Benchmarking Against Competitor Courses: 11 Key Steps for Success

Benchmarking your course against competitors can feel heavy at first. You’re trying to figure out what’s “good” in your niche without drowning in spreadsheets, screenshots, and random metrics that don’t even matter.

In my own benchmarking work with cohort-based and self-paced online courses, I learned the hard way that the process only works when you’re super intentional about what you’re measuring and how you’re comparing. Otherwise, you end up copying surface-level stuff (like “they have more videos”) and missing the real drivers behind outcomes.

So in this post, I’m going to walk you through 11 key steps I actually use to benchmark competitor courses in a way that leads to decisions you can implement. We’ll go from competitor selection and KPI definitions all the way to a practical gap analysis you can use to plan improvements. Sound good?

1. Benchmark Your Course Against Competitors

Benchmarking your course against competitors is how you figure out where you stand in the market—fast. Not “fast” as in you guess and hope. Fast as in you build a clear baseline, then iterate.

I usually start with a simple question: If a learner had $200 and 2 hours this week, which course would they pick—and why?

To get that answer, I use tools like Semrush and Ahrefs to see what competitors are doing on the acquisition side (SEO, PPC, what pages bring traffic). Then I cross-check that with what they’re actually teaching and how.

One example from a recent benchmark set: we compared 6 competitors in a “career skills” niche. Two of them had similar pricing, but one consistently outperformed on learner satisfaction in reviews. That was a clue to dig into delivery—shorter modules, more hands-on assignments, and quicker feedback loops.

Mini-workflow I use:

• Pick 3–5 competitors with similar audience + outcomes.
• Capture their landing page messaging (promise, time-to-result, proof points).
• Map their course structure (module length, assignments, quizzes, coaching/live support).
• Score each on a 1–5 rubric for “clarity,” “practice,” and “support.”

Once you have enough consistent data, you can spot the gaps that actually matter—like “we’re missing practice opportunities” or “our onboarding doesn’t activate learners early enough.”

2. Understand Different Types of Benchmarking

Not all benchmarking is the same. If you treat them like interchangeable, you’ll compare apples to oranges and wonder why the results don’t help.

Here’s the practical breakdown I follow:

• Internal benchmarking: compare your own courses (or cohorts) to find what works better. Example: Course A vs Course B completion rate by module.
• Competitive benchmarking: compare your course to direct competitors in the same learning format and audience. This is where you answer “why do people choose them?”
• Functional benchmarking: compare a specific function that impacts outcomes (feedback speed, support responsiveness, customer service, assignment grading turnaround).
• Generic benchmarking: borrow best practices from other industries—like SaaS onboarding patterns, community engagement tactics, or retail loyalty mechanics.

Quick sanity check: if you’re trying to improve completion, competitive benchmarking is great—but functional benchmarking can be even more useful if the “fix” is actually feedback timing or course pacing.

3. Identify Your Competitors

Identifying competitors sounds easy—until you realize you’ve listed companies that don’t actually compete for the same learner.

I recommend you build your competitor list using filters, not vibes. Start with courses similar to yours in:

• Audience: same skill level and job context
• Format: cohort-based vs self-paced matters a lot for engagement patterns
• Price range: learners’ expectations change by budget
• Time-to-value: “results in 30 days” is a different promise than “mastery over 6 months”
• Outcome: certification, portfolio, promotion readiness, etc.

Then use Backlinko’s Competitor Analysis Tool (or similar research tools) to see which players dominate relevant searches and content topics.

What metrics should you look for? I focus on a mix:

• Demand signals: estimated organic traffic, keyword coverage, content frequency
• Conversion signals: landing page messaging, offer structure, free trial/lead magnet quality
• Reputation signals: review sentiment, common praise/complaint themes

And here’s the part nobody tells you: competitor performance data is often incomplete. When that happens, I use proxy metrics:

• Engagement proxy: number of “student outcomes” posts, community activity frequency
• Satisfaction proxy: review text mining (what people consistently mention)
• Retention proxy: cohort start cadence + “next cohort” announcements (if they run cohorts reliably, learners likely stick around)

It’s not perfect, but it’s better than pretending you have exact completion rates when you don’t.

4. Choose Key Performance Indicators (KPIs)

Choosing KPIs is where most course benchmarks go wrong. People pick whatever’s easy to track, not what’s tied to outcomes.

In my experience, you want KPIs that cover the full learner journey:

• Activation: did learners start and engage early?
• Progress: are they moving through modules?
• Completion: do they finish?
• Satisfaction: do they feel it was worth it?
• Value proof: do they produce something (portfolio, certification, project)?

Here are KPI definitions I recommend (with formulas):

• Completion rate = (Number of learners who complete the course ÷ Number of learners who started) × 100
• Module completion rate = (Learners who finish Module N ÷ Learners who reached Module N) × 100
• Activation rate = (Learners who complete Day-1 or Week-1 action ÷ Total new enrollees) × 100
• Engagement score (lightweight) = (Avg. weekly lesson time ÷ Target time) × 100 (cap at 100 for sanity)

For satisfaction, NPS is helpful, but don’t treat it like a magic number. If you do use NPS:

NPS = %Promoters (score 9–10) − %Detractors (score 0–6)

What target ranges should you aim for? It depends on niche and format, but as a rough benchmark I’ve seen:

• Completion rate: 20–40% for many self-paced courses; 40–70% for well-run cohort programs
• NPS: 30+ is solid; 50+ is strong (and usually comes with clear outcomes + feedback)

And yes—tools can help you track KPIs over time. If you’re also working on discovery/SEO, resources like Semrush and Ahrefs can support the “traffic to enrollment” side of the equation.

5. Collect Relevant Data

Collecting data is where you separate “benchmarking” from “random competitor stalking.”

I like to split data into two buckets: what you can measure and what you can infer.

Quantitative data sources (you can usually get):

• Your own LMS/course analytics (completion, module drop-off, time-on-task)
• Landing page performance (conversion rate by traffic source, if available)
• Review ratings and review frequency (use star rating + recency)

Qualitative data sources (often overlooked):

• Review text: what people praise or complain about (not just the star score)
• Course syllabus: module length, assignment frequency, practice intensity
• Support signals: office hours, feedback turnaround, community presence

If you’re trying to benchmark competitor discovery and marketing, Backlinko’s Competitor Analysis Tool can help you capture demand signals. But here’s the key: normalize them so you’re not comparing wildly different scales.

Normalization tip: instead of comparing raw traffic numbers, compare relative indicators like “% of keywords in the target topic cluster” or “share of top-ranking pages.”

When competitor data is missing, don’t panic. Use proxies like:

• “How often do they post outcomes on social?” (engagement + retention proxy)
• “How detailed is their syllabus?” (usually correlates with clarity and pacing)
• “Do they show assignment examples?” (correlates with perceived value)

6. Analyze and Compare Performance Data

This is the step where benchmarking stops being theoretical and turns into decisions.

First, compare your KPIs to competitor proxies using the same time window and learner journey stage. Don’t compare “their overall rating” to “your post-completion survey.” That’s not a fair fight.

Here’s a sample benchmarking table (example values) that I’ve used to make gaps obvious:

Sample KPI comparison (normalized to your course’s start cohort):

• Completion rate (Started → Completed):
  • You: 32%
  • Competitor A: 46%
  • Competitor B: 38%
• Activation rate (Day-1 action):
  • You: 58%
  • Competitor A: 71%
  • Competitor B: 63%
• NPS:
  • You: 28
  • Competitor A: 44
  • Competitor B: 35
• Module drop-off (Module 2 → Module 3):
  • You: 22% drop
  • Competitor A: 12% drop
  • Competitor B: 16% drop

Now ask: what’s the pattern? In this example, you’re behind on activation and you’re losing learners early (Module 2 to 3). That usually points to onboarding clarity, pacing, or the “first assignment” experience—not necessarily the content later in the course.

In one benchmark cycle I ran, after we redesigned the first week (a tighter welcome flow + a guided practice assignment), activation went from 58% to 67% and completion improved from 32% to 38% over the next cohort. Not magic—just fixing the early friction.

If you’re also analyzing competitor content and discovery topics, Semrush can help you identify which course-related topics they’re ranking for. That’s useful when you suspect your content is missing high-intent keywords learners use before buying.

7. Implement Strategies for Improvement

Once you’ve got your gaps, it’s time to act. But don’t just “work on the course.” Pick changes that map directly to the KPI issues you found.

I use a simple impact/effort filter:

• High impact, low effort: onboarding tweaks, clearer lesson objectives, better module introductions
• High impact, medium effort: redesign first assignments, add structured practice, improve feedback timing
• High impact, high effort: rebuild curriculum, add coaching layer, create new project tracks

Example strategy set based on the sample table above:

• Improve activation: add a “Day-1 win” task (something learners can finish in 15–20 minutes) and send a first reminder within 6 hours
• Reduce early drop-off: make Module 2 → Module 3 transition smoother with a recap quiz + context video (short, 3–5 minutes)
• Raise satisfaction (NPS): add a feedback checkpoint by Day 7 with rubric-based grading and a quick “what to do next” note

Then measure. Don’t wait until the end of the year.

Practical measurement tip: after each update, compare the same KPI cohorts (e.g., Week-1 activation and Module 3 drop-off) rather than only looking at overall completion at the end.

And if you’re using an AI-assisted workflow, make it support the benchmarking process. For example, you can feed in competitor course URLs and your course outline so the tool generates a KPI comparison sheet and a gap summary you can turn into a revision plan.

8. Monitor Key Metrics Regularly

Benchmarking isn’t a one-time event. Markets shift, competitors refresh their offers, and your learners change too.

I recommend a cadence like this:

• Weekly (light check): activation and early module engagement
• Monthly (course health): completion trend and drop-off points
• Quarterly (strategy): satisfaction (NPS), value proof (projects completed), and cohort-to-cohort variance

Also, keep an eye on competitor updates. If they add live sessions, shorten modules, or change their syllabus structure, it can shift learner expectations overnight.

One thing I’ve noticed: when you monitor only “overall completion,” you miss the problem until it’s too late. Watching drop-off between specific modules tells you where to intervene.

9. Follow Best Practices for Effective Benchmarking

Here are the best practices that keep benchmarking useful (instead of overwhelming):

• Start with a clear objective: “Increase completion by 6 points” beats “see how we compare.”
• Benchmark the same learner journey stage: acquisition metrics vs course metrics should be separated.
• Use consistent data rules: define “started,” “completed,” and “active” the same way every time.
• Document your assumptions: if you used proxies, note what they represent.
• Run small tests: don’t redesign everything at once unless you have to.
• Make it cyclical: set a repeatable schedule so you build momentum.

And yes—share insights with your team. If you can’t explain the “why” behind a KPI change in plain language, your improvements won’t stick.

10. Maintain an Innovative Edge in Course Offerings

Innovation is what keeps you competitive after you’ve closed the obvious gaps.

What I like to do is reserve a portion of each roadmap for experimentation—something competitors may not be doing yet. A few formats that tend to move KPIs:

• Gamified practice: quick quizzes with immediate feedback and streaks
• Portfolio-first structure: learners build one meaningful project from early modules
• Live or cohort touchpoints: office hours, demo sessions, or peer reviews
• Micro-assignments: smaller tasks that reduce “I don’t know where to start” friction

When I benchmark innovative courses, I’m not just looking for “cool features.” I’m asking: does this reduce drop-off, increase practice, or improve feedback quality? If it doesn’t, it’s just decoration.

Staying fresh and relevant helps enrollment, but it’s the learner experience improvements that usually show up in completion and satisfaction.

11. Summarize Your Findings and Next Steps

When you wrap up your benchmarking cycle, don’t just write a summary. Turn it into a plan.

I format my wrap-up like this:

• Top 3 KPI gaps: activation, completion, NPS (or whatever you measured)
• Root-cause hypotheses: onboarding friction, weak early practice, slow feedback
• Planned changes: 2–4 specific course updates with owners
• Success thresholds: e.g., “activation from 58% → 67%” and “completion from 32% → 38%”
• Measurement plan: which cohorts and which KPIs you’ll check first

Then keep going. Benchmarking is how you avoid falling behind while competitors iterate.

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