Executive Overview
This summary brings the full learner journey into one view so stakeholders can quickly see where demand is healthy, where conversion slows, and where intervention will return the strongest operational value.
Portfolio case study - static report
Total Enrollments
6,800
Generated across 4,200 registered learners in the reporting window.
Completion Rate
40.9%
2,778 enrollments reached completion.
Average Satisfaction
3.23
Measured out of 5.0 across the full enrolled population.
Drop-off Rate
59.2%
4,022 enrollments did not complete.
Key Rate Summary
Core funnel conversion rates and current performance status.
| Metric | Rate | Volume | Status |
|---|---|---|---|
| Enrollment Rate | 73.6% | 6,800 / 9,240 visitors | Strong |
| Activation Rate | 54.4% | 3,700 started | In range |
| Engagement Rate | 46.4% | 3,153 active | In range |
| Completion Rate | 40.9% | 2,778 completed | Opportunity |
| Retention (Day 30) | 34.7% | 2,358 returned | Priority |
| Average Satisfaction | 3.23 / 5 | All enrollments | Opportunity |
Monthly Enrollment vs Completion
Monthly volume trend from Jan 2024 to Dec 2025.
Demand remains resilient
Visitor-to-enrollment conversion stands at 73.6%, which indicates strong initial interest and effective front-end demand capture.
Activation is the main commercial constraint
45.6% of enrolled learners never reach lesson one. That makes onboarding and time-to-first-session the most valuable area for product improvement.
Completion improves once momentum starts
Three out of four learners who begin a course ultimately complete it, which suggests the strongest payoff will come from better activation rather than additional acquisition alone.
Learner Funnel
The funnel shows how volume moves from awareness to completion, with the largest losses highlighted so product, learner success, and growth teams can focus on the highest-value conversion gaps first.
Acquisition to completion flow
Funnel Stages
Absolute volume, conversion from the prior stage, and associated loss at each point in the journey.
Visitors
9,240
Baseline
Enrolled
6,800
73.6% conversion
Down 2,440 from visitors
Started
3,700
54.4% conversion
Down 3,100 after enrollment
Active
3,153
85.2% of starters
Down 547 after start
Completed
2,778
88.1% of active
Down 375 after active learning
Conversion Rates
Stage-by-stage conversion relative to the previous step.
Enrollment to start is the weakest gate
3,100 learners enroll but do not begin. The evidence points to activation friction rather than a lack of interest or poor course-market fit.
The learning experience holds once started
Among learners who start, 75% complete. This indicates that course value is being realized after the initial barrier is cleared.
Activation is the fastest path to growth
A 10% uplift in activation would create roughly 680 additional starters and about 510 more completions without increasing top-of-funnel traffic.
Course Performance
Course-level performance shows where the catalog is serving learners effectively and where difficulty, readiness, or support design may be limiting throughput and satisfaction.
10-course portfolio view
Completion Rate by Course
Higher values indicate stronger learner progression through each course.
Satisfaction Score by Course
Average learner satisfaction measured out of 5.
Full Course Breakdown
The full catalog ranked by completion performance, with engagement and satisfaction included for context.
| Course | Category | Difficulty | Enrollments | Completion % | Engagement % | Satisfaction |
|---|---|---|---|---|---|---|
| Excel for Operations | Productivity | Beginner | 620 | 63.2% | 3.83 | |
| Dashboard Design for Execs | Business Intel. | Beginner | 655 | 63.2% | 3.83 | |
| Data Literacy for Teams | Analytics Found. | Beginner | 566 | 62.2% | 3.81 | |
| Product Analytics Fund. | Product Analytics | Intermediate | 715 | 48.1% | 3.31 | |
| Customer Research EdTech | Product Strategy | Intermediate | 566 | 46.1% | 3.24 | |
| Power BI Storytelling | Business Intel. | Intermediate | 691 | 48.3% | 3.31 | |
| SQL for Product Metrics | Data Analysis | Intermediate | 737 | 45.5% | 3.22 | |
| Cohort Analysis in Practice | Product Analytics | Advanced | 753 | 32.7% | 2.74 | |
| Experimentation & A/B Testing | Product Analytics | Advanced | 687 | 32.0% | 2.69 | |
| Python for Reporting Auto. | Data Analysis | Advanced | 810 | 31.5% | 2.65 |
Beginner content is the strongest portfolio asset
All three beginner courses deliver approximately 60% completion and satisfaction near 3.8, positioning them as reliable entry points for new learners.
Advanced pathways are underperforming
Python, A/B Testing, and Cohort Analysis sit below 26% completion despite meaningful demand, which points to a readiness or scaffolding gap rather than a discovery problem.
Prerequisite design would likely improve throughput
Structured pathways, readiness checks, or recommended pre-work could improve persistence in the advanced catalog without diluting enrollment demand.
Engagement and Retention
Engagement depth and return behavior provide the clearest signal on whether learners are building enough momentum to reach completion and remain active over time.
Behavior and momentum signals
Completion Rate by Session Band
Completion accelerates sharply once learners move beyond the first few sessions.
Retention Decay: Day 1 to Day 30
Share of enrolled learners returning at each checkpoint.
Cohort Retention Heatmap
Retention by enrollment month cohort. Darker cells indicate stronger return behavior.
Session Band Detail
Engagement depth, time spent, and progress indicators by session group.
| Sessions | Enrollments | Avg Hours | Avg Progress | Completion |
|---|---|---|---|---|
| 1-2 sessions | 3,638 | 0.35 hrs | 3.7% | 0.0% |
| 3-5 sessions | 353 | 4.54 hrs | 49.7% | 0.0% |
| 6-8 sessions | 879 | 13.8 hrs | 93.7% | 96.7% |
| 9+ sessions | 1,930 | 13.7 hrs | 94.6% | 99.9% |
Retention Rates Summary
Returning learners at each selected interval.
| Day | Returning | Eligible | Retention Rate |
|---|---|---|---|
| Day 1 | 3,284 | 6,800 | |
| Day 7 | 3,109 | 6,800 | |
| Day 14 | 2,849 | 6,800 | |
| Day 30 | 2,358 | 6,800 |
Early-session attrition is steep
3,638 learners remain in the 1 to 2 session band with zero completion, making early re-engagement the highest-leverage intervention available.
Six sessions is the turning point
Once learners reach six or more sessions, completion rises to 96% to 100%. The product experience strengthens materially after the early usage hurdle is cleared.
Day 30 retention needs structured reinforcement
Retention falls 13.6 points from Day 1 to Day 30, suggesting room for stronger nudges, milestone reinforcement, and lightweight accountability mechanisms.
Learner Segmentation
Segment analysis highlights where outcomes differ across device, geography, and age so support actions can be targeted where the improvement opportunity is largest.
Audience performance view
Completion by Device
Desktop learners currently outperform mobile and tablet cohorts.
Completion by Region
Provincial ranking across the South African learner base.
Completion by Age Group
35 to 44 leads while 25 to 34 trails the peer groups.
Device Breakdown
Completion, engagement, and satisfaction by device type.
| Device | Enrollments | Share | Completion | Engagement | Satisfaction |
|---|---|---|---|---|---|
| Desktop | 2,396 | 35.2% | 47.8% | 52.6% | 3.44 |
| Mobile | 3,808 | 56.0% | 36.2% | 42.3% | 3.08 |
| Tablet | 596 | 8.8% | 42.6% | 47.2% | 3.29 |
Regional Completion Ranking
Relative performance across all nine provinces.
| Province | Enrollments | Completion | Engagement |
|---|---|---|---|
| Eastern Cape | 598 | 44.0% | 49.5% |
| Limpopo | 530 | 42.5% | 47.2% |
| Western Cape | 1,155 | 42.3% | 48.7% |
| Free State | 288 | 41.0% | 45.5% |
| Mpumalanga | 440 | 40.7% | 45.2% |
| Gauteng | 2,360 | 40.6% | 46.4% |
| Northern Cape | 62 | 38.7% | 45.2% |
| North West | 202 | 38.6% | 44.6% |
| KwaZulu-Natal | 1,165 | 38.2% | 43.1% |
Mobile is the biggest segment and the biggest experience gap
Mobile accounts for 56% of enrollments but trails desktop by 11.5 percentage points on completion, making it the most commercially important experience gap in the portfolio.
The 35 to 44 cohort leads on outcomes
This group records the highest completion rate at 42.1%, suggesting stronger intent, focus, or fit with the current course design.
Gauteng offers the largest absolute upside
With 2,360 enrollments, even modest completion gains in Gauteng would generate more finished learners than improvement in most smaller provinces.
Drop-off Analysis
This view isolates where learners exit, which segments are most exposed, and where targeted interventions could recover meaningful volume without additional acquisition spend.
Attrition concentration analysis
Drop-off by Journey Stage
Distribution of attrition across the learner journey.
Drop-off Rate by Course
Share of enrolled learners who do not complete each course.
Drop-off by Device
Mobile remains the highest-risk device segment.
| Device | Drop-off Rate |
|---|---|
| Mobile | |
| Tablet | |
| Desktop |
Drop-off by Age Group
Attrition remains relatively consistent across age cohorts.
| Age Group | Drop-off Rate |
|---|---|
| 25-34 | |
| 45+ | |
| 18-24 | |
| 35-44 |
Journey Stage Breakdown
Share of all 6,800 enrollments by final state.
| Stage | Count | Share |
|---|---|---|
| Enrolled not started | 3,100 | 45.6% |
| Completed | 2,778 | 40.9% |
| Dropped mid-course | 529 | 7.8% |
| Dropped after first lesson | 207 | 3.0% |
| Active no completion | 111 | 1.6% |
| Dropped after enrollment | 75 | 1.1% |
Non-starters dominate total attrition
The single largest drop-off bucket is the enrolled learner who never begins. Improving first-session entry would recover more value than any later-stage intervention.
Advanced courses carry concentrated risk
Python, A/B Testing, and Cohort Analysis post dropout rates between 74% and 77%, reinforcing the need for clearer readiness design and progression support.
Mid-course attrition is comparatively manageable
Only 7.8% of enrollments are lost mid-course, which suggests reminders, milestone reinforcement, and timely check-ins could deliver measurable gains.