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This notebook showcases how you can use BigQuery ML to run propensity models on Google Analytics 4 data from your gaming app to determine the likelihood of specific users returning to your app.

Using this notebook, you'll learn how to:

• Explore the BigQuery export dataset for Google Analytics 4
• Prepare the training data using demographic and behavioural attributes
• Train propensity models using BigQuery ML
• Evaluate BigQuery ML models
• Make predictions using the BigQuery ML models
• Implement model insights in practical implementations

If you’d like to learn more about any of the topics covered in this notebook, check out these resources:

• BigQuery export of Google Analytics data
• BigQuery ML quickstart
• Events automatically collected by Google Analytics 4

If you have any questions or feedback, please open up a new issue.