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IJNRD
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
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Impact Factor : 8.76

Issue per Year : 12

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Issue Published : 96

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Paper Title: CUSTOMER CHURN PREDICTION
Authors Name: Kanak Ashish Rai , Viraj Chheda , Pratham Koltharkar , Sameer Shaikh
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IJNRD_214615
Published Paper Id: IJNRD2403113
Published In: Volume 9 Issue 3, March-2024
DOI:
Abstract: 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.
Keywords: customer churn prediction, predictive ananlysis, predictive models
Cite Article: "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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ISSN: 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
Publication Details: Published Paper ID:IJNRD2403113
Registration ID: 214615
Published In: Volume 9 Issue 3, March-2024
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Page No: b146-b149
Country: Mumbai, Maharashtra, India
Research Area: Information Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403113
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403113
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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