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- W4378554404 abstract "Abstract: The days when we ran our company based on assumptions and presuming that all of our consumers had similar demands are long gone. To have high customer retention and increase sales in the rapidly evolving business world of today, we need to know our clients inside and out. Customer segmentation is a tried-and-true strategy for achieving this. Businesses can better utilize their marketing budgets by segmenting their markets. They can also get an advantage over rival enterprises and, most importantly, show that they have a better understanding of their customers' needs and wants. Customer segmentation is the process of grouping your consumers according to shared traits like habits or demographics so you can market to them more successfully. In order to keep customers and make money from them, customer segmentation has become very popular in recent years. In the study that follows, customers of various organizations are categorized according to their behavioral characteristics, such as spending and income. By taking behavioral factors into consideration, these methods are more effective than others. Customers are categorized based on behavioral characteristics using a machine algorithm known as the k-means clustering method. Using such clusters, the business can target certain clients and offer the material to them through advertising campaigns and social media platforms that they are truly interested in." @default.
- W4378554404 created "2023-05-28" @default.
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- W4378554404 date "2023-05-31" @default.
- W4378554404 modified "2023-10-14" @default.
- W4378554404 title "An Implementation on User Centered Website Using Customer Segmentation" @default.
- W4378554404 doi "https://doi.org/10.22214/ijraset.2023.52864" @default.
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