Customer segmentation analysis for improving sales using clustering

PILLI SRI DURGA *, J. A. PAULSON and MARRI SRINIVASAREDDY

Department of Computer Science and Engineering Varaprasad Reddy Institute of Technology, AP, India.
 
Research Article
International Journal of Science and Research Archive, 2023, 09(02), 708–715
Article DOI: 10.30574/ijsra.2023.9.2.0663
Publication history: 
Received on 07 July 2023; revised on 14 August 2023; accepted on 16 August 2023
 
Abstract: 
Customer segmentation analysis, a vital component of marketing strategy, involves the categorization of a diverse customer base into distinct segments, each with unique characteristics and preferences. This process enables businesses to tailor their marketing efforts, create personalized experiences, and ultimately enhance sales performance. Clustering, a powerful data analysis technique plays a pivotal role in identifying these customer segments. By applying clustering algorithms to customer data, businesses gain valuable insights that facilitate the development of targeted strategies. This abstract explores the significance of customer segmentation analysis through clustering in the context of sales improvement. It highlights the benefits of clustering, such as resource optimization, customer retention, and the creation of more effective marketing campaigns. This research emphasizes the practical applications of clustering in identifying customer segments, allowing businesses to allocate resources efficiently, foster customer loyalty, and drive revenue growth. The abstract underscores the importance of data-driven customer segmentation as a strategic tool for businesses aiming to thrive in competitive markets, ultimately leading to improved sales outcomes.
 
Keywords: 
Customer segmentation; Clustering; Foster customer loyalty
 
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0