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A retail company wants to predict customer churn based on historical shopping patterns, demographics, and transaction data stored in BigQuery. The goal is to proactively reach out to customers likely to churn and offer incentives to retain them. Which approaches would be most appropriate for creating an effective predictive model? (Select two)