Churn Prediction
Project Name
Churn Prediction
Client
UK Based MVNO
Our Role
Churn Prediction Solution
“We needed a reliable solution that can help us identify customers who are likely to cancel our services. With CloudTern Churn Prediction Solution, we are able to not only retain our customers but are also able to bring new customers to our service. “
William
Chief Technical Officer
Company Overview
Leading UK based MVNO chose CloudTern for its customer retention strategies. CloudTern designed a Churn Prediction solution that identified possible churners to perfection while increasing customer satisfaction.
The Challenge
MVNO partnered with top Telcos in the UK and has invested in a high quality infrastructure to provide reliable telecom services to its customers.
While the company had no issues with the technical services, the main challenge was with churners. As MVNO offers subscription-based services, the increase in number of customers who cancel their subscription services was negatively affecting their revenues.
As the company serves thousands of customers, it is not easy to interact with each and every customer.
The company needed a reliable solution to identify possible churners so that they can go an extra mile to interact and retain those specific customers.
So, MVNO was looking for a technology partner to help them in churn prediction.
The Solution
MVNO chose CloudTern to develop a churn prediction solution to identify potential churners.
CloudTern designed a churn prediction service using the TensorFlow.
CloudTern implemented the neural network model to create the churn prediction service.
This model implements the learning algorithm for matching neurons using the created predictive ML model.
CloudTern Churn Prediction model is cloud-based software which means ABC Telecom employees can access this software from any location and device.
Key Benefits
Predicting the potential churners
Identifying the key factors of churn & Real time identification of the customer
Helping them to understand their customers behaviour & Retain them
Reduction of 30%
churn rate
With CloudTern Churn Prediction model, ABC Telecom was able to proactively identify potential churners and successfully retain them. The company was able to identify the key factors of Churn for a real-time identification of the customer. With this model, ABC Telecom was able to understand the customer behaviour to successfully retain them
With CloudTern Churn Prediction Model, the Churn rate was reduced by 30%. In addition to retaining customers, ABC Telecom was able to increase customer satisfaction levels to gain new customers and thereby increase its revenues.
