A customer cluster is the same as A customer market segment.
In the context of customer segmentation, customer clustering analysis is the use of a mathematical model to discover similar groups of customers based on finding the smallest differences between customers within each group. These similar groups are called "customer prototypes" or "personas."
The goal of cluster analysis in marketing is to accurately segment customers for more effective customer marketing through personalization. A common method of cluster analysis is a mathematical algorithm called k-means cluster analysis, sometimes called scientific segmentation.
The resulting clusters support better customer modeling and predictive analytics and are also used to target customers with offers and incentives tailored to their needs, needs, and preferences.
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