9. the first time a user reaches the bottom of each page (i. Custom Channel Groups are specified in an API report request. Other dimensions and metrics that you might need are a bit harder to access. With it, you can: Add. GA4 added some handy metrics here that give you an idea of user behavior, such as: Items viewed. select * from -- change this to your google analytics 4 export location in bigquery `ga4bigquery. Navigate to the “ Resource ” tab and select “ Manage added data sources “. Step 4: drag and drop the dimensions and metrics in the report builder. Option 1: Set up Analytics data collection for the first time. Dimensions are attributes associated with data points like events, products, users, etc. You can enter the name of a metric or scroll through the drop-down to select a metric. Visiting the GA4 Dimensions and Metrics Explorer is one of the best things you can do to get started. Reading suggestion: [GA4] Scopes of traffic-source dimensions. , when a 90% vertical depth becomes visible) The event populates the Percent scrolled. Choose Metrics. How to query the most important geo location dimensions and metrics from the GA4 BigQuery export, like continent, country, region and city. Event Scoped Custom Dimensions in GA4 – Tutorial #7 GA4 Metrics. These “advanced reporting” features are weird at first. It tells GA4 when and where to track the dimension or metric. We have custom dimension define in Google Analytics Data API v1Beta for extracting data from Google Analytics GA4 account. For more information on engagement rate, check out this page. Next, you can create a new dimension or metric and give it a name and scope. dateRanges[] object()Date ranges in the request. The scope is like the rules of the game. The process by which campaign and traffic-source data is sent to Analytics and populated in reports has the following steps: Collection – values are sent to Google Analytics in the campaign and traffic-source fields using the SDKs or tracking code. The following new GA4 metrics are mostly based on the Engaged Sessions metric, which Google defines as a session that lasts longer than 10 seconds, or had a conversion event,. The “Variables” in a GA4 exploration are simply the segments, metrics, and dimensions that we have available to work with. You may refer to the API Dimensions & Metrics schema of Google’s documentation to know which dimension or metric you need. This article contains a query that you can use to create a custom ecommerce transactions performance report, based on your Google Analytics 4 export data in BigQuery. These options are defined in this article. A great tool but I have run into a related problem to what Jim had. Custom dimensions and custom metrics in Universal Analytics are used to add information to collected data. In this method, a Google Analytics GA4 Property Identifier is specified in the request, and the metadata response includes Custom dimensions and metrics as well as Universal metadata. Make sure you are in the correct account. A lot of Google Analytics 4 dimensions and metrics can be derived straight from the tables without. GA3’s data model is based on sessions and page views, while GA4’s is based on events and parameters. Conversions in Google AnalyticsLet's take a look at the public noaa_gsod global weather data set. Do this if you’re new to Analytics and ready to collect data for your website and/or app. In Admin, under Data display, click Custom definitions. One of the most annoying bugs in GA4 (at least for users of the GA4 data export) is the incorrect attribution of event traffic data. The blend approach is more nimble, but custom metrics are easier to use and run afoul with Google’s quota limits. Custom dimensions and metrics enable you to report on information about your users and how they interact with your site or app. Metrics are the quantifiable number associated with the data. Keep in mind. 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. You can drill deeper into the data by Search Console dimensions (but not by Analytics dimensions). Click Custom definitions. The following dimensions can be requested in reports for any property. Also, check out this Google tool which allows you to view the UA and GA4 version of the dimensions & metrics side by side. [GA4] Archive dimensions and metrics; 4 of 20 [GA4] Calculated metrics; 5 of 20 [GA4] Collect data about your users; 6 of 20 [GA4] Predefined user dimensions; 7 of 20 [GA4] About Analytics sessions; 8 of 20 [GA4] Understand user metrics; 9 of 20 [GA4] User engagement; 10 of 20 [GA4] Engagement rate and bounce rate;Ecommerce. Because of this, not all possible combinations of reporting dimensions can be compared between UA and GA4: App tracking implementation differences between UA and GA4: It’s recommended you rely on one SDK where possible. Tip: get access to the GA4 Demo Account if you don’t have GA4 properties set up yet. With the help of unnest and parse for dates or timestamps we can do. In the Property column, click Data Streams. Yay!Step 2: Add the variable to the tag. To opt out from adding these settings automatically, go to the Setup Assistant in the connected UA property. GA4 has introduced new dimensions and metrics for ecommerce. In Dimension name, enter a unique name for the new dimension. With the help of unnest and parse for dates or timestamps we can do the trick. CohortSpec: (Optional) An object containing specific cohort analysis settings, such as cohort size and date range. First, Open your GA4 account. Google Analytics metrics and dimensions help you understand your users, optimize your website for conversions, and measure the ROI of your marketing campaigns. In the left Variables column, add the different Dimensions and Metrics you want to. What kind of reports you can build in GA4 Explorations. You must set up ecommerce events to populate ecommerce metrics. Working demos with actual data sent to Google Analytics. Update frequency: daily. Now, we’re going to pull in our Dimensions and Metrics to find what pages are leading to 404 page views. As. GA4 has much focus on the users’ journey. The set_checkout_option event is used to capture additional information about a checkout step that becomes available after a user has selected an option (e. You must set up ecommerce events to populate ecommerce metrics. If you select it, it will show you the retention for active users over a time window of five weeks, for users who had any event. Support for UA & GA4. In Variables, to the right of the DIMENSIONS, METRICS, or SEGMENTS section, click . The dimensions and metrics supported in queries to the Realtime method of the Analytics Data API. This section uses terminology related to GA3 (Universal Analytics). In GA4, custom events and metrics can be sent using measurement protocol. My imported table’s dates are not formatted as dates but as numbers for some reason and when converting, sheets fails to translate the number value to the correlating date value and instead chooses the last date in the built-in date table as the value. Example queries to retrieve the most important dimensions and metrics for the Google Analytics 4 (GA4) BigQuery export. a. Here's a sample request with the recommended fields:You cannot simply replicate GA3’s metrics and dimensions strategy. In the previous video, you learned about custom events and event parameters. 9% of the users who viewed an item went on to the next step add_to_cart. Additionally, you’ll need to select your Google Analytics account, GA4 property, report date range, metrics, dimensions, and filtering and sorting arrangements. This article is about GA3 - Universal Analytics. To find our page referrer info, first go to Explore in the left-hand navigation. So, if you see a data table with 200 rows, its cardinality would be 200. What You Won’t Find in GA4 Metrics and Dimensions. A lot of Google Analytics 4 dimensions and metrics can be derived straight from the tables without performing calculations on the data. As long as you stick to the. Inequalities there indicate tracking bugs, so that could be a good point of reference for assessing other hit-level discrepancies. The cohort exploration is one of the template charts in the GA4 user interface. At least one valid entry in the dimensions field. The following dimensions can be requested in reports for any property. There are dimensions that you can choose for your report: Page title and screen class, Page path and screen class,. At the bottom of the page, click Configure tag settings. The other ‘rows’ are in fact nested fields, in most cases null values. Google Analytics provides event-scoped and item-scoped metrics to help you measure interactions with products or services on your website or app. Examine all dimensions and metrics that are. This example query contains all following Google Analytics date and time dimensions and metrics. A collection of 10 posts. Update frequency: daily. With event-scoped custom dimensions and metrics, parameters are identified for property-wide. So, 7 report templates are at your disposal in GA4 to help you get started with the. Typically, the information stored in custom dimensions, metrics, or events is considered static; you may, in some cases, want to overwrite the default. In GA4 you now have the option to link to Google Merchant Center, Google. Also, check out this Google tool which allows you to view the UA and GA4 version of the dimensions & metrics side by side. Use the search box to locate the dimension or metric faster. We recommend starting with the following parameters: A valid entry in the dateRanges field. Custom Metrics Vs. The Realtime Report Response of the API request is primarily a header and rows. With the transition from Universal Analytics (UA) to Google Analytics 4 (GA4), some of the terminology used in Google Analytics and Looker Data Studio reports has changed. New Time Dimensions Metrics in GA4 Enable Enhanced CX Analysis. If you only need one dimension or metric, look at the -- comments in. select * from -- change this to your google analytics 4 export location in bigquery `ga4bigquery. Select the items you want from the list, then click IMPORT. While marketers have been working to update their. I am an independent data analyst and have 8+ years hands-on experience in marketing, web & data analytics. [GA4] Minimize duplicate conversions with transaction IDs; 4 of 6 [GA4] Ecommerce scopes; 5 of 6 [GA4] About ecommerce. Custom Metrics Vs. Before delving into secondary dimensions, it's important to understand the difference between metrics and dimensions in GA4. READS. Processing – collected values are used to populate the final report dimensions according to a. select * from -- change this to your google analytics 4 export location in bigquery `ga4bigquery. Other dimensions & metrics you are used to in your Google Analytics analysing and reporting are a bit harder to access. Key difference between dimensions and metrics in GA4. Behavior vs engagement metrics. However, the abandonment rate for this step is quite high at 82. For example: Age is one of 18-24, 25-34. GA4 introduces a new primary metric to the mix: Active Users (also just called “users”). If you only need one dimension or metric, look at the -- comments in the example query and copy the part you need from the. Custom dimensions and metrics allow you to combine GA4 data with non-GA4 data, such as CRM data. Step 4 – List your UA events and custom dimensions and map them with. #13: Conversions. Cohort means belong to the same group. In Admin, under Data display, click Custom definitions. GA4 Custom Dimensions; GA4 Custom Metrics; GA4 Google Ads Links; GA4 DV360 Links; GA4 Firebase Links; The placeholder rows starting at row 10 can be added to, removed, or changed as you prefer. item fields. You will need to make some adjustments to account for the differences in the UA and. For this article, we’ll work our way straight down the list of reports along the left menu. A lot of Google Analytics 4 dimensions and metrics can be derived straight from the tables without performing calculations on the data. GA4 Entrances and ExitsThe recommended ecommerce parameters will be automatically collected into dimensions and metrics in Analytics available for reporting. The response will contain a set of metric values for each combination of the dimensions for. This article is about Google Analytics 4 properties. A lot of Google Analytics 4 dimensions and metrics can be derived straight from the. Some standard reports, such as the Pages and screens and Events reports, include engagement metrics by default. Did you know that reporting in GA4 is *very* different than in UA? I bet you did. The Analytics view ID from which to retrieve data. A lot of Google Analytics 4 dimensions and metrics can be derived straight from the tables. Helps you focus on important metrics: GA4 allows you to create custom reports that help you focus on metrics you care about. GA4 has much focus on the users’ journey. 3. Access the handy GA4 events and parameters cheatsheet. Adding it at the data source level makes it easy to add the new dimension/metrics to a chart and not have to create the dimension/metrics again. Evaluate user engagement. The following dimensions can be requested in reports for any property. One of the best ways to get started is to go to the GA4 Dimensions and Metrics Explorer. Choice of dimensions and metrics: GA4 offers a larger number of acquisition dimensions than. Then, hit the colorful plus sign to start a new Exploration. In Google Analytics 4, both dimensions and metrics are displayed in reports (data tables), where the dimensions are represented in rows, while metrics are represented in columns. 4. Because of this, not all possible combinations of reporting dimensions can be compared between UA and GA4: App tracking implementation differences between UA and GA4: It’s recommended you rely on one SDK where possible. At least one valid entry in the metrics field. GA4 attribution, metrics, and dimensions are reviewed here so users can preview the options that are available from GA4. As such it has not been reduced to 8 dimensions this is the current limit as it stands. If only ‘standard’ ecommerce is measured: use the hits. To find our page referrer info, first go to Explore in the left-hand navigation. The Google organic search traffic report is a pre-made detail report that displays landing pages with associated Search Console and Analytics metrics for your linked Search Console property. Availability of GA4. This means that the two analytics platforms collect, process, and report the same data differently. The most important goal conversions dimensions and metrics for GA360 BigQuery export, like goal completion location, goal previous step and goal completions. As GA4 is an event driven analytics tool,. Difference Between GA4 Explorations & Universal Analytics’ Custom Reports. Here's a sample request with the recommended fields:You cannot simply replicate GA3’s metrics and dimensions strategy. Step-6: Type ‘ landing page ‘ in the search box: Step-7: Drag and drop the ‘ Landing page ‘ report just below the ‘ Pages and Screen ‘ report and then click on the ‘ Save ‘ button: Step-8: Click on ‘ Save changes to current selection ‘: Step-9: Click on the ‘ Back ‘ button on the top left-hand side:We’ll start by understanding who will be using the report, their reporting needs, what data needs to be in the real-time dashboard, and if the dimensions/metrics are available to us in the GA4 and Big Query “intra_day” table. In doing so, companies can add additional, previously unavailable, or outdated metadata to hits that have already been collected and processed by Google Analytics 4 (GA4). Click Archive. If you want to collect information that Analytics doesn't capture with these dimensions and metrics, you can create your own custom dimensions and metrics. Google has announced an expansion of ecommerce measurement capabilities in Google Analytics 4 (GA4). Tip 3: Get Acquainted. This gives you great flexibility and refinement in how you measure your. Instead of looking at a. Additional Read: How to Make UA Basic Reports in GA4. You can use the Analytics URL builders to construct your URLs. 💡. Select a dimension or metric for additional details such as descriptions and. To build a custom report within GA4 in the Exploration section, select the “Free-form” report type. An additional field is_active_user will become available in the near future is available. With event-scoped custom dimensions and metrics, parameters are identified for property-wide. You can use the Analytics URL builders to construct your URLs. You can't use hyphens in the name, but you can use underscores and spaces instead. Step 2: Select a GA4 property that you have access to. In total, 30 new dimensions and metrics related to ecommerce are now available in. Measure anything that isn't captured in GA4's default metrics and dimensions. Archive custom dimensions and metrics. Google Analytics 4 reports use a definition of active users (users who are currently engaged). Explorations has over 100 predefined dimensions, and customization is possible. Key Dimensions and Metrics . 3. The Core Reporting methods (RunReport for example) accept a different set of Dimensions & Metrics than the Realtime method. If you type in and run response, it returns the raw data from the API. User dimensions & metrics (GA4) Device, app, web, stream and platform dimensions & metrics (GA4) Geo location dimensions & metrics (GA4)Adjust web session timeout. Step 3. More details on the general usage here, but to be able to query multiple tables of Google Analytics data you only need to look at the example queries I present you here. One of the best ways to get started is to go to the GA4 Dimensions and Metrics Explorer. Dimensions. You can also customize a report and create an exploration to include. In UA, we had two primary user metrics— Total Users and New Users. Play around with the platform and see if you can track entire customer journeys from start to. Custom. Event-scoped metrics measure the number of times an ecommerce event was triggered on your. You’ll have to calculate them, using your own queries. The most important ecommerce products dimensions and metrics for GA360 BigQuery export, like product, product sku, product category, unique purchases and product revenue. A lot of Google Analytics 4 dimensions and metrics can be derived straight from the tables without performing calculations on the data. In the Fields to Set section, add a row with the content group and variable. Metrics; Dimensions; Events & Conversions; Reports; Views, Filters & Settings; Google Analytics 4 Metrics. 3. Practical and useful information on all GA4 dimensions and metrics Cheat Sheet. In GA4, you can use dimensions to group, filter, or break down your data in various ways to gain insights into specific. Create an item-scoped custom dimension. Other dimensions and metrics that you might need are a bit harder to access. Sessions – Identify the best acquisition source. If we want to use the GA4 export schema in a relational database, we will need four tables: flat_events. As outlined in the article Events in Google Analytic 4 vs Universal Analytics, an essential task in migrating from Universal Analytics to Google Analytics 4 is the translation of your current measurement approach — including pageviews, events, custom dimensions, and sometimes custom metrics — into the Google Analytics 4 schema. Select a web data stream. Update: New dimensions and metrics for ecommerce in GA4. The ‘event + parameter’ based data model allows you to measure any custom event and can automate. Follow the steps below to create a landing pages report in GA4 via the exploration report template: Step-1: Login to your GA4 account and then click on the ‘ Explore ‘ tab: Step-2: Click on the ‘Blank ‘ report template: Step-3: Rename your report to ‘ Landing Pages ‘:We’ll start by understanding who will be using the report, their reporting needs, what data needs to be in the real-time dashboard, and if the dimensions/metrics are available to us in the GA4 and Big Query “intra_day” table. Dimensions and metrics [GA4] Dimensions et métriques Analytics. They are the primary indicators of performance and provide. This list will help users recreate reporting in GA4, but Google does note that not all GA4 data will match UA data exactly. In this tutorial we will look at the flaws of the current GA4 landing page report, at the time of writing, and we will spin up the GA4 export data in BigQuery to create our own customised landing page report, inspired by the GA3 landing page report, which could be used to monitor and optimise your SEO and acquisition strategy. To understand exactly how your website or app is. Similarly, you can add dimensions by clicking on the Add dimension button. But in most cases you will need to query a larger period of time. Hit-level metrics for them should be exactly equal across the platforms. A dimension provides context to a metric. Google Analytics uses this information to populate engagement metrics like User engagement and Average engagement time. Dimensions and metrics [GA4] Dimensões e métricas personalizadas [GA4] Dimensões e métricas personalizadas. If you want to create a metric instead of a dimension, click the ‘Custom metrics’ button next to ‘Custom dimensions’. At the bottom of the page, click Configure tag settings. The most important custom dimensions and metrics for GA360 BigQuery export, for different scopes like user, session, hit and product. Google Analytics provides event-scoped and item-scoped metrics to help you measure interactions with products or services on your website or app. You can find these in the sidebar under “ Configure “. UA and GA4 use different user-identity methods; UA uses Client ID while GA4 uses User-ID. analytics_250794857. Below is my code, Im fetching activeUsers based on current date. Create dimensions and metrics from event parameters and user properties so you can easily access data in reports and explorationsCustom dimensions andClick GA4 Setup Assistant, the first option in the Property column. Make sure you are in the correct account and property. Metrics in Google Analytics 4 vs. This is an underlying metric showing you the average time your webpage was in the focus of your user. Examples for data pulling don't seem to be available in the documentation here. 9. Create dimensions and metrics from event parameters and user properties so you can easily access data in reports and explorations. 1. Step 2: Now click on ‘Audiences’. Make sure you are currently logged into your Google Analytics account when you launch the GA4. Under the 'PRIMARY DIMENSIONS' header, you can manage the metrics in the table header. . Example queries to retrieve the most important dimensions and metrics for the Google Analytics 4 (GA4) BigQuery export. A lot of Google Analytics 4 dimensions and metrics can be derived straight from the tables without performing calculations on the data. Error: Please remove customEvent:institution_id to make the request compatible. However, the implementation and configuration of. How Google Analytics is organized Create an organization Switch between accounts and properties Structure your Analytics account Edit / delete accounts, properties, and data streams Move a property Delete / restore accounts and properties Access and data-restriction management Add, edit, and delete users and user groups Universal. Get started with reports Data freshness Dimensions & metrics Custom dimensions & metrics Get started with Explorations Measure activity across platforms with User-ID Reporting identity Analytics Insights. While migrating to a. [GA4] Custom dimensions and metrics [GA4] Custom dimensions and metrics. The dimensions and metrics supported in queries to the Realtime method of the Analytics Data API. But in most cases you will need to query a larger period of time. flat_items. Engagement rate – Identify if your content is meeting user expectations. Note: Dimensions are not required in API requests. Why we care. Review the list of entities in Analytics (e. A lot of Google Analytics 4 dimensions and metrics can be derived straight from the tables without. First, you’ll need to go to the GA4 admin section and go to the custom definitions section. Hit-level metrics for them should be exactly equal across the platforms. Make sure that you also add any additional conditions (in the. offset: string (int64 format) The row count of the start row. Now, you’ll select the metrics that you want to see for your dimensions. The most important event tracking dimensions and metrics for GA360 BigQuery export, like event category, event action, event label and unique events. Demos. Dimensions & Metrics (V3) Find the entire list of dimensions and metrics in the Analytics Reporting API v4 Dimensions & Metrics Explorer . Event and Conversion TrackingWell and there also are custom dimensions. The following metrics still exist within GA4, they’ve just been renamed. GA4 does not have uniquePageviews or avgTimeOnPage. Click the “ Add A Field ” option. Google has announced an expansion of ecommerce measurement capabilities in Google Analytics 4 (GA4). Practical and useful information on all GA4 dimensions and metrics Cheat Sheet. GA4 provides superior funnel creation and analysis capabilities. For example, the dimensions of a product may be product name, product category, product price, product SKU, etc. Create dimensions and metrics from event parameters and user properties so you can easily access data in reports and explorations. Click Add new condition to add users who meet conditions based on dimensions, metrics, and events. Google Analytics provides event-scoped and item-scoped metrics to help you measure interactions with products or services on your website or app. In Google Analytics, click Admin. Default Channel Grouping Report in GA4. Analytics Data APIs take the same variables, such as Metrics, Dimensions, Segments and Date range. So. Using the GA4 tag will help you collect all automated and enhanced measurement events to send core data to your GA4 property. Metrics. 2. These will help you to customize the report according to your needs. The header consists of DimensionHeaders and MetricHeaders which list the columns in the Report. In Universal Analytics, there are two User metrics: Total Users, and New Users. Assume you had 150 sessions on your website during. A lot of Google Analytics 4 dimensions and metrics can be derived straight from the tables without performing calculations on the data. You will get a screen like below. You can use the Compatible Fields section of the GA4 Dimensions & Metrics Explorer to verify whether certain dimensions and metrics are compatible. You can view the dimensions and metrics for a specific property using the GA4 Dimensions & Metrics Explorer. The data can also be found in Search Console. [UA→GA4] Comparing metrics: Google Analytics 4 vs. GA4 introduces a new way of working and Google has created a tool that is adapted to the current web environment and how users interact with multiple devices. Archive custom dimensions and metrics. Availability of GA4 metrics and dimensions in DataStudio, API, Explorer, Customization Reports, Audiences, RealTime, Filters, Comparisons, Subproperties. This worked fine till yesterday. Let me enable you to replicate the. CRM data. Here’s a guide to GA4 explorations. Availability of GA4 metrics and dimensions in DataStudio, API, Explorer, Customization Reports, Audiences, RealTime, Filters, Comparisons, Subproperties. Wenn ein Parameter für mehrere Ereignisse registriert wurde, wird ihm in Analytics ein Dimensions- oder Messwertname zugewiesen, um so zwischen den Parametern zu unterscheiden. In Dimension name, enter a unique name for the new dimension. In Google Analytics 4 it takes a few steps to find the channel reporting within the reporting interface. The completion rate for this step is 4. UDFs are a way to create your own custom functions using SQL. There are some major differences between GA4 and UA when it comes to the data and metrics. Custom dimensions and metrics require additional. Dimensions and metrics [GA4] Differences in user counts [GA4] Differences in user counts. In this report you'll find data about your events, segmented by event category, event action and event label. The issue occurs when a page view event is generated from a Google search ad and the event includes a gclid parameter in the page url, but the event is still attributed to organic or direct traffic. Google Analytics 4 (GA4) was built with ecommerce in mind. You can also hover over the dimensions and metrics to learn more about the data shown, or you can click "View user acquisition" to open a detail report with more data. We need an equivalent example on how we can achieve the same result with Firebase GA4 API so that we can quickly migrate over to GA4 before. Update: New dimensions and metrics for ecommerce in GA4. Dimensions and metrics [GA4] アナリティクスのディメンションと指標 レポート、データ探索ツール、オーディエンス作成ツール、セグメント ビルダーに表示される、Google アナリティクス 4 のディメンションと指標について詳しく説明します。 Session dimensions & metrics (GA4) How to query the most important session dimensions and metrics from the GA4 BigQuery export, like (engaged) sessions, engagement rate and time, bounce rate and bounces. Google uses these three terms frequently within their interface and documentation, and they can be a bit confusing. 7. The recommended ecommerce parameters will be automatically collected into dimensions and metrics in Analytics available for reporting. Then we add the pivot () operator and optionally an order by: 3) The SQL logic to put between the parentheses of the pivot () operator. [GA4] Dimensi sumber traffic, pemberian tag manual, dan pemberian tag otomatis; 12 dari 20 [GA4] Cakupan dimensi sumber traffic;. [GA4] Dimensions "Source de trafic", taggage manuel et taggage automatique; 12 sur 20 [GA4] Portée des dimensions "Source de trafic" 13 sur 20 [GA4] Campagnes et sources de trafic; 14 sur 20 [GA4] Groupe de canaux par défaut;[GA4] Archive dimensions and metrics; 4 of 20 [GA4] Calculated metrics; 5 of 20 [GA4] Collect data about your users; 6 of 20 [GA4] Predefined user dimensions; 7 of 20 [GA4] About Analytics sessions; 8 of 20 [GA4] Understand user metrics; 9 of 20 [GA4] User engagement; 10 of 20 [GA4] Engagement rate and bounce rate;Ecommerce. For example if a custom metric with parameter name levels_unlocked is registered to a property, the Metadata response will contain customEvent:levels_unlocked. Attribution dimensions will still be compatible with attributable metrics like conversions, user-based metrics like. The dimensions and metrics supported in the Analytics Data API queries. Metrics are quantitative measurements that provide numerical values, such as the number of users, sessions, or page views. You can apply up to 20 dimensions and. Google calls these th. The Google analytics reporting api may allow for additional dimensions and metrics but they are it's a. As a Google Analytics user you are probably quite attached to the default reports in the user interface of Universal Analytics. If you use the Core Reporting API, we highly recommend you migrate to the Analytics Reporting API v4 . This article is about GA3 - Universal Analytics. It allows you to create a tabular view of your data using various Dimensions and Metrics. Note: In Google Analytics 4 you can set up 50 custom dimensions and 50 custom metrics per property ( source) and of course if you buy Google 360 you will be given a higher number. The biggest difference between custom dimensions in Universal Analytics and GA4 has to do. Metrics are quantitative measurements — things you can actually measure, such as pages per session or the number of page views. For example if a custom metric with parameter name levels_unlocked is registered to a property, the Metadata response will contain customEvent:levels_unlocked.