Northius, an educational platform specializing in master's degrees and technology courses, saw a growing volume of students with unpaid installments and decided to take a step further: proactively activate payment or date commitment through automated calls, without overloading the team or compromising the student experience.
With Ringr, Northius found a way to reduce delinquency without adding a burden to the operation.
Outbound
1 in 3
contacted students reached a conversation with Ringr.
24.3%
payment commitment rate on contacted students.
5.6%
of reported payments, identifying already resolved debt not reflected in the system.
The challenge
Northius was facing several challenges:
High volume of students with unpaid fees, distributed across different debt stages and with different due dates.
Insufficient prior multichannel approach; students were already receiving an email and an SMS with the details to make the payment, but the response rate was insufficient without a proactive follow-up call.
Manual registration of payment commitments, which generated a lack of traceability and made it difficult to prioritize subsequent follow-up.
Inconsistencies in the information of some cases that required early detection and activation of internal reviews to maintain data quality.
The solution
With Ringr, Northius implemented an outbound voice agent that combines early collection with operational support, allowing it to reduce delinquency, prioritize follow-ups, and minimize the manual workload in managing unpaid debts.
This agent:
Makes outbound calls to students with outstanding installments, informing them of the detected issue with the payment for the corresponding month's fee.
Verifies identity at the beginning of the call before sharing any information about the debt, ensuring the security and privacy of the process.
Informs of the outstanding amount in a clear and personalized manner.
Registers the payment commitment date when the student confirms their intention to pay the debt, generating automatic traceability.
Helps detect inconsistencies in the data or in the payment status, triggering internal reviews that improve the quality of the information.
The organization not only reduced delinquency and freed the team from manual management, but also discovered that when there is contact, there is a result. Where the system marked outstanding debt, Ringr helped identify payments already made, providing operational precision that goes beyond collection.
"Ringr nos ha dado agilidad para ajustar los horarios y el canal de contacto según la situación de cada caso, lo que nos permite llegar antes cuando la incidencia es reciente y facilitar acuerdos cuando la situación es más compleja. Esa flexibilidad ha sido clave para agilizar la gestión y mejorar nuestros resultados de recobro. Ringr se ha convertido en uno más del equipo."
— Antonio Herreros Díaz, Debt Collection Department of Northius
