Machine Learning Models for Enhancing Customer Segmentation and Targeting in Business Intelligence

In recent years, consumer behaviour has undergone a rapid transformation as a result of the changing times. Consumer beliefs and choices are subject to shift as a result of the passage of time. It is challenging to ascertain the requirements and desires of consumers through a variety of promotion instruments in the generality of the mainstream market. Consequently, marketers may utilize customer segmentation as a strategy to provide consumers with preferred products or services. The business can rapidly ascertain the tastes of Its clients and offer them the products they desire through the implementation of segmentation. Nevertheless, businesses encounter great challenges in segmenting consumers through straightforward property removal due to huge gaps between them.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icaccm61117.2024.11059001
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine Learning Models for Enhancing Customer Segmentation and Targeting in Business Intelligence

M. Sindhuja, Prateek Srivastava, Mahesh Manohar Bhanushali, N. Meenakshi et al.
Customer churn and segmentation
article

Machine Learning Models for Enhancing Customer Segmentation and Targeting in Business Intelligence

M. Sindhuja, Prateek Srivastava, Mahesh Manohar Bhanushali, N. Meenakshi, Madhu Chavva, Sathiesh Veera
article en

Abstract

In recent years, consumer behaviour has undergone a rapid transformation as a result of the changing times. Consumer beliefs and choices are subject to shift as a result of the passage of time. It is challenging to ascertain the requirements and desires of consumers through a variety of promotion instruments in the generality of the mainstream market. Consequently, marketers may utilize customer segmentation as a strategy to provide consumers with preferred products or services. The business can rapidly ascertain the tastes of Its clients and offer them the products they desire through the implementation of segmentation. Nevertheless, businesses encounter great challenges in segmenting consumers through straightforward property removal due to huge gaps between them.

University of Mumbai (IN), Chhatrapati Shahu Ji Maharaj University (IN), IMS Unison University (IN), Prin. L. N. Welingkar Institute of Management Development and Research (IN), Saveetha University (IN)
Openalex Percentile: Top 56%
Customer churn and segmentation
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