Google Analytics Pricing: Free vs. 360 Cost (2026)

Pricing overview

Google Analytics operates on a dual-tier pricing model: a free standard version and a paid enterprise version, Google Analytics 360. The free standard version of Google Analytics 4 (GA4) provides comprehensive website and app analytics for most users, covering data collection, reporting, and basic integrations without a direct cost for usage up to high limits.

For organizations with significant data volumes, complex analysis requirements, or the need for guaranteed service levels and dedicated support, Google offers Google Analytics 360. This premium tier is part of the Google Marketing Platform and features custom pricing negotiated directly with Google sales or authorized resellers. The cost for Google Analytics 360 is primarily influenced by the volume of data processed, specifically the number of events collected and processed per month. Additional factors include access to advanced features, higher data freshness, and integration with other enterprise Google products.

The transition from Universal Analytics (UA) to Google Analytics 4 (GA4) also impacted pricing considerations. While UA had a free tier and a 360 version with specific hit limits, GA4 introduced an event-based data model, which is now the primary metric for determining usage and cost in the 360 tier. All standard Universal Analytics properties stopped processing new data on July 1, 2023, requiring migration to GA4 for continued analytics functionality, as detailed in the Google Analytics 4 migration guide.

Plans and tiers

Google Analytics provides two main offerings: the free standard GA4 property and the paid Google Analytics 360. These tiers differ significantly in their intended audience, feature set, data processing limits, and support models.

The Google Marketing Platform Analytics pricing page provides an overview of these feature differences.

Free tier and limits

The free standard Google Analytics 4 property is designed to meet the analytics needs of a broad spectrum of users, from small businesses and startups to many larger organizations. It offers robust features for tracking website and app traffic, understanding user behavior, measuring conversions, and attributing marketing campaigns.

Key features of the free tier include:

• Event-based data model: Collects all user interactions as events, providing flexibility in tracking.
• Cross-platform tracking: Unifies data from websites and mobile apps into a single property.
• Machine learning insights: Automated insights and predictive metrics (e.g., churn probability, purchase probability).
• Google Ads and Search Console integration: Seamless linking for campaign performance analysis.
• Explorations: Advanced reporting tools for ad-hoc analysis, including funnel, path, and segment overlap reports.
• BigQuery Export: Daily export of raw event data to Google BigQuery, allowing for custom querying and analysis. This export is limited to 1 million events per day for the free tier, as noted in the Google Analytics support documentation on BigQuery Export.
• Data retention: Up to 14 months for event-level data, which can be configured in property settings.

While the free tier is highly capable, it does have practical limits, particularly concerning data volume and freshness, which are typically sufficient for most users. For instance, while GA4's free tier allows for a large volume of events, extreme spikes or sustained very high traffic might experience slower processing or data sampling in certain reports compared to the 360 version. There are also limits on the number of custom dimensions and metrics (25 per scope) and audiences (100 per property) that can be created.

Real-world cost examples

Since Google Analytics 360 utilizes custom pricing, direct cost examples are not publicly available. However, the pricing model is primarily based on the volume of events processed. Organizations requiring Google Analytics 360 typically fall into categories with substantial data collection needs or advanced integration requirements.

• Large E-commerce Retailer: An online retailer with millions of monthly visitors, thousands of products, and complex user journeys across web and mobile apps would likely exceed the operational limits of the free GA4. They would benefit from 360's higher event processing capacity (e.g., 500 billion events per month), continuous BigQuery export for real-time analysis, advanced integrations with their CRM and advertising platforms (like Display & Video 360), and dedicated support to ensure data reliability during peak sales periods. The cost would scale with their monthly event volume, potentially ranging from tens of thousands to hundreds of thousands of dollars annually, depending on their specific contract.
• Global Media Company: A media company operating multiple high-traffic news sites and streaming services requires precise, unsampled data for content optimization and advertising sales. GA4 360's subproperties and roll-up properties would allow them to analyze data across different brands or regions, while higher custom dimension limits enable granular content tagging. The faster data freshness (4-hour SLA) is critical for timely reporting on breaking news or campaign performance. Their pricing would reflect the aggregate event volume across all properties and the need for high data freshness guarantees.
• Financial Services Institution: A bank or investment firm needing to track highly sensitive user interactions while ensuring compliance and robust data governance. While not directly a pricing feature, the enhanced support and SLAs in 360 often come with assurances relevant to regulated industries. The ability to export comprehensive, unsampled data to BigQuery without daily limits is crucial for their data warehousing and compliance auditing needs. Their cost would factor in the high volume of user interactions and the premium placed on data accuracy and support.

Factors influencing the negotiated price for Google Analytics 360 include:

• Event Volume: The primary driver, measured in billions of events per month.
• Contract Duration: Longer contracts may offer different rates.
• Bundle Deals: Integration with other Google Marketing Platform products (e.g., Google Ads, Campaign Manager 360) could influence overall package pricing.
• Reseller vs. Direct: Pricing structures can vary slightly when purchased through a certified Google Marketing Platform partner compared to direct from Google.

Organizations considering Google Analytics 360 are advised to contact Google sales or a certified partner for a customized quote based on their specific requirements and projected event volume, as highlighted on the Google Cloud sales contact page.

How the pricing compares

When comparing Google Analytics's pricing model to alternatives, a key distinction lies in the availability and capabilities of the free tier, alongside the enterprise offering.

• Matomo Analytics: Matomo offers both a free, self-hosted open-source version and a paid cloud version. The self-hosted version has no direct cost for the software itself, but requires users to manage their own infrastructure, which incurs hosting, maintenance, and potential development costs. The Matomo Cloud pricing is typically subscription-based, often tiered by traffic volume (e.g., page views or actions), similar to how many SaaS analytics platforms operate. For example, Matomo's cloud pricing starts around €29 per month for up to 50,000 hits and scales upwards, as detailed on the Matomo pricing page. This contrasts with Google Analytics's free tier, which abstracts away infrastructure costs entirely, and its 360 tier's custom event-based pricing.
• Adobe Analytics: Adobe Analytics is a direct competitor to Google Analytics 360, exclusively targeting enterprise-level customers. It does not offer a free tier. Its pricing is highly customized, often based on server calls (similar to events) and the specific modules and integrations required within the Adobe Experience Cloud. Adobe Analytics is generally considered a premium solution with a higher entry cost than Google Analytics 360, typically involving multi-year contracts and significant annual fees, reflecting its advanced capabilities, robust support, and integration depth within the Adobe ecosystem.
• Plausible Analytics: Plausible Analytics represents a privacy-focused, lightweight alternative. It operates on a transparent, subscription-based model, with pricing tiered by page views. For example, Plausible offers plans starting at $9/month for up to 10,000 page views, scaling up to thousands of dollars for billions of page views, as shown on the Plausible Analytics pricing page. It explicitly avoids a free tier, instead offering a free trial. Its cost structure is simpler and more predictable than Google Analytics 360, but it offers a more focused feature set, primarily for website analytics, without the extensive app tracking or marketing platform integrations of GA4.

In summary, Google Analytics offers a strong value proposition with its free, feature-rich standard GA4 property for most users. Its 360 tier competes with other enterprise solutions like Adobe Analytics through custom, usage-based pricing designed for very high-volume data processing and extensive integration needs. Alternatives like Matomo and Plausible offer different pricing models, often focused on transparency, privacy, or self-hosting options, catering to specific user preferences or budget constraints.