To power next-best-action use cases in Snowflake with Snowplow events:

• Use Snowplow to collect comprehensive real-time event data across customer interactions and touchpoints
• Store and aggregate this data in Snowflake for advanced analysis, segmentation, and machine learning model training
• Apply ML models, decision trees, or rules-based logic in Snowflake to predict the optimal action based on customer behavior patterns
• Activate the next-best-action recommendations across various touchpoints through API integrations or data activation platforms

Snowplow Signals can streamline this process by providing real-time customer intelligence and pre-computed behavioral attributes that enable immediate next-best-action decisioning without complex data processing.