Marketing Science

I am writing a book named ‘Introduction to Marketing Science’. It would be two version, which are essential version (exclude Code and Math) for KDP (Kindle Direct Publishing) and full version for PDF (which would be included in Python Code for Data Science applications).

Or You can see MBA style marketing in the article, titled Marketing Plan for John Lewis.

Purpose

Literally textbook style of marketing science introduction, which is inspired by Grigsby (2018), who said marketing insight must be induced to marketing actions.

For What

Marketing can be art and science, however, marketing science is only science, which is based on data. Then as for marketers, it might be hard to understand. This book fills the gap between marketer and data scientist using figures (Data visualization technique).

Target Audience

  • Data Scientists who are interested in Marketing
  • Marketers and Brand Managers who are interested in Data Science

Table of Contents

  1. Overview (Introduction)
  2. Qualitative Marketing (Kotler school)
  3. Quantitative Marketing (Ehrenberg-Bass school)
  4. Digital Marketing (Data Driven Marketing)
  5. Data science applications (Business Analytics)
  6. Summary (Conclusion)

Cover Page

This picture would be cover page.

Figure 1

Get the PDF Book

If you are interested in my book of PDF version, please notice me using below form. After wrote the book, I will inform you using the email which you submited below form.

Schedule

This is a plan to write with Trello.

Trello Board

Reference

  • Beverland, M., 2018. Brand Management
  • CHAVEZ, T., O’HARA, C. and VAIDYA, V., 2019. Data Driven: HARNESSING DATA AND AI TO REINVENT CUSTOMER ENGAGEMENT
  • Chaffey, D. and Smith, P., 2017. Digital Marketing Excellence, Fifth Edition
  • EHRENBERG, A.S.C., 1988. Repeat-buying: facts, theory and applications, New Edition
  • Grewal, D. and Levy, M., 2019, m: marketing, Sixth Edition
  • Grigsby, M., 2018. Marketing analytics, 2nd edition
  • Jeffery, M., 2010. Data-Driven Marketing: The 15 Metrics Everyone in Marketing Should Know
  • Katsov, I., 2018. Introduction to Algorithmic Marketing
  • Kartajaya, H., Setiawan, I. and Kotler, P., 2021. Marketing 5.0: Technology for Humanity
  • Keller, K.L., 2013. Strategic Brand Management
  • Kotler, P. and Keller, K.L., 2015, Marketing Management, Global Edition
  • Morioka, T. and Imanishi, S., 2016. Probability Theory for Marketing (In Japanese)
  • Sharp, B., 2010. How Brands Grow
  • Sharp, B. and Romaniuk, J., 2016. How Brands Grow Part 2
  • WIRTH, K. and SWEET, K., 2017. One-to-One Personalization in the Age of Machine Learning: Harnessing Data to Power Great Customer Experiences