Retention Solution

Spot At-Risk Students Before They Leave

Every dropout is a student you could have saved, and lost revenue, a dent in reputation and weaker NAAC & NIRF outcomes. L2M Campus turns your everyday data into an early-warning system, then puts mentors, parents and remedial support into action while it still matters.

Student dropout early-warning risk analytics illustration
The problem

By the time you notice, it's too late

Warning signs are scattered

Falling attendance, slipping marks and unpaid fees sit in three different systems, nobody connects the dots until a student has already disengaged.

Mentoring is reactive

Mentors and counsellors only hear about a struggling student after they stop attending, when intervention rarely works.

The cost is invisible

Each dropout is lost tuition, a weaker completion ratio and lower NAAC & NIRF Graduation Outcome scores, yet it never shows on a dashboard.

Attendance decline-18%
Internal marks drop2 subjects
Fee overdue45 days
Risk scoreHIGH
Early-warning analytics

One risk score from every signal

L2M Campus continuously reads attendance, internal assessment trends, backlogs and fee status across the platform and computes a live risk score for every student, so struggling students surface weeks earlier, not at the exam hall.

  • Combines attendance, academic performance, backlogs & fee status
  • Configurable thresholds per program, year and department
  • Colour-coded risk dashboards for mentors, HODs and the principal
  • Trend view shows whether a student is improving or declining
Mentor assignedauto
Parent alert sentapp + SMS
Remedial plan loggedtracked
Outcome monitoredweekly
Intervene & track

Turn a flag into a rescue

A high-risk flag doesn't just sit there, it routes to the student's mentor, notifies parents, and opens a counselling and remedial workflow you can track to resolution. Every intervention and its result is recorded.

  • Auto-assign mentors and open counselling cases
  • Parent notifications via the app, SMS and WhatsApp
  • Remedial classes, extra assessments & goals with follow-up dates
  • Closed-loop tracking of what worked, for audit & IQAC review
The approach

From signal to saved student

Detect

Live risk scores surface at-risk students from real, everyday campus data.

Alert

Mentors, HODs and parents are notified the moment risk crosses a threshold.

Support

Counselling, remedial classes and mentoring plans are launched and logged.

Measure

Track recovery, prove impact and feed retention data into NAAC & NIRF.

FAQ

Retention questions, answered

It draws on data you already capture in L2M Campus, attendance, internal assessment and exam performance, backlogs, and fee status, and combines them into a single, configurable risk score. Because every module shares one student record, no manual data stitching is needed.

Yes. Thresholds, such as attendance below 75%, two or more failed internals, or fees overdue beyond a set period, are fully configurable per program, year and department, so the model reflects your institution's reality.

Better retention directly improves your progression and graduation-outcome metrics, a core part of NIRF's Graduation Outcomes and evidence NAAC looks for in student support and mentoring. Every intervention is documented, giving your IQAC ready-made evidence.

Yes. Flags route to the assigned mentor and can notify parents through the parent app, SMS and WhatsApp, turning early detection into timely, coordinated action.

Related

Keep exploring

Keep more students

See early-warning analytics on your campus