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Analytics
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Google Analytics

Google Analytics (GA4) is Google's free web and app analytics platform, used by over 28 million websites worldwide to track user behavior, measure conversions, and generate actionable marketing insights powered by machine learning.

Starting at$0
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Overview

Google Analytics 4 (GA4) is the current generation of Google's analytics platform, which fully replaced Universal Analytics in July 2024. It serves as the industry-standard web and app analytics solution, deployed on over 28 million active websites and representing roughly 85% market share among analytics tools.

GA4 fundamentally restructured how data is collected and processed compared to its predecessor. Instead of session-based tracking, GA4 uses an event-based data model where every user interactionβ€”page views, clicks, scrolls, purchasesβ€”is captured as an individual event with customizable parameters. This shift enables more flexible analysis and better cross-platform tracking between websites and mobile apps within a single property.

Core capabilities include real-time reporting dashboards, audience segmentation based on demographics and behavior, conversion tracking with customizable goals, funnel analysis showing where users drop off, and path exploration reports that visualize user journeys. The Explorations workspace provides advanced analysis techniques including free-form reports, cohort analysis, and segment overlap analysis.

One of GA4's most significant additions is its integration of Google's machine learning models. Predictive metrics such as purchase probability, churn probability, and predicted revenue allow marketers to build audiences of users likely to convert or leave within the next seven days. Anomaly detection automatically flags unusual changes in metrics, and GA4 surfaces automated insights that highlight trends and opportunities without manual analysis.

GA4 is designed with a privacy-centric approach, using data modeling and machine learning to fill gaps when cookies or identifiers are unavailable. It supports consent mode, which adjusts data collection behavior based on user consent status, and offers data retention controls that let administrators set retention periods between 2 and 14 months for user-level data. Server-side tagging through Google Tag Manager provides additional control over what data leaves the browser.

The platform integrates natively with Google Ads, Google Search Console, BigQuery, Looker Studio, and Google Merchant Center. BigQuery exportβ€”available for free to all GA4 usersβ€”enables raw event-level data analysis using SQL, a feature previously restricted to the paid GA360 tier. Third-party integrations are supported through the GA4 Measurement Protocol API and Data API.

GA4 360, the enterprise tier available through the Google Marketing Platform, extends the free version with higher data limits (up to 125 million events per month versus 10 million for free), 50 custom dimensions instead of 25, sub-property and roll-up property support, data-driven attribution modeling, and a guaranteed SLA with dedicated support. GA4 360 pricing is negotiated per contract and typically starts around $50,000 per year, scaling with data volume.

As of early 2026, GA4 continues to receive significant updates, including enhanced integration with Google's AI tools, improved e-commerce tracking templates, expanded consent mode v2 support for EU compliance, and refined cross-device measurement using Google Signals.

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Key Features

  • β€’Event-based data collection model
  • β€’Real-time user activity monitoring
  • β€’Audience segmentation and demographics
  • β€’Conversion tracking and goal setup
  • β€’Funnel and path exploration reports
  • β€’Predictive metrics (purchase probability, churn probability, predicted revenue)
  • β€’Automated insights powered by machine learning
  • β€’BigQuery export for raw data analysis
  • β€’Cross-platform web and app tracking
  • β€’Google Ads integration and remarketing audiences
  • β€’Search Console integration for organic search data
  • β€’Consent mode for privacy compliance
  • β€’Server-side tagging support via Google Tag Manager
  • β€’Custom dimensions, metrics, and calculated metrics
  • β€’Explorations workspace with free-form, cohort, and segment overlap analysis
  • β€’Data API and Measurement Protocol for programmatic access
  • β€’DebugView for real-time event validation

Pricing Plans

Google Analytics 4 (Free)

$0

  • βœ“Up to 10 million events per month
  • βœ“25 custom dimensions and 25 custom metrics
  • βœ“BigQuery export for raw event data
  • βœ“Real-time reporting and standard reports
  • βœ“Explorations workspace with advanced analysis
  • βœ“Predictive audiences and automated insights
  • βœ“Google Ads and Search Console integration
  • βœ“Data retention up to 14 months
  • βœ“Consent mode support

Google Analytics 360 (Enterprise)

Starting ~$50,000/year

  • βœ“Up to 125 million events per month
  • βœ“50 custom dimensions and 50 custom metrics
  • βœ“Sub-properties and roll-up properties
  • βœ“Data-driven attribution modeling
  • βœ“Guaranteed SLA with dedicated support
  • βœ“Advanced data freshness (typically under 1 hour)
  • βœ“Unsampled explorations
  • βœ“Organization-level management
  • βœ“Priority access to new features
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Pros & Cons

βœ“ Pros

  • βœ“Free tier is extremely capable, including BigQuery export that was previously a paid-only feature
  • βœ“Deep native integration with Google Ads, Search Console, and the broader Google ecosystem
  • βœ“Machine learning-powered predictive audiences and automated insights reduce manual analysis effort
  • βœ“Event-based data model is more flexible than the legacy session-based approach
  • βœ“Cross-platform tracking unifies web and mobile app data in a single property
  • βœ“Massive community and ecosystem with extensive documentation, courses, and third-party tool support
  • βœ“BigQuery export enables SQL-based analysis on raw event-level data at no additional cost

βœ— Cons

  • βœ—Significant learning curve for users migrating from Universal Analytics due to completely different data model and UI
  • βœ—Data sampling applies to explorations on the free tier when datasets are large, which can skew results for high-traffic sites
  • βœ—Data retention is limited to a maximum of 14 months for user-level data, requiring BigQuery export for longer historical analysis
  • βœ—Real-time reporting and data processing can have delays of 24-48 hours for standard reports
  • βœ—Privacy concerns exist as data is processed on Google's servers, which may conflict with strict data sovereignty requirements
  • βœ—Limited customization of standard reports compared to dedicated business intelligence tools
  • βœ—Consent mode and cookie restrictions can result in modeled data rather than observed data, reducing precision in privacy-regulated regions

Frequently Asked Questions

How much does Google Analytics cost?+

Google Analytics pricing starts at $0. They offer 2 pricing tiers.

What are the main features of Google Analytics?+

Google Analytics includes Event-based data collection model, Real-time user activity monitoring, Audience segmentation and demographics and 14 other features. Google Analytics (GA4) is Google's free web and app analytics platform, used by over 28 million websites worldwide to track user behavior, measure con...

What are alternatives to Google Analytics?+

Popular alternatives to Google Analytics include [object Object], [object Object], [object Object], [object Object], [object Object] and 1 others. Each offers different features and pricing models.
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