overview
This solution architecture helps you understand how to use Snowpark to run causal inference, a machine learning technique to calculate the sales lift and in turn the effectiveness of advertising campaigns.
- Join ad impressions and sales information using Snowflake’s Data Cleanroom
- Use Snowpark to preprocess and train causal machine learning model to predict customer sales
- Build another ML model to score the likelihood of a customer influenced by the campaign