Loyalty Clustering
Loyalty Clustering is a data-driven segmentation method that groups customers based on behavioral and attitudinal indicators of loyalty, distinguishing itself from general clustering techniques by specifically prioritizing loyalty-related dimensions such as repeat purchase patterns, engagement intensity, and emotional commitment to a brand.
10
Publications
486
Citations
31
Authors
14
Institutions
Publications per year
2017–2026
3
Parents
10
1–5 of 10
31
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14

Iran University of Science and Technology
Tehran, Iran
2 h-index
4 publications
701 citations

University of Stirling
Stirling, United Kingdom
1 h-index
1 publications
40 citations
University of Nevada, Las Vegas
Las Vegas, United States
1 h-index
2 publications
96 citations

The University of Melbourne
Melbourne, Australia
1 h-index
1 publications
50 citations
Jakarta State Polytechnic
Depok, Indonesia
1 h-index
3 publications
75 citations
Universitas Saburai
Bandar Lampung, Indonesia
1 h-index
4 publications
44 citations

University of Nottingham
Nottingham, United Kingdom
1 h-index
1 publications
40 citations
National Changhua University of Education
Changhua, Taiwan
1 h-index
2 publications
44 citations
1–8 of 14
1 publications · 24 citations
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h-index
1 publications · 25 citations
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CQ · 1 publications · 48 citations
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1 publications · 19 citations
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1 publications · 50 citations
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