{"id":14793,"date":"2025-12-29T13:53:55","date_gmt":"2025-12-29T13:53:55","guid":{"rendered":"https:\/\/e-dialog.group\/blog\/ga4-fundamentals-for-campaign-managers\/"},"modified":"2026-02-27T15:44:59","modified_gmt":"2026-02-27T15:44:59","slug":"ga4-fundamentals-for-campaign-managers","status":"publish","type":"post","link":"https:\/\/e-dialog.group\/en\/blog\/ga4-fundamentals-for-campaign-managers\/","title":{"rendered":"GA4 Fundamentals for Campaign Managers"},"content":{"rendered":"<div id=\"basic-content-block_c131d6ca31550dc36fa036c87cf57ff4\" class=\"basic-content block block--basic-content block--no-margin\" data-title=\"\">\n  <div class=\"basic-content__content content\">\n    <p><strong>In this article, you will learn how to effectively use the most important metrics and dimensions in Google Analytics 4 (GA4) to better analyze your campaigns and understand your data.<\/strong><\/p>\n<p>A crucial difference between the new features of <a href=\"https:\/\/e-dialog.group\/en\/analytics\/google-analytics\/\">Google Analytics 4<\/a> compared to Universal Analytics is the distinction between Reports and Explorations. <strong>Reports<\/strong> are predefined views that display basic KPIs such as traffic and interactions. These are excellent for a regular overview of business development. <\/p>\n<p>For deeper analyses, however, <strong>Explorations<\/strong> offers a collection of advanced analysis tools that enable companies to gain detailed insights into their users&rsquo; behavior.<\/p>\n<p>To evaluate campaigns in GA4, it is important to use the correct <strong>metrics<\/strong>. The most important metrics for (programmatic) campaigns include: <\/p>\n  <\/div>\n<\/div>  <div id=\"small-ul-block_4d0e1d073545743b66249861502e703b\" class=\"small-ul block block--small-ul block--no-margin\" data-title=\"\">\n    <ul class=\"small-ul__content content\">\n              <li class=\"content__li li\">\n                      <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\">\n              <circle fill=\"#0045a5\" cx=\"12\" cy=\"12\" r=\"11.77\"><\/circle>\n              <polyline fill=\"none\" stroke=\"#fff\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" points=\"18 7.25 11 16.75 6 12.75\"><\/polyline>\n            <\/svg>\n            <strong>Sessions:<\/strong> The number of sessions initiated on your website or app.                  <\/li>\n              <li class=\"content__li li\">\n                      <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\">\n              <circle fill=\"#0045a5\" cx=\"12\" cy=\"12\" r=\"11.77\"><\/circle>\n              <polyline fill=\"none\" stroke=\"#fff\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" points=\"18 7.25 11 16.75 6 12.75\"><\/polyline>\n            <\/svg>\n            <strong>Engaged Sessions:<\/strong> The number of sessions that lasted longer than 10 seconds or included a conversion or multiple page views.                  <\/li>\n              <li class=\"content__li li\">\n                      <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\">\n              <circle fill=\"#0045a5\" cx=\"12\" cy=\"12\" r=\"11.77\"><\/circle>\n              <polyline fill=\"none\" stroke=\"#fff\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" points=\"18 7.25 11 16.75 6 12.75\"><\/polyline>\n            <\/svg>\n            <strong>Engagement Rate:<\/strong> The ratio of engaged sessions to total sessions.                  <\/li>\n              <li class=\"content__li li\">\n                      <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\">\n              <circle fill=\"#0045a5\" cx=\"12\" cy=\"12\" r=\"11.77\"><\/circle>\n              <polyline fill=\"none\" stroke=\"#fff\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" points=\"18 7.25 11 16.75 6 12.75\"><\/polyline>\n            <\/svg>\n            <strong>Bounce Rate:<\/strong> The percentage of sessions with no interactions.                  <\/li>\n              <li class=\"content__li li\">\n                      <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\">\n              <circle fill=\"#0045a5\" cx=\"12\" cy=\"12\" r=\"11.77\"><\/circle>\n              <polyline fill=\"none\" stroke=\"#fff\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" points=\"18 7.25 11 16.75 6 12.75\"><\/polyline>\n            <\/svg>\n            <strong>Events per Session:<\/strong> The average number of events per session.                  <\/li>\n          <\/ul>\n  <\/div>\n<div id=\"basic-content-block_8e6206ca75e9c99d67ade315509edd69\" class=\"basic-content block block--basic-content\" data-title=\"\">\n  <div class=\"basic-content__content content\">\n    <p>These metrics help measure user interaction and engagement and optimize campaigns more effectively. However, it is also very important to combine the right dimensions with these metrics. <\/p>\n<h4>Which dimensions should be selected in Explore to display the correct data (for you)?<\/h4>\n<p>Firstly, it is crucial what scope the respective dimension has. Based on this, some dimensions are prefixed so that you can see where the data belongs. <\/p>\n  <\/div>\n<\/div><div id=\"image-fullscreen-block_a02b2a6aba8e4c785852b9a3dc3e20c5\" class=\"image-fullscreen block block--image-fullscreen block--no-margin\" data-title=\"\">\n  <div class=\"image-fullscreen__content content\">\n    <img loading=\"lazy\" decoding=\"async\" width=\"1388\" height=\"696\" src=\"https:\/\/e-dialog.group\/wp-content\/uploads\/2025\/12\/Screenshot_1.png\" class=\"content__img img img--desktop\" alt=\"Scopes GA4\" srcset=\"https:\/\/e-dialog.group\/wp-content\/uploads\/2025\/12\/Screenshot_1.png 1388w, https:\/\/e-dialog.group\/wp-content\/uploads\/2025\/12\/Screenshot_1-300x150.png 300w, https:\/\/e-dialog.group\/wp-content\/uploads\/2025\/12\/Screenshot_1-1024x513.png 1024w, https:\/\/e-dialog.group\/wp-content\/uploads\/2025\/12\/Screenshot_1-768x385.png 768w\" sizes=\"auto, (max-width: 1388px) 100vw, 1388px\">    <img loading=\"lazy\" decoding=\"async\" width=\"1388\" height=\"696\" src=\"https:\/\/e-dialog.group\/wp-content\/uploads\/2025\/12\/Screenshot_1.png\" class=\"content__img img img--mobile\" alt=\"Scopes GA4\" srcset=\"https:\/\/e-dialog.group\/wp-content\/uploads\/2025\/12\/Screenshot_1.png 1388w, https:\/\/e-dialog.group\/wp-content\/uploads\/2025\/12\/Screenshot_1-300x150.png 300w, https:\/\/e-dialog.group\/wp-content\/uploads\/2025\/12\/Screenshot_1-1024x513.png 1024w, https:\/\/e-dialog.group\/wp-content\/uploads\/2025\/12\/Screenshot_1-768x385.png 768w\" sizes=\"auto, (max-width: 1388px) 100vw, 1388px\">  <\/div>\n<\/div><div id=\"basic-content-block_a3d21e655192345a65d52e43dfc00a6d\" class=\"basic-content block block--basic-content\" data-title=\"\">\n  <div class=\"basic-content__content content\">\n    <p>You can find out more about this <a href=\"https:\/\/support.google.com\/analytics\/answer\/11080067#zippy=%2Cthemen-in-diesem-artikel%2Cin-this-article\">here<\/a> and in <a href=\"https:\/\/support.google.com\/analytics\/answer\/14731736?hl=en&amp;ref_topic=13818299\">this Google support article<\/a>.<\/p>\n<p>Secondly, we will also need different dimensions depending on whether <strong>Auto-Tagging<\/strong> or <strong>manual tagging<\/strong> (UTMs) is used. Auto-tagging allows the use of specific dimensions from tools like <a href=\"https:\/\/e-dialog.group\/en\/google-sales-partner\/google-display-video-360\/\">DV360<\/a> or <a href=\"https:\/\/e-dialog.group\/en\/google-sales-partner\/campaign-manager-360\/\">CM360<\/a>, while with manual tagging, campaign and source information are defined by the UTMs used. <\/p>\n<p>Choosing the right dimensions and combining them in GA4 is crucial for visualizing data correctly. It is very important which dimension we choose, otherwise, we cannot visualize the correct key figures. <\/p>\n<p><a href=\"https:\/\/support.google.com\/analytics\/answer\/14264492?hl=en&amp;sjid=13967193615898287626-NC&amp;mkt_tok=OTE3LVpNTC05ODAAAAGYoz-o-3FKdQi0eNhmcaCjfFwCz2MAAYRDl0zukhI9JsM4kxyPnIMA6U3icQ8hdOiSR_d_GOK8rS0VZz2K3-XLPzO0KHjrjR2XvZkxIQ\">Here is a useful link from Google<\/a> explaining session-based dimensions and metrics.<\/p>\n<p>Example: If we want to display session-based data (metrics), we must choose session-based dimensions. These should not be combined with event- or user-based dimensions or metrics. <\/p>\n<p>It is also important whether we use auto-tagging or manual tagging (UTMs) in our campaigns, as this also determines which dimensions must be selected.<\/p>\n  <\/div>\n<\/div><div id=\"basic-content-block_e5a2653ac532e8a87fe94369280102ff\" class=\"basic-content block block--basic-content block--no-margin\" data-title=\"\">\n  <div class=\"basic-content__content content\">\n    <h4>Here are some examples of session-scope dimensions when:<\/h4>\n<p><strong>Auto-Tagging<\/strong> is used (we can use DV360 or CM360 dimensions if the tools are connected to GA4. This is not an option for manually tagged campaigns):<\/p>\n  <\/div>\n<\/div>  <div id=\"small-ul-block_559701d4992036977c593a6387255e3c\" class=\"small-ul block block--small-ul\" data-title=\"\">\n    <ul class=\"small-ul__content content\">\n              <li class=\"content__li li\">\n                      <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\">\n              <circle fill=\"#0045a5\" cx=\"12\" cy=\"12\" r=\"11.77\"><\/circle>\n              <polyline fill=\"none\" stroke=\"#fff\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" points=\"18 7.25 11 16.75 6 12.75\"><\/polyline>\n            <\/svg>\n            Session source platform (e.g., DV360)                  <\/li>\n              <li class=\"content__li li\">\n                      <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\">\n              <circle fill=\"#0045a5\" cx=\"12\" cy=\"12\" r=\"11.77\"><\/circle>\n              <polyline fill=\"none\" stroke=\"#fff\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" points=\"18 7.25 11 16.75 6 12.75\"><\/polyline>\n            <\/svg>\n            Session campaign or Session DV360 campaign name                  <\/li>\n              <li class=\"content__li li\">\n                      <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\">\n              <circle fill=\"#0045a5\" cx=\"12\" cy=\"12\" r=\"11.77\"><\/circle>\n              <polyline fill=\"none\" stroke=\"#fff\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" points=\"18 7.25 11 16.75 6 12.75\"><\/polyline>\n            <\/svg>\n            Session DV360 insertion order name                  <\/li>\n              <li class=\"content__li li\">\n                      <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\">\n              <circle fill=\"#0045a5\" cx=\"12\" cy=\"12\" r=\"11.77\"><\/circle>\n              <polyline fill=\"none\" stroke=\"#fff\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" points=\"18 7.25 11 16.75 6 12.75\"><\/polyline>\n            <\/svg>\n            Session DV360 line item name                  <\/li>\n              <li class=\"content__li li\">\n                      <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\">\n              <circle fill=\"#0045a5\" cx=\"12\" cy=\"12\" r=\"11.77\"><\/circle>\n              <polyline fill=\"none\" stroke=\"#fff\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" points=\"18 7.25 11 16.75 6 12.75\"><\/polyline>\n            <\/svg>\n            Session DV360 creative name                  <\/li>\n          <\/ul>\n  <\/div>\n<div id=\"basic-content-block_4959cb9a8dfb513d184b943a6a6b06e3\" class=\"basic-content block block--basic-content block--no-margin\" data-title=\"\">\n  <div class=\"basic-content__content content\">\n    <p><strong>Manual Tagging<\/strong> is used:<\/p>\n  <\/div>\n<\/div>  <div id=\"small-ul-block_cc9f8a0e89a3895396964d75107da63d\" class=\"small-ul block block--small-ul\" data-title=\"\">\n    <ul class=\"small-ul__content content\">\n              <li class=\"content__li li\">\n                      <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\">\n              <circle fill=\"#0045a5\" cx=\"12\" cy=\"12\" r=\"11.77\"><\/circle>\n              <polyline fill=\"none\" stroke=\"#fff\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" points=\"18 7.25 11 16.75 6 12.75\"><\/polyline>\n            <\/svg>\n            Session campaign or Session manual campaign name (=utm_campaign)                  <\/li>\n              <li class=\"content__li li\">\n                      <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\">\n              <circle fill=\"#0045a5\" cx=\"12\" cy=\"12\" r=\"11.77\"><\/circle>\n              <polyline fill=\"none\" stroke=\"#fff\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" points=\"18 7.25 11 16.75 6 12.75\"><\/polyline>\n            <\/svg>\n            Session source \/ medium (=utm_source, utm_medium)                  <\/li>\n              <li class=\"content__li li\">\n                      <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\">\n              <circle fill=\"#0045a5\" cx=\"12\" cy=\"12\" r=\"11.77\"><\/circle>\n              <polyline fill=\"none\" stroke=\"#fff\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" points=\"18 7.25 11 16.75 6 12.75\"><\/polyline>\n            <\/svg>\n            Session manual ad content (=utm_content)                  <\/li>\n              <li class=\"content__li li\">\n                      <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\">\n              <circle fill=\"#0045a5\" cx=\"12\" cy=\"12\" r=\"11.77\"><\/circle>\n              <polyline fill=\"none\" stroke=\"#fff\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" points=\"18 7.25 11 16.75 6 12.75\"><\/polyline>\n            <\/svg>\n            Session manual term (=utm_term)                  <\/li>\n          <\/ul>\n  <\/div>\n<div id=\"basic-content-block_d52190f9dbac61f1d6c99868a5396b54\" class=\"basic-content block block--basic-content block--no-margin\" data-title=\"\">\n  <div class=\"basic-content__content content\">\n    <h3>How GA4 aims to improve data quality<\/h3>\n<p>Despite the correct selection and combination of dimensions and metrics, GA4 may not display the correct data. Of course, this can also be due to incorrect configuration, but assuming everything is configured correctly, GA4 can still have data gaps. <\/p>\n<p>However, they are constantly working to improve data quality. Here are the most important measures they implemented in 2024 to avoid inconsistencies in the system. <\/p>\n<h4>New measures to improve data quality<\/h4>\n<p><strong>Aggregate Identifiers:<\/strong> Google will introduce aggregated identifiers to ensure reporting accuracy when Google Analytics cannot automatically retrieve campaign information from ads. These identifiers help correctly attribute data and avoid misunderstandings. <\/p>\n<p><strong>Making data presentation clearer:<\/strong> Google is working on a clearer presentation of data to minimize two common problems:<\/p>\n  <\/div>\n<\/div>  <div id=\"small-ul-block_248a3cd100a3066822d11f63dcd183ef\" class=\"small-ul block block--small-ul\" data-title=\"\">\n    <ul class=\"small-ul__content content\">\n              <li class=\"content__li li\">\n                      <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\">\n              <circle fill=\"#0045a5\" cx=\"12\" cy=\"12\" r=\"11.77\"><\/circle>\n              <polyline fill=\"none\" stroke=\"#fff\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" points=\"18 7.25 11 16.75 6 12.75\"><\/polyline>\n            <\/svg>\n            <strong>Over-attribution of Direct Traffic:<\/strong> A common problem in GA4 is that the system incorrectly attributes traffic as &ldquo;Direct&rdquo; when data processing takes longer. This can lead to erroneous analysis results. To address this, a new label &ldquo;Data not available&rdquo; will be introduced, indicating when data has not yet been processed, instead of falsely attributing it to direct traffic.                    <\/li>\n              <li class=\"content__li li\">\n                      <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\">\n              <circle fill=\"#0045a5\" cx=\"12\" cy=\"12\" r=\"11.77\"><\/circle>\n              <polyline fill=\"none\" stroke=\"#fff\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" points=\"18 7.25 11 16.75 6 12.75\"><\/polyline>\n            <\/svg>\n            <strong>Misattribution to Organic Traffic:<\/strong> Another problem occurs when GA4 cannot accurately determine whether traffic originates from a campaign or organic sources. This can happen particularly when user consents are missing or data from advertising platforms cannot be fully retrieved. In such cases, traffic will henceforth be categorized as &ldquo;(not set)&rdquo; to correct these misattributions.                    <\/li>\n          <\/ul>\n  <\/div>\n<div id=\"basic-content-block_40fc320baed8acece70448a6b5ff0a02\" class=\"basic-content block block--basic-content\" data-title=\"\">\n  <div class=\"basic-content__content content\">\n    <h3>Conclusion<\/h3>\n<p><a href=\"https:\/\/e-dialog.group\/en\/analytics\/google-analytics\/\">Google Analytics<\/a> 4 is a powerful tool that not only helps companies better understand user behavior but also supports marketing strategies with data-driven insights. The ability to gain deeper insights through the right metrics and dimensions enables more precise analysis and optimization of campaigns. Even though there are still some challenges, such as the incorrect attribution of traffic, Google is continuously working to improve data quality and presentation to enable users to perform even clearer analyses. With the correct application of GA4, companies can increase their long-term success and grow purposefully.   <\/p>\n  <\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Google Analytics 4 (GA4) is the latest version of Google&#8217;s analytics platform, providing deeper insights into user behavior on websites and apps. GA4 is constantly being developed further, and it can sometimes be difficult to stay up-to-date with the continuous changes. This makes it all the more important to understand the basic functions and reporting dimensions that help campaign managers purposefully analyze the performance of their advertising measures. We explain what to look out for in this article.   <\/p>\n","protected":false},"author":4,"featured_media":14286,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[445],"channel":[459],"goal":[463,466],"technology":[36],"c-year":[7],"class_list":["post-14793","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","channel-web","goal-digital-strategy","goal-performance-marketing","technology-google-analytics","c-year-7"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>GA4 Fundamentals for Campaign Managers - e-dialog<\/title>\n<meta name=\"description\" content=\"How campaign managers can effectively use the key metrics and dimensions in Google Analytics 4 (GA4) to better analyze their campaigns and understand their data.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/e-dialog.group\/en\/blog\/ga4-fundamentals-for-campaign-managers\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GA4 Fundamentals for Campaign Managers\" \/>\n<meta property=\"og:description\" content=\"How campaign managers can effectively use the key metrics and dimensions in Google Analytics 4 (GA4) to better analyze their campaigns and understand their data.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/e-dialog.group\/en\/blog\/ga4-fundamentals-for-campaign-managers\/\" \/>\n<meta property=\"og:site_name\" content=\"e-dialog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/edialog.group\" \/>\n<meta property=\"article:published_time\" content=\"2025-12-29T13:53:55+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-02-27T15:44:59+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/e-dialog.group\/wp-content\/uploads\/2025\/11\/Reporting-3_processed-e1767014404465.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1376\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Markus Widmer\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Markus Widmer\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/e-dialog.group\/en\/blog\/ga4-fundamentals-for-campaign-managers\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/e-dialog.group\/en\/blog\/ga4-fundamentals-for-campaign-managers\/\"},\"author\":{\"name\":\"Markus Widmer\",\"@id\":\"https:\/\/e-dialog.group\/en\/#\/schema\/person\/cb85b2ef7fe1d77334ccc4e0888ba566\"},\"headline\":\"GA4 Fundamentals for Campaign Managers\",\"datePublished\":\"2025-12-29T13:53:55+00:00\",\"dateModified\":\"2026-02-27T15:44:59+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/e-dialog.group\/en\/blog\/ga4-fundamentals-for-campaign-managers\/\"},\"wordCount\":5,\"publisher\":{\"@id\":\"https:\/\/e-dialog.group\/en\/#organization\"},\"image\":{\"@id\":\"https:\/\/e-dialog.group\/en\/blog\/ga4-fundamentals-for-campaign-managers\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/e-dialog.group\/wp-content\/uploads\/2025\/11\/Reporting-3_processed-e1767014404465.jpg\",\"articleSection\":[\"Analytics\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/e-dialog.group\/en\/blog\/ga4-fundamentals-for-campaign-managers\/\",\"url\":\"https:\/\/e-dialog.group\/en\/blog\/ga4-fundamentals-for-campaign-managers\/\",\"name\":\"GA4 Fundamentals for Campaign Managers - 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