See learning, engagement, and revenue — in one dashboard.
Vacademy's analytics layer connects course progress, live attendance, assessment scores, payments, and notifications into a single cohort + per-learner view. Predictive risk scores flag drop-offs before they happen; branded PDF reports go out automatically; agentic AI surfaces what to do next.
- Live cohort + per-learner dashboards
- Predictive drop-off risk scoring
- Branded PDF reports · auto-mailed
- Agentic AI · suggests what to do next
- Outreach to 42 red-tier learners today · suggested script ready
- Slide 14 of Chapter 04 has 38% wrong rate · flag for content review
- Cohort C is trending +6% vs forecast · candidate for upsell
Why teams switch
The status quo is costing your team time and money
Your data is everywhere except where decisions happen
Course progress in the LMS, payments in the gateway dashboard, attendance in WhatsApp groups, scores in a spreadsheet. Nobody on the team has the full picture — so nobody makes the right call.
Drop-offs are obvious only in hindsight
By the time a learner has been silent for 3 weeks, they've already left. Without predictive risk scoring, you only spot churn after it's happened.
Reports take ops team a full day every Monday
Generating the weekly cohort report — attendance, assessments, payments, certificates — is a manual export-and-merge ritual. Reports go out late and lose impact.
Inside the analytics layer
KPIs + risk tiers + agentic action queue
Live KPIs, engagement velocity trend, predictive drop-off risk, and the AI-ranked top-3 actions for this week.
- Outreach to 42 red-tier learners today · suggested script ready
- Slide 14 of Chapter 04 has 38% wrong rate · flag for content review
- Cohort C is trending +6% vs forecast · candidate for upsell
How insights actually drive action
From event to dashboard to next teaching move
Every platform event (slide viewed, MCQ answered, payment cleared, attendance recorded) feeds the same event bus. Dashboards, risk scoring, and AI suggestions all read from there.
Live cohort dashboard
Real-time view of progress, engagement, attendance, scores, and revenue per cohort. Drill into any individual learner with one click.
Per-learner deep-dive
See every slide, quiz, payment, notification, doubt, and live class — chronologically. Same view your mentors use during 1:1 sessions.
Predictive risk scoring
Agentic AI scores each learner's drop-off risk based on engagement velocity, missed signals, and cohort patterns. Mentor playbook suggested per risk segment.
Branded reports + auto-share
Weekly PDF report per cohort — beautifully branded — auto-emails to academic heads, parents, and corporate L&D contacts. Same data on the live dashboard.
What's inside
Analytics designed for academic decisions — not dashboards-as-art
Cohort dashboards
Real-time view of progress, engagement, attendance, completion, scores, and revenue — sliced by cohort, course, teacher, region, or segment.
Per-learner timeline
Chronological view of every event: slides watched, MCQs answered, attendance, doubts, payments, notifications opened. Mentor-ready in one click.
Predictive drop-off scoring
AI scores each learner's churn risk 1–10 weeks ahead based on engagement signals. Mentor playbooks suggest specific outreach for each risk tier.
Weak-content surfacing
Identify slides + chapters + MCQs the cohort consistently fails. Tells your content team exactly what to revise — not vague survey feedback.
Branded PDF reports
Visual weekly / monthly reports with your logo, colours, and watermark. Auto-emailed to academic heads, parents, and corporate L&D. Per-cohort, per-region, per-language.
Agentic AI suggestions
Beyond charts — the AI surfaces 'here are the 3 highest-impact actions to take this week' per cohort, ranked by predicted lift in completion / revenue.
What changes after the first month
From dashboards-as-art to decisions-with-data
Avg cohort retention uplift when predictive scoring drives mentor outreach.
Avg drop-off-risk flagged before the silent-churn week.
Weekly cohort reports go from a 6-hour ritual to fully automated.
All learning + payment + attendance data on one ledger, no exports.
Wired into the platform
Analytics aren't dashboards — they're triggers
Every analytics signal can fire an Automation Engine workflow: mentor outreach, parent digest, remedial enrolment, upsell campaigns. Data drives action by default.
Auto-route high-risk learners to mentors with a suggested outreach script.
Send the weekly branded cohort report PDF every Monday 09:00 via email + WhatsApp.
Trigger remedial micro-course enrolment for learners flagged 'red' two weeks in a row.
Open enterprise renewal conversation when corporate cohort engagement crosses 80%.
Built for every team
Who reads the dashboard
Academic Heads
- See real-time cohort performance vs targets
- Identify struggling sub-cohorts before parents call
- Compare teacher effectiveness with hard data
Mentors & Counsellors
- Get a daily 'who to reach out to today' queue
- See the full learner timeline before any 1:1
- Track outreach impact on retention
Founders / CFOs
- Connect engagement to revenue forecasts
- Track cohort LTV, refund risk, renewal probability
- Decide budget allocation based on cohort ROI data
Customer spotlight
Hybrid coaching · 18,000 learners across 14 cities
“We used to run weekly Excel marathons to compile cohort reports. The Vacademy analytics layer killed that ritual entirely — and the predictive risk scoring is uncanny. Last cohort, we flagged 47 at-risk learners three weeks before they would have churned. 34 of them are still active.”
— VP Academics, Hybrid Coaching Group
Frequently asked
Common questions from buyers
What data does the dashboard actually show?+−
Course progress (chapters viewed, time spent), live session attendance + dwell, assessment scores per question + per criterion, payment status + plan, notifications opened + clicked, AI doubt chatbot conversations, certificate eligibility, and revenue per learner. All real-time.
How accurate is the predictive risk score?+−
Calibrated per institute on your historical churn data. Production accuracy: 78–86% precision at predicting drop-off 2–4 weeks ahead. Improves with more data; you see the confidence + factors behind each score.
Can we export raw data?+−
Yes. CSV / Excel export per dashboard view, scheduled exports to S3 or Google Drive, and a read-only data warehouse connector (BigQuery / Snowflake / Redshift) for enterprise customers.
Can parents see this?+−
Parents see a tailored version (their child's progress, attendance, scores, summary report) via the Parent Portal — not the full institute dashboard. Internal-only data stays internal.
What about agentic AI — what does it actually decide?+−
It suggests, you decide. The AI surfaces ranked actions ('these 23 learners need outreach today', 'this chapter is the top weak-spot', 'this cohort is trending toward 18% churn — here are 3 interventions'). All actions are explicit recommendations with reasoning, not silent decisions.
From spreadsheets to a real source of truth
Send us a sample cohort — we'll build the dashboard.
Share one cohort's data (or let us pull from your existing setup). In a 30-min session we'll build the live dashboard, run the risk scoring, and walk you through the agentic-AI suggestions.