You are working on a merchant analytics product and have been asked to improve how businesses are grouped and prioritized for outreach. Some merchants have historical labels for outcomes like conversion or churn, while many others only have behavioral and account data with no reliable target yet.
How would you decide whether to use a supervised or unsupervised approach here, and how would you validate that the chosen method is actually useful for the business problem rather than just statistically coherent?
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