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  • Open Access
  • © 2018

Market Segmentation Analysis

Understanding It, Doing It, and Making It Useful

  • Incorporates both methodological/technical issues and organisational/user/managerial aspects of market segmentation
  • Provides R code that allows the reader to replicate all the calculations discussed
  • Offers checklists that guide readers through every step and every decision to be made when conducting market segmentation analysis
  • Includes a wide range of different segmentation algorithms and discusses aspects of market segmentation analysis not covered elsewhere

Part of the book series: Management for Professionals (MANAGPROF)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xxi
  2. Introduction

    1. Front Matter

      Pages 1-1
    2. Market Segmentation

      • Sara Dolnicar, Bettina Grün, Friedrich Leisch
      Pages 3-9Open Access
    3. Market Segmentation Analysis

      • Sara Dolnicar, Bettina Grün, Friedrich Leisch
      Pages 11-22Open Access
  3. Ten Steps of Market Segmentation Analysis

    1. Front Matter

      Pages 23-23
    2. Step 1: Deciding (not) to Segment

      • Sara Dolnicar, Bettina Grün, Friedrich Leisch
      Pages 25-29Open Access
    3. Step 2: Specifying the Ideal Target Segment

      • Sara Dolnicar, Bettina Grün, Friedrich Leisch
      Pages 31-37Open Access
    4. Step 3: Collecting Data

      • Sara Dolnicar, Bettina Grün, Friedrich Leisch
      Pages 39-55Open Access
    5. Step 4: Exploring Data

      • Sara Dolnicar, Bettina Grün, Friedrich Leisch
      Pages 57-73Open Access
    6. Step 5: Extracting Segments

      • Sara Dolnicar, Bettina Grün, Friedrich Leisch
      Pages 75-181Open Access
    7. Step 6: Profiling Segments

      • Sara Dolnicar, Bettina Grün, Friedrich Leisch
      Pages 183-197Open Access
    8. Step 7: Describing Segments

      • Sara Dolnicar, Bettina Grün, Friedrich Leisch
      Pages 199-236Open Access
    9. Step 8: Selecting the Target Segment(s)

      • Sara Dolnicar, Bettina Grün, Friedrich Leisch
      Pages 237-243Open Access
    10. Step 9: Customising the Marketing Mix

      • Sara Dolnicar, Bettina Grün, Friedrich Leisch
      Pages 245-254Open Access
    11. Step 10: Evaluation and Monitoring

      • Sara Dolnicar, Bettina Grün, Friedrich Leisch
      Pages 255-267Open Access
  4. Back Matter

    Pages 269-324

About this book

This book is published open access under a CC BY 4.0 license.

This open access book offers something for everyone working with market segmentation: practical guidance for users of market segmentation solutions; organisational guidance on implementation issues; guidance for market researchers in charge of collecting suitable data; and guidance for data analysts with respect to the technical and statistical aspects of market segmentation analysis. Even market segmentation experts will find something new, including an approach to exploring data structure and choosing a suitable number of market segments, and a vast array of useful visualisation techniques that make interpretation of market segments and selection of target segments easier.

The book talks the reader through every single step, every single potential pitfall, and every single decision that needs to be made to ensure market segmentation analysis is conducted as well as possible. All calculations are accompanied not only with a detailed explanation, but also with R code that allows readers to replicate any aspect of what is being covered in the book using R, the open-source environment for statistical computing and graphics.


Authors and Affiliations

  • The University of Queensland, Brisbane, Australia

    Sara Dolnicar

  • Johannes Kepler Universität Linz, Linz, Austria

    Bettina Grün

  • Universität für Bodenkultur Wien, Vienna, Austria

    Friedrich Leisch

About the authors

Sara Dolnicar is Professor at The University of Queensland, Brisbane, Australia. Her core research interests are the improvement of market segmentation methodology and the testing and refinement of measures used in social science research. Because her key research interests are not tied to any particular application area, she has contributed to a range of different applied research areas, including sustainable tourism and tourism marketing, environmental volunteering, foster caring, and public acceptance of water alternatives and water conservation measures.


Friedrich Leisch is Professor at the University of Natural Resources and Life Sciences, Vienna, Austria. His research interests lie in statistical computing, multivariate statistics, cluster analysis, mixture models, generalized regression, biostatistics; software development, and statistical applications in life and business sciences.


Bettina Grün is Associate Professor at Johannes Kepler University, Linz, Austria. Her research focuses on mixture models, statistical computing with R, market segmentation methods, and statistical applications in tourism and marketing.   

Bibliographic Information

Buy it now

Buying options

Softcover Book USD 59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 59.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access