logo

Online Public Access Catalogue

Market segmentation analysis : understanding it, doing it, and making it useful / Sara Dolnicar.

By: Dolnicar, SaraMaterial type: TextTextLanguage: English Publisher: Singapore : Springer, 2018Description: xxi, 324 pages : illustrations ; 24 cmISBN: 9789811088179Subject(s): Marketing research | Market segmentationDDC classification: 658.83
Contents:
Part I. Introduction.- Chapter 1. Market segmentation.- Chapter 2. Market segmentation analysis.- Part II. Ten steps of market segmentation analysis.- Chapter 3. STEP 1: Deciding (not) to segment.- Chapter 4. STEP 2: Specifying the ideal target segment.- Chapter 5. STEP 3: Collecting data.- Chapter 6. STEP 4: Exploring data.- Chapter 7. STEP 5: Extracting segments.- Chapter 8. STEP 6: Profiling segments.- Chapter 9. STEP 7: Describing segments.- Chapter 10. STEP 8: Selecting (the) target segment(s).- Chapter 11. STEP 9: Customising the marketing mix.- Chapter 12. STEP 10: Evaluation and monitoring.
Summary: 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 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 decision that needs to be made to ensure markets 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.
List(s) this item appears in: New Arrivals - September 1st to 30th 2024
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Collection Call number Status Date due Barcode
Books Institute of Public Enterprise, Library
S Campus
658.83 DOL (Browse shelf) Available 48989
Books Institute of Public Enterprise, Library
S Campus
Reference 658.83 DOL (Browse shelf) Available (Restricted Access) 48990
Books Institute of Public Enterprise, Library
S Campus
658.83 DOL (Browse shelf) Available 48991

Part I. Introduction.-
Chapter 1. Market segmentation.-
Chapter 2. Market segmentation analysis.-
Part II. Ten steps of market segmentation analysis.-
Chapter 3. STEP 1: Deciding (not) to segment.-
Chapter 4. STEP 2: Specifying the ideal target segment.-
Chapter 5. STEP 3: Collecting data.-
Chapter 6. STEP 4: Exploring data.-
Chapter 7. STEP 5: Extracting segments.-
Chapter 8. STEP 6: Profiling segments.-
Chapter 9. STEP 7: Describing segments.-
Chapter 10. STEP 8: Selecting (the) target segment(s).-
Chapter 11. STEP 9: Customising the marketing mix.-
Chapter 12. STEP 10: Evaluation and monitoring.

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 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 decision that needs to be made to ensure markets 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.

There are no comments on this title.

to post a comment.