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Data Mining and Customer Relationship Management (CRM)

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Customer Lifetime Value Prediction

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By analyzing past behavior, data mining provides insights into the future value a customer is likely to generate.

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Churn Prediction

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Using historical data, data mining predicts which customers are likely to leave, allowing for proactive retention strategies.

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Sales Forecasting

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Data mining analyzes trends and patterns to forecast future sales, supporting better inventory and capacity planning.

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Cross-selling and Up-selling Opportunities

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Data mining identifies patterns and predicts which products a customer is likely to buy together or switch to, enhancing sales opportunities.

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Customer Satisfaction Analysis

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Data mining techniques such as sentiment analysis help understand customer feedback, leading to improved product and service offerings.

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Customer Segmentation

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Data mining helps in discovering distinct groups within customers to target marketing and service efforts effectively.

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