--- title: A Practical Introduction to Google Analytics | daily.dev description: Google Analytics 4 (GA4) provides comprehensive insights into user behavior through four key stages: Acquisition, Engagement, Monetization, and Retention. The... canonical: https://daily.dev/posts/a-practical-introduction-to-google-analytics-rmqrfokxk twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: A Practical Introduction to Google Analytics | daily.dev og:description: Google Analytics 4 (GA4) provides comprehensive insights into user behavior through four key stages: Acquisition, Engagement, Monetization, and Retention. The... og:url: https://daily.dev/posts/a-practical-introduction-to-google-analytics-rmqrfokxk og:image: https://api.daily.dev/og/posts/RMQRfOkxk.png og:image:alt: A Practical Introduction to Google Analytics og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # A Practical Introduction to Google Analytics **[Towards Data Science](https://daily.dev/sources/tds)** · 10 min read · 3 upvotes · 0 comments ## Summary Google Analytics 4 (GA4) provides comprehensive insights into user behavior through four key stages: Acquisition, Engagement, Monetization, and Retention. The platform uses dimensions (qualitative attributes like campaign source) and metrics (quantitative values like active users) to structure reports. Key reports include general overview for KPIs, acquisition for traffic sources, engagement for user interactions, monetization for revenue tracking, and retention for user loyalty analysis. The Google Analytics Data API enables programmatic data export using Python, requiring Google Cloud Console setup with service account credentials and property ID configuration. While the API offers powerful automation capabilities, users should be aware of potential data discrepancies and sampling limitations compared to the GA4 interface. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#python](https://daily.dev/tags/python), [#data-analysis](https://daily.dev/tags/data-analysis), [#google-bigquery](https://daily.dev/tags/google-bigquery), [#google-analytics](https://daily.dev/tags/google-analytics) [View this post on daily.dev](https://daily.dev/posts/a-practical-introduction-to-google-analytics-rmqrfokxk) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"A Practical Introduction to Google Analytics","url":"https://daily.dev/posts/a-practical-introduction-to-google-analytics-rmqrfokxk","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/a-practical-introduction-to-google-analytics-rmqrfokxk"},"datePublished":"2025-05-29T23:09:57.671Z","dateModified":"2025-05-29T23:10:21.738Z","description":"Google Analytics 4 (GA4) provides comprehensive insights into user behavior through four key stages: Acquisition, Engagement, Monetization, and Retention. 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