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Segmentation in Social Marketing

Overview of attention for book
Segmentation in Social Marketing
Springer Singapore

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Segmentation in Social Marketing: Why We Should Do It More Often that We Currently Do
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    Chapter 2 An Umbrella Review of the Use of Segmentation in Social Marketing Interventions
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    Chapter 3 The Importance of Segmentation in Social Marketing Strategy
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    Chapter 4 Changing Times for Social Marketing Segmentation
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    Chapter 5 How and Why Segmentation Improves ROI
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    Chapter 6 Segmentation in Social Marketing: Five Steps to Success
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    Chapter 7 Methods in Segmentation
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    Chapter 8 Segmentation Using Two-Step Cluster Analysis
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    Chapter 9 Increasing Civic Engagement Through Market Segmentation
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    Chapter 10 Segmenting Caregivers to Gain Insights for Social Marketing Program Design
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    Chapter 11 Young Adults and Alcohol: An Explorative Audience Segmentation Analysis
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    Chapter 12 Using Segmentation and Theory to Design Better Promotion and Prevention Campaigns: A RECYC-QUÉBEC Case Study
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    Chapter 13 Why We Need Segmentation When Designing Social Marketing Programs
Overall attention for this book and its chapters
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23 X users

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118 Mendeley
Summary X
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Title
Segmentation in Social Marketing
Published by
Springer Singapore, January 2017
DOI 10.1007/978-981-10-1835-0
ISBNs
978-9-81-101833-6, 978-9-81-101835-0
Editors

Timo Dietrich, Sharyn Rundle-Thiele, Krzysztof Kubacki

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X Demographics

X Demographics

The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Serbia 1 <1%
Unknown 117 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 16%
Student > Ph. D. Student 12 10%
Student > Bachelor 12 10%
Student > Doctoral Student 9 8%
Researcher 8 7%
Other 22 19%
Unknown 36 31%
Readers by discipline Count As %
Business, Management and Accounting 30 25%
Engineering 8 7%
Social Sciences 7 6%
Computer Science 6 5%
Agricultural and Biological Sciences 6 5%
Other 21 18%
Unknown 40 34%

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