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Review on machine learning based customer segmentation

By: Contributor(s): Publication details: Ghaziabad MAT Journals 2024Edition: Vol.10(3), Sep-DecDescription: 13-24pSubject(s): Online resources: In: Journal of computer science engineering and software testingSummary: The process of gathering and grouping clients into groups of people who share similar traits is known as customer segmentation. To segment a company's client base, keep consumers, and make money from them, customer segmentation has gained popularity in recent years. This divide increases the likelihood that a potential customer will buy an item by enabling advertisers to target a specific group of consumers. It allows them to create and employ clear lines of communication to interact with different clients regarding their offerings and draw them in. A simple strategy would be for the organizations to use radio advertising to reach older listeners and online media posts to attract younger audiences. This aids in establishing stronger client relationships and the organization's overall image as an association. Created clusters assist the business in focusing on specific clients and promoting material to them via social media platforms and marketing campaigns that genuinely interest them.
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The process of gathering and grouping clients into groups of people who share similar traits is known as customer segmentation. To segment a company's client base, keep consumers, and make money from them, customer segmentation has gained popularity in recent years. This divide increases the likelihood that a potential customer will buy an item by enabling advertisers to target a specific group of consumers. It allows them to create and employ clear lines of communication to interact with different clients regarding their offerings and draw them in. A simple strategy would be for the organizations to use radio advertising to reach older listeners and online media posts to attract younger audiences. This aids in establishing stronger client relationships and the organization's overall image as an association. Created clusters assist the business in focusing on specific clients and promoting material to them via social media platforms and marketing campaigns that genuinely interest them.

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