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Analyze another fileUses k-means clustering (k selected via silhouette score across k=2..6, nstart=25) on z-score-standardized spending behavior features (product categories, purchase channels, recency, engagement) to partition customers into behaviorally distinct segments. Each segment is profiled by income level, category spending patterns, purchase channel preferences, and internal cohesion (silhouette coefficient) to support targeted product positioning, marketing campaigns, and customer retention strategies.
Interactive bar visualization
Interactive box visualization
Interactive scatter visualization
Interactive table visualization
Interactive table visualization
Plain-English interpretation of what the numbers mean, what's significant, and what to do next.
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