Marketing Analytics
eBook - ePub

Marketing Analytics

A Machine Learning Approach

  1. 350 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Marketing Analytics

A Machine Learning Approach

Book details
Table of contents
Citations

About This Book

With businesses becoming ever more competitive, marketing strategies need to be more precise and performance oriented. Companies are investing considerably in analytical infrastructure for marketing. This new volume, Marketing Analytics: A Machine Learning Approach, enlightens readers on the application of analytics in marketing and the process of analytics, providing a foundation on the concepts and algorithms of machine learning and statistics. The book simplifies analytics for businesses and explains its uses in different aspects of marketing in a way that even marketers with no prior analytics experience will find it easy to follow, giving them to tools to make better business decisions.

This volume gives a comprehensive overview of marketing analytics, incorporating machine learning methods of data analysis that automates analytical model building. The volume covers the important aspects of marketing analytics, including segmentation and targeting analysis, statistics for marketing, marketing metrics, consumer buying behavior, neuromarketing techniques for consumer analytics, new product development, forecasting sales and price, web and social media analytics, and much more.

This well-organized and straight-forward volume will be valuable for marketers, managers, decision makers, and research scholars, and faculty in business marketing and information technology and would also be suitable for classroom use.

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Yes, you can access Marketing Analytics by A. Mansurali, P. Mary Jeyanthi in PDF and/or ePUB format, as well as other popular books in Business & Marketing Research. We have over one million books available in our catalogue for you to explore.

Information

Year
2023
ISBN
9781000608908
Edition
1

Table of contents

  1. Cover Page
  2. Half Title Page
  3. Title Page
  4. Copyright Page
  5. About the Editors
  6. Contents
  7. Contributors
  8. Abbreviations
  9. Introduction
  10. Preface
  11. 1. Introduction to Marketing Analytics
  12. 2. Statistics for Marketing
  13. 3. Evolution of Data Analytics
  14. 4. Segmentation and Targeting Analysis
  15. 5. Important Marketing Metrics: A Snapshot
  16. 6. Consumer Buying Behavior
  17. 7. Understanding Consumer Behavior Using Market Basket Analysis
  18. 8. Neuromarketing Techniques for Consumer Analytics
  19. 9. New Product Development
  20. 10. Natural Language Processing for Branding
  21. 11. Forecasting Sales and Price
  22. 12. Sales Prediction and Conversion
  23. 13. Role of Supply Chain Analytics in Marketing Analytics
  24. 14. Web and Social Media Analytics
  25. 15. Marketing Analytics and Its Applications
  26. Index