INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This research focuses on customer churn prediction, a crucial aspect for businesses operating in subscription-based models. Leveraging advanced analytics and machine learning, the study integrates historical customer data, behavioral patterns, and demographics to develop robust predictive models. Through preprocessing, feature engineering, and the application of algorithms like decision trees and neural networks, the models are fine-tuned to accurately forecast customer attrition. The investigation also explores key factors influencing churn and addresses ethical considerations, providing businesses with actionable insights to implement targeted retention strategies and foster long-term customer loyalty.
"CUSTOMER CHURN PREDICTION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.b146-b149, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403113.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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