{"id":7717,"date":"2025-09-11T04:21:21","date_gmt":"2025-09-11T04:21:21","guid":{"rendered":"https:\/\/resizemyimg.com\/blog\/?p=7717"},"modified":"2025-09-11T04:33:59","modified_gmt":"2025-09-11T04:33:59","slug":"using-bigquery-with-ga4-practical-recipes-for-marketers","status":"publish","type":"post","link":"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/","title":{"rendered":"Using BigQuery with GA4: Practical Recipes for Marketers"},"content":{"rendered":"<p>Google Analytics 4 (GA4) represents a significant shift in how marketers collect, analyze, and utilize data. Unlike its predecessor, Universal Analytics, GA4 is entirely event-based, which provides more flexibility\u2014but also a steeper learning curve. When connected to <strong>Google BigQuery<\/strong>, GA4 unleashes a world of opportunity for marketers who want deeper insights, more advanced reporting, and automated workflows.<\/p>\n<p>This article introduces practical and easy-to-implement <em>BigQuery recipes<\/em> for marketers using GA4. Whether you&#8217;re trying to understand customer journeys, calculate lifetime value, or optimize campaign performance, these recipes will help you derive actionable insights without having to be a data scientist.<\/p>\n<h2>Why Use BigQuery with GA4?<\/h2>\n<p>GA4 provides basic dashboards, but the depth of data available in BigQuery is unmatched. By exporting your GA4 data to BigQuery, you get:<\/p>\n<ul>\n<li><strong>Full-fidelity data:<\/strong> Unlike sampled data in GA4\u2019s UI, BigQuery offers raw, unsampled data.<\/li>\n<li><strong>Event-level information:<\/strong> Analyze individual user actions to discover insights hidden by aggregated reports.<\/li>\n<li><strong>Custom analysis:<\/strong> Build reports and segments based on your business logic.<\/li>\n<li><strong>Advanced integrations:<\/strong> Combine GA4 data with CRM or ad data for full-funnel attribution.<\/li>\n<\/ul>\n<p>Before we dive into the actual queries, make sure you\u2019ve already linked your GA4 property to BigQuery\u2014a straightforward process from the GA4 admin panel.<\/p>\n<h2>1. User Lifetime Value (LTV)<\/h2>\n<p>Understanding how much revenue a user generates over a specific time period helps inform marketing spend decisions. Here\u2019s a basic recipe for calculating <strong>LTV over 90 days<\/strong> from the first interaction:<\/p>\n<pre>\nSELECT\n  user_pseudo_id,\n  MIN(event_timestamp) AS first_touch,\n  SUM(ecommerce.purchase_revenue) AS total_revenue_90_days\nFROM\n  `my_project.analytics_XXXXXX.events_*`\nWHERE\n  event_name = 'purchase'\n  AND _TABLE_SUFFIX BETWEEN FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 90 DAY))\n                          AND FORMAT_DATE('%Y%m%d', CURRENT_DATE())\nGROUP BY\n  user_pseudo_id\n<\/pre>\n<p>Customize the time window or logic as needed. For example, you can tag users from specific campaigns to evaluate campaign ROI.<\/p>\n<img loading=\"lazy\" decoding=\"async\" width=\"1080\" height=\"713\" src=\"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2026\/03\/macbook-pro-on-white-table-personalized-ecommerce-homepage-on-laptop-recommendation-feed-data-analytics-visualization-overlay.jpg\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2026\/03\/macbook-pro-on-white-table-personalized-ecommerce-homepage-on-laptop-recommendation-feed-data-analytics-visualization-overlay.jpg 1080w, https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2026\/03\/macbook-pro-on-white-table-personalized-ecommerce-homepage-on-laptop-recommendation-feed-data-analytics-visualization-overlay-300x198.jpg 300w, https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2026\/03\/macbook-pro-on-white-table-personalized-ecommerce-homepage-on-laptop-recommendation-feed-data-analytics-visualization-overlay-1024x676.jpg 1024w, https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2026\/03\/macbook-pro-on-white-table-personalized-ecommerce-homepage-on-laptop-recommendation-feed-data-analytics-visualization-overlay-575x380.jpg 575w, https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2026\/03\/macbook-pro-on-white-table-personalized-ecommerce-homepage-on-laptop-recommendation-feed-data-analytics-visualization-overlay-768x507.jpg 768w\" sizes=\"(max-width: 1080px) 100vw, 1080px\" \/>\n<h2>2. Session Reconstruction<\/h2>\n<p>GA4 no longer uses traditional sessions the way Universal Analytics did. If your business still relies on session-level metrics, you can re-create them with this recipe:<\/p>\n<pre>\nSELECT\n  user_pseudo_id,\n  event_bundle_sequence_id,\n  MIN(event_timestamp) AS session_start,\n  MAX(event_timestamp) AS session_end,\n  COUNT(*) AS total_events\nFROM\n  `my_project.analytics_XXXXXX.events_*`\nWHERE\n  _TABLE_SUFFIX BETWEEN '20240101' AND '20240131'\nGROUP BY\n  user_pseudo_id, event_bundle_sequence_id\n<\/pre>\n<p>This approximation uses a combination of <strong>event_bundle_sequence_id<\/strong>, which often correlates with sessions, and user ID. For stricter definitions, you might want to include <em>ga_session_id<\/em> if available.<\/p>\n<h2>3. Funnel Drop-off Analysis<\/h2>\n<p>Funnels are useful but limited in the GA4 interface. With BigQuery, you can generate them dynamically based on your needs. Let\u2019s simulate a simple eCommerce funnel:<\/p>\n<ol>\n<li>View Product<\/li>\n<li>Add to Cart<\/li>\n<li>Start Checkout<\/li>\n<li>Purchase<\/li>\n<\/ol>\n<pre>\nWITH funnel AS (\n  SELECT\n    user_pseudo_id,\n    ARRAY_AGG(event_name ORDER BY event_timestamp) AS events\n  FROM\n    `my_project.analytics_XXXXXX.events_*`\n  WHERE\n    event_name IN ('view_item', 'add_to_cart', 'begin_checkout', 'purchase')\n    AND _TABLE_SUFFIX BETWEEN '20240101' AND '20240131'\n  GROUP BY\n    user_pseudo_id\n)\nSELECT\n  COUNTIF('view_item' IN UNNEST(events)) AS viewed_product,\n  COUNTIF('add_to_cart' IN UNNEST(events)) AS added_to_cart,\n  COUNTIF('begin_checkout' IN UNNEST(events)) AS started_checkout,\n  COUNTIF('purchase' IN UNNEST(events)) AS purchased\nFROM\n  funnel\n<\/pre>\n<p>Visualizing this data in a funnel chart can help determine where users are dropping off and where improvements can be made.<\/p>\n<img loading=\"lazy\" decoding=\"async\" width=\"1080\" height=\"810\" src=\"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2025\/09\/brown-wooden-blocks-on-white-surface-ecommerce-funnel-conversion-rate-purchase-journey.jpg\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2025\/09\/brown-wooden-blocks-on-white-surface-ecommerce-funnel-conversion-rate-purchase-journey.jpg 1080w, https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2025\/09\/brown-wooden-blocks-on-white-surface-ecommerce-funnel-conversion-rate-purchase-journey-300x225.jpg 300w, https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2025\/09\/brown-wooden-blocks-on-white-surface-ecommerce-funnel-conversion-rate-purchase-journey-1024x768.jpg 1024w, https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2025\/09\/brown-wooden-blocks-on-white-surface-ecommerce-funnel-conversion-rate-purchase-journey-575x431.jpg 575w, https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2025\/09\/brown-wooden-blocks-on-white-surface-ecommerce-funnel-conversion-rate-purchase-journey-768x576.jpg 768w\" sizes=\"(max-width: 1080px) 100vw, 1080px\" \/>\n<h2>4. Acquisition Channel Performance<\/h2>\n<p>Breaking down performance by source\/medium is crucial for marketers. Here&#8217;s how you can get revenue per acquisition source:<\/p>\n<pre>\nSELECT\n  traffic_source.source,\n  traffic_source.medium,\n  COUNT(DISTINCT user_pseudo_id) AS users,\n  COUNTIF(event_name = 'purchase') AS purchases,\n  SUM(ecommerce.purchase_revenue) AS total_revenue\nFROM\n  `my_project.analytics_XXXXXX.events_*`\nWHERE\n  _TABLE_SUFFIX BETWEEN '20240101' AND '20240131'\nGROUP BY\n  traffic_source.source, traffic_source.medium\nORDER BY\n  total_revenue DESC\n<\/pre>\n<p>This recipe helps you answer questions like \u201cWhich channel drives the most high-value users?\u201d and \u201cWhich source has a high conversion rate but low revenue?\u201d<\/p>\n<h2>5. Identifying High-Intent Users<\/h2>\n<p>Some behaviors signal a higher purchase intent. Combining events can help identify high-quality leads. Here\u2019s how you can create a list of users who viewed a product, added it to cart, and returned within 3 days.<\/p>\n<pre>\nWITH events AS (\n  SELECT\n    user_pseudo_id,\n    event_name,\n    TIMESTAMP_MICROS(event_timestamp) AS event_time\n  FROM\n    `my_project.analytics_XXXXXX.events_*`\n  WHERE\n    event_name IN ('view_item', 'add_to_cart', 'session_start')\n    AND _TABLE_SUFFIX BETWEEN '20240101' AND '20240131'\n),\nbehavioral AS (\n  SELECT\n    user_pseudo_id,\n    MIN(IF(event_name = 'view_item', event_time, NULL)) AS view_time,\n    MIN(IF(event_name = 'add_to_cart', event_time, NULL)) AS cart_time,\n    MIN(IF(event_name = 'session_start', event_time, NULL)) AS return_time\n  FROM events\n  GROUP BY user_pseudo_id\n)\nSELECT *\nFROM behavioral\nWHERE\n  view_time IS NOT NULL\n  AND cart_time IS NOT NULL\n  AND return_time &gt; cart_time\n  AND TIMESTAMP_DIFF(return_time, cart_time, DAY) &lt;= 3\n<\/pre>\n<p>These insights can feed into remarketing strategies or a high-priority lead list for sales teams.<\/p>\n<h2>6. Custom Audiences for Ads<\/h2>\n<p>Once you\u2019ve identified important user segments, such as high-intent shoppers or loyal customers, you can export these to Google Ads for intelligent targeting. Here&#8217;s an example of extracting emails (hashed) for recent purchasers:<\/p>\n<pre>\nSELECT\n  user_pseudo_id,\n  user_properties.value.string_value AS email\nFROM\n  `my_project.analytics_XXXXXX.events_*`\nWHERE\n  event_name = 'purchase'\n  AND _TABLE_SUFFIX BETWEEN '20240101' AND '20240131'\n  AND user_properties.key = 'email'\n<\/pre>\n<p>Don&#8217;t forget to <strong>hash emails (SHA256)<\/strong> as per Google Ads requirements. You can use BigQuery\u2019s built-in <em>TO_HEX(SHA256(TO_BYTES(email)))<\/em> function for that.<\/p>\n<h2>Tips on Optimizing BigQuery Queries<\/h2>\n<p>Here are some optimization tips that will save time and cost:<\/p>\n<ul>\n<li><strong>Use partitioning:<\/strong> Always filter on <em>_TABLE_SUFFIX<\/em> to load only needed data.<\/li>\n<li><strong>Select only necessary columns:<\/strong> Avoid <em>SELECT *<\/em> to reduce processing cost.<\/li>\n<li><strong>Schedule queries:<\/strong> Automate reporting with scheduled queries and export results to Sheets or Data Studio.<\/li>\n<li><strong>Monitor usage:<\/strong> Keep an eye on the query execution data using the <a href=\"https:\/\/console.cloud.google.com\/bigquery\">BigQuery UI<\/a> or billing dashboard.<\/li>\n<\/ul>\n<h2>Final Thoughts<\/h2>\n<p>Putting GA4 and BigQuery together is like giving your marketing toolkit X-ray vision. You get data with rich context, historical depth, and the flexibility to build exactly the reports you need. Whether you\u2019re automating weekly performance dashboards or drilling into customer behavior at a granular level, BigQuery turns your GA4 data into an engine for better decision-making.<\/p>\n<p>Start with the recipes shared here, experiment with your business rules, and iterate. The more you explore, the more value you\u2019ll uncover. Happy querying!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google Analytics 4 (GA4) represents a significant shift in how marketers collect, analyze, and utilize data. Unlike its predecessor, Universal Analytics, GA4 is entirely event-based, which provides more flexibility\u2014but also a steeper learning curve. When connected to <strong>Google BigQuery<\/strong>, GA4 unleashes a world of opportunity for marketers who want deeper insights, more advanced reporting, and automated workflows. <\/p>\n<p class=\"read-more-container\"><a href=\"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/\" class=\"read-more button\">Read more<\/a><\/p>\n","protected":false},"author":91,"featured_media":7176,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-7717","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","generate-columns","tablet-grid-50","mobile-grid-100","grid-parent","grid-50","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Using BigQuery with GA4: Practical Recipes for Marketers<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Using BigQuery with GA4: Practical Recipes for Marketers\" \/>\n<meta property=\"og:description\" content=\"Google Analytics 4 (GA4) represents a significant shift in how marketers collect, analyze, and utilize data. Unlike its predecessor, Universal Analytics, GA4 is entirely event-based, which provides more flexibility\u2014but also a steeper learning curve. When connected to Google BigQuery, GA4 unleashes a world of opportunity for marketers who want deeper insights, more advanced reporting, and automated workflows. Read more\" \/>\n<meta property=\"og:url\" content=\"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/\" \/>\n<meta property=\"og:site_name\" content=\"Resize my Image Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/webfactoryltd\/\" \/>\n<meta property=\"article:published_time\" content=\"2025-09-11T04:21:21+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-09-11T04:33:59+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2025\/06\/laptop-computer-on-glass-top-table-sales-chart-ai-dashboard-data-analytics.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1080\" \/>\n\t<meta property=\"og:image:height\" content=\"769\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Jame Miller\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@webfactoryltd\" \/>\n<meta name=\"twitter:site\" content=\"@webfactoryltd\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Jame Miller\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/\"},\"author\":{\"name\":\"Jame Miller\",\"@id\":\"https:\/\/resizemyimg.com\/blog\/#\/schema\/person\/4bece8cd1b5bcd61a4e5dab002eb7dca\"},\"headline\":\"Using BigQuery with GA4: Practical Recipes for Marketers\",\"datePublished\":\"2025-09-11T04:21:21+00:00\",\"dateModified\":\"2025-09-11T04:33:59+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/\"},\"wordCount\":722,\"publisher\":{\"@id\":\"https:\/\/resizemyimg.com\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2025\/06\/laptop-computer-on-glass-top-table-sales-chart-ai-dashboard-data-analytics.jpg\",\"articleSection\":[\"Blog\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/\",\"url\":\"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/\",\"name\":\"Using BigQuery with GA4: Practical Recipes for Marketers\",\"isPartOf\":{\"@id\":\"https:\/\/resizemyimg.com\/blog\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2025\/06\/laptop-computer-on-glass-top-table-sales-chart-ai-dashboard-data-analytics.jpg\",\"datePublished\":\"2025-09-11T04:21:21+00:00\",\"dateModified\":\"2025-09-11T04:33:59+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/#primaryimage\",\"url\":\"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2025\/06\/laptop-computer-on-glass-top-table-sales-chart-ai-dashboard-data-analytics.jpg\",\"contentUrl\":\"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2025\/06\/laptop-computer-on-glass-top-table-sales-chart-ai-dashboard-data-analytics.jpg\",\"width\":1080,\"height\":769},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/resizemyimg.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Using BigQuery with GA4: Practical Recipes for Marketers\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/resizemyimg.com\/blog\/#website\",\"url\":\"https:\/\/resizemyimg.com\/blog\/\",\"name\":\"Resize my Image Blog\",\"description\":\"News, insights, tips&amp;tricks on image related business &amp; SaaS\",\"publisher\":{\"@id\":\"https:\/\/resizemyimg.com\/blog\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/resizemyimg.com\/blog\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/resizemyimg.com\/blog\/#organization\",\"name\":\"WebFactory Ltd\",\"url\":\"https:\/\/resizemyimg.com\/blog\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/resizemyimg.com\/blog\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2019\/12\/webfactory_icon.png\",\"contentUrl\":\"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2019\/12\/webfactory_icon.png\",\"width\":300,\"height\":300,\"caption\":\"WebFactory Ltd\"},\"image\":{\"@id\":\"https:\/\/resizemyimg.com\/blog\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/webfactoryltd\/\",\"https:\/\/x.com\/webfactoryltd\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/resizemyimg.com\/blog\/#\/schema\/person\/4bece8cd1b5bcd61a4e5dab002eb7dca\",\"name\":\"Jame Miller\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/resizemyimg.com\/blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/f60a3114f608fcfdd6b15a13f37f24b2?s=96&d=monsterid&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/f60a3114f608fcfdd6b15a13f37f24b2?s=96&d=monsterid&r=g\",\"caption\":\"Jame Miller\"},\"description\":\"I'm Jame Miller, a cybersecurity analyst and blogger. Sharing knowledge on online security, data protection, and privacy issues is what I do best.\",\"url\":\"https:\/\/resizemyimg.com\/blog\/author\/jamesm\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Using BigQuery with GA4: Practical Recipes for Marketers","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/","og_locale":"en_US","og_type":"article","og_title":"Using BigQuery with GA4: Practical Recipes for Marketers","og_description":"Google Analytics 4 (GA4) represents a significant shift in how marketers collect, analyze, and utilize data. Unlike its predecessor, Universal Analytics, GA4 is entirely event-based, which provides more flexibility\u2014but also a steeper learning curve. When connected to Google BigQuery, GA4 unleashes a world of opportunity for marketers who want deeper insights, more advanced reporting, and automated workflows. Read more","og_url":"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/","og_site_name":"Resize my Image Blog","article_publisher":"https:\/\/www.facebook.com\/webfactoryltd\/","article_published_time":"2025-09-11T04:21:21+00:00","article_modified_time":"2025-09-11T04:33:59+00:00","og_image":[{"width":1080,"height":769,"url":"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2025\/06\/laptop-computer-on-glass-top-table-sales-chart-ai-dashboard-data-analytics.jpg","type":"image\/jpeg"}],"author":"Jame Miller","twitter_card":"summary_large_image","twitter_creator":"@webfactoryltd","twitter_site":"@webfactoryltd","twitter_misc":{"Written by":"Jame Miller","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/#article","isPartOf":{"@id":"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/"},"author":{"name":"Jame Miller","@id":"https:\/\/resizemyimg.com\/blog\/#\/schema\/person\/4bece8cd1b5bcd61a4e5dab002eb7dca"},"headline":"Using BigQuery with GA4: Practical Recipes for Marketers","datePublished":"2025-09-11T04:21:21+00:00","dateModified":"2025-09-11T04:33:59+00:00","mainEntityOfPage":{"@id":"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/"},"wordCount":722,"publisher":{"@id":"https:\/\/resizemyimg.com\/blog\/#organization"},"image":{"@id":"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/#primaryimage"},"thumbnailUrl":"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2025\/06\/laptop-computer-on-glass-top-table-sales-chart-ai-dashboard-data-analytics.jpg","articleSection":["Blog"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/","url":"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/","name":"Using BigQuery with GA4: Practical Recipes for Marketers","isPartOf":{"@id":"https:\/\/resizemyimg.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/#primaryimage"},"image":{"@id":"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/#primaryimage"},"thumbnailUrl":"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2025\/06\/laptop-computer-on-glass-top-table-sales-chart-ai-dashboard-data-analytics.jpg","datePublished":"2025-09-11T04:21:21+00:00","dateModified":"2025-09-11T04:33:59+00:00","breadcrumb":{"@id":"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/#primaryimage","url":"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2025\/06\/laptop-computer-on-glass-top-table-sales-chart-ai-dashboard-data-analytics.jpg","contentUrl":"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2025\/06\/laptop-computer-on-glass-top-table-sales-chart-ai-dashboard-data-analytics.jpg","width":1080,"height":769},{"@type":"BreadcrumbList","@id":"https:\/\/resizemyimg.com\/blog\/using-bigquery-with-ga4-practical-recipes-for-marketers\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/resizemyimg.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Using BigQuery with GA4: Practical Recipes for Marketers"}]},{"@type":"WebSite","@id":"https:\/\/resizemyimg.com\/blog\/#website","url":"https:\/\/resizemyimg.com\/blog\/","name":"Resize my Image Blog","description":"News, insights, tips&amp;tricks on image related business &amp; SaaS","publisher":{"@id":"https:\/\/resizemyimg.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/resizemyimg.com\/blog\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/resizemyimg.com\/blog\/#organization","name":"WebFactory Ltd","url":"https:\/\/resizemyimg.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/resizemyimg.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2019\/12\/webfactory_icon.png","contentUrl":"https:\/\/resizemyimg.com\/blog\/wp-content\/uploads\/2019\/12\/webfactory_icon.png","width":300,"height":300,"caption":"WebFactory Ltd"},"image":{"@id":"https:\/\/resizemyimg.com\/blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/webfactoryltd\/","https:\/\/x.com\/webfactoryltd"]},{"@type":"Person","@id":"https:\/\/resizemyimg.com\/blog\/#\/schema\/person\/4bece8cd1b5bcd61a4e5dab002eb7dca","name":"Jame Miller","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/resizemyimg.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/f60a3114f608fcfdd6b15a13f37f24b2?s=96&d=monsterid&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/f60a3114f608fcfdd6b15a13f37f24b2?s=96&d=monsterid&r=g","caption":"Jame Miller"},"description":"I'm Jame Miller, a cybersecurity analyst and blogger. Sharing knowledge on online security, data protection, and privacy issues is what I do best.","url":"https:\/\/resizemyimg.com\/blog\/author\/jamesm\/"}]}},"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/resizemyimg.com\/blog\/wp-json\/wp\/v2\/posts\/7717"}],"collection":[{"href":"https:\/\/resizemyimg.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/resizemyimg.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/resizemyimg.com\/blog\/wp-json\/wp\/v2\/users\/91"}],"replies":[{"embeddable":true,"href":"https:\/\/resizemyimg.com\/blog\/wp-json\/wp\/v2\/comments?post=7717"}],"version-history":[{"count":1,"href":"https:\/\/resizemyimg.com\/blog\/wp-json\/wp\/v2\/posts\/7717\/revisions"}],"predecessor-version":[{"id":7738,"href":"https:\/\/resizemyimg.com\/blog\/wp-json\/wp\/v2\/posts\/7717\/revisions\/7738"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/resizemyimg.com\/blog\/wp-json\/wp\/v2\/media\/7176"}],"wp:attachment":[{"href":"https:\/\/resizemyimg.com\/blog\/wp-json\/wp\/v2\/media?parent=7717"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/resizemyimg.com\/blog\/wp-json\/wp\/v2\/categories?post=7717"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/resizemyimg.com\/blog\/wp-json\/wp\/v2\/tags?post=7717"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}