Explaining the Whys of Customer Churn with Snowflake Cortex LLMs
phData
SEPTEMBER 10, 2024
How Churn is Analyzed and Monitored Churn analytics involves using data analysis techniques to understand and predict customer churn. Various methods include: Descriptive Analytics : Summarizing historical data helps understand the current churn state. Machine learning models are often employed to predict churn.
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