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Benchmarking in Higher Education: What to Measure and Why It Changes Decisions

Colleges and universities have never had more data at their fingertips. Still, many higher education leadership teams still make major decisions on incomplete internal reporting or even gut instinct alone. Benchmarking offers a structured alternative. When done well, it gives higher ed leaders a reliable framework for understanding where their institution stands versus peer organizations are achieving, plus where performance gaps are costing them enrollment, revenue, or talent.

The following sections break down the core concepts of benchmarking in higher education — from key performance indicators (KPIs) and comparator selection to education analytics measurement cadences — and explain why having the right external context can fundamentally change the decisions leaders make.

Why Benchmarking Matters in Higher Education

So, what exactly does benchmarking mean within the larger picture of institutional effectiveness?

What Benchmarking Actually Means

Put simply, benchmarking is the practice of comparing your institution’s performance against defined standards or peer organizations to identify gaps, set goals, and drive improvement. Benchmarking in higher education generally takes several forms: 

  • Internal benchmarking (comparing departments within the same institution)
  • Competitive benchmarking (direct peer comparison)
  • Functional benchmarking (comparing specific processes against best-in-class performers regardless of institutional type)

The key components of any benchmarking effort include: 

  • Clearly defined KPIs
  • A set of comparator institutions or industry standards
  • A consistent cadence for data collection and review

Without these elements in place, benchmarking quickly becomes an unfocused data collection exercise rather than true decision support data.

Why Internal Data Alone Is Not Enough

Internal data tells you what happened. It does not, however, tell you whether what happened was good, bad, or average relative to your competitive landscape. An enrollment decline of 3% might represent a crisis at one institution and a strong performance at another, depending on what peers experienced in the same period.

When it comes to program review, relying solely on internal higher education data also creates blind spots around emerging trends. If your online program completion rate held steady at 61% over two years, that may feel like stability — but if sector-wide completion rates improved from 58% to 67% during that same window, your institution is losing ground. Without external comparison points, institutions cannot distinguish between their own performance and broader market conditions.

What to Measure First

Enrollment, Revenue, and Portfolio Performance

For institutions operating online and professional continuing  education programs, enrollment metrics are usually the most immediate priority: 

  • Application volume
  • Yield rates
  • Headcount by program and modality
  • New vs. returning learner ratios

 

Revenue metrics provide the financial picture that enrollment growth numbers alone cannot supply. These may include: 

  • Net tuition revenue
  • Revenue per program
  • Cost-to-revenue ratios

Portfolio performance benchmarks matter just as much. Comparing program mix and revenue concentration against peers can reveal whether your institution is overexposed in a shrinking market or underinvested in a growing one. These comparisons are most useful when set against institutions with similar delivery models and market positions rather than generic national averages.

Staffing, Capacity, and Operational Efficiency

Higher education staffing benchmarks are frequently underutilized despite being among the most persuasive data points available to academic leaders. These comparisons can offer concrete context to staffing conversations that are otherwise difficult to quantify: 

  • Staff-to-student ratios
  • Advisor caseloads
  • Marketing spend per enrolled student
  • Technology costs per learner against peers

For instance, if your advising team carries caseloads 40% higher than peer benchmarks, that is a meaningful data point beyond merely an anecdote.

Institutions that benchmark operational processes alongside outcome metrics are better positioned to make the structural changes that improve student experience and reduce administrative overhead simultaneously.

Learner Outcomes, Retention, and Completions

Outcome-focused benchmarks are increasingly important as accreditors and prospective learners place greater emphasis on demonstrable results. All worth tracking against external standards include: 

  • Retention rates
  • Term-to-term persistence
  • Time-to-completion
  • Post-program employment outcomes

Outcome benchmarks carry particular weight in strategic planning because they connect directly to mission fulfillment. A program that enrolls well but graduates poorly is not succeeding, even if its revenue line looks healthy in the short term.

How to Choose the Right Comparators

Why Institutional Type, Size, and Model Matter

The value of a benchmark depends entirely on the quality of the comparison. Comparators should be selected based on meaningful shared characteristics: 

  • Institutional type
  • Carnegie Classification
  • Market geography
  • Program mix
  • Delivery modality
  • Target learner demographics

For institutions in the professional and continuing education space, comparators should reflect similar business models, like: 

  • Self-supporting units
  • Non-credit portfolios
  • Workforce development partnerships
  • Employer-facing programming

How to Avoid Bad Comparisons That Skew Decisions

Choosing institutions that flatter your performance rather than challenge it, or selecting peer sets based on aspiration rather than operational reality, can lead teams to conclude they are performing well when they are not. To avoid this: 

  • Document the rationale for each comparator. 
  • Revisit peer groups annually as institutional profiles shift. 
  • Triangulate against multiple data sources. 

When one comparator looks like an outlier, it usually is — and chasing it without understanding why leads to misaligned higher education strategy.

How Often to Benchmark and What Cadence Works Best

Matching review cadence to the nature and volatility of the metric is a practical way to make benchmarking sustainable. 

When to Review Monthly, Term by Term, or Annually

  • Enrollment pipeline metrics (e.g., inquiries, applications, deposits) benefit from monthly review during active recruiting periods. 
  • Term-by-term review works well for retention, completion, and revenue-per-program metrics, where trends emerge across enrollment cycles. 
  • Annual reviews are appropriate for staffing ratios, portfolio strategy, and market positioning benchmarks, where institutional patterns move slowly and full-year normalization adds clarity.

How to Build a Simple Benchmarking Rhythm Your Team Can Sustain

Benchmarking programs often fail not due to poor design but because of unsustainable execution. A practical rhythm typically starts small: 

  • Identify five to 10 core higher education KPIs that matter most to current leadership priorities. 
  • Assign clear ownership for each. 
  • Establish a consistent data source and definition. 
  • Schedule structured review conversations at the appropriate cadence. 

Building in a brief annual audit keeps the program relevant without requiring a full rebuild. Ask yourself: Are these still the right metrics? Are our comparators still right? The goal is not a perfect system; it is a consistent one that teams will actually use.

How Benchmarking Changes Decisions

Using Data to Support Budget Asks and Staffing Requests

One of the most immediate practical applications of benchmarking is strengthening the case for resource allocation. Budget requests that cite only internal needs are less persuasive than those grounded in external context. Showing that peer institutions invest 30% more per enrolled student in advising services, or that comparable programs at competitor schools run with substantially higher marketing budgets, transforms a subjective request into an evidence-based argument.

The same logic applies to staffing. Demonstrating that your advisor-to-student ratio is a significant outlier compared to peer benchmarks gives leaders a credible basis for requesting additional headcount. In addition, it provides budget committees a framework for evaluating that request against something more objective than prior-year spending.

Using Data to Prioritize Programs, Services, and New Investments

When program performance is viewed in isolation, it is difficult to know whether flat enrollment reflects underperformance or a market-wide plateau. But benchmarked against peers in comparable markets, the picture comes into clearer focus, and the decision to invest, reposition, or sunset becomes more defensible. 

New investment decisions benefit from the same approach: Identifying where your institution lags behind peer activity creates the strategic rationale for innovation that goes beyond internal advocacy.

Turning Benchmarking Into Better Leadership Decisions

Questions Leaders Should Ask Before Acting on the Data

A benchmarking gap is a prompt for inquiry, not an automatic mandate for change. Before acting on benchmarking findings, leaders should ask a short set of grounding questions: 

  • Are we comparing ourselves to the right institutions? 
  • Do we understand why a gap exists, or are we assuming we know? 
  • Is the gap meaningful enough to warrant action, or is it within normal variation? 
  • What would it cost (in time, money, and capacity) to close this gap, and is that a worthwhile investment given current priorities? 

How Peer Data and Associations Like UPCEA Help Add Context

Among the most notable challenges in higher education benchmarking is access to reliable, sector-specific peer data. Publicly available data sets are often delayed, too broadly aggregated, or focused on traditional residential enrollment in ways that do not reflect the realities of online and professional education. 

This is where associations like UPCEA play a critical role. UPCEA’s research, benchmarking initiatives, and member networks are specifically designed to serve institutions in this space — providing the nuanced, relevant comparisons that broad sector surveys cannot.

Start Benchmarking With the Right Community Behind You

Effective benchmarking is not a one-time project. It is an ongoing leadership practice that compounds in value as institutional knowledge deepens and comparator relationships mature. Institutions that build this capability consistently make better-informed decisions about where to invest, what to build, and when to change course.

UPCEA membership gives institutions access to a network of peers who understand the specific pressures and opportunities of online and professional continuing education. From research and benchmarking resources to professional development and community, we connect your team to the information and relationships that make better data-driven decisions possible. Explore membership types, review the benefits of becoming a UPCEA member, or take advantage of a current membership offer today.

 

FAQs: Benchmarking in Higher Education

1. What is benchmarking in higher education? 

Benchmarking in higher education is the practice of comparing your institution’s performance, processes, or outcomes against peers or standards to better understand strengths, gaps, and opportunities. 

2. What higher education performance metrics should colleges and universities benchmark first? 

Most institutions should start with a small set of core measures such as enrollment, revenue, completions, staffing, and operational efficiency. These metrics are easier to track and tie directly to decision-making. 

3. Why are comparators important in benchmarking?

Comparators matter because the wrong peer group can lead to misleading conclusions. Institutions should compare themselves to peers with similar size, mission, student population, and operating model.

4. How often should higher education leaders benchmark performance?

That depends on the metric. Some measures make sense monthly, others each term, and others annually. The best cadence is one your team can maintain consistently.

5. How does benchmarking support budget and staffing decisions?

Benchmarking gives leaders outside context they can use to explain needs, justify requests, and show whether current staffing or spending levels are aligned with peer institutions.

6. How does benchmarking help with program prioritization?

It helps leaders identify which programs are performing well, which ones may need support, and where new investment could have the strongest impact.

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