Market Segmentation Analysis: Understanding It, Doing It, and Making It Useful
Materialtyp:
ArtikelUtgivningsinformation: Springer [Imprint] 2018Innehållstyp: - text
- computer
- online resource
- 978-981-10-8817-9
- Economics, Finance, Business and Management
- Business and Management
- Management and management techniques
- Management of specific areas
- Sales and marketing management
- Business and Management
- Cluster Analysis
- Clusteranalyse
- Computational Statistics
- Computationale Statistik
- Data Structure Analysis
- Datenstrukturanalyse
- Descriptive Analysis
- Deskriptive Analyse
- Factor Analysis
- Faktorenanalyse
- Finance
- K Economics
- KJ Business and Management
- KJM Management and management techniques
- KJMV Management of specific areas
- KJMV7 Sales and marketing management
- Market Research
- Market Segmentation
- Marketing
- Marketing Mix
- Marketing Planning
- Marketing Planung
- Marktforschung
- Marktsegmentierung
- Open Access
- Software development
- Softwareentwicklung
- Statistics
- Statistik
- Strategic Marketing
- Strategisches Marketing
- Tactical Marketing
- Taktisches Marketing
- Target Market
- Tourism Marketing
- Tourism research
- Tourismusforschung
- Tourismusmarketing
- thema EDItEUR
- ÖFOS 2012
Open Access Unrestricted online access star
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 a vast array of useful visualisation techniques that make interpretation of market segments and selection of target segments easier. 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.
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Creative Commons Licence cc by cc http://creativecommons.org/licenses/by/4.0/
eng
Freely available e-book