Development and implementation of a behavioral data-driven content generation system

Abstract

This research develops an innovative interactive platform that generates personalised advertising content by analysing user behavioral data. The study addresses critical challenges in advertising technology by creating an integrated system that bridges the gap between data collection and effective personalisation implementation. Using a combination of advanced data analytics and real-time content generation algorithms, the platform significantly improves engagement metrics (37% increase) and conversion rates (23% increase) while enhancing privacy perception scores by 18%. The findings advance the theoretical understanding of behavioral data utilisation and provide practical frameworks for implementing privacy-compliant, effective advertising personalisation that responds dynamically to user behavior patterns.​