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Optimizing Marketing Budget using Snowpark ML

Hex Staff
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Overview

This solution architecture shows how to use Snowpark ML and stored procedures to analyze the marketing spend and optimize marketing budget. 

  • Run pre-processing, feature engineering and selection, and model training using Snowpark
  • Evaluate the model performance against precision, accuracy and recall metrics
  • Deploy a stored procedure to upsample the data to address class imbalance problem in model training

Solution Architecture: Optimizing Marketing Budget using Snowpark ML

Architecture Diagram
  • In this use-case, you learn how to use Snowpark ML and Stored procedures to analyze the marketing spend and ROI data.
  • The solution shows how to use Hex notebooks to build end to end machine learning workflows.

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Updated 2026-04-28

This content is provided as is, and is not maintained on an ongoing basis. It may be out of date with current Snowflake instances