解决方案指南
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
借助以下解决方案指南,利用来自 Google Analytics(分析)媒体资源的 BigQuery Export 数据解决业务问题。
使用 BigQuery ML 为游戏应用提供的流失预测功能
了解如何使用 BigQuery ML 对来自您的游戏应用的 Google Analytics(分析)4 数据运行倾向模型,以确定特定用户返回您的应用的可能性。查看流失预测功能的完整指南。
衡量效果并进行调试
了解如何将网页指标数据发送到 Google Analytics(分析)4 媒体资源,以及如何导出此类数据以便在 BigQuery 和数据洞察中进行分析。查看网页指标衡量的完整指南。
如未另行说明,那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可,并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情,请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC):2024-04-22。
[null,null,["最后更新时间 (UTC):2024-04-22。"],[[["\u003cp\u003eLeverage BigQuery solutions to address business challenges using exported data from your Google Analytics property.\u003c/p\u003e\n"],["\u003cp\u003ePredict user churn in gaming apps by employing BigQuery ML to analyze Google Analytics data and identify potential churn risks.\u003c/p\u003e\n"],["\u003cp\u003eMeasure and debug web performance by sending Web Vitals data to Google Analytics, and leverage BigQuery and Data Studio for in-depth analysis.\u003c/p\u003e\n"]]],["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"],null,["# Solution Guides\n\nUse these solutions guides to solve business problems utilizing the BigQuery\nexport data from your Google Analtyics property.\n\nChurn prediction for gaming apps using BigQuery ML\n--------------------------------------------------\n\nLearn how you can use BigQuery ML to run propensity models on Google Analytics\ndata from your gaming app to determine the likelihood of specific users\nreturning to your app.[View the full guide for Churn Prediciton](https://cloud.google.com/blog/topics/developers-practitioners/churn-prediction-game-developers-using-google-analytics-4-ga4-and-bigquery-ml). \n\nMeasure and debug performance\n-----------------------------\n\nLearn how to send Web Vitals data to Google Analytics properties and export\nthe data for analysis in BigQuery and Data Studio. [View the full guide for web\nvitals measurement](https://web.dev/vitals-ga4/)."]]