Refer to the Universal Analytics (UA) section if you're still using a UA property. If we are interested in screenview data (Firebase apps), well modify the above query to include screen_view event parameters, which differ slightly from our page_view parameters: Like our page view information, this query will return a list of screens and associated users and screenviews. Using the GA UI I am able to view how many users viewed a specific "page view" that is being fired. In most cases, though, its more useful as a separate event dimension or table column. When getting started in BigQueryor with any new schemaits good to do a little testing and quality assurance to validate your data. @WilliamKnighting I highly recommend to migrate your query to the. This user-level granularity is not available in the Analytics interface, and is one of the key benefits of Google Analytics 4 Properties! And as Google says in the documentation, "When data collected in a day on one of these tables exceeds the row limits, the excess rows are rolled up under (other)."(1) Understanding Facebook CAPI Integration with Google Analytics 4 Using Server-Side Google Tag Manager, The Side Effects of Creating or Modifying Events in Google Analytics 4 UI, Google Analytics 4 User Pathways Overview, Creating or Modifying Events in Google Analytics 4 UI. Google Analytics 360 starts at $150,000 a year ($12,500 per month). Only actual clients, please. In our queries, we UNNEST each event parameter individually so that we can specify the associated value. Then, from that window, the formula extracts the page path of the events. If you have Firebase and Data Streams in Google Analytics 4 Properties, each app and data stream for which BigQuery exporting is enabled will export its data to that single dataset. Note: Alternatively, you could also take advantage of the COALESCE() function in BigQuery to retrieve each event parameter value (string, integer, float, etc.) To do this, were diving into three GA4 reports many of our clients use. Extract a clean page path from page_location, Turn a hit-level dimension into session-level, Query example of unnesting an event parameter without knowing the data type, Export Google Search Console data to BigQuery using Cloud Functions, IP Exclusion Filtering in Server-side Tag Manager, Send events from Server-side Tag Manager to BigQuery, http://www.domain.com/category/subcategory, Query the GA4 Session Last Non-direct Traffic Source in BigQuery, Pull visitor data through server-side Tag Manager to the dataLayer. Here, we use our event in our WHERE clause, but are also UNNESTING by the items array: This query returns a very streamlined table, which shows us a unique row for each event. Because the aggregated reports are run daily, as you increase your date range you may find that the percentage variance increases exponentially over time. Instead, we can run a quick query to gain a comprehensive understanding of your events and parameter keys in Google Analytics 4 Properties. Note here that the only difference from our previous query is that we are UNNESTING by (user_properties) instead of (event_params). Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors. . Is it possible to find this data in big query as well? This algorithm approximates our user count in the analytics interface, and generally is within an acceptable range (~1-2 percent). Our events will contain user and event information, event parameters, and user properties. This kind of a query is also useful when working with custom event parameters that dont get included in any of the automatically generated events, like user_engagement. Editor's Note: This article is about Universal Analytics properties, which will stop processing data on July 1, 2023 (July 2024 for Analytics 360 properties). If you want to make the dimension user-level instead, you can use user_pseudo_id in the windows partition field. Before you begin What you'll do In this codelab, you're going to: Link your Google Analytics 4 Property to BigQuery. Save my name, email, and website in this browser for the next time I comment. Each event is structured in terms of key-value pairs, where we have an event_name and parameter values associated with a key, or parameter name. By subscribing to our premium plan you will unlock a 15% discount for the Simmer course. Here are some of the benefits of connecting GA4 to BigQuery. This article is about Google Analytics 4 properties. To do so, well use the key-value pairs that wed like to report on, such as transaction_id, and add in our associated transaction metrics from the BigQuery export schema. While our numbers in BigQuery may not exactly match what we see in Google Analytics, our BigQuery calculations are more accurate! We see here that well need both string_value and double_value parameters. GA4 BigQuery - Connect Google Analytics 4 with BigQuery Analytical cookies are used to understand how visitors interact with the website. Using this information, we can isolate our transactions by date and transaction_id, which will give us a high-level understanding of performance. In BigQuery, well access our eCommerce array values with each associated eCommerce event. #4 - Search Console introduces BigQuery bulk export, #3 - Relevant blog posts, join the conversation, GA4 bible released, #2 - SQL query support from ChatGPT, GA4 count approximation demystified, #1 - New website, updated queries, premium tutorials, GA4 x dbt, How to sync your marketing data with BigQuery using Fivetran's free plan, How to query streaming GA4 export data and combine it with historical data in BigQuery, How to explore GA4 event data with the sample ecommerce data set in BigQuery, How to filter events in your GA4 BigQuery export to avoid exceeding daily 1 million event limit, How to create a pivot table with GA4 data in BigQuery, Let's build together: towards an open-source community-driven dbt package for the GA4 BigQuery export, Why your BigQuery results don't (exactly) match with Google Analytics reports (GA4), How to query multiple GA4 'events_' tables with '_table_suffix' in BigQuery, How to set up BigQuery linking in your Google Analytics 4 property, How to replicate the 'Conversions | (Enhanced) Ecommerce | Shopping behavior' funnel report, Tutorial: How to create your own custom channel grouping, Enhanced Ecommerce products: dimensions & metrics, (Enhanced) Ecommerce transactions: dimensions & metrics, How to query an intraday table (and combine it with daily tables), Platform and device: dimensions & metrics, How to query realtime tables and views (and combine it with daily tables). Whereas in BigQuery, you can have a sheet with more sheets within the cells. Your email address will not be published. For example, let's say you want to identify the pages that people are landing on and leaving from. GA BigQuery: Are you able to query total 'page views' of a specific page view? [GA4] Automatically collected events - Analytics Help Free at last! Advanced Guide to Page View Tracking in Google Analytics 4 - Online Metrics Link GA4 property to the BigQuery project. GA4 (Google Analytics 4) Dimensions Tutorial with Free GA4 ebook If youve worked in BigQuery before, you are familiar with the differences between the raw hit-level export data vs. the aggregated reports in Google Analytics. Vote. Future society where tipping is mandatory. The GA4 BigQuery export stores the event data in daily export tables. Both of these SDK considerations will often make a difference in the data that you see in BigQuery. All you need to do is to wait for 24 hours for the data to be export to your Bigquery dataset. The process comes down to four steps: Create a BigQuery project. Here's probably the most efficient way of doing so: #standardSQL SELECT COUNT (1) FROM `dataset.ga_sessions_tableid` WHERE EXISTS (SELECT 1 FROM UNNEST (hits) WHERE REGEXP_CONTAINS (page.pagepath, r'/home/') AND type = 'PAGE') With the help of unnest and parse for dates or timestamps we can do the trick. You can create a unique session id by combining the ga_session_id parameter with user_pseudo_id. Building a query in Google Analytics 4 Properties is generally much easier than in Universal Analytics. However, as the data is event-level, meaning that theres one record per event, youll always have to define the formulas for getting the basic stuff you see in the GA4 UI. The other method reads the pages query parameters into a nested array of key-value pairs similar to the default event_params array. One small remark: cleaning URLs would probably be easier with regexp_extract instead of two regexp_replace statements. While designing the course Query GA4 Data In Google BigQuery I've learned a lot about best practices to calculate dimensions and metrics. Lets take a look at the view_item_list event, which represents an impression of a product/item list on your website. This feature can be found. Query GA4 Data In Google BigQuery is a comprehensive zero-to-hero course designed to teach you everything you need to know about raw data access, query, and analysis. Basic SQL skills are not enough in my opinion, so those pre built requests are really helpful to understand this logic better. Page tracking: dimensions & metrics - GA4BigQuery In this case, the landing page is the clothing page that the user landed on. No Page Path level X dimensions are currently available in GA4. The output also provides insights into products that are viewed but never purchased or added to cart and never purchased. With the migration to Google Analytics 4 Properties, you may experience organizational anxiety over the changing data model. Using the BigQuery GA4 sample dataset for the time period January 1, 2021 - January 31, 2021, you'll see these results: After running the query, you now have a list of all page titles and screen classes sorted by their popularity based on total users visiting the page or screen. 40+ GA4 Gotchas, Limitations & Need to knows - Growth Runner In Google Analytics 4 (GA4) how can I see page views by path and Before we can dive into our data and begin writing SQL queries, well need to connect our Google Analytics 4 Properties and/or Firebase projects to Google Cloud Platform. It does not store any personal data. These tables will be formatted and separated by date, and appear as "events_YYYYMMDD." Its important to always understand the discrepancy and test to ensure your query is adding and aggregating correctly. With the above query, we can see a flattened table for our date range. The export opens up many possibilities for analysis not available through GA4 UI itself. [GA4] BigQuery Export schema - Analytics Help - Google Help Making sense of Page View events in GA4 (and how to handle pesky url parameters), Prepare your cloud project for Bulk data export Google Search Console, Making Sense of the GA4 Configuration Tag. Google Analytics 4 (GA4) vs Universal Analytics: Key Differences Is there an identity between the commutative identity and the constant identity? About this course To get the number of page views for a specific page, use this: Thanks for contributing an answer to Stack Overflow! You should now see a screen like the one below: #13 Click on the ' Select Field ' drop-down menu and then select ' Date ': #14 Click on the ' Generate Query ' button: You should now see the generated query on the right-hand side of your window: #15 Copy the generated SQL code by clicking on the ' Copy ' button: #16 Paste the . We also have product-level information in our items. Hi guys! This dimension tells if GA4 measured an engagement during the session or not. We generally have far fewer metrics that we need to calculate in our Google Analytics 4 Propertiesto match our reporting interface than in our traditional Google Analytics 360 sessions tables, but we will still often need to reference the export schema to see what is available to us. Ultimately, wed recommend using the transition to Google Analytics 4 Properties as a time to re-evaluate your data collection and reporting strategy as a whole. The row limit for many reporting tables is 50,000 rows. You may want to refer back to the Google Analytics export schema to isolate each column available for reporting. Thank you! One important feature of the data model that we havent touched on is user properties, which are similar to our user-scoped custom dimensions in Google Analytics today. Again thanks a lot for taking the time to respond! Again, this user-level granularity may not always be available in the Analytics interface, and can be considered a key benefit of linking BigQuery! Google Analytics 4 is quite different from Universal Analytics. You can export all of your raw events from Google Analytics 4 properties (including. Please let me know in the comments if I missed something important. You can reference the BigQuery documentation for other options. While we praise the analytics interface for its accessibility and reporting ease, BigQuery provides our organizations with the opportunity to conduct a much deeper and more customized analysis for our business. GA4 BigQuery Query Builder - Analytics Canvas This query will return the event parameter values that we want to select by event. In the example from earlier, Page A, Page B, and Page C are all landing pages. To set up a content group using the Google tag, add the content_group parameter to the web page as follows: gtag('set', 'content_group', '
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