How Millennium bcp Uses BigQuery ML to Boost Loan Conversion Rates
Millennium bcp, Portugal's largest private bank, used Google Cloud's BigQuery machine learning tools to build predictive audience models for personal loan campaigns. By segmenting existing customers by propensity to borrow, the bank dramatically improved both owned and paid media performance. The result was a 2.6x higher conversion rate and a 36% drop in cost per acquisition.
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Challenge
Millennium bcp's reliance on in-branch processes for personal loan applications limited scalability and failed to meet modern customer expectations. The bank needed a way to digitally target only eligible existing customers with personalized loan offers at scale.
Solution
The bank's in-house digital marketing team built BigQuery ML-powered predictive models to segment existing customers by loan propensity, then activated those audiences across owned and paid channels via Google Analytics 4, Firebase, and Display & Video 360.
Full Story
Millennium bcp, Portugal's largest private bank by business volume, had long relied on physical branch visits for personal loan applications — a model that constrained scalability and failed to meet the expectations of increasingly digital-first customers. Clients were required to visit in person during limited hours and endure slow, manual processes. By 2023, the bank set an ambitious goal: meaningfully grow digital sales of personal loans while ensuring outreach was limited to existing customers, the only segment eligible to complete the digital loan journey.
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