Marketing Analytics
eBook - ePub

Marketing Analytics

A Practical Guide to Improving Consumer Insights Using Data Techniques

  1. 336 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Marketing Analytics

A Practical Guide to Improving Consumer Insights Using Data Techniques

About this book

Who is most likely to buy and what is the best way to target them? How can I use both consumer analytics and modelling to improve the impact of marketing campaigns? Marketing Analytics takes you step-by-step through these areas and more. Marketing Analytics enables you to leverage predictive techniques to measure and improve marketing performance. By exploring real-world marketing challenges, it provides clear, jargon-free explanations on how to apply different analytical models for each purpose. From targeted list creation and data segmentation, to testing campaign effectiveness, pricing structures and forecasting demand, it offers a complete resource for how statistics, consumer analytics and modelling can be put to optimal use. This revised and updated third edition of Marketing Analytics contains new material on forecasting, customer touchpoints modelling, and a new focus on customer loyalty. With accessible language throughout, methodologies are simplified to ensure the more complex aspects of data and analytics are fully accessible for any level of application. Supported by a glossary of key terms and supporting resources consisting of datasets, presentation slides for each chapter and a test bank of self-test question, this book supplies a concrete foundation for optimizing marketing analytics for day-to-day business advantage.

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Yes, you can access Marketing Analytics by Mike Grigsby in PDF and/or ePUB format, as well as other popular books in Business & Consumer Behaviour. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Kogan Page
Year
2022
Print ISBN
9781398608191
eBook ISBN
9781398608207
Edition
3

Table of contents

  1. Introduction
  2. Part One How can marketing analytics help you?
  3. 1 Overview of statistics
  4. 2 Consumer behaviour and marketing strategy
  5. 3 What is an insight?
  6. Part Two Dependent variable techniques
  7. 4 Modelling demand and elasticity
  8. 5 Polynomial distributed lags
  9. 6 Using Poisson regression
  10. 7 Logistic regression and market basket analysis
  11. 8 Survival modelling and lifetime value
  12. 9 Panel regression and same store sales
  13. 10 Introduction to forecasting
  14. Part Three Interrelationship techniques
  15. 11 Simultaneous equations
  16. 12 Principal components and factor analysis
  17. 13 Segmentation overview
  18. 14 Tools of segmentation
  19. Part Four Focus on media and loyalty
  20. 15 Modelling marcom value
  21. 16 Media mix modelling
  22. 17 Overview of loyalty
  23. 18 Loyalty with SEM
  24. 19 The customer loyalty journey
  25. Part Five More important topics for everyday marketing
  26. 20 Statistical testing
  27. 21 Introduction to Big Data
  28. Conclusion: The finale
  29. References
  30. Further reading
  31. Index