A Study on Predictive Analytics in Marketing

Abstract

The analytic in trading data-driven approach that uses historical data to predict marketing trends and scenarios. It can help marketers create more effective marketing strategies and make better decisions. This research aims to focus on the current usage of predictive analytic tools for engagement within the branch of digital marketing and evaluate the proficiency of marketers in utilizing predictive analytic. It seeks to identify the species digital marketing tools employed in Business-to-Business (B2B) contexts and explores strategies for enhancing brand awareness while transitioning towards optimizing after-sales services. Additionally, the study aims to assess the anticipated bents resulting from digital marketing effort and to develop methods for detecting and addressing fraudulent activities within digital marketing operations. Through these analyses, insights into the effectiveness and potential improvements in digital marketing strategies are sought.