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Needs-Based Market Segmentation Strategies: How to Forecast Competitive Positions (and Make Millions)

Needs-Based Market Segmentation Strategies: How to Forecast Competitive Positions (and Make Millions)

          
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About the Book

Wouldn't it be great if you had a tool for accurately predicting businesses' future successes or failures and winners or losers based on something other than historical facts and figures about those businesses?...

Written by a leading business school professor, this book presents business executives, investors, students, educators, and others with that tool! "Market Segmentation" is the division of businesses' potential customers into groups based on a wide range of characteristics, including demographics, income and education levels, interests, and more. And "Needs-Based Market Segmentation," as presented in this book, is an innovative form of market segmentation that allows accurate forecasts of businesses' future competitive performance (successes and failures, winners and losers) by measuring today's consumer and business needs.

This book is the result of requests from students and business executives to have a document that summarizes material the author, Professor James R. Taylor, presented in MBA classes and executive education programs during his over forty-year teaching and research career at the University of Michigan's famed Ross School of Business. The book is cleverly written as a recounting of the real-life progression of a business school student named Bob as he learned about the Needs-Based Market Segmentation process in school and then used that process to make millions in the stock market and retire early. Are you the next Bob? Read and find out.


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Product Details
  • ISBN-13: 9781734034486
  • Publisher: Van Rye Publishing, LLC
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: How to Forecast Competitive Positions (and Make Millions)
  • Width: 140 mm
  • ISBN-10: 1734034483
  • Publisher Date: 06 Dec 2021
  • Height: 216 mm
  • No of Pages: 158
  • Spine Width: 9 mm
  • Weight: 190 gr


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