You can drill into the data by the Country and Device dimensions. In total, 30 new dimensions and metrics related to ecommerce are now available in. A lot of Google Analytics 4 dimensions and metrics can be derived straight from the tables without performing calculations on the data. Did you know that reporting in GA4 is *very* different than in UA? I bet you did. Explorations are not available in Universal Analytics (UA), but it has custom reporting features. # 18: Non-Ecommerce Value. Recently, Google announced that multiple Google Analytics 4 (GA4) ecommerce dimensions and metrics are now available for use in Google Data Studio. This article is about GA3 - Universal Analytics. 5%, indicating that the majority of users who viewed an item did not add it to their cart. This public dataset was created by the National Oceanic and Atmospheric Administration (NOAA) and includes global data obtained from the USAF Climatology Center. 3. On July 20, 2023, Google announced an expansion of e-commerce measurement capabilities in GA4, adding 33 new dimensions and metrics related to the e-commerce custom report builder. There are several exploration techniques that you can use. The issue occurs when a page view event is generated from a Google search ad and the. In the row for the custom dimension or metric, click > Archive. A lot of Google Analytics 4 dimensions and metrics can be derived straight from the tables without. This list will help users recreate reporting in GA4, but Google does note that not all GA4 data will match UA data exactly. READS. Given the limitation on the number of custom dimensions and metrics, it is advantageous to utilise recommended GA4 events instead of custom dimensions. Then go to the configure section. As GA4 is an event driven analytics tool,. The Queries report is a pre-made detail report that displays search queries and associated Search Console metrics for your linked Search Console property. Let’s provide a concrete example. This article covers everything you need to know about GA4 Dimensions. In the Custom dimensions tab, click Create custom dimensions. GA4 also introduces a new UI, lacks or limits some key capabilities, metrics, and reports known from its predecessor and introduces. You can apply up to 20 dimensions and 20 metrics to an exploration. Although GA4 permits the creation of up to 50 custom dimensions and metrics, it is important to be selective and only create those that are genuinely essential. For this article, we’ll work our way straight down the list of reports along the left menu. Click Add metric to add a. Sessions – Identify the best acquisition source. Dimensions cannot be used in this filter. This example query contains all following Google Analytics goal conversions dimensions and metrics. You need to make new reports designed for GA4. Explorations has over 100 predefined dimensions, and customization is possible. You must set up ecommerce events to populate ecommerce metrics. #13: Conversions. How do we make them available? For segments, we build them using the segment builder tool available in Explorations. Every ReportRequest within a batchGet method must contain the same viewId. Event-scoped metrics measure the number of times an ecommerce event was triggered on your. Tab Settings Column: The tab settings column is where you will specify the analysis technique4. Specify the "API Name" in a. [GA4] Escopos das dimensões de origem do tráfego; 13 de 20 [GA4] Campanhas e origens de tráfego; 14 de 20 [GA4] Grupo de canais padrão; 15 de 20Universal analytics and GA4 are two totally different systems your not going to be able to convert a report. They both work similarly. This is the most commonly used way of analyzing your data. With the help of unnest and parse for dates or timestamps we can do. " They keep you informed of. . Google Analytics 4 (GA4) was built with ecommerce in mind. 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. 9% of the users who viewed an item went on to the next step add_to_cart. The data returned from the API is as a table with columns for the requested dimensions and metrics. In Google Analytics, click Admin. 9. With event-scoped custom dimensions and metrics, parameters are identified for property-wide. In the Settings section, click Show all to see all. For that reason, you can't combine certain dimensions and metrics when any of the following are true: 如要尋找維度或指標，請按一下「全部展開」並在這篇文章中搜尋 (使用鍵盤上的 Ctrl + F 鍵或 Command + F 鍵)，或是使用 GA4 Dimensions & Metrics Explorer 查看特定資源的維度和指標。 填入方式 client reporting best practicesbest web analytics tools. Conversions in Google AnalyticsLet's take a look at the public noaa_gsod global weather data set. Learn about the new features and functionalities in the GA4 Dimensions and Metrics Cheatsheet release notes. 💡. In the Property column, click Data Streams. At least one valid entry in the metrics field. select * from -- change this to your google analytics 4 export location in bigquery `ga4bigquery. How to Create a Calculated Field in Looker Studio My goal is to provide valuable content to data analysts, online marketeers and engineers, who seek guidance on how to query the GA4 BigQuery export data set. 4. For example, if you start with the page users land on after clicking the add for your summer sale, you can see how many. g. You must set up ecommerce events to populate ecommerce metrics. Track all your clients’ key GA4 metrics in a live Google Analytics 4 dashboard. 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. Navigate to the Explore tab in your GA4 property. Custom dimensions and custom metrics are a vital part of GA4 and will influence how you see data within GA4 itself. Why we care. Dimensions and metrics [GA4] Benutzerdefinierte Dimensionen und Messwerte [GA4] Benutzerdefinierte Dimensionen und Messwerte. Using reports to see ecommerce metrics. In Dimension name, enter a unique name for the new dimension. It does not support pivot functionality and is a preferred method for simple report queries. Tip 3: Get Acquainted. 2. In the previous video, you learned about custom events and event parameters. Tab Settings Column: The tab settings column is where you will specify the analysis techniqueGA4 Entrances metric in Reporting API. 9. Note: Item-scoped and event-scoped dimensions and metrics are incompatible with one another. The GA4 Dimensions and Metrics Explorer tool provided by Google is a great tool to understand what dimensions and metrics are currently available to be used on a GA4 account and property (can include both websites and mobile apps). While many dimensions and metrics are populated automatically when setting up GA4, some require additional configuration before they are activated. Support for UA & GA4. analytics_250794857. The bounce rate can be useful, but only if interpreted in context. In the left Variables column, add the different Dimensions and Metrics you want to. Also, Google is constantly changing the position of the ‘Configure’ tab. The good news is that Google has provided a list of UA dimensions and metrics equivalent to GA4 dimensions and metrics. The most important custom dimensions and metrics for GA360 BigQuery export, for different scopes like user, session, hit and product. You will need to make some adjustments to account for the differences in the UA and. 9. [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. However, most companies need more detailed or custom reports to truly assess their campaigns and performance. Evaluate user engagement. flat_event_params. e. If GA4’s hundreds of dimensions make you feel as if you’re lost in a multiverse of marketing metrics–don’t worry. 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. Date and time dimensions & metrics (GA4) How to query the most important date and time dimensions and metrics from the GA4 BigQuery export, like date, year, month, iso week, day of week, hour and minute. Helps you focus on important metrics: GA4 allows you to create custom reports that help you focus on metrics you care about. Chose your created event parameter in the dropdown. We’ll also cover example mapping, custom dimensions, and reporting. Every ReportRequest within a batchGet method must contain the same viewId. Tip 3: Get Familiar. Why data is. User dimensions & metrics (GA4) Device, app, web, stream and platform dimensions & metrics (GA4) Geo location dimensions & metrics (GA4)Dimensions and metrics [GA4] Differences in user counts [GA4] Differences in user counts. The Dimensions & Metrics Explorer has the following features: Explore all of the dimensions and metrics – Search or browse by group. If you only need one dimension or. [UA→GA4] Comparing metrics: Google Analytics 4 vs. Tracking the crucial GA4 metrics, dimensions and events – making the most out of GA4. scroll. Website analytics and user behavior insights. 2. To change the default timeout of 30 minutes for web sessions: In Google Analytics, click Admin. And there you go, the report is ready to be explored. In Tags, open your Google Analytics: GA4 Configuration tag. Custom Definitions. GA4 presents more integrations with 3rd party data tools that Universal Analytics did not offer. 8. 3. Google has announced an expansion of ecommerce measurement capabilities in Google Analytics 4 (GA4). Click GA4 Setup Assistant, the first option in the Property column. Well and there also are custom dimensions. The Supermetrics for Universal Analytics connector gives you the flexibility to analyze your data. For a complete look at the GA4 available dimensions and metrics check out this Google resource. This section uses terminology related to GA3 (Universal Analytics). This article is about Google Analytics 4 properties. Except as otherwise noted, the content of this page is licensed under the Creative Commons. So, 7 report templates are at your disposal in GA4 to help you get started with the. flat_user_properties. In UA, users can create custom reports based on specific metrics and dimensions. GA4 provides predictive analytics capabilities. item fields. In Google Analytics 4 it takes a few steps to find the channel reporting within the reporting interface. We have custom dimension define in Google Analytics Data API v1Beta for extracting data from Google Analytics GA4 account. [GA4] Change dimensions in detail reports; 5 of 8 [GA4] Customize dimensions in detail reports; 6 of 8 [GA4] Customize metrics in details reports; 7 of 8 [GA4] Customize charts in detail reports; 8 of 8 [GA4] Customize detail reports; 4 of 13 [GA4] Apply comparisons to reports; 5 of 13 [GA4] Change and compare date ranges in reports;GA4; In UA, custom dimensions and metrics were sent using parameters of the form cd<dimensionIndex> and cm<metricIndex>, respectively. Metrics: An array of quantitative measurements, such as active users, page views, etc. The first step is to configure a custom dimension. Instead, GA4 automatically marks 4 collected mobile app events as conversions. Metrics show you a numerical value. This dataset covers GSOD data between 1929 and present, collected from over 9000 stations. 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. It allows you to create a tabular view of your data using various Dimensions and Metrics. 💡. The ‘event + parameter’ based data model allows you to measure any custom event and can automate. If only ‘standard’ ecommerce is measured: use the hits. Event count is an example of a metric that represents the total number of times an event is triggered. However, with the vast amount of data in Google Analytics 4 (GA4), deciding which metrics and dimensions to track can be overwhelming. 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. This gives us the following result: Remember, only row 1,2 and 3 in this example are real rows in our table. This example query contains all following Google Analytics enhanced ecommerce products dimensions and metrics. Source: Optimizesmart. Metrics; Dimensions; Events & Conversions; Reports; Views, Filters & Settings; Google Analytics 4 Metrics. . If you only need one dimension or metric, look at the -- comments in the example query. Here’s a guide to GA4 explorations. Schema compatibility changes announcement. This example query contains all following Google Analytics page tracking dimensions and metrics. Make it easier with AgencyAnalytics on the front end with our no-code client reporting software. With the help of unnest and parse for dates or timestamps we can do the trick. metricFilter: object (FilterExpression) The filter clause of metrics. analytics_250794857. Update frequency: daily. The other ‘rows’ are in fact nested fields, in most cases null values. Save your changes. GA4 provides superior funnel creation and analysis capabilities. The “Variables” in a GA4 exploration are simply the segments, metrics, and dimensions that we have available to work with. In the Value field, enter { {Content Group}}. You will get a screen like below. For more information on engagement rate, check out this page. You can use the Analytics URL builders to construct your URLs. , audiences, explorations) that use. You will have to (re)calculate them, which can require. They both work similarly. Adjust web session timeout. Then, hit the colorful plus sign to start a new Exploration. One of the main differences is "Explorations" in GA4. Custom dimensions and custom metrics in Universal Analytics are used to add information to collected data. Sessions – Identify the best acquisition source. The Realtime Report Response of the API request is primarily a header and rows. Make sure that you also add any additional conditions (in the. Custom dimensions and metrics allow you to combine GA4 data with non-GA4 data, such as CRM data. Then go to the configure section. Press the three dots menu depending on which custom dimension you’re interested in and then click on “Edit”. We recommend starting with the following parameters: A valid entry in the dateRanges field. This document contains a mapping of Universal Analytics API dimensions and metrics to equivalent Google Analytics 4 dimensions and metrics. 3. To find a dimension or metric, click Expand all and search this article (using Ctrl+F or Command+F on your keyboard) or use the GA4 Dimensions & Metrics Explorer to see. New Time Dimensions Metrics in GA4 Enable Enhanced CX Analysis. [UA→GA4] Comparing metrics: Google Analytics 4 vs. This page lists all dimensions and metrics available in the API. 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. You must select the Custom Definition option and go to the Custom Dimensions page. If we want to use the GA4 export schema in a relational database, we will need four tables: flat_events. So, for example, if your business is focusing on getting organic. What You Won’t Find in GA4 Metrics and Dimensions. New Time Dimensions Metrics in GA4 Enable Enhanced CX Analysis. In Google Analytics 4, there are three User metrics: Total Users, Active Users, and New Users . Practical and useful information on all GA4 dimensions and metrics Cheat Sheet. Metrics in Google Analytics 4 vs. Diese Bezeichnung. Metrics: An array of quantitative measurements, such as active users, page views, etc. 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. 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. , payment method). [GA4] Analytics dimensions and metrics; 2 of 20 [GA4] Custom dimensions and metrics; 3 of 20 [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;The Path exploration technique lets you understand the different ways users traversed your content, and the different metrics they generated along the way. At least one valid entry in the dimensions field. This number is important because it can tell you a lot about your user journey on your webpage. User dimensions & metrics (GA4) November 22, 2020. Define our strategy. To find our page referrer info, first go to Explore in the left-hand navigation. Tip 3: Get Acquainted. If another event for the same user is collected after a session timeout, a new ga_session_id will be assigned. Metrics are individual measurements of user. Google Analytics 4. You can start a path exploration with either a screen or an event. 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 Analytics in the campaign and traffic-source fields using the SDKs or tracking code. Also, Google is constantly changing the position of the ‘Configure’ tab. They are the primary indicators of performance and provide. See moreOct 26, 2023Google Analytics (GA4) - Dimensions and Metrics Cheat Sheet. A dimension provides context to a metric. Cohort means belong to the same group. Ecommerce. These dimensions are compatible with some but not all other dimensions and metrics. The most important event tracking dimensions and metrics for GA360 BigQuery export, like event category, event action, event label and unique events. . 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. Add Page Referrer to GA4 Exploration. The most important custom dimensions and metrics for GA360 BigQuery export, for different scopes like user, session, hit and product. As of writing, Google Analytics 4 has at least 165 dimensions across sixteen categories and 99 metrics across ten categories, making it one of the primary web. See the API schema documentation for documentation on custom dimensions and metrics. Create dimensions and metrics from event parameters and user properties so you can easily access data in reports and explorations. Wenn ein Parameter für mehrere Ereignisse registriert wurde, wird ihm in Analytics ein Dimensions- oder Messwertname zugewiesen, um so zwischen den Parametern zu unterscheiden. Events, event parameters and user properties are subject to the limits of the Google Analytics 4 property. They provide context to your metrics and allow you to analyze your data from different perspectives. [GA4] Latest app release overview; 35 of 76 [GA4] Measurement ID; 36 of 76 [GA4] Measurement Protocol; 37 of 76 [GA4] Metric; 38 of 76. Custom dimensions and metrics allow you to combine Analytics data with non-Analytics data, e. GA4 Entrances and ExitsThe recommended ecommerce parameters will be automatically collected into dimensions and metrics in Analytics available for reporting. Register custom dimensions and metrics. 5K. Event and Conversion TrackingWell and there also are custom dimensions. You can use the Compatible Fields section of the GA4 Dimensions & Metrics Explorer to verify whether certain dimensions and metrics are compatible. Events dimensions & metrics (GA4) How to query the most important events dimensions and metrics from the GA4 BigQuery export, like event date, timestamp, event name, event parameter key and different values: string, integer, float and double. This example query contains all following Google Analytics custom dimensions and metrics. Here's a sample request with the recommended fields:You cannot simply replicate GA3’s metrics and dimensions strategy. 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. Here are the distinctions: Custom Definitions – This is the area within Google Analytics where you can create custom dimensions or metrics. Support for UA & GA4. Pull 463 metrics and 618 dimensions directly from the GA4 API. How To Add Custom Dimensions & Metrics To GA4 Reports. For example if a custom metric with parameter name levels_unlocked is registered to a property, the Metadata response will contain customEvent:levels_unlocked. GA4 Exploration Techniques. There are some major differences between GA4 and UA when it comes to the data and metrics. CohortSpec: (Optional) An object containing specific cohort analysis settings, such as cohort size and date range. Example queries to retrieve the most important dimensions and metrics for the Google Analytics 4 (GA4) BigQuery export. 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. Custom dimensions and custom metrics are like default dimensions and metrics in your Analytics account, except you create them yourself. Measure anything that isn't captured in GA4's default metrics and dimensions. We’ll also cover example mapping, custom dimensions, and reporting. Source:. An additional field is_active_user will become available in the near future is available. GA3’s data model is based on sessions and page views, while GA4’s is based on events and parameters. More information on this object can be found in the GA4 documentation. For example: If you store the gender of signed-in users in a CRM system, you could combine. However, the implementation and configuration of. 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. However, the abandonment rate for this step is quite high at 82. Each row consists of DimensionValues and MetricValues for the columns in the report. In this tutorial we will create a similar table in BigQuery, to visualise it in Looker Studio afterwards. Conversions in Google Analytics. The Data API v1 provides several Core reporting methods to choose from: runReport This method returns a customized report of your Google Analytics event data. If only ‘standard’ ecommerce is measured: use the hits. . We recommend starting with the following parameters: A valid entry in the dateRanges field. It can be hard to make sense of the data in the BigQuery export tables. Under the 'PRIMARY DIMENSIONS' header, you can manage the metrics in the table header. Requests are limited to 8 dimensions within a nested request. Click Add metric to add a. In Universal Analytics, behavior metrics were included in almost every report. , audiences, explorations) that use the custom dimension or metric. Here’s a guide to GA4 explorations. The dimensions and metrics supported in the Analytics Data API queries. The request can have a maximum of 2 date ranges. 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. For example, the metric ‘Users’ is meaningless on its own and makes sense only when used together with a dimension like ‘Session source/medium. Event Scoped Custom Dimensions in GA4 – Tutorial #7 GA4 Metrics. Reports contain statistics derived from data collected by the Google Analytics tracking code. Users. 3. This example query contains all following Google Analytics goal conversions dimensions and metrics. 1. select * from -- change this to your google analytics 4 export location in bigquery `ga4bigquery. flat_event_params. By default: GA4 collects standard behaviors and metrics, like users, engaged sessions, and time per session. Only the. This dataset covers GSOD data between 1929 and present, collected from over 9000 stations. Strategy:Event Scoped Custom Dimensions in GA4 – Tutorial #7 GA4 Metrics. Analytics Data APIs take the same variables, such as Metrics, Dimensions, Segments and Date range. GA4 provides predictive analytics capabilities. Examine all dimensions and metrics that are. Users (Active Users) – Monitor traffic growth from campaigns. These dimensions and metrics are supported in Analytics Data API funnel reports. Following are the key differences between dimensions and metrics in GA4: #1. The cardinality of the data table that you see in a report via the GA4 user interface or data API is the total number of rows reported for the data table. Of course, like all things GA4, these are not exact replacements for Universal Analytics (UA). Conversions are to GA4 what Goals were to UA, they have decided to call them by a different name. In the Property column, click Data Streams. This example query contains all following Google Analytics event tracking dimensions and metrics. You can use them to collect and analyze data that Analytics doesn't automatically track. These “advanced reporting” features are weird at first. A lot of Google Analytics 4 dimensions and metrics can be derived straight from the tables without performing calculations on the data. Make sure you are in the correct account. Click the toggle in the nav bar to switch between the UA and GA4. Today, Google Data Studio new release includes the addition of user properties, custom dimensions & custom metrics fields for GA4 data sources. Custom Channel Groups are specified in an API report request. This article will help you make sense of the numbers and show you some of the most important GA4 metrics your agency should be tracking for client success. The best way to move Universal Analytics data to BigQuery is using Supermetrics. User-scoped dimensions—Imagine these as your "New User Detectors. Choice of dimensions and metrics: GA4 offers a larger number of acquisition dimensions than UA. It also now provides an event-scoped and item-scoped version of ecommerce metrics and dimensions. Dimensions are the characteristics or attributes of the data that you want to measure. If you see a 'CARDS' header on the right instead of a 'REPORT DATA' header, you are looking at an overview report, not a detail report. Working demos with actual data sent to Google Analytics. It's up to you to specify the event and parameter name and values. With a new dashboard, metrics, dimensions, and a new way of tracking, there will definitely be. 3. Custom dimensions and metrics enable you to report on information about your users and how they interact with your site or app. Make sure you are in the correct account. Cohort analysis. The recommended ecommerce parameters will be automatically collected into dimensions and metrics in Analytics available for reporting. Example queries to retrieve the most important dimensions and metrics for the Google Analytics 4 (GA4) BigQuery export. GA4 (Google Analytics 4) Metrics Tutorial with Free Google Analytics 4 Ebook; GA4 (Google Analytics 4) Custom Metrics Tutorial; What are Predictive Metrics in Google Analytics 4 (GA4) GA4 Ecommerce Conversion Rate – How to find and use it. GA4 provides access to far more custom dimensions and custom metrics. For more information on engagement rate, check out this page. You can also customize a report and create an exploration to include. See the following resources for similar information related to Google Analytics 4: For information about dimensions and metrics in Google Analytics 4, go to [GA4] Analytics dimensions and metrics. the first time a user reaches the bottom of each page (i. But in most cases you will need to query a larger period of time. flat_items. [GA4] Custom dimensions and metrics [GA4] Custom dimensions and metrics. Additionally, you’ll need to select your Google Analytics account, GA4 property, report date range, metrics, dimensions, and filtering and sorting arrangements. The metrics in GA4 can be broadly classified into two categories: Default metrics; Custom metrics; The default metrics can be further. Then, hit the colorful plus sign to start a new Exploration. [GA4] Custom dimensions and metrics; 3 of 20 [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;Whereas you can create up to 100 user-scoped custom dimensions in a GA4 360 property. 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. To opt out from adding these settings automatically, go to the Setup Assistant in the connected UA property. , payment method). 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. 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.