Case Study: De Persgroep predicts customer behavior with 92% accuracy and reduces subscriber churn with Oracle Big Data Appliance

De Persgroep Predicts Customer Behavior With 92% Accuracy, Uses Big Data to Reduce Subscriber Churn

De Persgroep, a leading multimedia publisher in the Netherlands, Denmark and Belgium (17 newspapers, 35+ magazines, TV/radio stakes and digital properties drawing six million daily unique visitors), faced declining print revenues and a rapid shift to digital. The company needed a 360‑degree view of customers—integrating content consumption, payment and contact data—to measure behavior accurately, reduce subscriber churn, improve targeting and demonstrate rapid, cost‑efficient time‑to‑value for a big data initiative.

De Persgroep deployed Oracle Big Data Appliance with NGDATA’s Lily Enterprise to integrate and analyze multiple data sources. The solution launched in three months, enabled personalized offers and a true customer view, and drove a 92% accuracy in subscription churn prediction, a sixfold improvement in prospecting performance across 17 million contacts, a reduced churn rate, and a >20% widening of its market lead — while avoiding the cost and complexity of building an in‑house Hadoop cluster.

De Persgroep

Luc Verbist

Chief Information Officer