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Fishing for whales: a segmentation model for social casinos

Fishing for whales: a segmentation model for social casinos The purpose of this paper is to introduce a new customer segmentation model for the social casino industry. The key contribution of this model is the introduction of original psychographic/taste data, including a player emotions scale.Design/methodology/approachThe data for this research are based on player feedback from 22 countries, with evaluations of the top 100 social casino titles (apps). The new segmentation model splits the industry into distinct customer groups based on spending patterns, behavioral dimensions and attitudinal dimensions.FindingsThe results provide insight into game mechanics, social dynamics, player emotions, spend, price sensitivity, loyalty and other elements that impact monetization. Critical behaviors and preferences of social casino players that will help companies better understand and connect with their target customers are described.Originality/valueThis is the first study to develop a rigorous segmentation model of social casino games based on behavioral and psychographic data. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Quality and Service Sciences Emerald Publishing

Fishing for whales: a segmentation model for social casinos

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References (39)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1756-669X
DOI
10.1108/ijqss-06-2017-0053
Publisher site
See Article on Publisher Site

Abstract

The purpose of this paper is to introduce a new customer segmentation model for the social casino industry. The key contribution of this model is the introduction of original psychographic/taste data, including a player emotions scale.Design/methodology/approachThe data for this research are based on player feedback from 22 countries, with evaluations of the top 100 social casino titles (apps). The new segmentation model splits the industry into distinct customer groups based on spending patterns, behavioral dimensions and attitudinal dimensions.FindingsThe results provide insight into game mechanics, social dynamics, player emotions, spend, price sensitivity, loyalty and other elements that impact monetization. Critical behaviors and preferences of social casino players that will help companies better understand and connect with their target customers are described.Originality/valueThis is the first study to develop a rigorous segmentation model of social casino games based on behavioral and psychographic data.

Journal

International Journal of Quality and Service SciencesEmerald Publishing

Published: Oct 15, 2018

Keywords: Loyalty; Games; Customer segmentation; Monetization; Player emotions; Social casino

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