churn-data-pipeline/ ├── data/ # Data files (CSV datasets) ├── sql/ # SQL queries │ ├── create_schema.sql # Database schema creation │ ├── events_per_account.sql │ └── events_per_day.sql ├── src/ # ...

Churn is more than outright defection; it can also include silent attrition, where customers remain nominally active but reduce engagement, spending, or product adoption. High churn rates erode ...

In sum – what to know: Subscriber growth surges: T-Mobile added a record 2.35 million postpaid customers in Q3 2025 — including 1 million postpaid phone lines — cementing its lead in U.S. wireless ...

Qlik announced the rapid adoption of Qlik Predict, a no-code predictive analytics platform designed for business users. The solution, announced Oct. 1, aims to transform how organizations leverage ...

Forbes contributors publish independent expert analyses and insights. Dan Gingiss covers news impacting your customers and employees. Customer trust is the foundation of almost any business ...

The report highlights that a significant percentage of churn can be attributed to product-market fit issues or a failure of the product to meet customer expectations. No amount of proactive CS ...

Advanced Churn Prediction engine enables brands to identify at-risk customers and deliver personalized marketing, moving from reactive retention to proactive relationship building. SAN ANTONIO, Sept.

Most leaders try to solve retention and churn by diving deeper into the data. But numbers alone won’t give you the answers. You must get out of the office and into conversations with your customers to ...

Customer retention is a critical challenge for telecom companies, and understanding customer churn can significantly improve business strategies. This paper focuses on developing an accurate ...

Hello, I was exploring this repository and found the R implementation of customer churn analysis very informative. However, considering that many data scientists and analysts prefer Python for machine ...