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Korvatech.ai

Solutions & results · Retention

Every student who continues has a future ahead.

Detect risk signals, prioritize contact and activate academic or financial support with human follow-up.

25%

of at-risk students retained.

Every student who continues has a future ahead.

Technology behind the result

  • Risk alerts
  • Predictive analytics
  • Student CRM
  • Contact automation
  • Academic & payment data

Target outcomes for proposed pilots. The metric, its definition and the measurement period are agreed before we start, and validated at the end.

Proposed solution

Illustrative potential gross revenue

800 at-risk students × 25% retained × US$150 monthly fee × 8 months = US$240,000 associated with the continuity of 200 students. Illustrative assumptions, not collected revenue.

How we get there

  1. 01

    Detect

    Risk alerts from academic, attendance and payment data.

  2. 02

    Prioritize

    A ranked contact list for counselors, with context.

  3. 03

    Accompany

    Automated outreach plus human follow-up, tracked in a student CRM.

How it is measured

Retention evaluated at the close of the academic period against a comparable cohort.

Suggested pilot

6-8 weeks; retention evaluated at the end of the academic period.

Next step

Tell us what you need to solve.

Let's define together the problem, the expected value and a first useful delivery.

Value, acceptance and payment terms are agreed per stage.