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Pas question de marché, de cloud etc...
10 avril 2011Le vocabulaire utilisé sur ce site essaie d’éviter toute référence à la mode qui fleurit allègrement
sur le web 2.0 et dans les entreprises qui en vivent.
Vous êtes donc invité à bannir l’utilisation des termes "Brand", "Cloud", "Marché" etc...
Notre motivation est avant tout de créer un outil simple, accessible à pour tout le monde, favorisant
le partage de créations sur Internet et permettant aux auteurs de garder une autonomie optimale.
Aucun "contrat Gold ou Premium" n’est donc prévu, aucun (...) -
Automated installation script of MediaSPIP
25 avril 2011, parTo overcome the difficulties mainly due to the installation of server side software dependencies, an "all-in-one" installation script written in bash was created to facilitate this step on a server with a compatible Linux distribution.
You must have access to your server via SSH and a root account to use it, which will install the dependencies. Contact your provider if you do not have that.
The documentation of the use of this installation script is available here.
The code of this (...) -
Support audio et vidéo HTML5
10 avril 2011MediaSPIP utilise les balises HTML5 video et audio pour la lecture de documents multimedia en profitant des dernières innovations du W3C supportées par les navigateurs modernes.
Pour les navigateurs plus anciens, le lecteur flash Flowplayer est utilisé.
Le lecteur HTML5 utilisé a été spécifiquement créé pour MediaSPIP : il est complètement modifiable graphiquement pour correspondre à un thème choisi.
Ces technologies permettent de distribuer vidéo et son à la fois sur des ordinateurs conventionnels (...)
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Consent management platforms : Keys to compliance and user trust
14 juin, par JoeToday’s marketing managers and data analysts face a tricky balancing act : gaining meaningful customer insights while respecting user privacy. Finding ways to navigate the maze of complex privacy regulations while managing consent at scale can be daunting.
Consent management platforms (CMPs) offer a solution. They allow companies to collect data ethically, manage user consent efficiently, and comply with privacy regulations like Europe’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA).
This guide explains everything you need to know about CMPs : how they function, why they’re essential for data governance, and how they work hand-in-hand with analytics platforms to promote transparency and build trust with users.
What is a consent management platform (CMP) and what is it for ?
A consent management platform (CMP) helps organisations collect, organise, and store user consent for personal data processing purposes. In short, it’s a tool that ensures data collection respects user privacy and complies with regulations like the GDPR and CCPA.
Without a CMP, businesses could face hefty fines and penalties for violating data privacy laws in different parts of the world. This shows how vital these tools are to all modern businesses.
How do consent management platforms work ?
CMPs give users a clear and straightforward way to provide explicit consent for data collection. These platforms manage both the technical aspects of consent storage and the user experience on your site or app.
Here’s a simplified breakdown :
- Cookie consent banners : The CMP displays a banner whenever a user visits your website. This banner explains the types of personal information collected and for what purpose.
- User choice : The user can accept or reject cookies and trackers. They can often customise their preferences to choose which specific data types they’re willing to share.
- Preference storage : The CMP stores the user’s choices. This information helps ensure that you only collect and process the permitted data.
- Integration with other systems : CMPs integrate with other systems, such as analytics platforms and advertising networks, to ensure that data collection and processing comply with the user’s choices throughout the customer experience.
A key feature of CMPs is their role in shaping privacy policy design. This design encompasses the layout, visual elements, and cues employed to seek user consent.
A recent study by Karlstad University in Sweden showed that privacy policy design significantly influences user comprehension and willingness to disclose information. In other words, it affects consent rates considerably and is key to enhancing data collection.
Importance of consent management for compliance
As the world becomes increasingly interconnected, consent management is taking centre stage. Although it applies to all technologies and systems that gather or handle personal data, few instances are as relevant as smart homes.
Smart home devices have unique access to our personal spaces and private lives. They represent a unique challenge to consent management since one person is potentially granting access to personal data from themselves and other people who may be inside or around the house.
A 2023 study by the University College London and the University of Oxford pointed out that clear design principles and granular, contextual permission structures are essential in these situations.
However, consent management isn’t just best practice. It’s a widespread legal requirement. Not meeting these requirements can result in hefty penalties and reputational damage to your organisation.
Consent management under GDPR
The European Union’s GDPR is a data protection law applicable to organisations that process the personal data of individuals residing in the European Economic Area (EEA). It’s based on the principle of opting in.
The GDPR is one of the strongest data privacy laws globally. For non-compliance, fines can be up to €20 million or 4% of the company’s total global turnover (whichever is higher).
It’s also one of the most heavily enforced privacy laws. According to enforcementtracker.com, Meta was fined €1.2 billion in 2023, with GDPR fines reaching over €2 billion that year alone. In the UK, the largest GDPR fine is €22.05 million, according to Statista. It pays to comply.
The GDPR has specific rules around consent, including that it must be :
- Freely given : Users must not be pressured or coerced.
- Specific : Must be given for specific data processing purposes.
- Informed : Users must be provided with clear and concise information.
- Unambiguous : Permission must be granted through clear and affirmative action, such as checking a box or tapping a button.
CMPs help you meet these requirements by providing a transparent and user-friendly way to obtain and manage consent.
Consent management under CCPA
The CCPA is another privacy protection law for businesses collecting personal information from California residents. It grants Californians the right to know what data is being collected about them, to prevent it from being sold, and to request its deletion.
CMPs support CCPA compliance by enabling users to exercise their rights and ensuring transparent data collection practices.
Managing consent under other regulatory frameworks
In addition to the GDPR and CCPA, numerous other privacy regulations can impact your organisation. These regulations include :
- The COPPA in the US
- Brazil’s LGPD
- Japan’s APPI
- Canada’s PIPEDA.
- Australia’s Privacy Act 1988
A CMP will help streamline the process by providing a clear, practical framework to ensure you meet all applicable requirements.
Key features to look for in a CMP
Choosing the right CMP is crucial for global business.
Here are some key features to consider :
Custom banners
Consent banners are often among users’ first digital interactions with your brand. It should be clear, concise and visually appealing. Look for a CMP that allows you to :
- Customise the banner’s design to match your website’s branding and aesthetics.
- Control the banner’s positioning for optimal visibility.
End-user management tools
The CMP should also offer a user-friendly interface allowing visitors to grant, manage and withdraw consent.
This includes customisable banners, granular permissions, and a preference centre. The latter is a dedicated space where users can manage their preferences anytime.
Integration capabilities with existing systems
The CMP should integrate with your existing technology stack, including your analytics platform, marketing automation tools and CRM. This integration ensures a smooth workflow and prevents data silos.
How to select the right CMP for your organisation
To find the perfect CMP, focus on your specific needs and priorities. Here’s a step-by-step guide to help you make an informed decision :
Assessing organisational needs and goals
Start by clearly defining your organisation’s requirements. Consider the following :
- Types of data collected : What personal data do you collect (for example, cookies, IP addresses, location data) ?
- Compliance requirements : Which privacy regulations must you comply with (GDPR, CCPA, COPPA) ?
- Website or app complexity : How complex is your website or app in terms of user interactions and data collection points ?
- Budget : How much are you willing to invest in a CMP ?
Comparing features and pricing
Once you thoroughly understand your needs, you can compare the features and pricing of various CMPs. Look for key features like :
- Customisable banners
- Granular options
- Preference centre
- Integration with existing systems
- Analytics and reporting
Once you’ve shortlisted a few options, compare the pricing and choose the best value for your budget. Take advantage of free trials before committing to a paid plan.
Checking verified user reviews
Read user reviews on platforms like G2 or Trustpilot to get an idea of the strengths and weaknesses of different CMPs. Look for reviews from similar organisations regarding size, industry and compliance requirements.
Integration with a privacy-focused analytics platform
A consent management platform acts as the bridge between your users and your analytics and marketing teams. It ensures user preferences are communicated to your analytics setup, so data collection and analysis align with their choices and comply with privacy regulations.
Finding a consent manager integration that works with your analytics setup is essential for businesses.
Top five consent management platforms
The CMP market is pretty competitive, with many players providing excellent solutions. According to Emergen Research, it was valued at $320.9 million in 2021 and is growing at 21.2%.
Here are five of our top choices
1. usercentrics
usercentrics is a comprehensive CMP with customisable banners, granular consent options and a preference centre.
usercentrics geolocation rulesets page (Source : Usercentrics)
This Google-certified CMP allows you to create global and regional consent rules to ensure compliance with local regulations like GDPR, CCPA and LGPD. For a smooth implementation, usercentrics provides access to a knowledgeable support team and a dedicated customer success executive.
It’s worth noting that Usercentrics is the CMP we use here at Matomo. It helps us in our mission to collect and analyse data ethically and with a privacy-first mindset.
- Key features : Customisable banners, granular permissions, cross-domain and cross-device capabilities, automatic website scans, reporting and analytics.
- Pricing : Usercentrics offers a free plan and four paid subscription plans from €7 to €50 per month.
2. Osano
Osano is a user-friendly CMP focusing on transparency and ease of use.
Osano’s main dashboard (Source : Osano)
Osano can scan websites for tracking technologies without impacting the user experience.
- Key features : Customisable banners, multi-language support, granular consent options, a preference centre and access to a knowledgeable team of compliance specialists.
- Pricing : Osano offers a self-service free plan and a paid plan at $199 per month.
3. Cookiebot
Cookiebot is another popular CMP with numerous integration options, including Matomo and other analytics tools.
Cookiebot consent banner options (Source : Cookiebot)
- Key features : A cookie scanner, a privacy trigger or button allowing users to change their consent settings, a consent management API and advanced analytics.
- Pricing : Cookiebot offers a free plan and paid plans ranging from €7 to €50 per month.
4. CookieYes
CookieYes is well-suited for small businesses and websites with basic privacy needs.
CookieYes cookie banner options (Source : CookieYes)
It offers various features, including multilingual support, geo-targeting, privacy policy generation, and a preference centre. CookieYes also integrates with analytics and CMS tools, making it easy to implement as part of your stack.
- Key features : Customisable consent banners, granular consent options, preference centre, integration with Matomo, reporting and analytics.
- Pricing : You can use CookieYes for free or subscribe to one of their three paid plans, which range from $10 to $55 per month.
5. Tarte au Citron
Tarte au Citron is an open-source, lightweight, and customisable CMP developed in France.
(Source : Tarte au Citron)
Its focus is on transparency and user experience. It provides many features free of charge, but many do require some technical knowledge to deploy. There’s also a paid subscription with ongoing support and faster implementation.
Tarte au Citron integrates with Matomo, which is also open-source. If you’re building an open-source stack for your analytics, Matomo and Tarte au Citron make an excellent pair.
- Key features : Open-source, customisable consent banners, integration with Matomo, works with over 220 services.
- Pricing : You can deploy the open-source core for free, but Tarte au Citron offers three paid licenses starting at €190 for one year and reaching €690 for a lifetime license.
How to implement cookie consent the right way
Implementing cookie consent requires precision, time and effort. But doing it wrong can result in significant legal penalties and severe reputational damage, eroding user trust and impacting your brand’s standing. Here are the key dos and don’ts of consent :
Provide clear and concise information
Use plain language that is easy for anyone to understand. Avoid using technical terms or legal jargon that may confuse users.
Prioritise transparency
Be upfront about your data collection practices. Clearly state what data you collect, how you use it and who you share it with. Provide links to your privacy and cookie policies for users who want to learn more.
Offer granular control
Give users detailed control over as many of their cookie preferences as possible. Allow them to choose which categories of tracking cookies they consent to, such as strictly necessary, performance and marketing cookies.
Implement user-friendly banners
Ensure banners are prominently displayed, easy to understand, and use clear and concise language. Also, make sure they’re accessible to all users, including those with disabilities.
Respect “do not track” settings
It’s essential to honour users’ choices when they enable their “do not track” browser setting.
Document consent
Maintain a record of user consent. This will help you demonstrate compliance with data privacy regulations and provide evidence of user consent in case of an audit or investigation.
Regularly review and update consent policies
Review and update your customer consent policies regularly to ensure they comply with evolving data privacy regulations and reflect your current data collection practices.
Cookie consent pitfalls to avoid
Here are some common pitfalls to avoid that may lead to legal penalties, loss of user trust or inaccurate analytics :
- Avoid lengthy and complicated explanations. Overwhelming users with dense legal jargon or overly technical details can lead to consent fatigue and reduce the likelihood of informed consent.
- Don’t force users to accept all cookies or none. Blanket consent options violate user autonomy and fail to comply with regulations like the GDPR.
- Don’t make information about your data collection practices hard to find. Hidden or buried privacy policies breed suspicion and erode trust.
- Avoid pre-checking all cookie consents. Pre-checked boxes imply consent without explicit user action, which is not compliant with GDPR and similar regulations. Users must actively opt in, not out.
Emerging consent management trends
Consent management is constantly evolving and driven by new technologies, regulations, and user expectations. Here are some emerging trends to watch out for in the short term :
- Increased automation : AI and machine learning are helping automate consent management processes, making them more efficient and effective.
- Enhanced user experience : CMPs are becoming more user-friendly, focusing on providing an intuitive experience.
- Privacy-preserving analytics : CMPs are being integrated with privacy-preserving analytics platforms, such as Matomo, to enable organisations to gain insights into user behaviour without compromising privacy.
- Google Consent Mode : In 2024, Google rolled out Consent Mode v2 to align with the Digital Markets Act. Due to upcoming privacy regulations, more versions may be coming soon.
The Privacy Governance Report 2024 also highlights the increasing complexity of managing data privacy, with more than four in five privacy professionals taking on additional responsibilities in their existing roles. This trend will likely continue in the coming years as more privacy laws are enacted.
Addressing upcoming privacy regulations
Data privacy and user consent requirements continue to emerge and evolve. Businesses must stay informed and adapt their practices accordingly.
In 2025, several new privacy regulations are going into effect, including :
- New state-level privacy laws in eight US states :
- Delaware (1 January 2025)
- Iowa (1 January 2025)
- Nebraska (1 January 2025)
- New Hampshire (1 January 2025)
- New Jersey (15 January 2025)
- Tennessee (1 July 2025)
- Minnesota (31 July 2025)
- Maryland (1 October 2025)
- The EU’s Artificial Intelligence Act (which will be implemented from 1 August 2024 through 2 August 2026) and other AI-focused regulations.
- The UK Adequacy Decision Review has a deadline of 27 December 2025.
Organisations that collect, process or otherwise handle data from Europe and the above-named US states should proactively prepare for these changes by :
- Conducting regular privacy impact assessments
- Reviewing consent mechanisms regularly
- Implementing data minimisation strategies
- Providing user-friendly privacy controls
Future-proofing your consent management strategy
CMPs are essential for managing consent preferences, protecting user privacy, and earning customers’ trust through transparency and ethical data practices.
When choosing a CMP, you should consider key features such as integration capabilities, customisation options and user-friendly interfaces.
Integrating a CMP with a privacy-first analytics solution like Matomo allows you to collect and analyse data in a way that’s compliant and respectful of user preferences. This combination helps maintain data integrity while demonstrating a strong commitment to privacy.
Start your 21-day free trial today.
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Why Matomo is the top Google Analytics alternative
17 juin, par JoeYou probably made the switch to Google Analytics 4 (GA4) when Google stopped collecting Universal Analytics (UA) data in July 2023. Up to that point, UA had long been the default analytics platform, despite its many limitations.
This was mostly because everyone loved its free nature and simple setup. A Google account was all you needed — even a free legacy G-Suite account worked perfectly. Looking at the analytics for just about any website was easy.
That all changed with GA4, which addressed many of UA’s shortcomings by introducing a completely new way to model website data. Unfortunately, this also meant you couldn’t transfer historical data from UA into GA4, leading to more criticism.
Then there’s the added cost. GA4 is still free, but its limited functionality encourages you to upgrade to the enterprise version, Google Analytics 360 (GA360). Sure, you get lots of great functionality, less data sampling, and longer data retention periods, but it comes at a hefty price — $50,000 per year, to be exact.
There are other options, though, and Matomo Analytics is one of the best. It’s an open-source, privacy-centric platform that offers advanced features of GA360 and more.
In this article, we’ll compare GA4, GA360, and Matomo and give you what you need to make an informed decision.
Google Analytics 4 in a nutshell
Google Analytics 4 is a great tool to use to start learning about web analytics. But soon enough, you’ll likely find that GA4 doesn’t quite cover all of your needs.
For example, it can’t provide a detailed view of user experiences, and Google doesn’t offer dedicated support or onboarding. There are other shortcomings, too.
Data sampling
Google only processes a selected sample of website activity rather than every individual data point. Rather than looking at the whole picture, it sets a threshold and selects a [hopefully] representative sample for analysis.
This inevitably creates gaps in data. Google attempts to fill them in using AI and machine learning, inferring the rest from data patterns. Since the results rely on assumptions and estimates, they aren’t always precise.
In practical terms, this means that the accuracy of GA4 analysis will likely decline as website traffic increases.
Data collection limits
GA4’s 25 million monthly events limit seems like a lot, but they add up quickly.
All user interactions are recorded as events, including :
- Session start : User visits the site.
- Page view : User loads a page (tracked automatically).
- First visit : User accesses the site for the first time.
- User engagement : User stays on a page for a set time period.
- Scroll : User scrolls past 90% of the page (enhanced measurement).
- Click : User clicks on any element (links, buttons, etc.).
- Video start/complete : User starts or completes a video (enhanced measurement).
- File download : User downloads a file (enhanced measurement).
For context, consider a website averaging 50 events per session per user. If every user logs on every third day, on average, you’ll need 10,000 individual visitors a month to reach that 25 million. But that’s not the problem.
The problem is that collection limits in GA4 affect your ability to capture, secure, and analyse customer data effectively.
Customisation
GA4 users also face configuration limits that restrict their customisation options. For example :
- Audience limits : Since only 100 audiences are allowed, it’s necessary to combine or optimise segments rather than track too many small groups.
- Retention limits : Data retention is limited to only 14 months, so external storage solutions may be necessary in situations where historical data needs to be preserved.
- Conversion events : GA4 will only track up to 30 conversion events, so it’s best to focus on high-value interactions (e.g., purchases and lead form submissions).
- Event-scoped dimensions : Since e-commerce operations are limited to 50 event-scoped dimensions, they need to carefully consider custom dimensions and key metrics. This makes it important to be selective about which product details to track (color, size, discount code, etc.).
Data privacy
GA4 isn’t GDPR-compliant out of the box. In fact, Google Analytics 4 is banned in seven EU countries because they believe the way it collects and transfers data violates GDPR.
Data privacy regulations may or may not be a big concern, depending on where your customers are. However, if some are in the UK or any of the 30 countries that make up the European Economic Area (EEA), you must comply with the General Data Protection Regulation (GDPR).
It tells your customers that you don’t respect their data if you don’t. It can also get very expensive.
Limited attribution models
Attribution models track how different marketing touchpoints lead to a conversion (such as a purchase, sign-up, or lead generation). They help businesses understand which marketing channels and strategies are most effective in driving results.
GA4 supports only two of the six standard attribution models previously supported in Universal Analytics. Organisations wanting data-driven or last-click attribution models will find them in Google Analytics. But they’ll need to look elsewhere if they’re going to use any of these models :
- First click attribution
- Linear attribution
- Time decay attribution
- Position-based attribution (u-shaped)
GA360 isn’t a solution either
Fundamentally, GA360 is the same product as GA4, without the above limits and restrictions. For companies that pay $50,000 (or more) each year, the only changes involve how much data is collected, how long it stays and data sampling thresholds.
Above all, the GDPR-compliance issue remains. That can be a real problem for organisations with operations that collect personal data in the EEA or the UK.
And the problem could soon be much bigger than just those 31 countries. Many countries currently implementing data privacy laws are modelling their efforts on GDPR, which may rule out both GA4 and GA360.
What makes Matomo the top alternative ?
No data limits
One way to overcome all these challenges is to switch to Matomo Analytics.
There’s no data sampling and no data collection limits whatsoever with on-premise implementation. Matomo also supports all six attribution models, is open source and fully customisable and complies with GDPR out of the box.
Imagine trying to change your business strategy or marketing campaigns if you’re not confident that your data is reliable and accurate.
It’s no secret that data sampling can negatively affect the accuracy of the data, and inaccurate data can lead to poor decision-making.
With Matomo, there are no limits. We don’t restrict the size of containers within the Tag Manager nor the number of containers or tags within each container. You have more control over your customers’ data.
And you get to make your decisions based on all that data. That’s important because data quality is critical for high-impact decisions.
Open source
Open-source software allows anyone to inspect, audit, and improve the source code for security and efficiency. That means no hidden data collection, faster bug fixes, and no vendor lock-in. As a bonus, these things make complying with data privacy laws and regulations easier.
Matomo can also be modified in any way, which provides unlimited customisation possibilities. There’s also a very active developer community around Matomo, so you don’t have to make changes yourself — you can hire someone who has the technical knowledge and expertise. They can :
- Modify tracking scripts for advanced analytics
- Create custom attribution models, tracking methods and dashboards
- Integrate Matomo with any system (CRM, eCommerce, CMS, etc.)
Data ownership
Matomo’s open-source nature also means full data ownership. No third parties can access the data, and there’s no risk of Google using that data for ads or AI training. Furthermore, Matomo follows privacy-first tracking principles, meaning that there’s :
- No third-party data sharing
- Full user consent control
- Support for cookie-less tracking
- IP Anonymisation, by default
- Do Not Track (DNT) support
All of that underlines the fact that Matomo collects, stores, and tracks data 100% ethically.
On-premise and cloud-based options
You can use the Matomo On-Premise web analytics solution if local data privacy laws require that you store data locally. Here’s a helpful tip : many of them do. However, this might not be necessary.
Due to GDPR, several countries recognise the EEA as an acceptable storage location for their citizens’ data. That means servers hosted in any of those 30 countries are already compliant in terms of data location.
Alternatively, you could embrace modernity and choose Matomo Cloud — our servers are also in Europe. While GA4 and GA360 are cloud-based, Google’s servers are in the US, and that’s a big problem for GDPR.
Comprehensive analytics
If you need a sophisticated web analytics platform that offers full control of your data and you have privacy concerns, Matomo is a solid choice.
It has built-in behavioural analytics features like Heatmaps, Scroll Depth and Session Recording. These tools allow you to collect and analyse data without relying on cookies or resorting to data sampling.
Those standout features can’t be found in GA4 or GA360. Google also doesn’t offer an on-premise solution.
The one area where Matomo can’t compete with Google Analytics is in its tight integration with the Google ecosystem : Google Ads, Gemini and Firebase.
Key things to consider before switching to Matomo
There are pros and cons to switching from GA4 (or even GA360) to Matomo. That’s because no software is perfect. There are always tradeoffs somewhere. With Matomo, there are a few things to consider before switching :
- Learning curve. Matomo is a full-featured analytics platform with many advanced features (session replay, custom event tracking, etc.). That can overwhelm new users and take time to understand well enough to maximise the benefits.
- Technical resources. Choosing a Matomo On-Premise solution requires technical resources, such as a server and skills.
- Third-party integration. Matomo provides pre-built integration tools for about a hundred platforms. However, it’s open source, so technical resources are required. On the plus side, it does make it possible to add to the list of APIs and connectors.
Head-to-head : GA4 vs GA360 vs Matomo
It’s always helpful to look at how different products stack up in terms of features and capabilities :
GA4 GA360 Matomo Data ownership ✔ Event-based data ✔ ✔ ✔ Session-based data ✔ Unsampled data ✔ Real-time data ✔ ✔ ✔ Heatmaps ✔ Session recordings ✔ A/B testing ✔ Open source ✔ On-premise hosting ✔ Data privacy Subject to Google’s data policies Subject to Google’s data policies GDPR, CCPA compliant ; full control over data storage Custom dimensions Yes (limited in free version) Yes (higher limits) Yes (unlimited in self-hosted) Attribution models Last click, data-driven Last click, data-driven, advanced Google Ads integration Last click, first click, linear, time decay, position-based, custom Data retention Up to 14 months (free) Up to 50 months Unlimited (self-hosted) Integrations Google Ads, Search Console, BigQuery (limited in free version) Advanced integrations (Google Ads, BigQuery, Salesforce, etc.) 100+ integrations (Google Ads, WordPress, Shopify, etc.) BigQuery export Free (limited to 1M events/day) Free (unlimited) Paid add-on (via plugin) Custom reports Limited customisation Advanced customisation Fully customisable Scalability Suitable for small to medium businesses Designed for large enterprises Scalable without limits (self-hosted or cloud) Ease of use Simple, requires onboarding Steeper learning curve Flexible, setup-intensive. Pricing Free Premium (starts at $50,000/year) Free open-source (self-hosted) ; Cloud starts at $29/month So, is Matomo the right solution for you ?
That’d be a ‘yes’ if you want a Google Analytics alternative that ticks all these boxes :
- Complies natively with privacy laws and regulations
- Offers real-time data and custom event tracking
- Enables a deeper understanding of user behaviour
- Allows you to fine-tune user experiences
- Provides full control over your customers’ data
- Offers conversion funnels, session recordings and heatmaps
- Has session replay to trace user interactions
- Includes plenty of readily actionable insights
Find out why millions of websites trust Matomo
Matomo is an easy-to-use, all-in-one web analytics tool with advanced behavioural analytics functionality.
It’ll also help you future-proof your business because it supports compliance with global privacy laws in 162 countries. With an ethical alternative like Matomo, you don’t need to risk your business or customers’ private data.
It’s not just about avoiding fines. It’s also about building trust with your customers. That’s why you need a privacy-focused, ethical solution like Matomo.
See for yourself : download Matomo On-Premise today, or start your 21-day free trial of Matomo Cloud (no credit card required).
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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