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Question 1 of 30
A retail company is analyzing customer purchasing behavior to improve its marketing strategies. They decide to use clustering techniques to segment their customers based on their purchase history, which includes variables such as total spending, frequency of purchases, and product categories bought. After applying the K-means clustering algorithm, they find that the optimal number of clusters is three. Which of the following statements best describes the implications of this clustering result for the company\'s marketing strategy?
The company should tailor its marketing campaigns to address the specific needs and preferences of each of the three distinct customer segments identified through clustering.
The company can use a one-size-fits-all marketing approach since all customers are now grouped into three clusters.
The clustering results indicate that customer behavior is uniform across all segments, suggesting no need for targeted marketing.
The company should focus solely on the largest cluster, ignoring the smaller segments as they represent a negligible portion of the customer base.

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