Data-Driven Marketing in the Digital Era Evaluating Consumer Response to Targeted Ads in Cyber City

Abstract

Big Data Analytics (BDA) has changed the landscape of online advertising at a fundamental level, making it possible to practice sophisticated targeting, content delivery at an individual level, and decision-making through evidence. This study carries out a comprehensive analysis of the pivotal role of BDA in influencing consumer engagement and purchase intention in Cyber City, particularly a successful digital space characterized by high technological adoption rates. Employing a multi-faceted methodology, the study analyzes in-depth consumer behavior patterns, click stream data and sentimental measures collected from corporate website. The analysis tries to elucidate how the advertisers can optimize placements even better and need to personalize content with caution to exact audience segments to enhance campaign efficiency.   Specifically, the study delves into how predictive analytics, advanced machine learning models (e.g., reinforcement learning, deep learning), and real-time processing approaches are applied to understand and influence consumer behavior and purchase decisions.