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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM50495
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This research investigates how predictive analytics can transform customer experience (CX) strategies in small and medium enterprises (SMEs). Given their limited resources and infrastructure, SMEs face challenges in adopting complex analytics tools. This study develops a customized frameworkâthe SME Predictive CX (SPCX) Frameworkâand validates it using real-world case studies. Results demonstrate measurable improvements in churn reduction, customer satisfaction, and lifetime value through affordable, accessible predictive tools.
KEYWORDS
Publication Date
6/13/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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