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• 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.

  


• Choosing the best self-hosted open-source analytics platform

  16 juillet, par Joe

  Google Analytics (GA) is the most widely used analytics platform, with 50.3% of the top 1 million active websites using it today. You’re probably using it right now. 

  But despite being a free tool, Google Analytics is proprietary software, which means you’re handing over your browsing data, metadata and search history to a third party.

  Do you trust them ? We sure don’t.

  This lack of control can lead to potential privacy risks and compliance issues. These issues have so far resulted in fines under the EU’s General Data Protection Regulation (GDPR) of an average of €2.5 million each, for a total of almost €6.6 billion since 2018.

  Open-source analytics platforms offer a solution. They’re a safer and more transparent alternative that lets you retain full control over how you collect and store your customers’ data. But what are these tools ? Where do you find them ? And, most importantly, how do you choose the best one for your needs ?

  This guide explores the benefits and features of open-source analytics platforms and compares popular options, including Matomo, a leading self-hosted, open-source Google Analytics alternative.

  What is an open-source analytics platform ?

  An analytics platform is software that collects, processes and analyses data to gain insights, identify trends, and make informed decisions. It helps users understand past performance, monitor current activities and predict future outcomes.

  An open-source analytics platform is a type of analytics suite in which anyone can view, modify and distribute the underlying source code.

  In contrast to proprietary analytics platforms, where a single entity owns and controls the code, open-source analytics platforms adhere to the principles of free and open-source software (FOSS). This allows everyone to use, study, share, and customise the software to meet their needs, fostering collaboration and transparency.

  Open-source analytics and the Free Software Foundation

  The concept of FOSS is rooted in the idea of software freedom. According to the Free Software Foundation (FSF), this idea is defined by four fundamental freedoms granted to the user the freedom to :

  • Use or run the program as they wish, for any purpose.
  • Study how the program works and change it as they wish.
  • Redistribute copies to help others.
  • Improve the code and distribute copies of their improved versions to others.

  Open access to the source code is a precondition for guaranteeing these freedoms.

  The importance of FOSS licensing

  The FSF has been instrumental in the free software movement, which serves as the foundation for open-source analytics platforms. Among other things, it created the GNU General Public Licence (GPL), which guarantees that all software distributions include the source code and are distributed under the same licence.

  However, other licences, including several copyleft and permissive licences, have been developed to address certain legal issues and loopholes in the GPL. Analytics platforms distributed under any of these licences are considered open-source since they are FSF-compliant.

  Benefits and drawbacks of open-source analytics platforms

  Open-source analytics platforms offer a compelling alternative to their proprietary counterparts, but they also have a few challenges.

  

  Benefits of open-source analytics

  • Full data ownership : Many open-source solutions let you host the analytics platform yourself. This gives you complete control over your customers’ data, ensuring privacy and security.
  • Customisable solution : With access to the source code, you can tailor the platform to your specific needs.
  • Full transparency : You can inspect the code to see exactly how data is collected, processed and stored, helping you ensure compliance with privacy regulations.
  • Community-driven development : Open-source projects benefit from the contributions of a global community of developers. This leads to faster innovation, quicker bug fixes and, in some cases, a wider range of features.
  • No predefined limits : Self-hosted open-source analytics platforms don’t impose arbitrary limits on data storage or processing. You’re only limited by your own server resources.

  Cons of open-source analytics

  • Technical expertise required : Setting up and maintaining a self-hosted open-source platform often requires technical knowledge.
  • No live/dedicated support team : While many projects have active communities, dedicated support might be limited compared to commercial offerings.
  • Integration challenges : Integrating with other tools in your stack might require custom development, especially if pre-built integrations aren’t available.
  • Feature gaps : Depending on the specific platform, there might be gaps in functionality compared to mature proprietary solutions.

  Why open-source is better than proprietary analytics

  Proprietary analytics platforms, like Google Analytics, have long been the go-to choice for many businesses. However, growing concerns around data privacy, vendor lock-in and limited customisation are driving a shift towards open-source alternatives.

  No vendor lock-in

  Proprietary platforms lock you into their ecosystem, controlling terms, pricing and future development. Migrating data can be costly, and you’re dependent on the vendor for updates. 

  Open-source platforms allow users to switch providers, modify software and contribute to development. Contributors can also create dedicated migration tools to import data from GA and other proprietary platforms.

  Data privacy concerns

  Proprietary analytics platforms can heighten the risk of data privacy violations and subsequent fines under regulations like the GDPR and the California Consumer Privacy Act (CCPA). This is because their opaque ‘black box’ design often obscures how they collect, process and use data. 

  Businesses often have limited visibility and even less control over a vendor’s data handling. They don’t know whether these vendors are using it for their own benefit or sharing it more widely, which can lead to privacy breaches and other data protection violations.

  These fines can reach into the millions and even billions. For example, Zoom was fined $85 million in 2021 for CCPA violations, while the largest fine in history has been the €1.2 billion fine imposed on Meta by the Irish Data Protection Act (DPA) under the EU GDPR.

  Customisation

  Proprietary platforms often offer a one-size-fits-all approach. While they might have some customisation options, you’re ultimately limited by what the vendor provides. Open-source platforms, on the other hand, offer unparalleled flexibility.

  Unlimited data processing

  Proprietary analytics platforms often restrict the amount of data you can collect and process, especially on free plans. Going over these limits usually requires upgrading to a paid plan, which can be a problem for high-traffic websites or businesses with large datasets. 

  Self-hosted tools only limit data processing based on your server resources, allowing you to collect and analyse as much data as you need at no extra cost.

  No black box effect

  Since proprietary tools are closed-source, they often lack transparency in their data processing methods. It’s difficult to understand and validate how their algorithms work or how they calculate specific metrics. This “black box” effect can lead to trust issues and make it challenging to validate your data’s accuracy.

  11 Key features to look for in an open-source analytics platform

  Choosing the right open-source analytics platform is crucial for unlocking actionable insights from your customers’ data. Here are 11 key features to consider :

  

  #1. Extensive support documentation and resource libraries

  Even with technical expertise, you might encounter challenges or have questions about the platform. A strong support system is essential. Look for platforms with comprehensive documentation, active community forums and the option for professional support for mission-critical deployments.

  #2. Live analytics

  Having access to live data and reports is crucial for making timely and informed decisions. A live analytics feature allows you to :

  • Monitor website traffic as it happens.
  • Optimise campaign performance tracking.
  • Identify and respond to issues like traffic spikes, drops or errors quickly, allowing for rapid troubleshooting.

  For example, Matomo updates tracking data every 10 seconds, which is more than enough to give you a live view of your website performance.

  #3. Personal data tracking

  Understanding user behaviour is at the heart of effective analytics. Look for a platform that allows you to track personal data while respecting privacy. This might include features like :

  • Creating detailed profiles of individual users and tracking their interactions across multiple sessions.
  • Track user-specific attributes like demographics, interests or purchase history.
  • Track user ID across different devices and platforms to understand user experience.

  #4. Conversion tracking

  Ultimately, you want to measure how effective your website is in achieving your business goals. Conversion tracking allows you to :

  • Define and track key performance indicators (KPIs) like purchases, sign-ups or downloads.
  • Identify bottlenecks in the user journey that prevent conversions.
  • Measure the ROI of your marketing campaigns.

  #5. Session recordings

  Session recordings give your development team a qualitative understanding of user behaviour by letting you watch replays of individual user sessions. This can help you :

  • Identify usability issues.
  • Understand how users navigate your site and interact with different elements.
  • Uncover bugs or errors.

  #6. A/B testing

  Experimentation is key to optimising your website and improving conversion rates. Look for an integrated A/B testing feature that allows you to :

  • Test different variations of your website in terms of headlines, images, calls to action or page layouts.
  • Measure the impact on key metrics.
  • Implement changes based on statistically significant differences in user behaviour patterns, rather than guesswork.

  #7. Custom reporting and dashboards

  Every business has unique reporting needs. Look for a flexible platform that allows you to :

  • Build custom reports that focus on the metrics that matter most to you.
  • Create personalised dashboards that provide a quick overview of those KPIs.
  • Automate report generation to save your team valuable time.

  #8. No data sampling

  Data sampling can save time and processing power, but it can also lead to inaccurate insights if the sample isn’t representative of the entire dataset. The solution is to avoid data sampling entirely.

  Processing 100% of your customers’ data ensures that your reports are accurate and unbiased, providing a true picture of customer behaviour.

  #9. Google Analytics migration tools

  If you’re migrating from Google Analytics, a data export/import tool can save you time and effort. Some open-source analytics projects offer dedicated data importers to transfer historical data from GA into the new platform, preserving valuable insights. These tools help maintain data continuity and simplify the transition, reducing the manual effort involved in setting up a new analytics platform.

  #10 A broad customer base

  The breadth and diversity of an analytics platform’s customer base can be a strong indicator of its trustworthiness and capabilities. Consider the following :

  • Verticals served
  • The size of the companies that use it
  • Whether it’s trusted in highly-regulated industries

  If a platform is trusted by a large entity with stringent security and privacy requirements, such as governments or military branches, it speaks volumes about its security and data protection capabilities.

  #11 Self-hosting

  Self-hosting offers unparalleled control over your customers’ data and infrastructure.

  Unlike cloud-based solutions, where your customers’ data resides on third-party servers, self-hosting means you manage your own servers and databases. This approach ensures that your customers’ data remains within your own infrastructure, enhancing privacy and security.

  There are other features, like analytics for mobile apps, but these 11 will help shortlist your options to find the ideal tool.

  Choosing your self-hosted open-source analytics platform : A step-by-step guide

  The right self-hosted open-source analytics platform can significantly impact your data strategy. Follow these steps to make the best choice :

  

  Step #1. Define your needs and objectives

  Begin by clearly outlining what you want to achieve with your analytics platform :

  • Identify relevant KPIs.
  • Determine what type of reports to generate, their frequency and distribution.
  • Consider your privacy and compliance needs, like GDPR and CCPA.

  Step #2. Define your budget

  While self-hosted open-source platforms are usually free to use, there are still costs associated with self-hosting, including :

  • Server hardware and infrastructure.
  • Ongoing maintenance, updates and potential support fees.
  • Development resources if you plan to customise the platform.

  Step #3. Consider scalability and performance

  Scaling your analytics can be an issue with self-hosted platforms since it means scaling your server infrastructure as well. Before choosing a platform, you must think about :

  • Current traffic volume and projected growth.
  • Your current capacity to handle traffic.
  • The platform’s scalability options.

  Step #4. Research and evaluate potential solutions

  Shortlist a few different open-source analytics platforms that align with your requirements. In addition to the features outlined above, also consider factors like :

  • Ease of use.
  • Community and support.
  • Comprehensive documentation.
  • The platform’s security track record.

  Step #5. Sign up for a free trial and conduct thorough testing

  Many platforms offer free trials or demos. Take advantage of these opportunities to test the platform’s features, evaluate the user interface and more.

  You can embed multiple independent tracking codes on your website, which means you can test multiple analytics platforms simultaneously. Doing so helps you compare and validate results based on the same data, making comparisons more objective and reliable.

  Step #6. Plan for implementation and ongoing management

  After choosing a platform, follow the documentation to install and configure the software. Plan how you’ll migrate existing data if you’re switching from another platform.

  Ensure your team is trained on the platform, and establish a plan for updates, security patches and backups. Then, you’ll be ready to migrate to the new platform while minimising downtime.

  Top self-hosted open-source analytics tools

  Let’s examine three prominent self-hosted open-source analytics tools.

  Matomo

  Main Features	Analytics updated every 10 seconds, custom reports, dashboards, user segmentation, goal tracking, e-commerce tracking, funnels, heatmaps, session recordings, A/B testing, SEO tools and more advanced features.
  Best for	Businesses of all sizes and from all verticals. Advanced users
  Licencing	GPLv3 (core platform).Various commercial licences for plugins.
  Pricing	Self-hosted : Free (excluding paid plugins).Cloud version : Starts at $21.67/mo for 50K website hits when paid annually.

  

  Matomo Analytics dashboard

  Matomo is a powerful web analytics platform that prioritises data privacy and user control. It offers a comprehensive suite of features, including live analytics updated every 10 seconds, custom reporting, e-commerce tracking and more. You can choose between a full-featured open-source, self-hosted platform free of charge or a cloud-based, fully managed paid analytics service.

  Matomo also offers 100% data ownership and has a user base of over 1 million websites, including heavyweights like NASA, the European Commission, ahrefs and the United Nations.

  Plausible Analytics

  Main Features	Basic website analytics (page views, visitors, referrers, etc.), custom events, goal tracking and some campaign tracking features.
  Best for	Website owners, bloggers and small businesses.Non-technical users.
  Licencing	AGPLv3.
  Pricing	Self-hosted : FreeCloud version : Starts at $7.50/mo for 10K website hits when paid annually.

  

  Plausible Analytics 
  (Image source)

  Plausible Analytics is a lightweight, privacy-focused analytics tool designed to be simple and easy to use. It provides essential website traffic data without complex configurations or intrusive tracking.

  Fathom Lite & Fathom Analytics

  Main features	Basic website analytics (page views, visitors, referrers, etc.), custom events and goal tracking.
  Best for	Website owners and small businesses.Non-technical users.
  Licencing	Fathom Lite : MIT Licence (self-hosted).Fathom Analytics : Proprietary.
  Pricing	Fathom Lite : Free but currently unsupported.Cloud version : Starts at $12.50/month for up to 50 sites when paid annually.

  

  Fathom Analytics 
  (Image source)

  Fathom started as an open-source platform in 2018. But after the founders released V1.0.1, they switched to a closed-source, paid, proprietary model called Fathom Analytics. Since then, it has always been closed-source.

  However, the open-source version, Fathom Lite, is still available. It has very limited functionality, uses cookies and is currently unsupported by the company. No new features are under development and uptime isn’t guaranteed.

  Matomo vs. Plausible vs. Fathom

  Matomo, Plausible, and Fathom are all open-source, privacy-focused alternatives to Google Analytics. They offer features like no data sampling, data ownership, and EU-based cloud hosting.

  Here’s a head-to-head comparison of the three :

  	Matomo	Plausible	Fathom
  Focus	Comprehensive, feature-rich, customizable	Simple, lightweight, beginner-friendly	Simple, lightweight, privacy-focused
  Target User	Businesses, marketers and analysts seeking depth	Beginners, bloggers, and small businesses	Website owners and users prioritising simplicity
  Open Source	Fully open-source	Fully open-source	Limited open-source version
  Advanced analytics	Extensive	Very limited	Very limited
  Integrations	100+	Limited	Fewer than 15
  Customisation	High	Low	Low
  Data management	Granular control, raw data access, complex queries	Simplified, no raw data access	Simplified, no raw data access
  GDPR features	Compliant by design, plus GDPR Manager	Guides only	Compliant by design
  Pricing	Generally higher	Generally lower	Intermediate
  Learning curve	Steeper	Gentle	Gentle

  The open-core dilemma

  Open-source platforms are beneficial and trustworthy, leading some companies to falsely market themselves as such.

  Some were once open-source but later became commercial, criticised as “bait-and-switch.” Others offer a limited open-source “core” with proprietary features, called the “open core” model. While this dual licensing can be ethical and sustainable, some abuse it by offering a low-value open-source version and hiding valuable features behind a paywall.

  However, other companies have embraced the dual-licensing model in a more ethical way, providing a valuable solution with a wide range of tools under the open-source license and only leaving premium, non-essential add-ons as paid features.

  Matomo is a prime example of this practice, championing the principles of open-source analytics while developing a sustainable business model for its users’ benefit.

  Choose Matomo as your open-source data analytics tool

  Open-source analytics platforms offer compelling advantages over proprietary solutions like Google Analytics. They provide greater transparency, data ownership and customisation. Choosing an open-source analytics platform over a proprietary one gives you more control over your customers’ data and supports compliance with user privacy regulations.

  With its comprehensive features, powerful tools, commitment to privacy and active community, Matomo stands out as a leading choice. Make the switch to Matomo for ethical, user-focused analytics.

  Try Matomo for free.

• Enterprise web analytics : Quick start guide (and top tools)

  10 juillet, par Joe — Analytics Tips

  Without data, you’ll get lost in the sea of competition.

  This is even more important for large organisations.

  Data helps you :

  • Optimise customer experiences
  • Navigate complex business decisions
  • Create a roadmap to sustainable brand growth
  • Data can power differentiation, especially within fiercely competitive sectors.

  How do you get the benefits of data in a large organisation ?

  Enterprise web analytics.

  In this guide, we’ll cover everything you need to know about enterprise web analytics to enhance website performance, improve customer experiences and increase conversions.

  What is enterprise web analytics ?

  Enterprise web analytics help large organisations capture, analyse, and act on website data to optimise customer experiences and make informed decisions. By providing insight into customer interactions, user behaviour and preferences, they’re vital in helping big businesses improve their websites.

  

  Enterprise web analytics can extract data from web pages and reveal a range of performance metrics, including :

  • Pageviews
  • Average time on page
  • Actions per visit
  • Bounce rate
  • Conversions
  • Traffic sources
  • Device type
  • Event tracking
  • And more

  You can track this data daily or access monthly reports, which will give you valuable insights into optimising user engagement, improving your website’s search engine traffic, and meeting business goals like increased conversion rates.

  For large organisations, web analytics isn’t just about measuring traffic. Instead, it’s an asset you can use to identify issues in your web strategy so you can gain insights that will fuel sustainable business growth.

  An advanced analytics strategy goes beyond the digital channels, page views and bounce rates of traditional analytics.

  Instead, modern web analytics incorporates behavioural analytics for deeper analysis and insight into user experiences. These advanced features include :

  • Heatmaps (or scroll maps) to track scroll behaviour on each page
  • User flow reports to see the pages your users visit in the customer journey
  • Session recordings to analyse user interactions (step-by-step)

  Taking a two-pronged approach to web analytics that includes both traditional and behavioural metrics, organisations get a clearer picture of users and their brand interactions.

  Different needs of enterprise companies

  Let’s dive deeper into the different needs of enterprise companies and how enterprise web analytics can help solve them :

  Access more storage

  Let’s face it. Large organisations have complex IT infrastructures and vast amounts of data.

  The amount of data to capture, analyse and store isn’t slowing down anytime soon.

  Enterprise web analytics can help handle and store large amounts of data in ways that serve the entire organisation.

  Enable cross-organisational data consumption

  It’s one thing to access data in a small company. You’ve got yourself and a few employees. That’s easy.

  But, it’s another thing to enable an organisation with thousands of employees with different roles to access complex data structures and large amounts of data.

  Enterprise web analytics allows big companies to enable their entire workforce to gain access to the data they need when they need it.

  Increase security

  As mentioned above, large organisations can use enterprise web analytics to help hundreds or even thousands of employees access their web data.

  However, some data shouldn’t be accessed by every type of employee. For example, some organisations may only want certain data accessed by executives, and some employees may not need to access certain types of data that may confuse or overwhelm them.

  Enterprise web analytics can help you grant access to certain types of data based on your role in the company, ensuring the security of sensitive data in your organisation.

  Improve privacy

  You can keep your data secure from internal breaches with enterprise web analytics. But, how do you protect customer data ?

  With all-inclusive privacy measures.

  To ensure that your customers’ privacy and data are protected, choose a web analytics solution that’s compliant with the latest and most important privacy measures, such as GDPR, LGPD and CCPA.

  Taking a privacy-first approach to data helps ensure your protection from potential legal action or fines.

  Enterprise web analytics best practices

  Want to make sure you get the most out of your web analytics strategy ?

  

  Be clear on what metrics you want to track

  You can track a ton of data in your organisation, but you may not need to. To ensure you’re not wasting time and resources tracking irrelevant numbers, you should make sure you’re clear from day one on the metrics you want to track.

  Start by making a list of key data points relevant to your business.

  For example, if you have an online marketplace, you’ll want to track specific ecommerce metrics like conversion rate, total visits, bounce rates, traffic source, etc.

  Don’t take data at face value

  Numbers alone can’t tell you the whole story of what’s happening in your organisation. It’s crucial you add context to your data, no matter what.

  Dozens of factors could impact your data and visitors’ interactions with your site, so you should always try to look beyond the numbers to see if there are other factors at play.

  For example, you might see that your site traffic is down and think your search engine optimisation (SEO) efforts aren’t working. Meanwhile, there could have been a major Google algorithm update or some sort of seasonality in a key market.

  On the other hand, you might see some positive signals that things are going well with your organic social media strategy because you saw a large influx of traffic from Instagram. But, there could be more to the story.

  For example, an Instagram influencer with five million followers may have just posted a reel reviewing your product or service without you knowing it, leading to a major traffic spike for your website.

  Remember to add notes to your web analytics data if necessary to ensure you can reference any insights from your data to maintain that point of context.

  Ensure your data is accurate

  With web analytics, data is everything. It will help you see where your traffic is coming from, how your users are behaving, and gain actionable insights into how you can improve your website and user experience.

  But if your data isn’t accurate, your efforts will be futile.

  Accurate data is crucial for launching an effective web analytics strategy. Data sampling and simple tracking errors can lead to inaccurate numbers and misleading conclusions. 

  If a tool relies on cookies to collect data, then it’s relying on a faulty data collection system. Cookies give users the option to opt out of tracking, making it challenging to get a clear picture of every user interaction.

  For example, some platforms like Google Analytics use data sampling to make predictions about traffic rather than relying on accurate data collection, leading to inaccurate numbers and conclusions.

  To ensure you’re making decisions based on accurate data, find a solution that doesn’t rely on inaccurate data collection methods like data sampling or cookies.

  Lean on visual data tools to improve analysis

  Enterprise organisations deal with a ton of data. There are endless data points to track, and it can be easy to lose track of what’s going on with the bigger picture.

  One of the best ways to interpret your data is to use a data visualisation tool to integrate with your web analytics solution, like Looker or PowerBI.

  Make sure your chosen platform lets you export your data easily so you can link it with a visual support tool.

  With Matomo, you can easily export your data into Google BigQuery to warehouse your customer data and visualise it through other tools (without the need for APIs, scripts or additional tools).

  Use advanced web analytics

  Web analytics is quite broad, and different tools will offer various features you can access in your analytics dashboard.

  Take advantage of advanced features that utilise both traditional and behavioural data for deeper insights.

  • Use heatmaps to better understand what parts of your web pages your visitors are focusing on to improve conversion rates.
  • Review session recordings to see the exact steps your customers take as they interact with your website.
  • Conduct A/B tests to see which call to action, headline, or image provides the optimal user experience.

  There are dozens of advanced features available, so take the time to make sure your chosen tool has everything you need.

  Choose a privacy-focused tool

  Obviously, not every tool is created equal, and most of the software on the market isn’t suitable for enterprise businesses.

  As a large organisation, the most important step is to choose a trusted enterprise web analytics tool to ensure it’s capable of fitting within a company of your size.

  It needs to have great infrastructure and be able to handle large amounts of data.

  Another crucial factor is to check that the tool is compatible with your website or app. Does it integrate easily with it ? What about your other software ? Will it integrate with those as well and fit into your current tech stack ?

  Most importantly, you need a platform that can provide the data and insights your organisation needs.

  Make sure the tool you choose is GDPR-compliant and privacy-friendly. The last thing you want is to be sued or fined because you chose the wrong software. 

  Consumers are growing more cautious about privacy and data risks, so picking a privacy-focused tool will help build trust with customers.

  Top 5 enterprise web analytics tools

  Now that you understand enterprise web analytics and how to get the most out of it, it’s time to talk about tools.

  You need to make sure you’re using the right web analytics software to improve productivity, optimise website performance and grow your brand without compromising on the infrastructure required for large organisations to thrive.

  Here are five of the best enterprise solutions available :

  Features and pricing comparison

  	GDPR compliant	On-premise option	100% data ownership	Traditional analytics	Behavioural analytics	Awarded best enterprise software
  Matomo	✔️	✔️	✔️	✔️	✔️	✔️
  Amplitude	✔️	✔️			✔️
  Adobe	✔️			✔️	✔️
  GA360				✔️
  Contentsquare	✔️	✔️			✔️	✔️

  Use Matomo to power your website analytics

  Web analytics help enterprise organisations reach new users, improve engagement with current users or grow their web presence.

  These advanced solutions support cross-organisational data consumption, enhance data privacy and security and allow brands to create the web experiences they know customers will love.

  

  Matomo can help you unlock the potential of your website strategy with traditional and behavioural analytics and accurate data. Trusted by over 1 million websites, Matomo’s open-source software is an ethical web solution that helps organisations of all sizes improve decision-making and customer experiences without compromising on privacy or security.

  Start your free 21-day trial now. No credit card required.