Development of comprehensive web analytics implementation for banking customer behavior tracking

Posted: Jul 20, 2023

• Mason Sanchez
• Mason Scott
• Mateo Brown

Abstract

This research presents a novel framework for comprehensive web analytics implementation specifically designed for banking institutions to track and analyze customer behavior across digital channels. Traditional web analytics approaches in banking have primarily focused on basic metrics such as page views and session duration, failing to capture the complex, multi-faceted nature of financial customer journeys. Our methodology integrates behavioral biometrics, transaction context analysis, and real-time intent detection to create a holistic view of customer interactions. The implementation incorporates privacy-preserving federated learning techniques inspired by recent advances in secure multi-party computation, ensuring compliance with stringent financial regulations while enabling meaningful behavioral insights. We developed a proprietary algorithm that dynamically adjusts tracking granularity based on customer sensitivity levels and regulatory requirements. The system was validated through a six-month deployment across three major banking institutions, demonstrating a 47