Data-driven personalized marketing strategy optimization based on user behavior modeling and predictive analytics: Sustainable market segmentation and targeting

Bin Sun

doi:10.1371/journal.pone.0328151

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Open Access

Peer-reviewed

Research Article

Data-driven personalized marketing strategy optimization based on user behavior modeling and predictive analytics: Sustainable market segmentation and targeting

Bin Sun

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: pufanyiuzhu@sohu.com

Affiliation School of Economics and Management, Changchun Finance College, Changchun, Jilin, China

https://orcid.org/0009-0003-9986-3382

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Data-driven personalized marketing strategy optimization based on user behavior modeling and predictive analytics: Sustainable market segmentation and targeting

Bin Sun

Published: July 24, 2025
https://doi.org/10.1371/journal.pone.0328151

About the Authors

Bin Sun

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: pufanyiuzhu@sohu.com

Affiliation School of Economics and Management, Changchun Finance College, Changchun, Jilin, China

https://orcid.org/0009-0003-9986-3382

Competing Interests

The author declare that there are no conflicts of interest.

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Machine learning algorithms
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Behavior
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