Description

Book Synopsis

The second edition of Consumer Behaviour and Analytics provides a consumer behaviour textbook for the new marketing reality. In a world of Big Data, machine learning and artificial intelligence, this key text reviews the issues, research and concepts essential for navigating this new terrain. It demonstrates how we can use data-driven insight and merge this with insight from extant research to inform knowledge-driven decision-making.

Adopting a practical and managerial lens, while also exploring the rich lineage of academic consumer research, this textbook approaches its subject from a refreshing and original standpoint. It contains numerous accessible examples, scenarios and exhibits, and condenses the disparate array of relevant work into a workable, coherent, synthesized and readable whole. Providing an effective tour of the concepts and ideas most relevant in the age of analytics-driven marketing (from data visualization to semiotics), the book concludes with an ada

Trade Review

'Consumer marketing is increasingly analytics driven, with data driven insight the core underpinning of many businesses. Consumer Behaviour and Analytics is a concise, inventive, original and accessible text that develops new approaches, concepts and structure to fit the new reality of analytics driven marketing. Linking new possibilities and approaches with existing academic consumer research, and grounded in examples and exhibits, this book is a ground-breaking and informative volume.'– Leigh Sparks, Professor of Retail Studies and Deputy Principal, University of Stirling, Scotland

'The effects of Big Data, machine learning and AI on the terrain of marketing and consumer research have been seismic. Smith’s book provides a timely and concise review of this new landscape by demystifying analytics-driven concepts and methods whilst cross-referencing with more traditional fields of consumer knowledge. The book inventively integrates old and new concepts into a framework that will appeal to marketing practitioners and students alike. An absolutely essential read for anyone interested in a well-balanced understanding of contemporary consumer behaviour and analytics.' - Professor Andreas Chatzidakis, Royal Holloway, University of London, UK



Table of Contents

List of figures

List of tables

Preface

Acknowledgements

Chapter 1 An introduction to consumer analytics

Chapter 2 Purchase insight and the anatomy of transactions

Chapter 3 Web and social activity

Chapter 4 Extant research, decision-making and exogenous cognition

Chapter 5 Elemental features of consumer choice: needs, economics, deliberation and impulse.

Chapter 6 Perceptual and communicative features of consumer choice

Chapter 7 Individual and social features of consumption

Chapter 8 Knowledge-driven marketing and the Modular Adaptive Dynamic Schematic

Index

Consumer Behaviour and Analytics

    Product form

    £39.99

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    Order before 4pm today for delivery by Mon 8 Jun 2026.

    A Paperback by Andrew Smith

    1 in stock


      View other formats and editions of Consumer Behaviour and Analytics by Andrew Smith

      Publisher: Taylor & Francis Ltd
      Publication Date: 11/8/2023 12:00:00 AM
      ISBN13: 9781032388342, 978-1032388342
      ISBN10: 103238834X

      Description

      Book Synopsis

      The second edition of Consumer Behaviour and Analytics provides a consumer behaviour textbook for the new marketing reality. In a world of Big Data, machine learning and artificial intelligence, this key text reviews the issues, research and concepts essential for navigating this new terrain. It demonstrates how we can use data-driven insight and merge this with insight from extant research to inform knowledge-driven decision-making.

      Adopting a practical and managerial lens, while also exploring the rich lineage of academic consumer research, this textbook approaches its subject from a refreshing and original standpoint. It contains numerous accessible examples, scenarios and exhibits, and condenses the disparate array of relevant work into a workable, coherent, synthesized and readable whole. Providing an effective tour of the concepts and ideas most relevant in the age of analytics-driven marketing (from data visualization to semiotics), the book concludes with an ada

      Trade Review

      'Consumer marketing is increasingly analytics driven, with data driven insight the core underpinning of many businesses. Consumer Behaviour and Analytics is a concise, inventive, original and accessible text that develops new approaches, concepts and structure to fit the new reality of analytics driven marketing. Linking new possibilities and approaches with existing academic consumer research, and grounded in examples and exhibits, this book is a ground-breaking and informative volume.'– Leigh Sparks, Professor of Retail Studies and Deputy Principal, University of Stirling, Scotland

      'The effects of Big Data, machine learning and AI on the terrain of marketing and consumer research have been seismic. Smith’s book provides a timely and concise review of this new landscape by demystifying analytics-driven concepts and methods whilst cross-referencing with more traditional fields of consumer knowledge. The book inventively integrates old and new concepts into a framework that will appeal to marketing practitioners and students alike. An absolutely essential read for anyone interested in a well-balanced understanding of contemporary consumer behaviour and analytics.' - Professor Andreas Chatzidakis, Royal Holloway, University of London, UK



      Table of Contents

      List of figures

      List of tables

      Preface

      Acknowledgements

      Chapter 1 An introduction to consumer analytics

      Chapter 2 Purchase insight and the anatomy of transactions

      Chapter 3 Web and social activity

      Chapter 4 Extant research, decision-making and exogenous cognition

      Chapter 5 Elemental features of consumer choice: needs, economics, deliberation and impulse.

      Chapter 6 Perceptual and communicative features of consumer choice

      Chapter 7 Individual and social features of consumption

      Chapter 8 Knowledge-driven marketing and the Modular Adaptive Dynamic Schematic

      Index

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