Necessary cookies are absolutely essential for the website to function properly. In general, we expect most of the BigQuery and GA4 outputs to align; however, there are times when the two data sources do not match exactly. Is this possible with our Google Analytics 4 Properties data? Enable and configure BigQuery API. This array-based tracking method is very similar to our existing eCommerce implementation in Universal Analytics, but with a few caveats. GA4 BigQuery is the use of BigQuery for retrieving, storing and manipulating GA4 data . Thanks in advance! The cookie is used to store the user consent for the cookies in the category "Other. In summary, Googles pre-aggregated tables enable Google Analytics to serve us data more quickly, but often take a few steps to recreate in BigQuery. The cardinality of GA4 tables is limited in order to control processing costs. This article reviews things you should consider before creating or modifying events. Which field is more rigorous, mathematics or philosophy? Or variations such as: However, this parameter is not a unique session id. The Landing page dimension shows the page path and query string of the landing page. The ecommerce. "path_clean" is an extra parameter pulled in via the built-in GTM variable { {Page Path}}. Check out google.com/analytics/learn, a new resource to help you get the most out of Google Analytics 4. In our Google Analytics 360 exports, each dataset corresponds to a view within Google Analytics rather than a Firebase project. Below, I show two examples on how to extract query parameters: The simpler one just extracts the selected parameter value from the page_location string. Using the BigQuery GA4 sample dataset for the time period January 1, 2021 January 31, 2021, youll 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. Asking for help, clarification, or responding to other answers. However, the dimension is not included in all of the sessions events and the value can change from not engaged to engaged between the sessions events. For example, the following shows the previously defined content groups in the Pages and screens report: You may want to set additional content groups. Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. 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. In our GA4 & Firebase tables, each row represents a single event. Not the answer you're looking for? 1 Answer Sorted by: 0 BigQuery does not count exits so it has to guess based on last event, which is a different methodology to GA4 which means the number of exits will always be slightly different Here is a code to show the previous and next page visited showing entrances and exits Are glass cockpit or steam gauge GA aircraft safer? You can reference the BigQuery documentation for other options. In the previous example, we took out the query string from the page_location. Using the event post_score from above, lets understand attribution by level, time, and score. In BigQuery, your Google Analytics 4 Properties & Firebase tables will be located within your analytics dataset, and will begin with events_(). Google also offers a variety of other resources including, how to set up the GA4 and BigQuery integration. The default GA4 page_location field contains the pages full URL, including any query parameters. 1. While our numbers in BigQuery may not exactly match what we see in Google Analytics, our BigQuery calculations are more accurate! You can use the following query to UNNEST events by event name and parameter with key-value pairs by user. Prepare and send web-vitals. This combination of userID and timestamp can also be considered a unique event ID. If the idea of unnesting or flattening Google Analytics tables in BigQuery seemed daunting in the past, dont fret! @WilliamKnighting I highly recommend to migrate your query to the. Perhaps I am interested in seeing if our users have an outdated version of our app, thus not posting as many scores. This article is about Google Analytics 4 properties. For all data streams and app streams, analysts working in our BigQuery events table will primarily focus on isolating specific activities across users (and user properties) and events (and parameters). Instead of focusing on predefined metrics and overall trend analysis, BigQuery enables us to uncover insights that are simply not possible without a little data transformation. Google BigQuery is one of the products of the Google Cloud Platform. If you run a blog or news site, it's perfectly normal to read a single article and then leave. This article is a collection of some of the most common SQL formulas, plus a few extras, needed when working with the GA4 event data in BigQuery. With Google Analytics 4 Properties and Firebase, all product users are given access to hit-level unsampled databoth in the interface and most importantly, within Google BigQuery. Yes, it's certainly possible. Concatenating the user id and the timestamp ensures that we have all interactions per user, including multiples if they occurred during the given timeframe. Analytical cookies are used to understand how visitors interact with the website. Notice this counts total users and not total page views. From this array, you can unnest the parameter of choice later. When you link your Firebase Project to BigQuery, there will likely be several supported and recommended product integrations for reporting. 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. Other dimensions and metrics that you might need are a bit harder to access. From this data you now see which pages might be high value (resulting in revenue), highly engaging (high average engagement time), or bringing in the most new users. These tables will be formatted and separated by date, and appear as "events_YYYYMMDD." Instead, we can run a quick query to gain a comprehensive understanding of your events and parameter keys in Google Analytics 4 Properties. While designing the course Query GA4 Data In Google BigQuery I've learned a lot about best practices to calculate dimensions and metrics. Both of these SDK considerations will often make a difference in the data that you see in BigQuery. However, the automatic data type detection will cause problems if the common data type of the parameter cant be detected with all input values. The new website includes videos, articles, and guided flows, and provides links to the Google Analytics Discord, Blog, YouTube channel, and GitHub repository. In our queries, we UNNEST each event parameter individually so that we can specify the associated value. BigQuery is an enterprise-level data warehouse from Google that is used to provide business intelligence through reports and dashboards. For eCommerce, there are two data types that we will primarily use: ecommerce and items. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". GA4 vs Universal Analytics: Key differences . From the output youll see how users are engaging with this specific event name. As a digital professional (marketing, analyst, experience, etc. This article is about Google Analytics 4 properties. Page B would be the landing page users visit most often. Note: Alternatively, you could also take advantage of the COALESCE() function in BigQuery to retrieve each event parameter value (string, integer, float, etc.) This example query contains all following Google Analytics page tracking dimensions and metrics. How the Metrics and Dimensions Differ Entrances shows how many times the first event in a session happened on a page or screen. How many witnesses testimony constitutes or transcends reasonable doubt? Because Google Analytics data is hierarchical, you will often find yourself needing to write a query that accesses values from nested or repeated fields. If youd like to go deeper into the process behind UNNESTING, I urge you to review Todd Kerpelmans article on Firebase and nested events. When getting started in BigQueryor with any new schemaits good to do a little testing and quality assurance to validate your data. Youll also be able to access all analytics data related to your Firebase A/B tests in BigQuery. You can test whats happening by running the following query. If you only need one dimension or metric, look at the -- comments in the example query and copy the part you need from the select clause. Your email address will not be published. This feature can be found. It gets a bit more complex if you want to return the same for all event types. Data Blending in Google Data Studio Practical Guide, Upload Facebook Ads to BigQuery via App Scripts, recreate the traffic report in Google Analytics, Detecting and Classifying Bot Traffic in GA4 with BigQuery ML, Script to Monitor Facebook Ads Change History in Google Sheets, Building Keywords Generator with Google Sheets & Keyword Planner API, Solving Facebook Reach Deduplication in BigQuery, Google Ads Script to Monitor Change History, Import Facebook Ads Data to Google Sheets via Apps Script, Upload Facebook Ads to BigQuery via App Scripts | Optimization Up, How to link BigQuery to GA4? GA4 detects the data type of a parameter automatically based on the input value. Google Tag Manager transformed analytics implementation and tag management. How Do User Behavior, Implementation Error, and Google Analytics 4 Settings Impact (Not Set) in Landing Page Reports? Free Connection (integration), with associated query & storage costs. We wont be reviewing the GA4 schema, but if you are interested Id recommend bookmarking Googles BigQuery Export Schema for GA4. With the migration to Google Analytics 4 Properties, you may experience organizational anxiety over the changing data model. However, learning the SQL required to extract meaningful insights is no easy task and having to write SQL each time you want to dial in a query for analysis can really slow your flow. If youve been on the fence about implementingGoogle Analytics 4 Properties(and/or Firebase Analytics), let us incentivize you to take the plunge: the BigQuery connection is free for all Google Analytics 4 Properties (formerly App + Web)! For Tracking Single Page Applications with Google Analytics 4 Properties, please refer to this article instead. Each User-Scoped custom dimension must be unnested. If you're using Google BigQuery as your marketing data warehouse, I have good and bad news for you. How to View Exit Pages in GA4? Furthermore, as the SQL query always starts from the event level, it means that youll often need the same formulas again and again. The following query also makes use of temporary tables using the WITH statement. #5 - 90 days to go: are you ready to query your GA4 data? Basically i want to recreate viws or reports that are in Analytics. Level: Advanced. For our first sample query, well aggregate event activity in conjunction with several other dimensions, like date and stream_id. 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. These are all areas where you should consider doing further analysis to understand whats leading these users to convert or why the page is attracting so many new users. Join 3,600+ other professionals and receive a monthly newsletter packed with GA4 & BigQuery news, tips & tricks. What is the coil for in these cheap tweeters? The row limit for many reporting tables is 50,000 rows. Review your first GA4 to BigQuery export and start processing the data. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Seeing where people first land on your site or app can help you improve your customer experience and your marketing efforts. The custom buckets allow you to see metrics for related groups of information. Your email address will not be published. Learn more. While we hope this post has been comprehensive, we know that there is so much to learn when considering Google Analytics 4 Properties and BigQuery. The process comes down to four steps: Create a BigQuery project. [GA4] Path exploration - Analytics Help [GA4] Path exploration Explore your user journeys in a tree graph. Step-2: Create a new BigQuery project. 1- Navigate to your Google Analytics 4 property, then go to Admin page. How to Connect GA4 Data to a Looker Studio Dashboard Last Updated: February 23, 2023 Table of Contents Types of dimensions in GA4 Primary dimensions in GA4 How to change the primary dimension in GA4 Secondary dimensions in GA4 How to apply more than two dimensions to a GA4 report Introduction to default dimensions in GA4 User acquisition dimensions Session acquisition dimensions These cookies will be stored in your browser only with your consent. The fragments may be written multiple times leading to issues with your dataset. Make sure that you also add any additional conditions (in the from, where, group by and order by) that are necessary to calculate the results correctly. In BigQuery, well access our eCommerce array values with each associated eCommerce event. Using the GA UI I am able to view how many users viewed a specific "page view" that is being fired. dimensions) at the same time. So all reporting in GA4 relies on those events. Because almost every interaction in Google Analytics 4 Properties and Firebase is an event, we can also capture and report on our pageview and screenview data by UNNESTING our event parameters. 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') You also have the option to opt-out of these cookies. The Exit page report can give you some great insights. You can export all of your raw events from Google Analytics 4 properties (including. These items are also associated with an event in BigQuery. Is it possible to find this data in big query as well? The data model. For instance I have two dimensions called page_path and previous_page_path which I can select individually by If you set it to include, for example, all tables with a suffix greater than 20220207 youll also end up including all the intraday tables. Analytics Canvas allows you to: From the output, companies can see what products are being viewed, added to cart, and purchased. In the base tag of GA4, you can send a field that I like to call " clean_path ", and fill that with the GTM built-in variable { {Page Path}}. Events dimensions & metrics (GA4) Join 3,600+ other professionals and receive a monthly newsletter packed with GA4 & BigQuery news, tips & tricks Already have an account? Although understanding a count of events is incredibly useful, you will probably want to access and isolate your event parameters as well for analysis. Many of you will be asked by your business users to recreate some of the dimensions or metrics that we see in our Universal Analytics (Google Analytics 360 data) today that are not part of the Google Analytics 4 Properties data model. GA4BigQuery is a digital platform on how to query Google Analytics 4 (GA4) data in BigQuery. These cookies track visitors across websites and collect information to provide customized ads. As always, drop a line in the comments if you have any questions, feedback or suggestions related to this article. Do you suggest a particular resource to use for making the transition or just stick to reading the google docs? #5 - 90 days to go: are you ready to query your GA4 data? This algorithm approximates our user count in the analytics interface, and generally is within an acceptable range (~1-2 percent). However, this time, instead of returning the maximum event parameter value of the session, we would return the first one. The Entrances metric shows the number of times that the first event in a session occurred on a page or screen. For additional information, review these:What is BigQuery and Why Is It Such a Hot Topic? Free at last! Leave a review and let us know how were doing. Refer to the Universal Analytics (UA) section if you're still using a UA property. If you havent upgraded your universal analytics properties to GA4, you can read our full guide here. In our traditional Google Analytics exports, one session will compose all events, custom dimensions, and interactions. The good news is that GA4 already connects natively with BigQuery. A lot of Google Analytics 4 dimensions and metrics can be derived straight from the tables without performing calculations on the data. 17- At this step, you should be all good to go. You may also be asked to recreate landing pages or exit pages within these sessions. In most cases, though, its more useful as a separate event dimension or table column. Ex-Google, building MarTech and AdTech products, successfully shipped GA4 Auditor and GA4 SQL so far. The pre-aggregated reports in Google Analytics rely on a probabilistic cardinality estimation algorithm called HyperLogLog ++. When in BigQuery, we can easily see these event parameters by clicking on the "preview"table pane. In the Universal Analytics tables, each row represents a single session. Because there are limited (as of Q3 2020) aggregated eCommerce reports within the Google Analytics 4 Properties interface, you will want to be extra cautious with your query building. However, I dont know how to filter based on multiple values (e.g. These values are already "flattened"and are directly associated with the purchase event in BigQuery. A user has a series of single-session days on your site: One way to see data about entrances and exits is to go to Explore create a free-form exploration. In the example, we look for the max value of the session_engaged parameter over the unique_session_id. Follow the steps below: Step-1: Create a new Google Cloud platform account. Although we receive a daily ga_sessions table once we are integrated with Google Analytics, the table schemas themselves are also very unique. The group of rows could be all rows that share the same unique_session_id (defined earlier). Occurs in the Firebase Console or in the Google Analytics 4 Property Interface. Entrance rate is the percentage of sessions that started on a page or screen. Very helpful! 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). After reviewing the data, companies might find areas where they can make website or app improvements. Its important to always understand the discrepancy and test to ensure your query is adding and aggregating correctly. Most notably, you may be asked to recreate session-scoped metrics such as sessions and bounce rates, among others. You may want to refer back to the Google Analytics export schema to isolate each column available for reporting. For example, new users is a "missing"metric in our BigQuery export schema that we can easily recreate in Google Analytics 4 Properties using the strategies that we defined above. To properly query for our Google Analytics 4 Properties events in BigQuery, well need to first understand what parameters are associated with each event_name, and which data type of parameter we are working with. Starting the Prompt Design Site: A New Home in our Stack Exchange Neighborhood, Temporary policy: Generative AI (e.g., ChatGPT) is banned. However, when we calculate our users in BigQuery, we rely on the underlying hit-level data. Determine what products customers are purchasing, adding to their cart, and viewing which using your website or app. If you do not have a mobile application, but are using aGoogle Analytics 4property for your web streams, you will only need access to the Events table. The best way to make an event-level field session-level is by utilizing analytic functions. In this case, when we UNNEST an event_param, we create a new column and attach the event name (or original row) to each new row that has been populated. 145 below) represent the number of daily partitioned tables available to you for analysis. Since Data Studio offers several benefits to most organizations, including branding capabilities, enhanced sharing functionality, and calculated fields (among others), connecting this tool to customized reporting tables may be the only nudge that you need to get started with BigQuery. We can use an analytic function, similar to the previous example, to get the sessions landing page. Why is that so many apps today require MacBook with a M1 chip? By subscribing to our premium plan you will unlock a 15% discount for the Simmer course. For example, if your BigQuery export datasets Id is my- first-gcp-project:analytics_28239234, then replace:-- Replace table `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` with: With this event, we can isolate the ga_session_number, and determine if our user is new or returning. This differs from Google Analytics today, where we often associate an Event Category with an Action, Label, and Value. We also may want to see which platforms (Android or iOS) are resulting in the most app_updates. Step-3: Click on the flood it dataset to access the BigQuery sample dataset for GA4 gaming app implementation. Thats why its good to define the filter using a between clause. The events tables are on a one-day lag, meaning that your Tuesday, August 2nd data will arrive on Wednesday, August 3rd, for example. In the User-Defined Variables section, click New. Entrances and exits are available in Explore. For each day of export, a table is imported within each analytics dataset. Each GA4 property is linked to a BigQuery DataSet that has the name analytics_x where "x" is the property ID. Event_params is a property of the event record and contains key-value pairs for all the related parameters. If a customer saw the same page twice it still counts as 1. See entrances and exits. Unsampled data, you get access to raw events data, Hight reporting speed thanks to Google infrasturcture, Integration with other data sources like CRM, Facebook Ads and more, Flexibility in manipulating data create unlimited dimensions or custom channel grouping, Apply machine learning to your data set and make accurate predictions. GA4BigQuery will focus mostly on how to utilise your Google Analytics data in BigQuery. Starting July 1, 2023, standard UA properties will stop processing data (July 1, 2024 for UA 360 properties). If you don't have a Google Cloud project, then you will need to create a new one as explained here: There are two layers of SDK consideration: 1) the version of Firebase Analytics installed within your app combined with 2) the version of the app that your users access on their devices. As leading analytics platforms, users can take, There are a few out-of-the-box events that Google Analytics 4 (GA4) tracks but custom events require a bit more configuration. Step 1: modify the basic GA4 Configuration Tag in GTM. Future society where tipping is mandatory. The items. As we discussed above, each row within our events table represents a single event. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc. In other cases, for example, you might want to return the last first value instead. If you want to ensure that your query extracts the data from all the possible data type fields, you can simply cast all of them to string and return the first non null value. BigQuery offers the ability to write custom SQL to pull data and perform advanced analysis. This article was a collection of some of the most common SQL formulas I find myself repeatedly using. Sign in A lot of Google Analytics 4 dimensions and metrics can be derived straight from the tables without performing calculations on the data. BigQuery is a cloud data warehouse that lets you run highly performant queries of large datasets. To extract the event parameters value and turn it into a column, you must write another select statement inside your query on the row level. All you need to do is to wait for 24 hours for the data to be export to your Bigquery dataset. Now, its time for server-side GTM to transform the field again. If you already have a BigQuery project, then navigate to it. Here, we've compiled a list of 9 Google Analytics 4 training courses that you may want to consider. 9. GA BigQuery: Are you able to query total 'page views' of a specific page view? #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). The GA4 BigQuery export stores the event data in daily export tables. Another way to think about this model is represented below: Each parameter value in Google Analytics 4 Properties is also assigned a data type such as a string, integer, double, or a float. This query can be modified to include any dimension that you are interested in! By clicking Accept All, you consent to the use of ALL the cookies. Similar to our event params, we can run a quick query to gain a comprehensive understanding of your user properties and associated keys in Google Analytics 4 Properties. The Overflow #186: Do large language models know what theyre talking about? You can set up content groups in Google Tag Manager using a RegEx Table variable. For the level_name, well use the string_value parameter. For example, you might want a top-level content group for Men's clothing and then content_group2 for Apparel and content_group3 for Shirts. Be sure to reference the Google Analytics 4 Propertiesand Firebase export schema to see a full list of possible dimensions. For example, let's say someone clicks an ad that goes to a clothing page on your website. However, if you are already an avid user of the tool for Google Analytics 360 data, but need a guideline on the differences between the two tables, you may find the following comparison sheet useful as you make the switch to the new data model. Basic SQL skills are not enough in my opinion, so those pre built requests are really helpful to understand this logic better.

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