Consumer Behaviour and Analytics: Data Driven Decision Making

Consumer Behaviour and Analytics

Data Driven Decision Making
 
Kiadás sorszáma: 1
Kiadó: Routledge
Megjelenés dátuma:
 
Normál ár:

Kiadói listaár:
GBP 135.00
Becsült forint ár:
65 205 Ft (62 100 Ft + 5% áfa)
Miért becsült?
 
Az Ön ára:

58 685 (55 890 Ft + 5% áfa )
Kedvezmény(ek): 10% (kb. 6 521 Ft)
A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
Kattintson ide a feliratkozáshoz
 
Beszerezhetőség:

Becsült beszerzési idő: Általában 3-5 hét.
A Prosperónál jelenleg nincsen raktáron.
Nem tudnak pontosabbat?
 
  példányt

 
 
 
 
A termék adatai:

ISBN13:9781138592643
ISBN10:1138592641
Kötéstípus:Keménykötés
Terjedelem:216 oldal
Méret:234x156 mm
Súly:560 g
Nyelv:angol
Illusztrációk: 79 Illustrations, black & white; 3 Halftones, black & white; 76 Line drawings, black & white; 23 Tables, black & white
149
Témakör:
Rövid leírás:

This volume provides a consumer behaviour textbook for the new marketing reality. In a world of Big Data, machine learning and AI, this text reviews the issues and concepts essential for navigating this new terrain. It demonstrates how we can use data driven insight and research in order to inform knowledge driven decision making.

Hosszú leírás:

Consumer Behaviour and Analytics provides a consumer behaviour textbook for the new marketing reality. In a world of Big Data, machine learning and AI, 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 adaptive structure to inform managerial decision making.


Consumer Behaviour and Analytics provides a unique distillation from a vast array of social and behavioural research merged with the knowledge potential of digital insight. It offers an effective and efficient summary for undergraduate, postgraduate or executive courses in consumer behaviour and marketing analytics or a supplementary text for other marketing modules.



"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 to 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-rounded and balanced understanding of contemporary consumer behaviour and analytics." ? Professor Andreas Chatzidakis, Royal Holloway University of London, UK

Tartalomjegyzék:

List of Figures.  List of Tables.  Preface.  Acknowledgements.  1. An Introduction to Consumer Analytics.  2. Purchase Insight and the Anatomy of Transactions.  3. Web & Social Media Activity.  4. Extant Research and Exogenous Cognition.  5. Elemental Features of Consumer Choice: Needs, Economics, Deliberation and Impulse.  6. Perceptual and Communicative Features of Consumer Choice.  7. Individual and Social Features of Consumption.  8. Knowledge Driven Marketing & the Modular Adaptive Dynamic Schematic.  Index