Last Updated on 1 year ago by School4Seo Team

After exporting Google Analytics data to BigQuery, you can use SQL to query your data, answering questions and gaining insights into your products, users, and channels.

• You can access app-specific reports such as crash data, notification effectiveness, and deep-link performance
• You can use conversions for ad campaign bidding, and audiences to target ad campaigns
• You can use audiences to target website experiments and test variants of your web pages
• You can use SQL to query your data to answer questions and gain insights into your products, users, and channels

The correct answer is: You can use SQL to query your data to answer questions and gain insights into your products, users, and channels

Explanation: Exporting Google Analytics 4 (GA4) data to BigQuery enables you to use SQL to query your data, gaining detailed insights. BigQuery’s powerful data warehousing capabilities let you perform complex analyses, uncovering patterns in user behavior, product performance, and channel effectiveness. By using SQL, you can create custom reports and queries that go beyond the standard GA4 interface. This allows you to combine GA4 data with other datasets for a holistic view of your business. You can identify trends, segment users, and understand the impact of various marketing efforts, providing a deeper understanding of your data for informed decision-making.

BigQuery’s serverless architecture lets you use SQL queries to answer your organization’s biggest questions with zero infrastructure management.

BigQuery is a server-less, cost-effective, multicloud data warehouse designed to help you manage and analyze data with built-in features like machine learning, geospatial analysis, and business intelligence.

Read more here: https://cloud.google.com/bigquery/docs/introduction