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TL;DR:
TL;DR Learn how to use data science to tailor marketing strategies with customer segmentation. Analyze customer segmentation data with factor analysis, principal component analysis, hierarchical clustering, and k-means clustering. Get insights into customer demographics, purchasing behaviors, and visiting behaviors. Identify four customer segments and create marketing strategies tailored to each segment. Leverage customer segmentation to find lookalike audiences.
Summary:
. In conclusion, customer segmentation is an important data science technique that can help businesses better understand their customers and tailor their marketing strategies accordingly. With machine learning algorithms, businesses can uncover valuable insights about each customer segment at scale and apply the insights to business decisions. Through this article, we learn how to use data science to uncover and analyze customer segments, and how to use the results to optimize marketing strategies.