JOURNAL ARTICLE

The Role of Predictive Analytics in Customer Retention

Divya Chockalingam

Year: 2021 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

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 Leverage (statistics) Customer retention Analytics Customer intelligence Big data Customer engagement Predictive modelling Customer advocacy

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Topics

Customer churn and segmentation
Social Sciences →  Business, Management and Accounting →  Marketing
Big Data and Business Intelligence
Social Sciences →  Business, Management and Accounting →  Management Information Systems
AI and HR Technologies
Social Sciences →  Business, Management and Accounting →  Organizational Behavior and Human Resource Management

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