conditions to require, that all students be able to accrue some credit in different subjects in different institutions – partly facilitated by a kind of domestic Erasmus (responding in part to a concern about the emigration caused by actual Erasmus).

    Over in Denmark, one university structures its degrees around broad disciplinary areas rather than narrowly defined subjects. Roskilde maintains intellectual diversity while achieving operational efficiency – interdisciplinary foundation years, project-based learning that integrates multiple disciplines, and a streamlined portfolio of just five undergraduate degrees.

    As one student said when we were there:

    The professors teaching the classes at other universities feel a need to make their little modules this or that, practical or applied as well as grounded in theory. Here they don’t have that pressure.

    And if it’s true that we’re trapped in a reductive binary between lumbering, statist public services on the one hand, and lean, mean private innovative operators on the other, the false dichotomy paralyses our ability to imagine alternative approaches.

    As I note here, in the Netherlands there’s an alternative via its “(semi)public sector” framework, which integrates public interest accountability with institutional autonomy. Dutch universities operate with clear governance standards that empower stakeholders, mandate transparency, enforce quality improvement, and cap senior staff pay – all while receiving substantial public investment. It recognises that universities are neither purely market actors nor government departments, but entities with distinct public service obligations.

    When Belgian student services operate through distinct governance routes with direct student engagement, or when Norwegian student welfare is delivered through regional cooperative organisations, we see alternatives to both market competition and centralised planning.

    They suggest that universities could maintain subject diversity and geographical access not through either unfettered market choice or central planning mandates, but through governance structures that systematically integrate the voices of students, staff, and regional stakeholders into portfolio decisions. The prisoner’s dilemma is solved not by altering individual incentives alone, but by fundamentally reimagining how decisions are made.

    Other alternatives include better-targeted funding initiatives for strategically important subjects regardless of market demand, proper cross-institutional collaboration where universities collectively maintain subject breadth, regulatory frameworks that actually incentivise (rather than just warn against extremes in removing) geographical distribution of specialist provision, new metrics for university performance beyond enrolment and immediate graduate employment and better information for prospective students about long-term career pathways and societal value when multiple subject areas are on the degree transcript.

    Another game to play

    Game theory suggests that communication, coordination, and changing the incentive structure can transform the outcome.

    First, we need policy interventions that incentivise the public good nature of higher education, rather than just demand minimums in it. Strategic funding for subjects – and crucially, minor pathways or modules – that are deemed nationally important, regardless of their current market demand, can maintain intellectual infrastructure. Incentives for regional subject provision might ensure geographical diversity.

    Universities will need to stop using CMA as an excuse, and develop cooperative rather than competitive strategies. Regional consortia planning, subject-sharing agreements, and collaborative provision models are in the public interest, and will maintain breadth while allowing individual institutions to develop distinctive strengths.

    Flexible pathways, shared core skills, interdisciplinary integration – all may prove more resilient against market pressures than narrowly defined single-subject degrees. They allow universities to maintain intellectual diversity while achieving operational efficiency. And they’re what Gen Z say they want. Some countries’ equivalents of QAA subject benchmarking statements have 10, or 15, with no less choice of pathways across and within them. In the UK we somehow maintain 59.

    At the sector level, collaborative governance structures that overcome the coordination failure means resource-sharing for smaller subjects, and student mobility within and between regions even for those we might consider as “commuter students”.

    OfS’ regulatory framework could be reformed to incentivise and reward collaboration rather than focusing primarily on institutional competition and financial sustainability. Funding could reintroduce targeted support for strategically important subjects, informed by decent mapping of subject (at module level) deserts and cold spots.

    Most importantly, universities’ governing instruments should be reformed to explicitly recognise their status as “(semi)public sector bodies” with obligations beyond institutional self-interest – redefining success not as market share growth but as contributing to an accessible, diverse, and high-quality higher education system that serves both individual aspirations and collective needs.

    Almost every scandal other than free speech – from VC pay to gifts inducements, from franchising fraud to campus closures, from grade inflation to international agents – is arguably one of the Simons’ deleterious side effects, which are collectively rapidly starting to look overwhelming. Even free speech is said by those who think there’s a problem to be caused by “pandering” to student consumers.

    Universities survive because they serve purposes beyond market demands. They preserve and transmit knowledge across generations, challenge orthodoxies, generate unanticipated innovations, and prepare citizens for futures we can’t yet imagine.

    If they respond solely to market signals, the is risk losing what makes them distinctive and valuable. That requires bravery – seeing beyond the apparent rationality of individual market optimisation to recognise the collective value of a diverse, accessible, and geographically distributed higher education sector.

    It doesn’t mean running provision that students don’t want to study – but it does mean actively promoting valuable subjects to them if they matter, the government intervening to signal that quality can (and does) exist outside of the Russell Group, and it means structuring degrees such that some subjects and specialisms can be studied as components if not the title on the transcript.

    It also very much requires civil servants and their ministers to wean themselves off the dominant orthodoxy of regulated markets as being the best or only way to do stuff.

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  • Understanding Digital Marketing Strategy and Costs to Effectively Budget for Growth

    Understanding Digital Marketing Strategy and Costs to Effectively Budget for Growth

    In today’s digital-first world, higher education institutions are increasingly turning to digital marketing to educate, engage, enroll, and retain students. However, one of the key challenges that the campus decision-makers face is understanding the potential costs associated with digital marketing and how to effectively budget for growth.

    As someone deeply immersed in the world of digital strategy, I often find myself having the same conversation with campus leaders: how do we set realistic expectations about what it really costs to do effective digital marketing? And more importantly, how do we directly link those costs with your institution’s growth objectives? In this blog, I will highlight the key data-driven strategies for assessing ROI and how these strategies inform a strategic budget plan that strengthens your institution’s overall portfolio and drives sustainable growth.

    The importance of setting realistic expectations

    Success in higher education landscape, particularly when managing a large portfolio, is driven by a disciplined, metrics-oriented approach. From my experience, the institutions that excel are those that rely on crisp numbers, rigorously evaluate their plans ahead of time, and understand the value of projections and estimations. By leveraging detailed forecasts and aligning resources accordingly, we can navigate the complexities of enrollment growth with precision and confidence, always mindful that incremental progress, evaluated at every stage, is key to achieving long-term goals.

    Setting expectations means recognizing that significant results take time and careful planning. This translates to setting realistic growth expectations based on an understanding that reaching your enrollment goals will take multiple academic terms. When I am collaborating with our partners, we adopt a structured five year growth trajectory where Year 1 serves as the “foundational” phase, establishing the core infrastructure and strategic alignment. Year 2 is focused on “scaling,” optimizing initial investments to drive measurable growth. Years 3 and beyond are dedicated to “sustained value creation,” with a continuous focus on refining processes and maximizing returns through ongoing optimization and strategic enhancements. This phased approach allows for calculated risk-taking and ensures a clear path to long-term, scalable success.

    Chart showing 5-year projected growth for digital leads with 20%YoY growth

    Once we’ve set realistic expectations for our digital strategy, it’s crucial to ensure that every tactic -whether paid digital marketing, SEO, or creative content, all work together seamlessly to achieve your goals. These elements don’t function in isolation; rather, they complement each other to drive greater visibility, engagement, and, ultimately, enrollments. A well-rounded strategy that integrates SEO to boost discoverability, paid digital marketing for targeted reach, and compelling content to engage prospective students will create a strong foundation for success. By understanding how these components interrelate, you’ll be better equipped to assess their effectiveness and make data-driven adjustments as needed.

    From here, let’s dive into how digital strategy translates into budget planning and ROI. Understanding the interconnectedness of these key elements will help you allocate resources more efficiently and set a clear path for measuring the success of your investments.

    Connecting strategy to ROI and crafting a strategic budget plan for growth

    The connection between strategy and ROI is grounded in the ability to align your digital marketing efforts with measurable outcomes, and it all starts with the establishment of clear and precise enrollment goals. Prioritizing top programs ensures that marketing resources are directed toward the areas with the highest demand or growth potential, improving overall program performance. The right channel mix is crucial to reaching the right audience, maximizing visibility, and efficiently converting interest into applications. Monitoring data and optimizing it in real-time ensures that marketing efforts are continuously adjusted for maximum effectiveness, enhancing the likelihood of meeting targets and improving ROI. Finally, effective allocation based on application timing, seasonality projections, and market revisions allows for strategic adjustments in campaigns to account for fluctuating demands, ensuring marketing spend is optimized throughout the enrollment cycle. Collectively, these elements create a robust framework for maximizing ROI, ensuring that marketing investments lead to increased applications, conversions, and, ultimately, student enrollment.

    Graphic of connecting digital marketing strategy to ROI: Enrollment Goal Mapping, Program Prioritization, Channel Mix Strategy, Monitor&Optimize, App Deadlines and Scaling UpGraphic of connecting digital marketing strategy to ROI: Enrollment Goal Mapping, Program Prioritization, Channel Mix Strategy, Monitor&Optimize, App Deadlines and Scaling Up

    How do you craft a budget that supports your growth goals? Whether you are the decision-making authority or a decision influencer, here are the essential steps to craft a budget plan that aligns with your institution’s growth objectives and maximizes your enrollments:

    1. Define your enrollment goals in detail

    When you think of marketing costs, what comes to mind first? How much will it cost to meet your enrollment goals, right? So, your first step in planning a budget is to have your overall Enrollment goal (and, for graduate or online programs, a goal for every program) in front of you. With the goal (or program-level goals) in hand, determine what that means in terms of percentage growth from the current state. You may also have subsidiary goals like enhancing brand awareness, building more brand equity, or engaging alumni. If these are going to be part of your plan, they should also have tangible goals for what you are trying to do. Defining your enrollment goals helps you allocate your budget accordingly and measure ROI effectively.

    STRATEGY TIP

    Develop a “Goal Mapping” Scenario or you can say a Reverse Funnel (for each program). After you set enrollment goals (for the year or the term) you then need to understand the lead to enroll ratio. This will help you work backwards to determine how many accepted apps/admits will be needed, how many completed apps, how many submitted apps, and finally how many qualified leads will be needed. Based on the program category, dig deeper into what the Cost per Leads (CPL’s) are, based on industry benchmarks. That will help you calculate the estimated ad spend needed to generate those qualified leads.
    Goal Mapping for digital marketing: 1. Qualified Inquiry 2. Submitted Application 3. Completed Application 4. Admitted StudentGoal Mapping for digital marketing: 1. Qualified Inquiry 2. Submitted Application 3. Completed Application 4. Admitted Student

    A note on program-level goals: If you don’t have program-level enrollment goals for your online and graduate programs, finalize those as soon as possible. Until then, focus marketing on building brand awareness. It is likely that people in your own backyard could be less familiar with your program than you may think they are. Brand advertising will ensure that awareness rises so that when you have your program goals, you can build your campaigns on a higher level of familiarity with your institution. However, given that Google reports that 75 percent of graduate and online program searches don’t include an institution name, remember that branding alone will not be enough to fill your classes.

    Institutional example: When we began work with one of our partners nearly two years ago, they had not established program-level goals. So, in year one, we focused the largest portion of the budget on institutional awareness, with mini-campaigns focused on specific programs of importance to the institution. By the beginning of the second year, the institution had set program-level goals based on a greater understanding of market conditions. At that point, we began transitioning our campaigns to focus (ultimately 80 percent of the budget) on the programs with the “mini campaign” focused on continuing the brand equity efforts.

    2. Prioritize your programs

    It is highly unlikely that most institutions can spend marketing dollars on every program they offer. This means that in order to maximize the ROI of your marketing budget, you must prioritize your programs. But how? Take a data-driven approach, prioritizing programs for which you a) know there is market demand both among students and employers, and b) understand the competitor environment. These are the “cash cows” that will demonstrate the best ROI on your marketing spend and support the programs that, while not demonstrating significant market demand, are critical to the institutional mission.

    STRATEGY TIP

    Spreading a $100K marketing budget across 15 -20 programs will only dilute the ad spend, by spreading it too thin. Instead, identify the top 5-7 programs that have the greatest market demand and focus on them. Note that sometimes, the programs that seem most in need of a “marketing boost”, really aren’t. They are struggling because their market demand situation is not what it once was.

    Institutional example: A partner institution recently commissioned RNL to conduct a Program Prioritization and Positioning study focused on their current program mix. The goal was to take a data-driven deep dive into 12 programs vying for marketing dollars, with a focus on understanding student demand and employer needs in the region. The results indicated that while one of the programs they had planned to prioritize came out on top, two others that they hadn’t been planning to focus on also demonstrated strong demand, and one of the programs that they had questioned was confirmed as having weak local market demand.

    3. Determine your channel strategy

    Once you have prioritized your programs for marketing ROI, setting your channel strategy is pivotal. Personas (at the graduate and online levels developed for each program) dictate the channels on which you should focus. You don’t want (or need) to be present on every single channel just for the sake of “eyeballs.” Be mindful of the budget and how best to use it in order to maximize return, which can only be accomplished if you apply the personas that will inform you where your target student spend their “digital time.” So, for example, not every program may benefit from marketing on LinkedIn. Since it is expensive with a $10 minimum ad spend, a persona-based approach may indicate that other platforms are a much better match. But you can only do this if you know the characteristics of your audience, and that comes from the program personas.

    STRATEGY TIP

    The critical element in increasing marketing ROI is to engage the right students at the right time on the right channel, without spreading your budget too thin. In contrast, being too invested in any single channel exclusively or too long is also almost always the wrong strategy. There is always a point of diminishing returns as students cycle to different platforms, and you want to be sure to know where to go next before you approach that point by being able to tap into the next new thing.
    Chart of program and channel performance for different degrees and channels.Chart of program and channel performance for different degrees and channels.

    Institutional example: One of our prestigious campus partners was struggling with recent market shifts that resulted in an overall decline in applications. We dug into market and performance data to help them prioritize programs that had the highest lead-to-enroll ratios, lowest cost per acquisition, and good search volume with an eye to increasing marketing ROI and overall success. This approach not only helped regain their momentum at the top of the funnel but also generated strong conversion volume that exceeded goals and sustainably reduced cost per conversion. These changes benefited not only the marketing operation but were also felt by the call center, and further down the funnel where we saw an increase in applications.

    Talk with our digital and enrollment experts

    We’re to help you find the right digital marketing and recruitment strategies. Let’s set up a time to talk.

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    4. Analyze data regularly and optimize with agility

    If (quality) content is king, data is queen! Sustained growth can only occur when data and insights are continuously incorporated into strategy. Analyzing performance data is crucial to understanding which programs and channels are yielding the largest numbers of applications and enrollments and, hence, generating the best return on ad spend (ROAS). This type of analysis allows for a data-driven approach to strategic pivots on how the marketing budget is allocated to ensure the highest ROI (or ROAS) across channels and the program portfolio. As the cost of marketing has risen, so has the need for marketers to make an effective case to senior leadership for additional marketing dollars. You can only do this if you can demonstrate that you are the best possible stewards of current resources.

    STRATEGY TIP

    As you continue to increase your campaign efficiency and success with the focus on ROI, your cost per lead will gradually start to go down – on average by 5 – 10 percent in year 2 and beyond. So, campaigns can generate more qualified leads efficiently over the years (for the same cost), thereby maximizing the return on your ad spend (ROAS). This helps you not just grow but also helps in building forecasts and projections for growth compounded over several years – and it also provides a strong ROI-driven basis for any requests you may need to make for additional funds elsewhere.
    Cost-per-lead trends over one year, showing how current CPL has been greatly reduced from the previous year.Cost-per-lead trends over one year, showing how current CPL has been greatly reduced from the previous year.

    A note on analytics platforms: The fact that resources have become increasingly scarce at the same time as marketing costs have skyrocketed has resulted, out of necessity, in more sophisticated tracking of ROI. If your internal systems are set up in the correct manner (or if you are working with a strategic partner like RNL) every lead can be tracked to its source, thereby allowing for the assessment of just how effectively each marketing dollar has been used.

    Institutional example: A prestigious campus partner was having challenges with converting leads to applications and enrollments. We reviewed their full-funnel data (compete with attribution percentages) and realized something wasn’t working. The top of the funnel was healthy, with good lead volume. However, down the funnel we saw that a disproportionate number of leads were not converting to apps and enrollments. As a result of the review and data analysis, we made a bold strategic pivot to shift significant budget allocations to the channel (Google search) that we could see was producing the greatest numbers of applications and enrollments. Without the data, solving the challenge would have been impossible. With the data, it was easy. Since we made this change, applications, and enrollments have consistently increased each academic period.

    Graphic showing two circle charts and the reallocation of channel spend from Facebook as the largest channel to Google Search as the largest channelGraphic showing two circle charts and the reallocation of channel spend from Facebook as the largest channel to Google Search as the largest channel

    Making sure that the top of the funnel strategy is guided by down funnel numbers is the KEY! Effective strategy must evolve through ongoing optimizations with thoughtful placements across diverse media platforms that are informed by performance data. Remember that the path to enrollment is rarely linear and an integrated media strategy allows you to provide a personalized message in the right place at the right time.

    5. Understand and account for seasonality/application timings/expansion

    Another aspect of the dynamic nature of the marketing process relates to the seasonality of lead flow – and subsequent enrollment. This requires flexibility to adjust your strategies based on real-time performance data collected throughout the year. For any program or institution, there are times of the year during which more or fewer leads are generated. Fully understanding these trends takes time; you can make preliminary judgments on when the lead volume is highest and lowest within one year, but multiple years will allow for greater certainty. As you build your capacity to track lead generation – and conversion throughout the funnel – by program and source – you can create visualizations that map these factors by month. They can be used to build monthly budget allocations like those presented below.

    Bar chart showing budget allocation over the year for search, social, display, retargetingBar chart showing budget allocation over the year for search, social, display, retargeting

    Institutional example: For one campus partner we used the annual performance data in an innovative way. Our data insights indicated that there was more market share to capture, by having the program leverage low cost per conversion at the top of the funnel at certain points in the year, and low cost per acquisition at the bottom at other points of the year. There was time to scale up both applications and enrollments. We developed a forecast plan to address the potential areas of opportunity, calculated the cost, and pitched it to the partner. Once approved, we moved with agility, and implemented additional ad spend on the top champion programs and frontloaded the budgets for the academic periods yielding the highest number of applicants and enrollments. With this, we were not only able to meet the qualified lead goal but also exceeded the enrollments by 19% for the following academic period.

    The lifetime value of the student

    As you budget for growth, it’s crucial to consider the lifetime value (LTV) of a student. LTV refers to the total revenue a student generates throughout their academic journey and beyond. This value encompasses tuition fees, ancillary revenues (like housing and meal plans), alumni donations, and increasingly in our era lifelong learning opportunities.

    Talk with our digital and enrollment experts

    We’re to help you find the right digital marketing and recruitment strategies. Let’s set up a time to talk.

    Contact us

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