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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMWP8078

Developing a Web App for Data Segmentation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREMWP8078

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

TD

Tushar Deshpande

KD

Kaustubh Desai

SJ

Swayam Jilla

PJ

Pratik Jadhav

SJ

Srushti Jadhav

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Abstract

The success of any marketing strategy lies in the ability to effectively identify and target the right customers. Customer segmentation is a critical tool in achieving this goal, as it enables marketers to divide their target audience into distinct groups with similar characteristics and needs. In recent years, the proliferation of web-based applications has made it possible to streamline and automate the customer segmentation process, leading to more accurate and efficient targeting. This paper aims to explore the role of web-based applications in facilitating effective customer segmentation and the key features and functionalities required for such applications. By doing so, the paper seeks to contribute to the growing body of knowledge on the use of technology in marketing strategy, particularly in the area of customer segmentation

KEYWORDS

Clustering Segmentation Web Application

Cite This Article

Tushar Deshpande, Kaustubh Desai, Swayam Jilla, Pratik Jadhav, Srushti Jadhav, "Developing a Web App for Data Segmentation," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024.

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Publication Date

11/4/2024

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Double-Blind Peer Review

Review Rounds: 2

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