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Customer segmentation divides customers into groups based on characteristics like buying behavior, preferences, and demographics. This enables targeted marketing strategies that cater to specific customer needs, increasing engagement and conversion rates. Data-driven segmentation helps marketers personalize content and promotions, ensuring more effective use of marketing resources and maximizing return on investment (ROI). Techniques such as clustering and decision tree analysis are commonly used in segmentation. Option A is incorrect as customer segmentation is directly related to customer behavior. Option C is incorrect because it does influence future strategies by guiding marketing efforts. Option D is incorrect because it has no relevance to stock market trends. Option E is incorrect as data accuracy, while important, is not the primary purpose of segmentation.
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