Marketing, admissions, and academics see different realities.
Marketing reports leads and clicks, admissions focuses on offers and starts, academics care about progression and completion—and nobody agrees on what 'good' looks like.
Industry · Education, EdTech & Training
Connect enrollment, learning, and outcomes to one analytics story.
We help universities, online schools, bootcamps, and training providers measure what actually matters: how students find you, how they learn, and whether they succeed. From marketing funnels to LMS events to long-term outcomes, we turn scattered education data into a decision-ready analytics spine.
- Clean funnels from first visit → inquiry → application → enrollment → completion (and beyond).
- Learning engagement, progress, and outcomes wired into GA4, your LMS, and your reporting stack.
- Privacy-aware analytics that respects students, regulators, and institutional governance.
Built for higher ed, online programs, bootcamps, corporate academies, and EdTech platforms.
Example · From Clicks to Completions
Enrollment lens
- ✦ Channel → inquiry → application → enrollment
- ✦ Campaign-level cost per start
- ✦ Time to enroll by segment
Learning lens
- ▸ Module progress & drop-off
- ▸ Assessment performance trends
- ▸ Completion and certification rates
Result: marketing isn't just optimizing for leads—it's optimizing for engaged, successful learners.
Education Reality
You’re judged on outcomes—but your analytics stops at leads and clicks.
We build analytics around the full student lifecycle: attraction, admissions, learning, completion, and beyond. That means you can allocate budget, design programs, and support learners using data that actually reflects their journey.
You can’t see which students you actually serve well.
You know top-line enrollments, but not which segments engage, progress, and complete—and which quietly disappear after week one.
LMS data is locked away from the rest of the business.
Learning behaviour lives in the LMS, marketing data lives in web analytics, financials sit with finance—and they only meet in manual reports before board meetings.
Privacy and governance slow every analytics initiative.
Legitimate concerns about student privacy, regulations, and reputational risk make it hard to move beyond generic pageview dashboards.
The Student Lifecycle
One continuous view: from first visit to completion and beyond.
Instead of optimizing each department's metrics in isolation, we design measurement around the journey your students actually experience. Then we give each team the lens they need—on top of a shared foundation.
Attract & Inquire
- Map campaigns and channels to inquiries, applications, and enrollments—not just form fills.
- Understand which audiences, keywords, and creatives lead to serious inquiries vs browsers.
- Connect website and landing page behavior to downstream application quality.
Apply & Enroll
- Instrument each key step of the application and admissions process.
- Track time-to-enroll, offer acceptance rates, and yield by channel and segment.
- Spot friction points in the flow where high-intent students drop out.
Learn & Progress
- Bring LMS events (logins, module progress, assessments) into your analytics stack.
- Define engagement and risk thresholds for learners, cohorts, and programs.
- See which content, pacing, or formats correlate with better progression.
Complete & Outcomes
- Measure completion, graduation, and certification rates by segment and channel.
- Connect career outcomes or alumni engagement where data is available.
- Support accreditation and leadership questions with defensible numbers.
Education Data Architecture
A measurement spine that serves marketing, admissions, and academic leadership.
We design your analytics so you can answer questions from all sides—board, marketing, academics, accreditation—without reinventing the wheel each time a report is due.
Web & marketing layer
- GA4 and tag management capturing campaigns, content, and lead capture.
- Server-side tracking for key conversion events like inquiries and applications.
- UTM and campaign frameworks that admissions and marketing both understand.
Typical tech
GA4, GTM/sGTM, Meta/Google/Bing/LinkedIn, landing page platforms, CRM forms.
Admissions & CRM layer
- Track status changes (inquiry → applicant → admitted → enrolled).
- Align CRM stages with analytics events and reporting dimensions.
- Build reliability checks so CRM and GA4 numbers stay reconcilable.
Typical tech
HubSpot / Slate / Salesforce / other CRM, admission systems, warehouse connectors.
LMS & learning layer
- Design an event schema for logins, sessions, progress, and assessments.
- Mirror LMS events into your warehouse without over-exposing PII.
- Define engagement and risk signals that student success teams can act on.
Typical tech
Canvas, Moodle, Blackboard, proprietary LMS, xAPI / LRS where available, warehouse models.
Finance & outcomes layer
- Tie tuition, payments, scholarships, and refunds to students and cohorts.
- Build views showing revenue and cost per student, program, and channel.
- Where applicable, connect career or internal outcomes to the same spine.
Typical tech
Student information systems, finance tools, warehouse, BI (Looker Studio / Power BI).
Decision & governance layer
- Provide tailored dashboards for leadership, marketing, admissions, and academics.
- Codify definitions so "enrollment" and "completion" mean the same thing everywhere.
- Implement data access, retention, and aggregation patterns that respect privacy obligations.
Typical tech
Role-based BI, documentation, data catalogues, governance workflows.
Selected Education Patterns
Make better decisions about programs, channels, and student support.
The common pattern: treat students as more than "leads" or "active users". When your analytics follows them across the full journey, you can invest where it genuinely improves learning and outcomes.
University faculty & online programs
Problem: Online programs were growing, but leadership couldn't see which programs, audiences, and channels led to engaged, successful students vs. early dropouts.
What we did: Connected GA4, CRM, and LMS data into a shared model. Defined engagement and risk thresholds, and built program-level dashboards showing funnel, learning, and completion metrics.
Impact: Marketing shifted budget to audiences and programs with strong completion; academics focused redesign on modules where students consistently stalled.
Bootcamp & workforce training provider
Problem: Paid acquisition was scaled aggressively, but only top-of-funnel metrics were monitored. Completion and outcomes were tracked manually and inconsistently.
What we did: Redesigned measurement around cohorts, completion, and job outcomes. Instrumented application and learning flows, then built cohort analytics and channel-level unit economics.
Impact: Budgets were reallocated towards cohorts and channels that produced both strong completion and employment outcomes; underperforming campaigns were cut with confidence.
Corporate academy / L&D platform
Problem: The team delivered many courses and sessions, but HR and business leaders couldn't see which programs changed behavior or performance.
What we did: Defined behaviour and performance proxies tied to learning events, integrated product and HR data, and built dashboards showing program impact by team and role.
Impact: Leadership prioritized programs with visible impact on performance; low-impact, high-effort initiatives were redesigned or retired.
For marketing & recruitment
See which campaigns bring in students who inquire, apply, enroll, and complete—not just click. Justify budgets with storylines leadership can trust.
For admissions & student success
Get visibility into bottlenecks and risk points, from applications stuck in review to learners at risk of dropping out—so you can intervene earlier.
For academic leadership & governance
Monitor programs, cohorts, and long-term trends with a measurement posture that respects privacy, regulation, and institutional standards.