Analytics Compare

Head-to-Head

Matomo vs Piwik PRO

This site is reader-supported. We may earn a commission if you purchase tools through our links.

Full category matrix: Website Analytics Product Analytics

Data last reviewed:

Matomo Visit Website ↗
Piwik PRO Visit Website ↗
Priority
Custom Event & Parameter Tracking
By employing custom event tracking, Matomo enables the detailed monitoring of user interactions, facilitating granular insights into behavior patterns. That said, additional setup may be required for complex tracking scenarios to ensure exhaustive data capture. Customizable event tracking in Piwik PRO allows for detailed monitoring of user interactions across platforms. However, precise configuration is necessary to maintain accuracy and relevance of the captured data.
10
Funnel & Drop-off Analysis
By analyzing user journeys through funnel analysis, Matomo enables the identification of drop-off points and optimization opportunities within conversion paths. That said, additional configuration may be required to accommodate complex funnel structures and ensure accurate tracking. Detailed funnel analysis in Piwik PRO allows for exhaustive tracking of user conversion paths, offering insights into drop-off points. In practice, handling large datasets can become resource-intensive, necessitating optimization strategies.
10
E-commerce Tracking
Granular insights into e-commerce performance are enabled by Matomo's tracking capabilities, which support detailed analysis of sales and conversion metrics. However, integration with external systems may be necessary to fully utilize these capabilities and ensure exhaustive data capture. Exhaustive e-commerce tracking in Piwik PRO provides detailed insights into transaction data and customer behavior. However, full implementation can be complex, requiring detailed configuration and integration with existing systems.
10
Identity Resolution
Enhancing user analytics accuracy relies on the consolidation of identities across sessions and devices through proprietary methods.
10
GDPR / CCPA Compliance
By ensuring compliance with GDPR and CCPA, Matomo provides tools for managing user consent and data privacy, aligning with regulatory standards. However, ongoing updates may be required to maintain compliance as regulations evolve. Extensive compliance features in Piwik PRO ensure alignment with GDPR and CCPA through customizable consent management and data handling policies. That said, diligent configuration is required to meet specific legal requirements and maintain regulatory adherence.
10
Mobile app analytics
By deploying mobile app analytics, Matomo supports the tracking and analysis of user interactions within native applications, providing insights into app performance and user engagement. In practice, additional SDK integration may be necessary to fully utilize this feature's capabilities. Exhaustive mobile app analytics in Piwik PRO provide detailed insights into user interactions and app performance. However, full functionality may necessitate integration with additional SDKs, increasing complexity.
10
Audience Segmentation
Native audience segmentation capabilities facilitate granular targeting by utilizing custom dimensions and attributes. However, the complexity of manual configuration demands considerable engineering resources. By implementing a dynamic segmentation engine, Piwik PRO enables granular audience targeting based on diverse criteria. In practice, managing extensive datasets for segmentation can lead to increased computational load and require optimization strategies.
10
Cookieless Ping / Consent Mode
Proprietary technology within Matomo's cookieless ping feature enables tracking without relying on cookies, ensuring compliance with privacy regulations. That said, additional configuration may be required to achieve efficient performance in diverse deployment scenarios. Utilizing a cookieless ping methodology, Piwik PRO achieves effective tracking without relying on traditional cookies, enhancing privacy compliance. Crucially, environments with strict privacy controls may still impose limitations on the data collected.
9
Path Exploration / User Flows
Enables detailed path exploration by processing sequential interaction data to visualize user journeys. In practice, the resource-intensive nature of handling large data sets can impact performance. Detailed path exploration in Piwik PRO provides insights into user navigation patterns and behavior sequences. While the feature is exhaustive, handling large data volumes can be resource-intensive, requiring optimization strategies.
9
Cohort & Retention Analysis
By integrating cohort analysis, Matomo enables the examination of user behavior over time, facilitating insights into retention and engagement trends. However, the integration of additional data sources may be required to fully utilize the feature's capabilities. Granular cohort analysis in Piwik PRO allows for detailed tracking of user behavior over time, facilitating insights into long-term engagement trends. While the feature is reliable, data-intensive operations and complex configuration requirements can present challenges.
9
Attribution Modeling
Contrary to basic attribution systems, Matomo provides customizable models that allow for detailed path analysis and conversion tracking, enhancing the accuracy of marketing performance assessments. However, configuring these models to fit specific organizational needs may necessitate additional engineering resources. Utilizing advanced data models, Piwik PRO offers extensive attribution modeling capabilities through its customizable reporting framework. However, the complexity of configuration may necessitate dedicated engineering resources to fully utilize its potential.
9
Raw Data Export (BigQuery/S3)
In contrast to basic export functions, Matomo's raw data export provides exhaustive access to all collected data, supporting detailed analysis and reporting. That said, additional data handling capabilities may be necessary to manage and process the exported datasets effectively. Extensive raw data export capabilities in Piwik PRO enable exhaustive data extraction for external analysis and reporting. That said, significant storage resources may be required to handle the volume of exported data.
9
Native SDKs
By providing native SDKs, Matomo facilitates native integration with mobile and web applications, supporting exhaustive tracking across platforms. That said, additional configuration may be necessary to optimize SDK performance for specific environments. Versatile native SDKs in Piwik PRO facilitate integration across various platforms, enhancing data collection capabilities. In practice, frequent updates may be necessary to maintain compatibility with evolving platform standards.
8
Data Sampling Control
Proprietary sampling methods in Matomo allow for handling large datasets by providing configurable sampling options, which can aid in maintaining performance during analysis. In practice, additional controls may be necessary to ensure precise reporting and avoid data distortion.
8
Proxy Deployment / Custom Domain
By supporting proxy deployment, Matomo allows for installation on customer-controlled infrastructure, including behind proxies and reverse proxies. In practice, significant technical expertise may be required to configure and maintain these deployments effectively.
8
Data Retention Limits
Different from basic data retention policies, Matomo offers configurable retention settings that align with various compliance requirements, allowing for tailored data management strategies. While the feature supports a range of retention scenarios, additional policy management may be necessary to ensure full compliance with organizational and regulatory standards. Flexible data retention policies in Piwik PRO allow for customizable storage durations to align with regulatory requirements. While these policies offer adaptability, they necessitate careful management to ensure compliance and prevent data loss.
8
Custom Dashboard Builder
Granular customization within Matomo's dashboard builder allows for the creation of tailored analytics interfaces, supporting diverse reporting needs. However, significant customization efforts may be necessary to fully realize the potential of this feature. Extensive customization options in Piwik PRO's dashboard builder allow for tailored analytics views across various data points. In practice, the complexity of these customizations can necessitate technical expertise to fully exploit their capabilities.
7
Real-time Reporting
By enabling real-time reporting, Matomo provides immediate insights into user interactions, facilitating timely decision-making and response strategies. However, additional configuration may be necessary to optimize performance and ensure data accuracy in high-traffic environments. Effective real-time reporting in Piwik PRO provides immediate insights into current data trends and user activities. However, large-scale deployments may necessitate optimization to maintain performance and responsiveness.
7
Custom Data Models
Contrary to rigid data models, Matomo's custom data models provide flexibility through the use of custom dimensions, events, and goals, adapting to varied analytics requirements. In practice, extensive manual configuration is often necessary to implement these models effectively.
7
Built-in A/B Testing
Granular control over A/B testing in Matomo allows for the execution of detailed experiments, facilitating the optimization of user experience through data-driven decisions. While the feature supports a wide range of testing scenarios, setting up complex experiments may require additional configuration and technical expertise.
7
Bot Filtering
Through configurable bot-filtering mechanisms, non-human traffic is systematically excluded from analytics reports. While effective, maintaining accuracy necessitates frequent updates to bot lists. Granular bot-filtering capabilities differentiate Piwik PRO by enabling precise exclusion of non-human traffic from analytics data. However, configuring these filters requires detailed rule sets, which may necessitate substantial administrative oversight.
6
SSO Support
Proprietary integration methods in Matomo's SSO support facilitate secure user authentication across platforms, enhancing access management capabilities. In practice, additional integration efforts may be necessary to ensure compatibility with specific identity providers. Straightforward SSO support in Piwik PRO facilitates secure access management across various platforms. In practice, integration with specific identity providers may be necessary, adding to the setup complexity.
6
Platform SCORE

Matomo

7.5 / 10

Piwik PRO

6 / 10

Where Matomo and Piwik PRO differ

Matomo documents 22 supported capabilities; Piwik PRO documents 17. Unique coverage below links to each feature hub.

Only in Matomo

Only in Piwik PRO

No exclusive capabilities.

Make your pick: Matomo or Piwik PRO

JP

Jakub Pajtinka

Lead Data Curator

Jakub analyzes official documentation, evaluates data processing limits, and aggregates real sentiment from data engineering communities to build objective analytics software comparisons without the marketing fluff.

Connect on LinkedIn →

More Matomo and Piwik PRO matchups

Related categories

Explore these features