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Solution guides Stay organized with collections Save and categorize content based on your preferences.

Use these solutions guides to solve business problems utilizing the BigQuery export data from your Google Analtyics property.

Churn prediction for gaming apps using BigQuery ML

Learn how you can use BigQuery ML to run propensity models on Google Analytics data from your gaming app to determine the likelihood of specific users returning to your app.View the full guide for Churn Prediciton.

Measure and debug performance

Learn how to send Web Vitals data to Google Analytics properties and export the data for analysis in BigQuery and Data Studio. View the full guide for web vitals measurement.

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Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2026-08-19 UTC.

Need to tell us more? [[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-08-19 UTC."],[],["The guides provide solutions for leveraging Google Analytics data exported to BigQuery. One guide details using BigQuery ML to build propensity models for gaming apps, enabling churn prediction by determining user return likelihood. Another guide explains how to send Web Vitals data to Google Analytics, export it to BigQuery, and analyze it further in Data Studio for performance measurement and debugging.\n"]]

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