Amazon cover image
Image from Amazon.com
Image from Google Jackets

Marketing analytics [electronic resource] : a practical guide to real marketing science/ Grigsby, Mike.

By: Material type: TextTextLanguage: English Publication details: Kogan Page Ltd., 2015.Description: 249 pISBN:
  • 0749474181;
  • 9780749474171;
  • 9780749474188
Subject(s): Call number: Ebook Online resources:
Contents:
Chapter, Lesson, Part Part One: Overview.
Chapter, Lesson, Part 01. A (little) statistical review.
Chapter, Lesson, Part 02. Brief principles of consumer behaviour and marketing strategy.
Chapter, Lesson, Part Part Two: Dependent variable techniques.
Chapter, Lesson, Part 03. Modelling dependent variable techniques (with one equation): what are the things that drive demand?.
Chapter, Lesson, Part 04. Who is most likely to buy and how do I target?.
Chapter, Lesson, Part 05. When are my customers most likely to buy?.
Chapter, Lesson, Part 06. Modelling dependent variable techniques (with more than one equation).
Chapter, Lesson, Part Part Three: Inter-relationship techniques.
Chapter, Lesson, Part 07. Modelling inter-relationship techniques.
Chapter, Lesson, Part 08. Segmentation: tools and techniques.
Chapter, Lesson, Part Part Four: Other.
Chapter, Lesson, Part 09. Marketing research.
Chapter, Lesson, Part 10. Statistical testing.
Chapter, Lesson, Part Part Five: Capstone.
Chapter, Lesson, Part 11. Capstone: focusing on digital analytics.
Chapter, Lesson, Part Part Six: Conclusion.
Chapter, Lesson, Part 12. The finale: what should you take away from this? Any other stories/soap box rants?.
Cover, Title,Marketing analytics : a practical guide to real marketing science--Preface, Introduction, TOC,Contents--Preface, Introduction, TOC,Foreword--Preface, Introduction, TOC,Preface--Preface, Introduction, TOC,Introduction--References, Appendix, Index,Glossary--References, Appendix, Index,Bibliography and further reading--References, Appendix, Index,Index.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Chapter, Lesson, Part Part One: Overview.

Chapter, Lesson, Part 01. A (little) statistical review.

Chapter, Lesson, Part 02. Brief principles of consumer behaviour and marketing strategy.

Chapter, Lesson, Part Part Two: Dependent variable techniques.

Chapter, Lesson, Part 03. Modelling dependent variable techniques (with one equation): what are the things that drive demand?.

Chapter, Lesson, Part 04. Who is most likely to buy and how do I target?.

Chapter, Lesson, Part 05. When are my customers most likely to buy?.

Chapter, Lesson, Part 06. Modelling dependent variable techniques (with more than one equation).

Chapter, Lesson, Part Part Three: Inter-relationship techniques.

Chapter, Lesson, Part 07. Modelling inter-relationship techniques.

Chapter, Lesson, Part 08. Segmentation: tools and techniques.

Chapter, Lesson, Part Part Four: Other.

Chapter, Lesson, Part 09. Marketing research.

Chapter, Lesson, Part 10. Statistical testing.

Chapter, Lesson, Part Part Five: Capstone.

Chapter, Lesson, Part 11. Capstone: focusing on digital analytics.

Chapter, Lesson, Part Part Six: Conclusion.

Chapter, Lesson, Part 12. The finale: what should you take away from this? Any other stories/soap box rants?.

Cover, Title,Marketing analytics : a practical guide to real marketing science--Preface, Introduction, TOC,Contents--Preface, Introduction, TOC,Foreword--Preface, Introduction, TOC,Preface--Preface, Introduction, TOC,Introduction--References, Appendix, Index,Glossary--References, Appendix, Index,Bibliography and further reading--References, Appendix, Index,Index.

There are no comments on this title.

to post a comment.
Office of Academic Resources and Information Technology

      38 Moo. 8, Nawung Sub-District, Muang Phetchaburi District, Phetchaburi 76000 Thailand

    Tel: (032) 708609 Fax: (032) 708656 Email: library_office@mail.pbru.ac.th