The Problem
Most creator courses only convert 3-15% of enrolled students into completions. Low completion drives refund risk, poor testimonials, and weaker launches.
Education Analytics SaaS
Course Completion Predictor analyzes student engagement patterns and flags the exact learners likely to disengage in the next 7 to 21 days. You get a prioritized queue, intervention steps, and a live risk dashboard in minutes.
Most creator courses only convert 3-15% of enrolled students into completions. Low completion drives refund risk, poor testimonials, and weaker launches.
Detect disengagement before churn with risk scores powered by inactivity trends, assignment velocity, watch consistency, and support friction.
Recover at-risk students before they refund, improve social proof through more completions, and protect launch revenue with proactive retention workflows.
Scores each learner by dropout probability, risk level, and expected churn window. Prioritizes who needs intervention first.
Generates specific actions: reactivation messages, milestone resets, office hours, and support escalation for each risk pattern.
Upload exports from your course platform or post student activity records via API. The dashboard updates with fresh risk projections instantly.
Quantifies expected monthly revenue exposure so you can tie retention efforts to business outcomes, not guesswork.
Built for independent creators and education teams that need retention intelligence without enterprise overhead.
Growth Plan
$15/month
The model scores each student using engagement decay, assignment momentum, and support friction signals. As more student history is uploaded, your intervention timing and thresholds become more precise.
No. Upload a CSV export from your course platform or push student activity through API. The dashboard returns risk levels, dropout windows, and next-step interventions automatically.
One workspace, unlimited student uploads, risk scoring, intervention recommendations, and webhook-based purchase access controls for your team dashboard.
Yes. The ingestion endpoint accepts normalized CSV columns, and you can map platform-specific fields before upload if your export headers differ.