Case Study: Starz achieves improved churn prediction and data pipeline modernization with AgileEngine

Starz boosts churn prediction to 95% accuracy with AgileEngine

Starz, a premium US television network, faced challenges with its data engineering workflows and sought to explore AI-driven marketing technology. They partnered with AgileEngine to modernize their data pipelines and develop a proof-of-concept for churn prediction.

AgileEngine's Data Studio team modernized Starz's data pipelines by introducing automation, version control, and a standardized process, which streamlined engineering workflows and improved reliability. Their AI Studio team developed a churn prediction PoC using gradient boosting, which demonstrated a 95% projected accuracy and the potential for significant cost savings through improved subscriber retention. This solution from AgileEngine enabled Starz to move beyond traditional methods with a data-driven approach.

Starz