[GA4] Analytics Dimensions and Metrics: A Comprehensive Guide Posted on December 5, 2024December 5, 2024 By Sourabh Kumar Getting your Trinity Audio player ready... Spread the love Understanding dimensions and metrics is crucial for extracting actionable insights from Google Analytics 4 (GA4). These core components structure every report in GA4, providing both qualitative and quantitative perspectives on user behavior. Dimensions describe the attributes of your data, while metrics quantify these attributes. This blog explores dimensions and metrics, their valid combinations, and how calculations and attribution models enhance reporting in GA4. What Are Dimensions and Metrics in GA4? Dimensions Dimensions are attributes or descriptive labels in your data.Examples: City: Identifies the city where the user originated (e.g., “Chennai” or “Bengaluru”). Page URL: Specifies the URL of the visited page. Country : Identifies the country where the Active users originated Metrics Metrics are quantitative measurements used for analysis.Examples: Active User : The total number of active users. Sessions: The total number of user sessions. Pages/Session: The average number of pages viewed per session. Dimensions and Metrics in GA4 Reports Structure in GA4 Reports GA4 organizes reports using tables where: Dimensions are rows. Metrics are columns. Example 1: Single Dimension with Metrics DimensionMetric: SessionsMetric: Pages/SessionTokyo8,0003.65Paris6,0004.12 Adding Secondary Dimensions Adding a secondary dimension refines your data analysis. Example 2: City and Device Combination Dimension: CityDimension: DeviceMetric: SessionsMetric: Pages/SessionTokyoMobile5,0003.2TokyoDesktop3,0004.8ParisMobile4,0004.0 Valid Dimension-Metric Combinations Each dimension and metric pair must share the same scope. User-level scope: Metrics like Active Users work with dimensions like User Type. Session-level scope: Metrics like Sessions pair with dimensions like Source or Medium. Hit-level scope: Metrics like Pageviews align with hit-level dimensions like Page Title. How Metrics Are Calculated in GA4 GA4 calculates metrics in two ways: Overview Totals Example: Total pageviews across all users. Qualified by Dimensions Example: Pages/session broken down by City. Example 3: Time on Site Calculation User TypeLanguageAvg Time On SiteAll UsersAll4:20New UsersEnglish5:05Returning UsersSpanish6:15 Also Read: How to Find New User and Returning User in GA4 ? Attribution Models in GA4 GA4 uses distinct attribution models to assign values to metrics based on specific goals and user actions. 1. Per Request Attribution Tracks metrics/dimensions for each user action. Example: Analyzing the page URI for every request. 2. Page Value Attribution Assigns value to a page based on forward-looking goals or revenue. Example 4: Page Value Attribution PageRevenue/Goal ValueHome$50 + Goal 1Product$30 + Goal 1Cart$20Thank You$0 3. Site Search Attribution Attributes value to the last search term before a conversion. Example 5: Site Search Attribution Search TermRevenue/Goal Value“Shoes”$15“Bags”$25 Key Takeaways Dimensions provide descriptive context, while metrics measure activity quantitatively. Ensure valid dimension-metric pairings by matching scopes (e.g., session-level or hit-level). Attribution models like Page Value Attribution and Site Search Attribution help assign specific value to user actions. Download QR 🡻 Google Analytics
Google Analytics Returning User in GA 4 Posted on July 2, 2023July 3, 2023 Spread the love Spread the love How to see Returning user in GA 4 Go to Home screenshot below: Click on Report Screenshot After this click on Retention Finally Returning user in GA 4 Related Post: What is Engaged Sessions in GA4 ? All About Google Analytics 4 Home Page Features Download QR… Read More
All About GA4 User Acquisition Cohorts Posted on December 7, 2024December 7, 2024 Spread the love Spread the love Cohort exploration is a powerful analytics method that allows businesses to gain insights into the behavior and performance of groups of users (cohorts) that share common characteristics. By analyzing cohorts, you can better understand user retention, acquisition trends, and how changes to your app or website affect… Read More
Google Analytics Understanding Life cycle Collection Google Analytics 4 Posted on July 6, 2023July 6, 2023 Spread the love Spread the love From acquisition to retention easily understand complete customer funnel. With help of Life cycle collection website or app owner understand, How user use our website or application In other word we can say that User collection, which shows you information about your users. By Default Report Life… Read More