Latest Releases Archives - Analytics Platform - Matomo

Enhanced Privacy Control: Matomo’s Guide for Consent Manager Platform Integrations

Alex Carmona — Thu, 13 Feb 2025 19:57:50 +0000

In today’s digital landscape, protecting user privacy isn’t just about compliance—it’s about building trust and demonstrating respect for user choices. Even though you can use Matomo without requiring consent when properly configured in compliance with privacy regulations, we’re excited to introduce a new Consent Manager Platforms (CMP) category on our Integrations page to make it easier than ever to implement privacy-respecting analytics.

What’s a consent manager platform?

A Consent Management Platform (CMP) is a tool that helps websites collect, manage, and store user consent for data tracking and cookies in compliance with privacy regulations like GDPR and CCPA. A CMP allows users to choose which types of data they want to share, ensuring transparency and respecting their privacy preferences. By integrating a CMP with Matomo, organisations can make sure that analytics tracking occurs only after obtaining explicit user consent.

Remember, you can configure Matomo to remain fully GDPR compliant, without requiring user consent.

Why consent management matters

With privacy regulations reshaping data collection practices daily, organisations need to ensure that analytics data is gathered only after users have explicitly given their consent. Integrating Matomo with a Consent Management Platform helps you:

Strengthen regulatory compliance
Enhance user trust through transparency
Clearly document consent choices
Simplify privacy management

By making consent management seamless, you can maintain compliance while delivering a privacy-first experience to your users.

Introducing our CMP integration options

We’ve carefully curated integrations with leading Consent Management Platforms that work seamlessly with Matomo Analytics and Matomo Tag Manager. Our supported platforms include:

Supported consent management platforms

Osano – Comprehensive consent management with global regulation support
Cookiebot – Advanced cookie consent and compliance automation
CookieYes – User-friendly consent management solution
Tarte au Citron – Open-source consent management tool
Klaro – Privacy-focused consent management system
OneTrust – Enterprise-grade privacy management platform
Complianz for WordPress – Specialised WordPress consent solution

Each platform provides unique features and compliance options, allowing you to select the best fit for your privacy needs.

Getting started with simplified implementation

Ready to enhance your privacy compliance? We’ve made the integration process straightforward, so you can set up a privacy-compliant analytics environment in just a few steps. Here’s how to begin:

Explore our new CMP category on the Integrations page
Select and implement the CMP that best suits your needs
Check our implementation guides for step-by-step instructions
Configure your consent management settings in Matomo
Start collecting analytics data with proper consent management

Moving Forward

As privacy regulations evolve and user expectations around data protection grow, proper consent management is more important than ever. With Matomo’s new CMP integrations, you can ensure compliance while maintaining full control over your analytics data.

Visit our Integrations page and our Implementation guides today to explore these privacy-enhancing solutions and take the next step in your privacy-first analytics journey.

Introducing the Data Warehouse Connector feature

Matomo Core Team — Thu, 30 Jan 2025 01:22:01 +0000

Matomo is built on a simple truth: your data belongs to you, and you should have complete control over it. That’s why we’re excited to launch our new Data Warehouse Connector feature for Matomo Cloud, giving you even more ways to work with your analytics data.

Until now, getting raw data from Matomo Cloud required APIs and custom scripts, or waiting for engineering help.

Our new Data Warehouse Connector feature removes those barriers. You can now access your raw, unaggregated data and schedule regular exports straight to your data warehouse.

The feature works with all major data warehouses including (but not limited to):

Google BigQuery
Amazon Redshift
Snowflake
Azure Synapse Analytics
Apache Hive
Teradata

You can schedule exports, combine your Matomo data with other data sources in your data warehouse, and easily query data with SQL-like queries.

Direct raw data access for greater data portability

Waiting for engineering support can delay your work. Managing API connections and writing scripts can be time-consuming. This keeps you from focusing on what you do best—analysing data.

With the Data Warehouse Connector feature, you get direct access to your raw Matomo data without the technical setup. So, you can spend more time analysing data and finding insights that matter.

Bringing your data together

Answering business questions often requires data from multiple sources. A single customer interaction might span your CRM, web analytics, sales systems, and more. Piecing this data together manually is time-consuming—what starts as a seemingly simple question from stakeholders can turn into hours of work collecting and comparing data across different tools.

This feature lets you combine your Matomo data with data from other business systems in your data warehouse. Instead of switching between tools or manually comparing spreadsheets, you can analyse all your data in one place to better understand how customers interact with your business.

Easy, custom analysis with SQL-like queries

Standard, pre-built reports often don’t address the specific, detailed questions that analysts need to answer.

When you use the Data Warehouse Connector feature, you can use SQL-like queries in your data warehouse to do detailed, customised analysis. This flexibility allows you to explore your data in depth and uncover specific insights that aren’t possible with pre-built reports.

Here is an example of how you might use SQL-like query to compare the behaviours of paying vs. non-paying users:

				
					SELECT  

custom_dimension_value AS user_type, -- Assuming 'user_type' is stored in a custom dimension 

COUNT(*) AS total_visits,  

AVG(visit_total_time) AS avg_duration, 

SUM(conversion.revenue) AS total_spent  

FROM  

`your_project.your_dataset.matomo_log_visit` AS visit 

LEFT JOIN  

`your_project.your_dataset.matomo_log_conversion` AS conversion  

ON  

visit.idvisit = conversion.idvisit  

GROUP BY  

custom_dimension_value;

This query helps you compare metrics such as the number of visits, average session duration, and total amount spent between paying and non-paying users. It provides a full view of behavioural differences between these groups.

Advanced data manipulation and visualisation

When you need to create detailed reports or dive deep into data analysis, working within the constraints of a fixed user interface (UI) can limit your ability to draw insights.

Exporting your Matomo data to a data warehouse like BigQuery provides greater flexibility for in-depth manipulation and advanced visualisations, enabling you to uncover deeper insights and tailor your reports more effectively.

Getting started

To set up data warehouse exports in your Matomo:

Go to System Admin (cog icon in the top right corner)
Select ‘Export’ from the left-hand menu
Choose ‘Data Warehouse Connector’

You’ll find detailed instructions in our data warehouse exports guide.

Please note, enabling this feature will cost an additional 10% of your current subscription. You can view the exact cost by following the steps above.

New to Matomo? Start your 21-day free trial now (no credit card required), or request a demo.

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Unwrapping Matomo 5.2.0 – Bringing you enhanced security and performance

Daniel Crough — Wed, 25 Dec 2024 00:40:21 +0000

As we tie a bow on 2024, we’re delighted to share our final gift of the year. Matomo 5.2.0 comes wrapped with new security features, privacy controls, and performance improvements to enhance your analytics experience.

Enhanced security and privacy controls

We’ve strengthened Matomo’s security framework with several key updates:

A new installer timestamp mechanism for on-premise installations creates a secure 72-hour installation window, preventing unauthorised access during setup
Enhanced account security features including a “This Wasn’t Me” link in password reset emails and location-based login alerts
The new Global List of Query URL parameters feature lets you refine tracking by excluding sensitive or unnecessary parameters from collection

Tag manager improvements for better efficiency

The Matomo Tag Manager now includes several features to streamline your workflow:

New Consent Management Platform (CMP) tags for CookieYes, OneTrust, and Axeptio, simplifying consent tracking implementatio.
A new copy feature for containers, tags, and triggers that reduces setup time and ensures consistency across multiple properties
Improved management tools for maintaining standardised tracking across websites

Performance and reliability updates

We’ve made technical improvements to enhance Matomo’s performance:

Full PHP 8.4 compatibility for improved performance and reliability
Optimised archiving processes including smarter handling of recent data
New recovery options for interrupted archiving processes
Specific improvements for TiDB compatibility, enhancing database performance for users of this engine

Important to note: This release does not require any major database upgrade, making it easier to implement these improvements.

Looking forward to 2025

As we prepare to enter a new year, these updates reflect our ongoing commitment to providing privacy-focused analytics. We’re grateful to all our community contributors who have helped make this release possible. Special thanks to the Matomo community for their contributions to this release.

Ready to explore these new features? Update to Matomo 5.2.0 today and start the new year with enhanced security, efficiency, and control over your analytics data.

From all of us at Matomo, thank you for being part of our journey. Here’s to another year of protecting privacy and empowering insights together!

For a detailed overview of all changes and improvements, see our complete release notes or join the discussion in our community forums. If you’d like to contribute to making Matomo even better, learn more about getting involved with our open-source project.

Try out the latest Matomo 3.0.0 beta version: Matomo 3.0.0 is almost here!

Matthieu Aubry — Tue, 15 Nov 2016 21:56:28 +0000

Dear Matomo (Piwik) community,

We are excited today to announce our publicly available Matomo 3.0.0 beta 3 release. We have been been working hard behind the scenes on the new 3.0.0 release for almost one year now. We, the passionate team at Matomo, are dedicated to bringing you a new and improved Matomo experience and invite you to join our beta channel to switch to Matomo 3 today!

Enable the beta release channel

Ready to enjoy a much faster Matomo experience and the magic of a modern user interface? Follow the instructions here and you can upgrade to Matomo 3.0.0 beta in just one click.

Please note that beta versions have a risk of containing bugs so we don’t recommend to use on a production server. If you find and report a bug in a beta version, we will aim to fix it as quickly as possible.

Premium plugins in Matomo 3

In the Matomo Marketplace you can discover & download plugins to enrich the functionality of your Matomo, as well as themes to change the look and feel of your Matomo user interface. The Marketplace integration was much improved in this new release, most notably: you can now purchase and download Premium plugins within Matomo!

Important changes

The Matomo 3 upgrade comes with some important changes that may require your attention which we detail in this blog post and in the developer changelog.

The full list of more than 150 changes can be found in the Matomo 3 beta changelogs: beta 1, beta 2, beta 3.

What to do next

When you use the Matomo beta channel and if you come across any issues in Matomo such as a bug, feature missing, regression… let us know on our tracker and create a new issue so we can get this sorted.

As we are in the final days of Matomo 3 development, we are looking forward to your feedback and help testing!

Welcome to the future of Matomo,

Happy Analytics!