JOURNAL ARTICLE

The role of big data analytics in customer relationship management: Strategies for improving customer engagement and retention

Abstract

This paper explores the transformative impact of Big Data Analytics on Customer Relationship Management (CRM), focusing on its role in enhancing customer engagement and retention. The study highlights how Big Data enables businesses to create personalized customer experiences, anticipate customer needs through predictive analytics, and respond promptly with real-time data analysis. Additionally, the paper discusses using sentiment analysis to refine engagement strategies and applying predictive models to prevent customer churn. The effectiveness of loyalty programs is also examined, demonstrating how Big Data can tailor incentives to boost customer loyalty. The conclusion emphasizes the need for future research into advanced machine learning techniques, ethical considerations, and developing more sophisticated real-time analytics tools. The findings underscore the pivotal role of Big Data in transforming CRM strategies, driving customer satisfaction, and ensuring long-term business success.

Keywords:
Customer engagement Customer retention Business Customer intelligence Big data Analytics Customer relationship management Customer advocacy Process management Marketing Knowledge management Data science Computer science Service quality Data mining World Wide Web

Metrics

14
Cited By
13.26
FWCI (Field Weighted Citation Impact)
0
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Big Data and Business Intelligence
Social Sciences →  Business, Management and Accounting →  Management Information Systems

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