Integrating Machine Learning Models into Strategic Marketing Decision-Making Processes

Abstract

Machine learning (ML) models have transformed a variety of industries, and marketing is no exception. This paper explores the integration of ML models into strategic marketing decision-making processes, with a focus on enhancing marketing efficiency, customer targeting, and overall business performance. The paper reviews the current literature on ML in marketing, outlines methodologies for implementing these models, and analyzes the results of adopting ML in strategic decision-making. By examining case studies and theoretical approaches, the paper emphasizes the benefits and challenges of integrating ML models into marketing strategies. The findings indicate that, when implemented properly, ML can significantly enhance decision-making processes, leading to improved targeting, personalization, and customer satisfaction.