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• What’s new in Piwik 2.16.0 ?

  1er février 2016, par Matthieu Aubry — About, Development, Uncategorized

  In this blog post we showcase what is new in Piwik 2.16.0 and why you should upgrade your Piwik to this latest release !

  Piwik 2.16.0 is currently in Release Candidate and you can already use it by following these simple instructions. Piwik 2.16.0 will be officially released in a few days.

  To see the list of all 250+ changes, read the Piwik 2.16.0 changelog.

  Long Term Support for Piwik 2.X

  Piwik 2.16.0 is our Long Term Support version for Piwik 2. Learn more about Piwik LTS.

  New : Custom Dimensions feature

  With Custom Dimensions you can assign any custom data to your visitors or actions (like pages, events, …) and then visualize the reports of how many visits, conversions, pageviews, etc. there were for each Custom Dimension. They are similar to Custom Variables see the comparison of Custom Dimensions and Custom Variables.

  The new Custom Dimensions plugin is available on the Piwik Marketplace.

  Learn more about creating, tracking, reporting, managing, segmenting custom dimensions in the Custom Dimensions user guide.

  

  

  

  View the list of all visitors who reached a specific goal

  All Goal reports now include a link below the Goal report summary, that lets you see in one click all users that have converted any of your Goals :

  

  Events reports : option to view all columns : min, max and avg values

  By default in Actions > Events report, the columns displayed are “Total events” (Total number of events) and “Total value” (the sum of event values). It is now possible to click on the footer icon to view more detailed columns about event values : minimum event value, maximum event value, and average event value.

  

  Allow zoom to country in realtime visitor map

  In the real time map in Piwik (which displays your users activity appearing in real time !), it is now possible to zoom on a given country :

  

  Export all Records : new ‘all’ option in the Row limit selector

  It is now possible to export all of the data in your reports directly from the user interface ! Select ‘all’ in the row limit selector before exporting your data reports :

  

  New themes on the Marketplace !

  Feel like a change of colors ? Try out the new community submitted Piwik Themes on the Marketplace ! Learn how to install a new theme in Piwik (in only a few clicks).

  

  Let Super User view and edit segments created by other users

  As a Super User of Piwik, it can be very useful to view all Custom Segments created by all users. Starting in Piwik 2.16.0 any Super User can now view all Segments for a given website in the Segment selector :

  • Segments that are shared with All users will now appear below a section “Shared with you :” (a segment can be shared to all users by any admin user by selecting “This segment is visible to All Users” in the Segment editor)
  • Segments that are not shared with anyone are now also visible under the section “Visible to you because you have Super User access :”

  

  New segment ‘deviceBrand’ to segment by Device Brand

  You can now segment by device brands such as Apple, Samsung, LG, Google, Nokia, Sony, Lenovo, Alcatel, etc. The complete list of device brands you can use is listed on the Segmentation developer guide.

  

  New segment ‘actionType’ to view only particular Actions types (pagesviews, downloads, outlinks, events…)

  Use the new “Action type” segment to view only particular actions such as : pageviews, contents, sitesearches, events, outlinks and downloads.

  

  New segment : ‘actionUrl’ to view any actions that matches a given URL

  Use the new “Action URL” segment to view any action that matches a given URL, whether they are Pageviews, Site searches, Contents, Downloads or Events.

  

  New segment operators : “Starts with” and “Ends with”

  The new segment operators “Starts with” and “Ends with” can come handy when creating Custom Segments, and complement well the existing segment operators : Contains, Does not contain, Equals, Not equals, Greater than or equal to, Less than or equal to.

  

  Learn more about Segmentation in our user guides or in the Segmentation developer guide.

  Making Piwik more accessible

  Web accessibility refers to the inclusive practice of removing barriers that prevent interaction with, or access to applications or websites, by people with disabilities. When sites are correctly designed, developed and edited, all users have equal access to information and functionality.

  In Piwik 2.16.0, and with the help of high school students from the Catalyst Academy, we have made several improvements that make Piwik more accessible :

  • Menu now include the ARIA metadata (to make menus easier to navigate and use)
  • Page titles and various key tooltips have been improved (to give a better context to the data)
  • Keyboard access has been much improvement and Piwik is starting to be usable with the keyboard ! (this is very useful as many users are not able to use a mouse, and they should be able to view Piwik reports with the keyboard only)
  • ‘Skip to main content’ link (when pressing the TAB key) now skips the cursor to the page content.
  • Search bar was further improved : try it by pressing the ‘f’ key (useful to open any Piwik report or page without using the mouse)

  New user preference : display times either as 24h format or AM/PM format

  Users can now select whether times should be displayed in 24h format (16:20) or in AM/PM format (4:20pm)

  

  Other admins and Super Users are not visible to users with ‘admin’ permissions anymore

  Piwik 2.16.0 just became even more respectful of your privacy : any user you created and assigned an “admin” permission will not be able to view all other usernames anymore. This change was requested by many Piwik users who rightfully preferred not to disclose all usernames to any ‘admin’ user.

  As a result of this change, when a user with ‘admin’ permission (admin user) wants to give additional permission to another user (target user), the admin user will now need to know the target username and enter it in the Manage Users interface :

  

  New Config file viewer

  A new menu entry Administration > Diagnostics > Config file, lets Super Users view all config values in the UI :

  This new screen serves several purposes :

  • help Piwik administrators discover and learn about all the possible config file settings that Piwik offers.
  • let Super Users and Admins easily view any overridden config.ini.php INI setting without having to open the config file on the server.

  

  New report ‘Personal settings > Custom Variables’ displays custom variable usage

  A new report visible to Super Users lets you see how your Custom Variables slots are being used, which ones are still unused, and how many times a given custom variable name was used.

  

  Learn more about Custom Variables.

  Improvements to Heartbeat feature to accurately count time spent on the last page

  The heartbeat feature which lets you accurately track how long do visitors spend on your website, has been improved in 2.16.0. If you would like to measure how long do people spend on your pages (even if they don’t interact with your website or app), then consider using the heartbeat feature. Learn more in our guide Accurately measure the time spent on each page.

  

  New AnonymousPiwikUsageMeasurement plugin
  

  AnonymousPiwikUsageMeasurement plugin was created for those who would like to measure how their Piwik services is being used. This plugin also sends anonymised tracking data to our demo-anonymous.piwik.org which will help us learn how your Piwik is used and how we could improve the application. Learn more about AnonymousPiwikUsageMeasurement plugin.

  

  Show a warning when Piwik is used as a SuperUser via HTTP

  It is highly recommended to use HTTPS (SSL) for your Piwik server. If you are logged in as a Super User and viewing any Administration pages, you will now see a warning notification message at the top of the screen inviting you to use HTTPS :

  

  MySQL 5.7+ support

  The awesome Piwik community has helped us identify several issues with MySQL 5.7 support and Piwik is now fully compatible with the latest MySQL version 5.7+. Piwik is officially compatible with MySQL >= 4.1 and up to Mysql 5.7 ! Piwik is also compatible with MariaDB.

  

  Better detection of new devices and robots

  Our Device Detector library can now detect many new types of devices : smart TVs, new tablets and mobile phones, and more. New bots were added to our list of bots to keep your analytics report meaningful.

  Learn more : What Device Detector is able to detect, About Device Detector.

  New Referrer Spammers

  Every week we keep updating our community-list of referrer spammers. More than 50 new spammers were added since the last Piwik release !

  Note that the list of referrer spammer is automatically updated every week in your Piwik, so you need to wait at most one week to benefit from the very latest list.

  Learn more about Stopping Referrer Spam in Analytics reports.

  

  Ability to support new SMS providers to send Scheduled Reports by text message

  When you create scheduled reports in Piwik, you can specify one or several email addresses (to send reports by email) and you can also configure phone numbers (so your reports are sent to your phone via text message). So far we only support one SMS Provider “Clockwork SMS” but it is now possible for anyone to create a very simple plugin that adds a new SMS Provider to Piwik.

  A new SMS Provider plugin was released on the Marketplace : FreeMobileMessaging. If you have a favorite SMS Provider, we encourage you to create a new plugin for it !

  Piwik Consulting mentions

  A few new mentions of Piwik Consultants were added into Piwik to let users know that they can get Professional Help, and additional services and products. For example a new widget was added to the default dashboard. If you provide your Piwik service to your own clients, maybe you would like to remove the Professional services widget and other ads, see this FAQ : How do I remove from Piwik the links to “Piwik Consultants” or to “Professional Services” ?

  Stability, Reliability and Performance

  Dozens of other bugs were fixed (including several Major bugs) and many small improvements are included in this release. All these changes make Piwik more stable and reliable, as well as easier to troubleshoot and maintain. We are proud to be able to offer Piwik 2.16.0 as our Long Term Support release !

  If you have any feedback, questions, suggestion, or bug to report, please join our Piwik Community Forums.

  We hope you will love this 2.16.0 release as much as we loved making it.

  Happy Analytics !

• A Complete Guide to Metrics in Google Analytics

  11 janvier 2024, par Erin

  There’s no denying that Google Analytics is the most popular web analytics solution today. Many marketers choose it to understand user behaviour. But when it offers so many different types of metrics, it can be overwhelming to choose which ones to focus on. In this article, we’ll dive into how metrics work in Google Analytics 4 and how to decide which metrics may be most useful to you, depending on your analytics needs.

  However, there are alternative web analytics solutions that can provide more accurate data and supplement GA’s existing features. Keep reading to learn how to overcome Google Analytics limitations so you can get the more out of your web analytics.

  What is a metric in Google Analytics ?

  In Google Analytics, a metric is a quantitative measurement or numerical data that provides insights into specific aspects of user behaviour. Metrics represent the counts or sums of user interactions, events or other data points. You can use GA metrics to better understand how people engage with a website or mobile app. 

  Unlike the previous Universal Analytics (the previous version of GA), GA4 is event-centric and has automated and simplified the event tracking process. Compared to Universal Analytics, GA4 is more user-centric and lets you hone in on individual user journeys. Some examples of common key metrics in GA4 are : 

  • Sessions : A group of user interactions on your website that occur within a specific time period. A session concludes when there is no user activity for 30 minutes.
  • Total Users : The cumulative count of individuals who accessed your site within a specified date range.
  • Engagement Rate : The percentage of visits to your website or app that included engagement (e.g., one more pageview, one or more conversion, etc.), determined by dividing engaged sessions by sessions.

  

  Metrics are invaluable when it comes to website and conversion optimisation. Whether you’re on the marketing team, creating content or designing web pages, understanding how your users interact with your digital platforms is essential.

  GA4 metrics vs. dimensions

  GA4 uses metrics to discuss quantitative measurements and dimensions as qualitative descriptors that provide additional context to metrics. To make things crystal clear, here are some examples of how metrics and dimensions are used together : 

  • “Session duration” = metric, “device type” = dimension 
    • In this situation, the dimension can segment the data by device type so you can optimise the user experience for different devices.
  • “Bounce rate” = metric, “traffic source/medium” = dimension 
    • Here, the dimension helps you segment by traffic source to understand how different acquisition channels are performing. 
  • “Conversion rate” = metric, “Landing page” = dimension 
    • When the conversion rate data is segmented by landing page, you can better see the most effective landing pages. 

  You can get into the nitty gritty of granular analysis by combining metrics and dimensions to better understand specific user interactions.

  How do Google Analytics metrics work ?

  Before diving into the most important metrics you should track, let’s review how metrics in GA4 work. 

  

  1. Tracking code implementation

  The process begins with implementing Google Analytics 4 tracking code into the HTML of web pages. This tracking code is JavaScript added to each website page — it collects data related to user interactions, events and other important tidbits.

  2. Data collection

  As users interact with the website or app, the Google Analytics 4 tracking code captures various data points (i.e., page views, clicks, form submissions, custom events, etc.). This raw data is compiled and sent to Google Analytics servers for processing.

  3. Data processing algorithms

  When the data reaches Google Analytics servers, data processing algorithms come into play. These algorithms analyse the incoming raw data to identify the dataset’s trends, relationships and patterns. This part of the process involves cleaning and organising the data.

  4. Segmentation and customisation

  As discussed in the previous section, Google Analytics 4 allows for segmentation and customisation of data with dimensions. To analyse specific data groups, you can define segments based on various dimensions (e.g., traffic source, device type). Custom events and user properties can also be defined to tailor the tracking to the unique needs of your website or app.

  5. Report generation

  Google Analytics 4 can make comprehensive reports and dashboards based on the processed and segmented data. These reports, often in the form of graphs and charts, help identify patterns and trends in the data.

  What are the most important Google Analytics metrics to track ? 

  In this section, we’ll identify and define key metrics for marketing teams to track in Google Analytics 4. 

  

  1. Pageviews are the total number of times a specific page or screen on your website or app is viewed by visitors. Pageviews are calculated each time a web page is loaded or reloaded in a browser. You can use this metric to measure the popularity of certain content on your website and what users are interested in. 
  2. Event tracking monitors user interactions with content on a website or app (i.e., clicks, downloads, video views, etc.). Event tracking provides detailed insights into user engagement so you can better understand how users interact with dynamic content. 
  3. Retention rate can be analysed with a pre-made overview report that Google Analytics 4 provides. This user metric measures the percentage of visitors who return to your website or app after their first visit within a specific time period. Retention rate = (users with subsequent visits / total users in the initial cohort) x 100. Use this information to understand how relevant or effective your content, user experience and marketing efforts are in retaining visitors. You probably have more loyal/returning buyers if you have a high retention rate. 
  4. Average session duration calculates the average time users spend on your website or app per session. Average session duration = total duration of all sessions / # of sessions. A high average session duration indicates how interested and engaged users are with your content. 
  5. Site searches and search queries on your website are automatically tracked by Google Analytics 4. These metrics include search terms, number of searches and user engagement post-search. You can use site search metrics to better understand user intent and refine content based on users’ searches. 
  6. Entrance and exit pages show where users first enter and leave your site. This metric is calculated by the percentage of sessions that start or end on a specific page. Knowing where users are entering and leaving your site can help identify places for content optimisation. 
  7. Device and browser info includes data about which devices and browsers websites or apps visitors use. This is another metric that Google Analytics 4 automatically collects and categorises during user sessions. You can use this data to improve the user experience on relevant devices and browsers. 
  8. Bounce rate is the percentage of single-page sessions where users leave your site or app without interacting further. Bounce rate = (# of single-page sessions / total # of sessions) x 100. Bounce rate is useful for determining how effective your landing pages are — pages with high bounce rates can be tweaked and optimised to enhance user engagement.

  Examples of how Matomo can elevate your web analytics

  Although Google Analytics is a powerful tool for understanding user behaviour, it also has privacy concerns, limitations and a list of issues. Another web analytics solution like Matomo can help fill those gaps so you can get the most out of your analytics.

  

  1. Cross-verify and validate your observations from Google Analytics by comparing data from Matomo’s Heatmaps and Session Recordings for the same pages. This process grants you access to these advanced features that GA4 does not offer.

  

  1. Matomo provides you with greater accuracy thanks to its privacy-friendly design. Unlike GA4, Matomo can be configured to operate without cookies. This means increased accuracy without intrusive cookie consent screens interrupting the user experience. It’s a win for you and for your users. Matomo also doesn’t apply data sampling so you can rest assured that the data you see is 100% accurate.

  3. Unlike GA4, Matomo offers direct access to customer support so you can save time sifting through community forum threads and online documentation. Gain personalised assistance and guidance for your analytics questions, and resolve issues efficiently.

  

  4. Matomo’s Form Analytics and Media Analytics extend your analytics capabilities beyond just pageviews and event tracking.

     Tracking user interactions with forms can tell you which fields users struggle with, common drop-off points, in addition to which parts of the form successfully guide visitors towards submission.

     See first-hand how Concrete CMS 3x their leads using Matomo’s Form Analytics.

     Media Analytics can provide insight into how users interact with image, video, or audio content on your website. You can use this feature to assess the relevance and popularity of specific content by knowing what your audience is engaged by.

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

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  Final thoughts

  Although Google Analytics is a powerful tool on its own, Matomo can elevate your web analytics by offering advanced features, data accuracy and a privacy-friendly design. Don’t play a guessing game with your data — Matomo provides 100% accurate data so you don’t have to rely on AI or machine learning to fill in the gaps. Matomo can be configured cookieless which also provides you with more accurate data and a better user experience. 

  Lastly, Matomo is fully compliant with some of the world’s strictest privacy regulations like GPDR. You won’t have to sacrifice compliance for accurate, high quality data. 

  Start your 21-day free trial of Matomo — no credit card required.

  Try Matomo for Free

  21 day free trial. No credit card required.

  
  

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• A Beginner’s Guide to Omnichannel Analytics

  14 avril 2024, par Erin

  Linear customer journeys are as obsolete as dial-up internet and floppy disks. As a marketing manager, you know better than anyone that customers interact with your brand hundreds of times across dozens of channels before purchasing. That can make tracking them a nightmare unless you build an omnichannel analytics solution. 

  Alas, if only it were that simple. 

  Unfortunately, it’s not enough to collect data on your customers’ complex journeys just by buying an omnichannel platform. You need to generate actionable insights by using marketing attribution to tie channels to conversions. 

  This article will explain how to build a useful omnichannel analytics solution that lets you understand and improve the customer journey.

  What is omnichannel analytics ?

  Omnichannel analytics collects and analyses customer data from every touchpoint and device. The goal is to collect all this omnichannel data in one place, creating a single, real-time, unified view of your customer’s journey.

  

  Unfortunately, most businesses haven’t achieved this yet. As Karen Lellouche Tordjman and Marco Bertini say :

  “Despite all the buzz around the concept of omnichannel, most companies still view customer journeys as a linear sequence of standardised touchpoints within a given channel. But the future of customer engagement transforms touchpoints from nodes along a predefined distribution path to full-blown portals that can serve as points of sale or pathways to many other digital and virtual interactions. They link to chatbots, kiosks, robo-advisors, and other tools that customers — especially younger ones — want to engage with.”

  However, doing so is more important than ever — especially when consumers have over 300 digital touchpoints, and the average number of touchpoints in the B2B buyer journey is 27.

  Not only that, but customers expect personalised experiences across every platform — that’s the kind you can only create when you have access to omnichannel data.

  

  What might omnichannel analytics look like in practice for an e-commerce store ?

  An online store would integrate data from channels like its website, mobile app, social media accounts, Google Ads and customer service records. This would show how customers find its brand, how they use each channel to interact with it and which channels convert the most customers. 

  This would allow the e-commerce store to tailor marketing channels to customers’ needs. For instance, they could focus social media use on product discovery and customer support. Google Ads campaigns could target the best-converting products. While all this is happening, the store could also ensure every channel looks the same and delivers the same experience. 

  What are the benefits of omnichannel analytics ?

  Why go to all the trouble of creating a comprehensive view of the customer’s experience ? Because you stand to gain some pretty significant benefits when implementing omnichannel analytics.

  

  Understand the customer journey

  You want to understand how your customers behave, right ? No other method will allow you to fully understand your customer journey the way omnichannel analytics does. 

  It doesn’t matter how customers engage with your brand — whether that’s your website, app, social media profiles or physical stores — omnichannel analytics capture every interaction.

  With this 360-degree view of your customers, it’s easy to understand how they move between channels, where they encounter issues and what bottlenecks prevent them from converting. 

  Deliver better personalisation

  We don’t have to tell you that personalisation matters. But do you know just how important it is ? Since 56% of customers will become repeat buyers after a personalised experience, delivering them as often as possible is critical. 

  Omnichannel analytics helps in your quest for personalisation by highlighting the individual preferences of customer segments. For example, e-commerce stores can use omnichannel analytics to understand how shoppers behave across different devices and tailor their offers accordingly. 

  Upgrade the customer experience

  Omnichannel analytics gives you the insights to improve every aspect of the customer experience. 

  For starters, you can ensure a consistent brand experience across all your top channels by making sure they look and behave the same.

  Then, you can use omnichannel insights to tailor each channel to your customers’ requirements. For example, most people interacting with your brand on social media may seek support. Knowing that you can create dedicated support accounts to assist users. 

  Improve marketing campaigns

  Which marketing campaigns or traffic sources convert the most customers ? How can you improve these campaigns ? Omnichannel analytics has the answers. 

  When you implement omnichannel analytics you automatically track the performance of every marketing channel by attributing each conversion to one or more traffic sources. This lets you see whether Google Ads bring in more customers than your SEO efforts. Or whether social media ads are the most profitable acquisition channel. 

  Armed with this information, you can improve your marketing efforts — either by focusing on your profitable channels or rectifying problems that stop less profitable channels from converting.

  What are the challenges of omnichannel analytics ?

  There are three challenges when implementing an omnichannel analytics solution :

  

  • Complex customer journeys : Customer journeys aren’t linear and can be incredibly difficult to track. 
  • Regulatory and privacy issues : When you start gathering customer data, you quickly come up against consumer privacy laws. 
  • No underlying goal : There has to be a reason to go to all this effort, but brands don’t always have goals in mind before they start. 

  You can’t do anything about the first challenge. 

  After all, your customer journey will almost never be linear. And isn’t the point of implementing an omnichannel solution to understand these complex journeys in the first place ? Once you set up omnichannel analytics, these journeys will be much easier to decipher. 

  As for the other two :

  Using the right software that respects user privacy and complies with all major privacy laws will avoid regulatory issues. Take Matomo, for instance. Our software was designed with privacy in mind and is configured to follow the strictest privacy laws, such as GDPR. 

  Tying omnichannel analytics to marketing attribution will solve the final challenge by giving your omnichannel efforts a goal. When you tie omnichannel analytics to your marketing efforts, you aren’t just getting a 360-degree view of your customer journey for the sake of it. You are getting that view to improve your marketing efforts and increase sales.

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

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  How to set up an omnichannel analytics solution

  Want to set up a seamless analytical environment that incorporates data from every possible source ? Follow these five steps :

  Choose one or more analytics providers

  You can use several tools to build an omnichannel analytics solution. These include web and app analytics tools, customer data platforms that centralise first-party data and business intelligence tools (typically used for visualisation). 

  Which tools you use will depend on your goals and your budget — the loftier your ambitions and the higher your budget, the more tools you can use. 

  Ideally, you should use as few tools as possible to capture your data. Most teams won’t need business intelligence platforms, for example. However, you may or may not need both an analytics platform and a customer data platform. Your decision will depend on how many channels your customers use and how well your analytics tool tracks everything.

  If it can capture web and app usage while integrating with third-party platforms like your back-end e-commerce platform, then it’s probably enough.

  Collect accurate data at every touchpoint 

  Your omnichannel analytics efforts hinge on the quantity and quality of data you can collect. You want to gather data from every touchpoint possible and store that data in as few places as possible. That’s why choosing as few tools as possible in the step above is so important. 

  So, where should you start ? Common data sources include :

  • Your website
  • Apps (iOS and Android)
  • Social media profiles
  • ERPs
  • PoS systems

  At the same time, make sure you’re tracking all relevant metrics. Revenue, customer engagement and conversion-focused metrics like conversion rate, dwell time, cart abandonment rate and churn rate are particularly important. 

  Set up marketing attribution

  Setting up marketing attribution (also known as multi-touch attribution) is essential to tie omnichannel data to business goals. It’s the only way to know exactly how valuable each marketing channel is and where each customer comes from. 

  You’ll want to use multi-touch attribution, given you have data from across the customer journey.

  

  Multi-touch attribution models can include (but are not limited to) :

  • Linear : where each touchpoint is given equal weighting
  • Time decay : where touchpoints are more valuable the nearer they are to conversion
  • Position-based : where the first and last touch points are more valuable than all the others. 

  You don’t have to use just one of the models above, however. One of the benefits of using a web analytics tool like Matomo is that you can choose between different attribution models and compare them.

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

  No credit card required

  Create reports that help you visualise data

  Dashboards are your friend here. They’ll let you see KPIs at a glance, allowing you to keep track of day-to-day changes in your customer journey. Ideally, you’ll want a platform that lets you customise dashboard widgets so only relevant KPIs are shown. 

  

  Setting up standard and custom reports is also important. Custom reports allow you to choose metrics and dimensions that align with your goals. They will also allow you to present your data most meaningfully to your team, increasing the likelihood they act upon insights. 

  Analyse data and take action

  Now that you have customer journey data at your fingertips, it’s time to analyse it. After all, there’s no point in implementing an omnichannel analytics solution if you aren’t going to take action. 

  If you’re unsure where to start, re-read the benefits we listed at the start of this article. You could use your omnichannel insights to improve your marketing campaigns by doubling down on the channels that bring in the best customers.

  Or you could identify (and fix) bottlenecks in the customer journey so customers are less likely to fall out of your funnel between certain channels. 

  Just make sure you take action based on your data alone.

  Make the most of omnichannel analytics with Matomo

  A comprehensive web and app analytics platform is vital to any omnichannel analytics strategy. 

  But not just any solution will do. When privacy regulations impede an omnichannel analytics solution, you need a platform to capture accurate data without breaking privacy laws or your users’ trust. 

  That’s where Matomo comes in. Our privacy-friendly web analytics platform ensures accurate tracking of web traffic while keeping you compliant with even the strictest regulations. Moreover, our range of APIs and SDKs makes it easy to track interactions from all your digital products (website, apps, e-commerce back-ends, etc.) in one place. 

  Try Matomo for free for 21 days. No credit card required.

  Try Matomo for Free

  21 day free trial. No credit card required.

  
  

  Your email address
  

  Your website address
  

  Your Analytics subdomain will be .matomo.cloud (change)

  Choose your analytics subdomain
  

  .matomo.cloud

  I accept the terms and conditions and data processing agreement (DPA)

  
  Your information will be used to create an account on our cloud service. For more information please consult our privacy policy.
  
  
  

  Start improving your websites now