Simo Ahava – Google Analytics 4 in Big Query

Original price was: $997.00.Current price is: $30.00.


Are you prepared to advance your knowledge of data analytics? You may have access to insightful data that will enable you to make data-driven choices for your company with Google Analytics 4 and Google BigQuery. We’ll go over all you need to know to start using these tools in this blog article.Getting Going

Setting up your BigQuery environment and connecting it to your Google Analytics 4 account is the first step. By doing so, you’ll have access to the course dataset and be able to look at the export schema. Run your first SQL query after you’re comfortable with the schema to begin retrieving data.

Users & Events

For an analysis to be successful, it is essential to comprehend GA4’s session and user data models. The event data stream may be sessionized in BigQuery, and data can be grouped by users and various user-based attributes. To obtain more specific insights, you may also access user characteristics and learn how to unnest data. It’s crucial to consider query costs when you begin analyzing the data and to optimize your queries for optimal effectiveness.

Retention and Participation

Retention and engagement rates are crucial business indicators. You may duplicate and adapt the sessionization and retention models from GA4 in BigQuery to meet your needs. Additionally, “engagement” may be used to segment data and create unique pathing reports that display how people move throughout your website. You can pinpoint problem areas and monitor advancement over time with the use of thorough event reports and funnels. Last but not least, combining BigQuery with Google Data Studio may assist you in producing stunning, interactive reports that make it simple to communicate your ideas to others.

Cash Value & Lifetime Value

Understanding the GA4 ecommerce event structure is essential if you operate an online store. You may compute ecommerce metrics using BigQuery and investigate how GA4 makes use of “items” in ecommerce events. Building a thorough sales funnel will show you how consumers go through the purchasing process, and figuring out lifetime value will enable you to make wise choices about client acquisition and retention.

In conclusion, Google Analytics 4 and Google BigQuery are strong tools that may assist you in gaining insightful knowledge and making data-driven business decisions. With the knowledge you gain from this course, you’ll be able to up your analytics game and start having a significant influence on your company. So why are you still waiting? Start right away!

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Data is precious in today’s digital world. As e-commerce has grown, firms produce enormous volumes of data every day. The analysis of this data can reveal important trends, preferences, and behaviors of consumers. Google BigQuery and Google Analytics 4 are useful in this situation.The most recent version of Google’s web analytics tool, Google Analytics 4, enables companies to monitor user behavior on their websites and mobile applications. In contrast, Google BigQuery is a cloud-based data warehouse solution that enables companies to swiftly and effectively store and analyze enormous amounts of data.

Businesses may access a variety of data that can be utilized to optimize their website, enhance user experience, and boost income by integrating Google Analytics 4 and Google BigQuery. However, for individuals who are unfamiliar with these technologies, setting up this integration might be a difficult undertaking.

This course fills that need. The course dataset may be accessed, along with detailed instructions on how to build up the BigQuery environment, connect Google Analytics 4 and Google BigQuery, and use those two services together. Additionally, it shows you how to execute your first SQL query and discusses the Google Analytics 4 export structure.

After presenting the session and user data structures for GA4, the course digs into events and users. You may learn how to unnest data, access user attributes, organize data by users and other user-based dimensions, sessionize the event data stream in BigQuery, and learn about query costs and optimization.

Every organization must prioritize engagement and retention in order to succeed. This course teaches you how to reproduce and modify GA4’s sessionization logic, utilize “engagement” as a segmentation criterion, create unique pathing reports to show visitors how to explore your website, and create extensive event reports and event funnels. It also demonstrates how to use Google BigQuery with Google Data Studio and reproduce and alter the retention model from GA4.

For each firm, monetization and lifetime value are also crucial KPIs. This course explains how to construct ecommerce metrics and examines the ecommerce event structure in the GA4 data. Additionally, it explains how GA4 uses “items” in e-commerce events and shows you how to create a thorough items funnel.

As a result, this course provides a thorough explanation of how to integrate Google Analytics 4 with Google BigQuery. Businesses may enhance user experience, boost income, and obtain insightful knowledge on their website and user behavior by taking this course.


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