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• Matomo Launches Global Partner Programme to Deepen Local Connections and Champion Ethical Analytics

  25 juin, par Matomo Core Team — Press Releases

  Matomo introduces a global Partner Programme designed to connect organisations with trusted local experts, advancing its commitment to privacy, data sovereignty, and localisation.

  Wellington, New Zealand – 25 June 2025 — Matomo, the leading web analytics platform, is
  proud to announce the launch of the Matomo Partner Programme. This new initiative marks a significant step in Matomo’s global growth strategy, bringing together a carefully selected
  network of expert partners to support customers with localised, high–trust analytics services
  rooted in shared values.
  
  As privacy concerns rise and organisations seek alternatives to mainstream analytics solutions, the need for regional expertise has never been more vital. The Matomo Partner Programme ensures that customers around the world are supported not just by a world–class platform, but by trusted local professionals who understand their specific regulatory, cultural, and business needs.
  
  “Matomo is evolving. As privacy regulations become more nuanced and the need for regional
  understanding grows, we’ve made localisation a central pillar of our strategy. Our partners are
  the key to helping customers navigate these complexities with confidence and care,” said
  Adam Taylor, Chief Operating Officer at Matomo.

  Local Experts, Global Values

  At the heart of the Matomo Partner Programme is a commitment to connect clients with local experts who live and breathe their markets. These partners are more than service
  providers—they’re trusted advisors who bring deep insight into their region’s privacy
  legislation, cultural norms, sector–specific requirements, and digital trends.
  
  The programme empowers partners to act as extensions of Matomo’s core teams :
  
  • As Customer Success allies, delivering personalised training, support, and technical
  services in local languages and time zones.

  • As Sales ambassadors, raising awareness of ethical analytics in both public and private

  sectors, where trust, compliance, and transparency are crucial.
  
  This decentralised, values–aligned approach ensures that every Matomo customer benefits
  from localised delivery with global consistency.

  A Programme Designed for Impactful Partnerships

  The Matomo Partner Programme is open to organisations who share a commitment to ethical, open-source analytics and can demonstrate :

  • Technical excellence in deploying, configuring, and supporting Matomo Analytics in diverse environments.
  • Deep market understanding, allowing them to tell the Matomo story in ways that
  resonate locally.
  • Commercial strength to position Matomo across key industries, particularly in sectors with complex compliance and data sovereignty demands.

  Partners who meet these standards will be recognised as ‘Official Matomo Partners’— a symbol of excellence, credibility, and shared purpose. With this status, they gain access to :

  • Brand alignment and trust : Strengthen credibility with clients by promoting their
  connection to Matomo and its globally respected ethical stance.
  • Go-to-market support : Access to qualified leads, joint marketing, and tools to scale their business in a privacy-first market.
  • Strategic collaboration : Early insights into the product roadmap and direct
  engagement with Matomo’s core team.
  • Meaningful local impact : Help regional organisations reclaim control of their data and embrace ethical analytics with confidence.

  Ethical Analytics for Today’s World
  

  Matomo was founded in 2007 with the belief that people should have full control over their data. As the first open–source web analytics platform of its kind, Matomo continues to challenge the dominance of opaque, centralised tools by offering a transparent and flexible alternative that puts users first.
  
  In today’s landscape—marked by increased regulatory scrutiny, data protection concerns, and rapid advancements in AI—Matomo’s approach is more relevant than ever. Open–source technology provides the adaptability organisations need to respond to local expectations while reinforcing digital trust with users.

  Whether it’s a government department, healthcare provider, educational institution, or
  commercial business—Matomo partners are on the ground, ready to help organisations
  transition to analytics that are not only powerful but principled.

• Server-side tracking vs client-side tracking : What you need to know

  3 juillet, par Joe

  Server-side tracking vs client-side tracking : What you need to know

  Today, consumers are more aware of their online privacy rights, leading to an extensive use of ad blockers and stricter cookie policies. Organisations are facing some noteworthy challenges with this trend, including :

  • Limited data collection, which makes it harder to understand user behaviour and deliver personalised ads that resonate with customers
  • Rising compliance costs as businesses adapt to new regulations, straining resources and budgets.
  • Growing customer scepticism in data practices, affecting brand reputation.
  • Maintaining transparency and fostering trust with customers through clear communication about data practices.

  Server-side tracking can help resolve these problems. This article will cover server-side tracking, how it works, implementation methods and its benefits.

  What is server-side tracking ? 

  Server-side tracking refers to a method where user data is collected directly by a server rather than through a user’s browser.

  The key advantage of server-side tracking is that data collection, processing, and storage occur directly on the website’s server.

  For example, when a visitor interacts with any website, the server captures that activity through the backend system, allowing for greater data control and security. 

  Client-side tracking vs. server-side tracking 

  There are two methods to collect user data : client-side and server-side. 

  Let’s understand their differences. 

  Client-side tracking : Convenience with caveats

  Client-side tracking embeds JavaScript tags, pixels or other scripts directly into a website’s code. When a user interacts with the site, these tags fire, collecting data from their browser. This information might include page views, button clicks, form submissions and other user actions. 

  The collected data is then sent directly to third-party analytics platforms like Google Analytics or Adobe Analytics, or internal teams can also analyse it.

  This method is relatively easy to implement. That’s because marketers can often deploy these tags without needing extensive developer support, enabling quick adjustments and A/B testing. 

  However, there are some challenges. 

  Ad blockers and browser privacy settings, such as Intelligent Tracking Prevention (ITP), restrict the ability of third-party tags to collect data. 

  This results in data gaps and inaccuracies skewing analytics reports and potentially leading to misguided business decisions. 

  Reliance on numerous JavaScript tags can also negatively impact website performance, slowing down page load times and affecting user experience. This is especially true on mobile devices where processing power and network speeds are often limited.

  

  Now, let’s see how server-side tracking changes this.

  Server-side tracking : Control and reliability

  Server-side tracking shifts the burden of data collection from the user’s browser to a server controlled by the business. 

  Instead of relying on JavaScript tags firing directly from the user’s device, user interactions are first sent to the business’s own server. Here, the data can be processed, enriched, and analysed. 

  This method provides numerous advantages, including enhanced control over data integrity, improved privacy, and more, which we discuss in the next section.

  Benefits of server-side tracking 

  Server-side tracking offers a compelling alternative to traditional client-side methods, providing numerous business advantages. Let’s take a look at them.

  Improved data accuracy

  This method reduces inaccuracies caused by ad blockers or cookie restrictions by bypassing browser limitations. As a result, the data collected is more reliable, leading to better analytics and marketing attribution.

  Data minimisation

  Data minimisation is a fundamental principle in data protection. It emphasises that organisations should collect only data that is strictly needed for a specific purpose. 

  In server-side tracking, this translates into collecting just the essential data points and discarding anything extra before the data is sent to analytics platforms. It helps organisations avoid accumulating excessive personal information, reducing the risk of data breaches and misuse.

  For example, consider a scenario where a user purchases a product on an e-commerce website. 

  With client-side tracking scripts, the system might inadvertently collect a range of data, including the user’s IP address, browser type, operating system and even details about other websites they have visited. 

  However, for conversions, the organisation only needs to know the purchase amount, product IDs, user IDS, and timestamps. 

  Server-side tracking filters unnecessary information. This reduces the privacy impact and simplifies data analysis and storage.

  Cross-device tracking capabilities

  Server-side tracking provides a unified view of customer behaviour regardless of the device they use, allowing for more personalised and targeted marketing campaigns. 

  In-depth event tracking

  Server-side tracking helps businesses track events that occur outside their websites, such as payment confirmations. Companies gain insights into the entire customer journey, from initial interaction to final purchase, optimising every touchpoint. 

  Enhanced privacy compliance

  With increasing regulations like GDPR and CCPA, businesses can better manage user consent and data handling practices through server-side solutions. 

  Server-side setups make honouring user consent easier. If a user opts out, server-side logic can exclude their data from all outgoing analytics calls in one central place. 

  

  Server-side methods reassure users and regulators that data is collected and secured with minimal risk. 

  In sectors like government and banking, this level of control is often a non-negotiable part of their duty of care. 

  Extended cookie lifetime

  Traditional website tracking faces growing obstacles as modern browsers prioritise user privacy. Initiatives like Safari’s ITP block third-party cookies and also constrain the use of first-party cookies. 

  Other browsers, such as Firefox and Brave, are implementing similar methods, while Chrome is beginning to phase out third-party cookies. Retargeting and cross-site analytics, which rely on these cookies, encounter significant challenges.

  Server-side tracking overcomes this by allowing businesses to collect data over a longer duration. 

  When a website’s server directly sets a cookie, that cookie often lasts longer than cookies created by JavaScript code running inside the browser. This lets websites get around some of the limits browsers put on tracking and allows them to remember a visitor when they return to the site later, which gives better customer insights. Plus, server-side tracking typically classifies cookies as first-party data, which is less susceptible to blocking by browsers and ad blockers.

  Server-side tracking : Responsibilities and considerations

  While server-side tracking delivers powerful capabilities, remember that it also brings increased responsibility. Companies must remain vigilant in upholding privacy regulations and user consent. It’s up to the organisation to make sure the server follows user consent, for example, not sending data if someone has opted out.

  Server-side setups introduce technical complexity, which can potentially lead to data errors that are more difficult to identify and resolve. Therefore, monitoring processes and quality assurance practices are essential for data integrity. 

  How does server-side tracking work ? 

  When a user interacts with a website (e.g., clicking a button), this action triggers an event. The event could be anything from a page view to a form submission.

  The backend system captures relevant details such as the event type, user ID and timestamp. This information helps in understanding user behaviour and creating meaningful analytics.

  The captured data is processed directly on the organisation’s server, allowing for immediate validation. For example, organisations can add additional context or filter out irrelevant information.

  Instead of sending data to third-party endpoints, the organisation stores everything in its own database or data warehouse. This ensures full control over data privacy and security.

  Organisations can perform their own analysis using tools like SQL or Python. To visualise data, custom dashboards and reports can be created using self-hosted analytics tools. This way, businesses can present complex data in a clear and actionable manner.

  How to implement server-side tracking ?

  Server-side tracking can work in four common ways, each offering a different blend of control, flexibility and complexity.

  1. Server-side tag management

  In this method, organisations use platforms like Google Tag Manager Server-Side to manage tracking tags on the server, often using containers to isolate and manage different tagging environments. 

  

  (Image Source) 

  This approach offers a balance between control and ease of use. It allows for the deployment and management of tags without modifying the application code, which is particularly useful for marketers who want to adjust tracking configurations quickly.

  2. Direct server-to-server tracking via APIs

  This method involves sharing information between two servers without affecting the user’s browser or device. 

  A unique identifier is generated and stored on a server when a user interacts with an ad or webpage. 

  If a user takes some action, like making a purchase, the unique identifier is sent from the advertiser’s server directly to the platform’s server (Google or Facebook) via an API. 

  It requires more development effort but is ideal for organisations needing fine-grained data control.

  3. Using analytics platforms with built-in server SDKs

  Another way is to employ analytics platforms like Matomo that provide SDKs for various programming languages to instrument the server-side code. 

  This eases integration with the platform’s analytics features and is a good choice for organisations primarily using a single analytics platform and want to use its server-side capabilities.

  4. Hybrid approaches

  Finally, organisations can also combine client- and server-side tracking to capture different data types and maximise accuracy. 

  This method involves client-side scripts for specific interactions (like UI events) and server-side tracking for more sensitive or critical data (like transactions). 

  While these are general approaches, dedicated analytics platforms can also be helpful. Matomo, for example, facilitates server-side tracking through two specific methods.

  Using server logs

  Matomo can import existing web server logs, such as Apache or Nginx, that capture each request. Every page view or resource load becomes a data point. 

  Matomo’s log processing script reads log files, importing millions of hits. This removes the need to add code to the site, making it suitable for basic page analytics (like the URL) without client-side scripts, particularly on security-sensitive sites.

  Using the Matomo tracking API (Server-side SDKs)

  This method integrates application code with calls to Matomo’s API. For example, when a user performs a specific action, the server sends a request to Matomo.php, the tracking endpoint, which includes details like the user ID and action. 

  Matomo offers SDKs in PHP, Java C#, and community SDKs to simplify these calls. These allow tracking of not just page views but custom events such as downloads and transactions from the backend, functioning similarly to Google’s Measurement Protocol but sending data to the Matomo instance. 

  Data privacy, regulations and Matomo

  As privacy concerns grow and regulations like GDPR and CCPA become more stringent, businesses must adopt data collection methods that respect user consent and data protection rights. 

  Server-side tracking allows organisations to collect first-party data directly from their servers, which is generally considered more compliant with privacy regulations.

  Matomo is a popular open-source web analytics platform that is committed to privacy. It gives organisations 100% data ownership and control, and no data is sent to third parties by default.

  

  (Image Source) 

  Matomo is a full-featured analytics platform with dashboards and segmentation comparable to Google Analytics. It can self-host and provides DoNotTrack settings and the ability to anonymise IP addresses.

  Governments and organisations requiring data sovereignty, such as the EU Commission and the Swiss government, choose Matomo for web analytics due to its strong compliance posture.

  Balancing data collection and user privacy

  Ad blockers and other restrictions prevent data from being accurate. Server-side tracking helps get data on the server and makes it more reliable while respecting user privacy. Matomo supports server-side tracking, and over one million websites use Matomo to optimise their data strategies. 

  Get started today by trying Matomo for free for 21 days, no credit card required.

• FFmpeg get frame rate

  22 septembre 2021, par zhin dins

  I have several images and I am reproducing them in 78.7ms, I am creating like the 80s video effect. But, I am unable to find the correct ms, and this images with the original videos are unsync.

  


  I dumped the video to images using this command => ffmpeg -i *.mp4 the80effect/img-%d.jpg And now, I have 48622 frames. The video FPS is 24

  


  So, 48622/24 = 2025 +- I cannot use 2025ms since those images will load very slow. And the and the approximate value is 78.7ms per frame/image

  


  How can I find the correct value ? The video duration in seconds is 2026. I have tried all math to find this but I'm failing. How many images (one frame) per msCould you help me ? Thank you.