Case Study: Aktif Bank Improves Customer Retention and Loan Risk Scoring with B2Metric

How AI-powered analytics transformed fintech marketing strategies, improving customer retention and engagement

Aktif Bank, a leading financial institution in Turkey with a vast fintech ecosystem, faced significant challenges in analyzing its extensive customer data to make informed decisions. The complexity of big banking data made predictive analytics for customer behavior and financial trends particularly difficult. To address this, the bank turned to B2Metric and its B2Metric IQ Customer Journey predictive analytics solution to streamline this process and gain accurate insights.

B2Metric implemented its advanced predictive analytics platform, which utilized high-reliability machine learning models and adaptive learning for continuous improvement. The solution provided Aktif Bank with actionable insights, including micro customer segments for marketing optimization and an improved Non-Performing Loan (NPL) scoring model for risk mitigation. As a result, B2Metric helped the bank achieve a 36% increase in user retention through proactive churn prediction measures and optimized its loan approval process for better resource allocation.

Aktif Bank

Yaşar Sungur

Head of CRM