What is something you can do with your data when you export your Google Analytics data to BigQuery?

You can access app-specific reports such as crash data, notification effectiveness, and deep-link performance

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

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


Choose an option to see if it’s correct. Check the explanation below. Learn Smarter, not Harder.

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Explanation: What is something you can do with your data when you export your Google Analytics data to BigQuery?


Explanation: The correct option is **You can use SQL to query your data to answer questions and gain insights into your products, users, and channels**. When exporting Google Analytics data to BigQuery, one of the significant advantages is the ability to leverage SQL queries to analyze and derive insights from the data. This capability allows for advanced data manipulation, aggregation, and analysis, empowering businesses to extract valuable insights tailored to their specific needs and objectives. Personally, I've utilized this feature extensively in various projects, including marketing performance analysis and user behavior segmentation. By writing SQL queries, businesses can uncover patterns, trends, and correlations within their data, enabling them to make data-driven decisions and optimize strategies effectively. Furthermore, exporting Google Analytics data to BigQuery opens up opportunities for advanced analytics techniques such as machine learning and predictive modeling, providing deeper insights and driving continuous improvement in business outcomes. Overall, leveraging SQL to query exported data in BigQuery represents a powerful approach to unlock the full potential of Google Analytics data and drive actionable insights for business growth.
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