Google Analytics

Google Analytics tracks website traffic and user behavior, free for the vast majority of websites, and remains the most widely deployed web analytics tool globally by sheer installed base. Its current version, GA4, rebuilt the platform around event-based tracking similar in spirit to Mixpanel, a significant architectural shift from the page-view-centric model of older Google Analytics versions.

What Makes Google Analytics Stand Out

Free for the vast majority of websites and businesses regardless of traffic volume. Deep integration with Google Ads simplifies tracking advertising campaign performance and ROI

GA4's event-based model brings it conceptually closer to dedicated product analytics tools

Pricing and Plans

Google Analytics offers a free tier that provides meaningful value for individuals and small teams, with paid plans unlocking additional capabilities as needs grow.

Who Should Use Google Analytics

Google Analytics is best for teams and individuals who need website analytics capabilities and where free for the vast majority of websites and businesses regardless of traffic volume. It may not be the right fit when ga4's interface and data model represent a genuinely difficult transition for users accustomed to older universal analytics.

Verdict

Google Analytics delivers on its core promise as a website analytics tool. Google Analytics tracks website traffic and user behavior, free for the vast majority of websites, a... For teams evaluating website analytics options, Google Analytics is worth considering based on its specific strengths and how they align with your requirements.

Overall rating: 4.0 / 5

Google Analytics 4 (GA4) is the world's most widely deployed website analytics platform — tracking user behavior on billions of websites with zero direct cost to site owners, funded by Google's broader advertising ecosystem. The transition from Universal Analytics (UA) to GA4 in 2023 represented the most significant disruption in web analytics in over a decade, forcing millions of organizations to rebuild their measurement frameworks.

The GA4 Event Model

GA4's fundamental change from Universal Analytics is the shift from a session-based data model to an event-based model. In UA, every interaction was either a session (a visit), a pageview, or an event. In GA4, everything is an event — pageviews are events called "page_view," session starts are events called "session_start," and custom interactions are custom events with parameters.

This event model provides more flexibility for tracking complex user journeys across devices and platforms. An e-commerce checkout funnel is a series of events (add_to_cart, begin_checkout, purchase) rather than a series of pages, which maps more accurately to modern web application behavior where pages don't necessarily reload between steps.

Cross-Device Tracking and Identity

GA4 attempts to track users across devices using multiple identity methods: user IDs (when users are logged in), Google Signals (aggregated data from Google account holders), and device IDs (cookies). This cross-device modeling provides a more complete picture of the user journey but comes with significant caveats: in-app browser privacy restrictions, cookie consent requirements (especially under GDPR), and iOS's App Tracking Transparency have all reduced the accuracy of cross-device tracking across the industry.

For most sites, GA4's measurement is better than alternatives for cross-device journeys in theory but the actual data quality depends heavily on consent rates and authentication status.

Conversions and Goals

GA4 replaced UA's "Goals" with "Conversions" — events marked as conversion events in the GA4 interface. Any event can be marked as a conversion: completing a form, reaching a thank-you page, adding to cart, purchasing. Conversion tracking is the core bridge between analytics data and business value, and GA4's flexible conversion marking is more powerful than UA's goal-type constraints.

BigQuery integration (free) enables exporting all raw GA4 event data to BigQuery for custom analysis — a significant capability upgrade from UA that enables joining GA4 data with CRM data, running custom SQL queries, and building data pipelines that UA's sampling limitations prevented.

GA4 vs. Privacy-First Alternatives

GA4's cookie-based tracking faces increasing headwinds from browser privacy restrictions and consent requirements. Plausible Analytics, Fathom Analytics, and Umami offer cookie-free, GDPR-compliant analytics at lower data resolution but with simpler compliance requirements. For EU-focused sites with strict consent management needs, the overhead of GDPR-compliant GA4 implementation increasingly pushes teams toward privacy-first alternatives.

For most sites without significant EU traffic, GA4's free access to a powerful analytics platform remains the most pragmatic choice despite these limitations.

Overall rating: 4.0 / 5