Case Study: Aktif Bank improves churn prediction and loan risk management with B2Metric

Aktif Bank boosts user retention by 36% with B2Metric

Aktif Bank faced the challenge of analyzing its vast and complex customer data to improve predictive analytics, enhance decision-making, and optimize its marketing and risk management processes. To navigate these inherent difficulties in big banking data, the bank opted for a solution from B2Metric, specifically employing the B2Metric IQ Customer Journey predictive analytics platform.

B2Metric implemented advanced machine learning models that provided high-reliability validations and adaptive learning for continuous improvement. The solution enabled Aktif Bank to create micro customer segments for targeted marketing, improve its Non-Performing Loan scoring for risk mitigation, and use churn prediction to proactively increase user retention by 36%. Furthermore, B2Metric's platform optimized the bank's loan approval process and significantly enhanced the efficiency of its marketing budget.

Aktif Bank