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Marketing Analytics: Essential Tools for Data-Driven Decisions [Kietas viršelis]

4.67/5 (10 ratings by Goodreads)
  • Formatas: Hardback, 336 pages, aukštis x plotis x storis: 235x184x24 mm, weight: 743 g
  • Serija: Darden Business Series
  • Išleidimo metai: 30-Jan-2021
  • Leidėjas: University of Virginia Press
  • ISBN-10: 0813945151
  • ISBN-13: 9780813945156
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 336 pages, aukštis x plotis x storis: 235x184x24 mm, weight: 743 g
  • Serija: Darden Business Series
  • Išleidimo metai: 30-Jan-2021
  • Leidėjas: University of Virginia Press
  • ISBN-10: 0813945151
  • ISBN-13: 9780813945156
Kitos knygos pagal šią temą:

The authors of the pioneering Cutting-Edge Marketing Analytics return to the vital conversation of leveraging big data with Marketing Analytics: Essential Tools for Data-Driven Decisions, which updates and expands on the earlier book as we enter the 2020s. As they illustrate, big data analytics is the engine that drives marketing, providing a forward-looking, predictive perspective for marketing decision-making.

The book presents actual cases and data, giving readers invaluable real-world instruction. The cases show how to identify relevant data, choose the best analytics technique, and investigate the link between marketing plans and customer behavior. These actual scenarios shed light on the most pressing marketing questions, such as setting the optimal price for one’s product or designing effective digital marketing campaigns.

Big data is currently the most powerful resource to the marketing professional, and this book illustrates how to fully harness that power to effectively maximize marketing efforts.

Foreword vii
Introduction 1(7)
1 Resource Allocation
8(14)
2 Cluster Analysis
22(23)
3 Conjoint Analysis
45(22)
4 Linear Regression
67(33)
5 Customer Lifetime Value
100(23)
6 Marketing Experiments
123(26)
7 Paid Search Advertising
149(26)
8 Text Analytics
175(19)
9 Logistic Regression
194(15)
10 Recommendation Systems
209(23)
11 Automation of Marketing Models
232(14)
12 Implementing Marketing Analytics
246(11)
Acknowledgments 257(2)
Notes 259(10)
Further Resources 269(4)
Index 273
Rajkumar Venkatesan is Ronald Trzcinski Professor of Business Administration at Darden Business School, University of Virginia.