Sustainable Marketing Analytics: Data-Driven Strategies For Responsible And Competitive Markets

The current marketplace is undergoing a drastic transformation shaped by digitalization, environmental consciousness, ethical governance, and rapidly evolving consumer expectations. In this changing business landscape, organizations are no longer evaluated solely on profitability and market share, but they are increasingly judged by their commitment to sustainability, transparency, and social responsibility. Simultaneously, the rise of big data, artificial intelligence, predictive modeling, and advanced analytics has revolutionized the way marketing decisions are conceived and executed. Against this backdrop, Sustainable Marketing Analytics: Data-Driven Strategies for Responsible and Competitive Markets emerges as a timely and significant contribution to academic scholarship and managerial practice. This edited volume seeks to bridge the important intersection between sustainability and marketing analytics. Traditionally, marketing analytics has focused on optimizing customer acquisition, retention, pricing, and profitability.

Today’s organizations must harness analytical tools not only to drive competitive advantage but also to foster responsible consumption, sustainable value creation, and inclusive growth.

The chapters included in this book present a comprehensive exploration of how data-driven insights can support sustainable marketing strategies across industries and geographies. The contributors comprising academicians and researchers offer diverse perspectives on themes such as consumer behavior analytics, green branding, sustainable supply chains, digital marketing intelligence, FinTech, ESG metrics, social media analytics, customer engagement and ethical data governance. Collectively, these contributions demonstrate that sustainability and profitability are not opposing objectives but mutually reinforcing dimensions of modern business strategy. This book aims to provide readers with both conceptual clarity and actionable insights. It is our hope that the discussions presented here will encourage organizations to adopt analytical approaches that prioritize not only efficiency and growth but also environmental stewardship and social well-being.  The completion of this volume has been possible through the dedication and intellectual contributions of many individuals. We express our sincere gratitude to all chapter authors for their scholarly commitment, valuable insights, and patience throughout the editorial process. We also acknowledge the reviewers whose constructive suggestions helped enhance the academic rigor and quality of the chapters. Our appreciation extends to the publishing team for their constant support and professionalism in bringing this project to fruition. As editors, we hope this book will contribute meaningfully to ongoing conversations surrounding responsible markets and data-driven decision-making. We trust that this volume will serve as a valuable resource and a catalyst for innovation in both academia and industry