The Role of Predictive Analytics in Customer Retention

Author(s)	Divya Chockalingam
Country	United States
Abstract	Predictive analytics is revolutionizing customer retention strategies by enabling businesses to anticipate customer behavior and take proactive measures to reduce churn. With the rise of big data, companies leverage machine learning, artificial intelligence, and statistical modeling to identify at-risk customers and tailor personalized engagement strategies. This paper explores the role of predictive analytics in customer retention, analyzing its problem statement, solutions, uses, impact, and scope.
Keywords	Predictive analytics, customer retention, machine learning, artificial intelligence, big data, churn prediction, business intelligence
Field	Business Administration
Published In	Volume 12, Issue 1, January-June 2021
Published On	2021-05-06
Cite This	The Role of Predictive Analytics in Customer Retention - Divya Chockalingam - IJAIDR Volume 12, Issue 1, January-June 2021. DOI 10.5281/zenodo.15104171
DOI	https://doi.org/10.5281/zenodo.15104171
Short DOI	https://doi.org/g897wk

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