[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["缺少我需要的資訊","missingTheInformationINeed","thumb-down"],["過於複雜/步驟過多","tooComplicatedTooManySteps","thumb-down"],["過時","outOfDate","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["示例/程式碼問題","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間:2024-08-14 (世界標準時間)。"],[[["Leverage BigQuery solutions to address business challenges using exported data from your Google Analytics property."],["Predict user churn in gaming apps by employing BigQuery ML to analyze Google Analytics data and identify potential churn risks."],["Measure and debug web performance by sending Web Vitals data to Google Analytics, and leverage BigQuery and Data Studio for in-depth analysis."]]],["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"]]