Behavioral Retention Analytics is an analytical framework within retention analytics that specifically examines user engagement patterns and actions over time to identify behavioral indicators predictive of continued or discontinued participation, distinguishing itself from demographic or transactional approaches by focusing on observed interactions rather than static attributes or purchase history.
4
Publications
74
Citations
16
Authors
9
Institutions
Publications per year
2017–2026
4
Parents
Publications
4
Exploiting Usage to Predict Instantaneous App Popularity
Stephan Sigg, Eemil Lagerspetz, Ella Peltonen et al. · ACM Transactions on the Web · 2019 · 26 citations · Full text
1–5 of 4
Authors
16
- PN
1
h-index
- AT
1
h-index
- AK
1
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- ST
1
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- EL
1
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1–5 of 16
Institutions
9
Swinburne University of Technology
Melbourne, Australia
1 h-index
1 publications
12 citations
University College Cork
Cork, Ireland
1 h-index
1 publications
26 citations
Aalto University
Espoo, Finland
1 h-index
1 publications
26 citations
Government Medical College
Patiāla, India
1 h-index
1 publications
26 citations
University of Helsinki
Helsinki, Finland
1 h-index
3 publications
78 citations
University of Cyprus
Nicosia, Cyprus
1 h-index
2 publications
20 citations
Lancaster University
Lancaster, United Kingdom
1 h-index
1 publications
26 citations
Deakin University
Burwood, Australia
1 h-index
2 publications
24 citations
1–8 of 9
Venues
- Journal of Sport Management
JSM · 1 publications · 12 citations
1
h-index
- ACM Transactions on the Web
TWEB · 1 publications · 26 citations
1
h-index
- Materials Today Proceedings
1 publications · 26 citations
1
h-index
- Expert Systems with Applications
1 publications · 11 citations
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