Customer Journey Mining is a data-driven analytical method that systematically uncovers, extracts, and structures patterns of customer interactions across touchpoints and channels over time to reveal the underlying sequence, intent, and evolution of customer behaviors within the customer journey.
34
Publications
1.7K
Citations
106
Authors
45
Institutions
Publications per year
2017–2026
22
Parents
Publications
34
Gaining Customer Experience Insights That Matter
Janet R. McColl‐Kennedy, Mohamed Zaki, Katherine N. Lemon et al. · Journal of Service Research · 2018 · 272 citations · Full text
Identifying E-Scooter Sharing Customer Segments Using Clustering
Jutta Degele, Anna Gorr, Katja Haas et al. · 2018 · 128 citations
1–5 of 34
Authors
106
- MH
3
h-index
- PA
2
h-index
- AT
2
h-index
- GB
2
h-index
- JE
1
h-index
1–5 of 106
Institutions
45
Eindhoven University of Technology
Eindhoven, The Netherlands
2 h-index
4 publications
196 citations
Boston College
Boston, United States
2 h-index
2 publications
393 citations
The University of Queensland
Brisbane, Australia
2 h-index
2 publications
296 citations
Tamkang University
Taipei, Taiwan
1 h-index
3 publications
147 citations
University of Warmia and Mazury in Olsztyn
Olsztyn, Poland
1 h-index
1 publications
41 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
3 publications
816 citations
Indian Institute of Technology Delhi
New Delhi, India
1 h-index
2 publications
114 citations
Reutlingen University
Reutlingen, Germany
1 h-index
10 publications
1.3K citations
1–8 of 45
Venues
- Expert Systems with Applications
3 publications · 180 citations
3
h-index
- Marketing Intelligence & Planning
2 publications · 76 citations
2
h-index
- Journal of Retailing and Consumer Services
1 publications · 50 citations
1
h-index
- European Sport Management Quarterly
ESMQ · 1 publications · 14 citations
1
h-index
- BPM (Demos)
1 publications · 12 citations
1
h-index
1–5