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Google Analytics 4 vs Piwik PRO

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.

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Features Google Analytics 4 Piwik PRO 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. The platform uses a flexible event tracking model, allowing users to define custom categories, actions, and names, alongside unlimited custom dimensions.
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. Users can build highly customizable, multi-step funnel reports to analyze user flow and identify precise drop-off points in the conversion journey.
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. E-commerce tracking includes a dedicated e-commerce module to track product views, cart actions, and completed revenue, ensuring sensitive financial data remains secure.
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.
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 built natively for absolute privacy compliance, featuring an integrated Consent Manager to strictly govern data collection based on user choices.
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. The platform supports native mobile app tracking via iOS and Android SDKs, fully integrated with its rigorous privacy and consent management framework.
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. Analysts can construct highly granular audience segments using complex behavioral and demographic rules, applicable across all historical reports.
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. Cookieless measurement natively supports fully cookieless tracking mechanisms, ensuring robust data collection while strictly adhering to complex European privacy laws.
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 visual User Flow report to analyze sequential navigation patterns and identify how visitors move between specific 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. The cohort reporting feature groups users by their initial acquisition date to measure long-term retention and returning user behavior.
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. Multi-channel attribution reports allow marketers to apply various standard models (like First Click or Linear) to understand campaign performance.
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 session and event data via an API or direct integration with cloud data warehouses like BigQuery.
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. Native mobile tracking provides dedicated, privacy-focused SDKs for iOS and Android, allowing for secure tracking of mobile application lifecycles and 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. Enterprise clients have extensive control over data retention policies, with options to retain raw data for 25 months or longer, depending on the contract.
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 analytics interface features a flexible, widget-based dashboard builder, allowing teams to construct personalized views of critical business KPIs.
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. Real-time dashboards provide immediate, live visibility into active visitor counts, their geographic locations, and the specific events they are triggering.
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. Bot filtering utilizes an automated exclusion system based on established bot libraries, keeping analytics data clean without requiring complex manual rules.
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. The platform provides robust enterprise security with native support for SAML 2.0 Single Sign-On, integrating smoothly with major identity 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 7.5 / 10 5.9 / 10

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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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