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Google Analytics 4 vs Matomo

Side-by-side feature matrix for these two tools with per-row priority sliders. Adjust weights in the last column to recalculate System SCORE instantly.

Full category matrix: Website Analytics Product Analytics

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Features Google Analytics 4 Matomo Your Priority
Actions Visit Website ↗ Visit Website ↗ Priority controls
Custom Event & Parameter Tracking The platform offers a highly flexible, parameter-based event model to track any specific user interaction. Instead of traditional category-action-label hierarchies, users define custom event names and append specific key-value parameters. Users can implement structured custom event tracking using a traditional Category-Action-Name-Value hierarchy to monitor specific interactions.
10
0 10
Funnel & Drop-off Analysis Users can build custom funnel explorations to track sequential user steps and identify drop-off rates across any combination of events. As a premium plugin, the funnel tool allows businesses to define strict step-by-step conversion paths to identify exact user drop-off points.
10
0 10
E-commerce Tracking E-commerce tracking provides a dedicated, structured schema for tracking the complete e-commerce lifecycle, from item views and cart additions to final purchases and refunds. The e-commerce framework provides a dedicated, structured e-commerce framework to track complete transaction lifecycles, from product views to cart abandonment and revenue.
10
0 10
Identity Resolution The platform uses a blended approach, prioritizing user-provided IDs, then vendor signals, and finally device IDs to deduplicate users across devices. The identity framework relies heavily on deterministic User IDs set upon login to track users across devices, avoiding the use of opaque third-party data graphs.
10
0 10
GDPR / CCPA Compliance out-of-the-box Its compliance features offers features like Consent Mode, IP redaction, and data deletion requests, but full compliance relies heavily on proper implementation by the user. The platform is specifically engineered for strict data privacy compliance, offering comprehensive data anonymization and user consent management tools.
10
0 10
Mobile app analytics App tracking is handled natively through deep Firebase integration, providing a unified reporting structure for both web and mobile platforms.
10
0 10
Audience Segmentation Users can create highly specific audience segments based on behavior, demographics, and predictive metrics, which seamlessly sync with Google Ads. Users can create highly granular custom segments using virtually any available dimension or event, though they apply strictly to historical analysis.
10
0 10
Cookieless Ping / Consent Mode This platform utilizes Consent Mode to send anonymized, non-identifiable data signals when users deny cookie tracking. These signals feed into machine learning models to fill measurement gaps rather than tracking individual user journeys. The cookieless setup offers privacy-first, cookieless tracking out of the box, utilizing device fingerprinting and anonymized data to measure traffic without consent banners.
9
0 10
Path Exploration / User Flows The pathing tool visualizes the sequential flow of users through a site or app, starting from a specific event or working backward from a conversion. The platform offers a dedicated premium pathing plugin to visualize sequential user journeys across pages and events.
9
0 10
Cohort & Retention Analysis The cohort tool enables teams to group users by shared characteristics (like acquisition date) to track retention, engagement, and conversion decay over time. Available via a premium plugin, this feature allows teams to group users by acquisition date to track long-term retention and engagement decay.
9
0 10
Attribution Modeling The platform uses data-driven, machine learning models to distribute conversion credit across multiple marketing touchpoints in a user's journey. The built-in Multi-Channel Conversion Attribution feature allows users to evaluate campaign performance using various standard attribution models.
9
0 10
Raw Data Export (BigQuery/S3) Users can export their complete, unsampled event data seamlessly and at no additional platform cost via a native integration with Google BigQuery. Users can easily export raw, unsampled hit-level data via direct database access or comprehensive APIs without paying premium data-warehousing fees.
9
0 10
Native SDKs Mobile app measurement is supported through dedicated Firebase SDKs for both iOS and Android environments. It features automatic logging for standard app interactions alongside the ability to define custom events.
8
0 10
Data Sampling Control To maintain platform speed during complex queries on large datasets, the system applies data sampling, estimating results based on a subset of data.
8
0 10
Proxy Deployment / Custom Domain Through Server-Side Google Tag Manager, businesses can route their tracking data through a first-party server before it reaches the analytics platform.
8
0 10
Data Retention Limits Administrators can configure how long user-level and event-level data is stored before it is automatically deleted from the platform's servers. Organizations have absolute control over their data retention policies, with the ability to store granular historical data indefinitely if legally permissible.
8
0 10
Custom Dashboard Builder Native dashboard capabilities are limited to customizing standard reports and creating Explorations. For comprehensive, executive-level dashboards, users must rely on the native integration with Looker Studio. The platform features a highly modular, drag-and-drop dashboard builder, allowing users to consolidate numerous reports into a single unified view.
7
0 10
Real-time Reporting Live data monitoring provides a snapshot of current active users, their geographic locations, and the events they are triggering within the last 30 minutes. The platform offers an exceptionally detailed live view, providing a continuous, unsampled stream of individual visitor actions as they occur.
7
0 10
Built-in A/B Testing Built-in A/B testing provides an integrated A/B testing framework to run experiments directly within the analytics platform, avoiding third-party data discrepancies.
7
0 10
Bot Filtering Automated filtering actively excludes traffic originating from known web spiders and bots based on internally maintained lists. This feature operates entirely in the background and cannot be customized or disabled by the user. The filtering system automatically filters known spam and bot traffic based on an internal list, maintaining basic data accuracy without manual configuration.
6
0 10
Anomaly Detection The platform utilizes machine learning to automatically establish baselines and flag statistically significant deviations in core metrics like traffic or revenue.
6
0 10
Predictive Analytics (Churn/LTV) Machine learning models automatically predict future user actions, such as purchase probability or churn risk, based on historical behavior patterns.
6
0 10
SSO Support Single Sign-On (SSO) is supported via Google Workspace or Cloud Identity, allowing enterprise teams to centralize authentication and access control. Enterprise authentication is supported through premium plugins, enabling integration with LDAP, SAML, and major SSO providers.
6
0 10
Pre-built Industry Templates The platform offers a basic set of report collections and exploration templates tailored to general use cases, rather than highly specialized industry frameworks.
5
0 10
System SCORE 7.2 / 10 6 / 10

Make your pick

Try

Google Analytics 4

Google Analytics 4 is a robust analytics platform that offers real-time insights and advanced features to track user behavior across websites and apps.

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Try

Matomo

Matomo is a privacy-focused analytics platform offering a comprehensive suite of tools for tracking, analyzing, and optimizing user interactions.

Visit Website ↗ Read Full Review