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Google Analytics

Google Analytics

Web Analytics & Marketing MeasurementProduct· part of Googleanalytics.google.com

Free, enterprise-grade web and app analytics deeply integrated with Google's advertising ecosystem, enabling marketers to measure, attribute, and optimize performance across channels.

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Last updated Aug 22, 2026 by the ATDb Editorial Team · Connections updated Aug 24, 2026

Founded
2005
HQ
Mountain View, California, United States
Parent
Google
Connections
619

At a glance

Funding
Mature product under Alphabet Inc. (publicly traded: GOOGL)
Revenue
Part of Google / Alphabet — not reported separately; Alphabet revenue exceeds $300B annually
Stock
GOOGL
599integrations16competitors1corporate family
Data & AnalyticsMarketing Analytics

About

Dominant market leader in web analytics with an estimated 55%+ global market share across websites of all sizes

Google Analytics is the world's most widely used web analytics platform, offered by Google (Alphabet Inc.) to help businesses measure and understand how users interact with their websites and apps. Originally launched as Urchin on Demand in 2005 after Google's acquisition of Urchin Software, it has evolved through multiple major versions, with Google Analytics 4 (GA4) being the current generation, which replaced Universal Analytics in July 2023. GA4 introduces an event-based data model, cross-platform tracking, and enhanced privacy controls designed to function in a cookieless future. In the AdTech ecosystem, Google Analytics occupies a uniquely dominant position as both a standalone analytics product and a critical data layer that feeds into Google's broader advertising stack, including Google Ads, Display & Video 360, and Search Ads 360. Its deep integration with these platforms allows advertisers to close the loop between campaign spend and on-site behavior, making it an indispensable tool for performance marketers. The platform is estimated to be installed on over 55% of all websites globally, giving Google unparalleled insight into web traffic patterns. Google Analytics 4 represents a significant architectural shift toward privacy-first measurement, incorporating machine learning-powered insights, predictive metrics, and modeled conversions to compensate for data gaps caused by cookie restrictions and consent requirements. The platform offers a free tier suitable for most businesses and a premium tier, Google Analytics 360, targeting enterprise customers who require higher data limits, SLAs, and advanced integrations with BigQuery and other enterprise data tools.

Business model

Freemium / SaaS

Target market

SMB, Mid-Market, Enterprise

What they offer

  • Google Analytics 4 (GA4)

    The current generation event-based analytics platform for web and app, featuring cross-platform tracking, AI-powered insights, and privacy-first measurement.

  • Google Analytics 360

    Enterprise-tier version of GA4 with higher data limits, guaranteed SLAs, advanced BigQuery integration, and dedicated support.

  • Explorations

    Advanced ad hoc analysis workspace allowing custom funnels, path analysis, segment overlap, and cohort analysis.

  • Audience Builder

    Tool to create and publish remarketing audiences to Google Ads and other Google marketing platforms based on analytics behavior.

  • Predictive Metrics

    Machine learning-powered metrics such as purchase probability, churn probability, and predicted revenue to prioritize high-value users.

  • BigQuery Export

    Native integration to stream raw event-level data into Google BigQuery for advanced querying and data warehousing.

  • Data API (GA4)

    Programmatic access to GA4 report data for custom dashboards, automated reporting, and third-party integrations.

  • Consent Mode

    Framework that adjusts Google tag behavior based on user consent status and uses modeling to fill measurement gaps.

Key features

Event-based data model for flexible, granular trackingCross-platform web and app measurement in a single propertyAI-powered predictive audiences and metricsPrivacy-first measurement with consent mode and cookieless modelingNative BigQuery integration for raw data exportDeep integration with Google Ads for closed-loop attributionReal-time reporting and dashboardsFunnel and path exploration analysisEngagement and retention metricsAutomated insights and anomaly detection

Use cases

Measuring website and app traffic sources and user acquisitionTracking e-commerce conversions and revenue attributionAnalyzing user behavior, engagement, and retentionBuilding remarketing audiences for Google Ads campaignsMonitoring marketing campaign performance across channelsConducting funnel analysis to identify drop-off pointsGenerating predictive audiences based on purchase or churn probabilityExporting raw event data to BigQuery for custom data science workflows

Customer segments

Small and medium-sized businesses (SMBs)Digital marketing agenciesE-commerce retailersEnterprise brands and publishersMobile app developersSaaS companiesMedia and content publishers

Tech & specs

Technology stack

JavaScript tracking tag (gtag.js)Google Tag Manager integrationGoogle Cloud Platform / BigQueryMachine learning and AI (Google's internal ML infrastructure)REST Data API (GA4)Firebase SDK (for app tracking)Consent Mode v2Server-side tagging support

Security & compliance

GDPRCCPAISO 27001SOC 2HIPAA (via Google Analytics 360 BAA)EU Data Processing TermsPrivacy Shield successor frameworks

Deployment

Cloud

API

Yes

Explore further

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