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189: Customer Data Modeling, The Data Warehouse, Reverse ETL, and Data Activation with Ryan McCrary of RudderStack
The Data Stack Show
Enhancing Machine Learning with Predictions and Data Insights
The user interface displays the most recent run but retains all previous runs, allowing for flexible retention settings. By leveraging machine learning capabilities, the system can predict user behavior and feature evolution progression over time. Users can define conversion features and offer exclusion criteria for more accurate predictions. The predictions product provides lead scores, propensity for defined conversion actions, and turn scores. The system is trained on customer data and runs models weekly. Additional features include attribution models for first touch, last touch, and multi-touch, tailoring personalized recommendations for next best actions. Future developments involve LTV prediction and category prediction.
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