erenonal/K-means_customer_segmentation
Using K-Means algorithm for customer segmentation due to credit card behavior
This project helps banks and credit card companies understand their customers' spending habits to develop more effective marketing strategies. It takes credit card transaction data, including balances, purchase types, and payment frequencies, and organizes customers into distinct behavioral groups. The output is a clear segmentation of customers, detailing their unique spending profiles, which is valuable for marketing managers and strategists.
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Use this if you are a bank or financial institution needing to categorize credit card holders based on their spending and payment behaviors to inform targeted marketing campaigns or risk assessments.
Not ideal if you need to segment customers based on non-financial data like demographics, browsing history, or social media interactions.
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Last pushed
Jun 14, 2021
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