AI Powered Insight

Marketing Research Reconfigured
1. Auflage 2026
ISBN: 978-1-041-02428-6
Verlag: Taylor & Francis Ltd

Buch, Englisch, 190 Seiten, Format (B × H): 152 mm x 229 mm

In our hyper-connected world where every interaction generates valuable data, artificial intelligence (AI) is having a profound impact on marketing, marketing research, and customer data analytics.

This book sheds light on the untapped potential of AI-driven analytics in market research, so that businesses can better understand and interact with their customers. The transformation of marketing and market research over recent decades has only accelerated thanks to breathtaking AI developments that are reshaping data analytics and insights generation, while enabling more effective foresight and actionability.

These technologies are moving the field beyond solicited customer opinion, traditionally gathered through surveys and focus groups, allowing marketers to leverage unstructured big data for a whole new type of customer feedback: the unsolicited opinion. Acting as a guide to what’s possible, the book explores the redefinition of insight in the age of AI and stresses the need for every true insight to inspire action. It dives into techniques for analysis and the AI science behind the analytics, automated brand recommendations and content creation, introducing AI-specific research and data analysis tools. The birth of synthetic data is discussed, with advantages including privacy compliance, cost-effectiveness, and the ability to generate diverse datasets on demand. The book also covers critical ethical issues such as data privacy, algorithmic bias, transparency, and the potential for AI to be used manipulatively, and raises important questions around knowledge, creativity, and the future of the field of marketing research.

This book’s clear-eyed guidance and thoughtful reflections will benefit anyone involved in marketing, market research, digital advertising and business strategy, including CX practitioners, business leaders tasked with delivering growth, data scientists, marketing agency executives and consultants, and advanced business and marketing students.

Zielgruppe

Adult education, Postgraduate, and Professional Practice & Development

Autoren/Hrsg.

Michael, Michalis A.

Rossides, Nicos

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmensethik
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Marketing
• Wirtschaftswissenschaften Betriebswirtschaft Marktforschung
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Verhaltensökonomik

Inhaltsverzeichnis

Acknowledgements. Foreword. Prologue. Chapter 1. The Evolution of Marketing Research. Chapter 2. The Data – The Raw Material of Insight. Chapter 3. The Underlying Science. Chapter 4. The Customer Opinion Paradox. Chapter 5. Going Downstream. Chapter 6. Beyond Insights - From Understanding to Action. Chapter 7. The Jobs – From Analysts to Synthesizers. Chapter 8. Algorithmic Empathy – From Conversations to Personalizations. Chapter 9. From Predictive Analytics to Generative Foresight. Chapter 10. Beyond Prediction - Exploring Multiple Strategic Options. Chapter 11. Ethical Imperatives in AI-Driven Market Research. Chapter 12. The Future - Marketing Research in an AI-Driven World. Epilogue

Über Autor(innen)

Michalis A. Michael is the founder and CEO of listening247 by DigitalMR, a London-based tech company specializing in AI for unstructured data analytics, research, and Digital Ad creation.

Nicos Rossides is an accomplished CEO, startup mentor, and professor of management. A Mombusho and Fulbright scholar, he earned his doctorate in engineering from Kyoto University and is a graduate of MIT Sloan School’s Program for Senior Executives.