Churn Management for Energy Suppliers

Challenge

In a market where switching providers takes just a few clicks, customer retention has become the single biggest revenue lever for energy suppliers. A medium-sized German municipal utility was losing customers at an alarming rate — yet had no reliable way to identify who would leave next. Expensive sociodemographic profiling had failed to move the needle, and the data needed for smarter approaches was trapped in dozens of siloed systems and suffered from serious quality gaps.

Approach

STAT-UP consolidated three years worth of customer data — nearly 500,000 records spread across dozens of systems — into a single, clean database. The analysis uncovered the real drivers of churn: younger customers, those on basic service plans, and recent complainants were significantly more likely to leave. STAT-UP combined three complementary analytical methods into one predictive churn score per customer. To turn insight into action, customers were segmented into four actionable profiles — Traditional, Loyal, Price-Sensitive, and Environmentally Conscious — each with tailored retention strategies.

Impact

The model flagged 60,000 customers as high-risk — and the results spoke for themselves: targeted campaigns based on the new scoring doubled their effectiveness compared to untargeted outreach. Long-held assumptions, such as the value of expensive target group profiles, were disproved, allowing budgets to be allocated more effectively. A purpose-built churn management app now lets the utility’s team run the analysis independently on an ongoing basis. Beyond the immediate wins, the project established a better data foundation and a roadmap for building in-house analytics capabilities.