Usa queste guide alle soluzioni per risolvere i problemi aziendali con BigQuery
esportare i dati dalla proprietà Google Analytics.
Previsione del tasso di abbandono per le app di gioco con BigQuery ML
Scopri come utilizzare BigQuery ML per eseguire modelli di propensione su Google Analytics
Dati dell'app di gioco per determinare la probabilità di utenti specifici
tornando alla tua app.Visualizza la guida completa per Churn Prediciton.
[null,null,["Ultimo aggiornamento 2024-08-14 UTC."],[[["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"]]
