In part 1 of this blog post, we explore data-driven insights on churn behavior, leveraging Axiros' solutions to analyze real-world subscriber data. Through graphical analysis, correlation studies, PCA dimensionality reduction, and statistical tests, we uncover the key indicators of churn and what telecom providers can do to reduce it.

So, the big question remains: Why are your customers leaving—and how can you stop it? Let’s dive in.

A tsunami of data is already on its way to CPE engineering, driven by unprecedented demands on customer service quality management. Similar waves have already transformed sectors like retail, financial services, marketing and advertising, and media. The world is never going back.

Imagine what the head of a customer-facing or service-quality-driven business function might be able to do if they had access to a detailed picture of every individual customer’s service quality experience…

Imagine what the head of a customer-facing or service-quality-driven business function might be able to do if…

Telco customers have become increasingly familiar and comfortable with digital channels over the past decade, with research showing they are received positively by customers .

Customers already expect their telco to be fully informed about their service and situation and are becoming used to increasingly personalized responses to issues and enquiries.

The boom in video streaming services, video conferencing and gaming has brought the role of fixed-line networks rapidly back to prominence, with higher-than-ever expectations of service quality and customer care.

Legacy provisioning applications, such as early Auto Configuration Servers (ACS), can lead to support overhead, dead-end roadmaps and limited feature and upgrade options under certain circumstances.