How to work with the nested structure of Google Analytics 4 in BigQuery
GA4 exports data to BigQuery using a nested structure, so understanding repeated fields and the UNNEST function is essential for querying it properly.
GA4 exports data to BigQuery using a nested structure, so understanding repeated fields and the UNNEST function is essential for querying it properly.
These free Chrome SEO extensions can help you review meta tags, redirects, crawlability, keywords, and other key website elements more quickly.
Linking GA4 to BigQuery lets you export raw event data for SQL analysis, custom reporting, and deeper integration with other business data.
A sitemap helps search engines discover the most important URLs on a website more efficiently and is especially useful on large or poorly linked sites.
Cross-domain measurement in GA4 lets you track the same user across different domains as part of a single journey, improving attribution and session accuracy.
Pagination needs to be implemented carefully so search engines can crawl paginated URLs properly and continue discovering the content linked from them.
Custom dimensions and metrics in GA4 let you analyze additional data collected through event parameters and user properties beyond the platform’s standard fields.
Edge SEO makes it possible to implement technical SEO changes through a CDN, helping overcome platform limitations without modifying the website’s core code.
Tracking a single-page application in GA4 requires a different setup so virtual page changes are measured correctly as page views.
Faceted navigation can improve UX, but if it is not implemented carefully, it can create duplicate content, crawl inefficiencies, and other SEO issues.
Events are the foundation of GA4. Understanding the different event types helps you plan a cleaner and more effective measurement strategy.
Segments in Google Analytics let you isolate specific users, sessions, or events so you can analyze your data in a more focused way.