CUSTOMER CHURN PREDICTION

CUSTOMER CHURN PREDICTION

Registration ID: IJNRD_214615

Published ID: IJNRD2403113

DOI: Click Here to Get

Kanak Ashish Rai , Viraj Chheda , Pratham Koltharkar , Sameer Shaikh

customer churn prediction, predictive ananlysis, predictive models

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.

Published Paper   E-Certificate

"CUSTOMER CHURN PREDICTION", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 3, page no.b146-b149, March-2024, Available :https://ijnrd.org/papers/IJNRD2403113.pdf

Volume 9 Issue 3, March-2024

Pages : b146-b149

Paper Reg. ID: IJNRD_214615

Published Paper Id: IJNRD2403113

Downloads: 000121177

Research Area: Information Technology 

Country: Mumbai, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403113.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403113

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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