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  • Demande de création d’un canal

    12 mars 2010, par

    En fonction de la configuration de la plateforme, l’utilisateur peu avoir à sa disposition deux méthodes différentes de demande de création de canal. La première est au moment de son inscription, la seconde, après son inscription en remplissant un formulaire de demande.
    Les deux manières demandent les mêmes choses fonctionnent à peu près de la même manière, le futur utilisateur doit remplir une série de champ de formulaire permettant tout d’abord aux administrateurs d’avoir des informations quant à (...)

  • Gestion de la ferme

    2 mars 2010, par

    La ferme est gérée dans son ensemble par des "super admins".
    Certains réglages peuvent être fais afin de réguler les besoins des différents canaux.
    Dans un premier temps il utilise le plugin "Gestion de mutualisation"

  • MediaSPIP Core : La Configuration

    9 novembre 2010, par

    MediaSPIP Core fournit par défaut trois pages différentes de configuration (ces pages utilisent le plugin de configuration CFG pour fonctionner) : une page spécifique à la configuration générale du squelettes ; une page spécifique à la configuration de la page d’accueil du site ; une page spécifique à la configuration des secteurs ;
    Il fournit également une page supplémentaire qui n’apparait que lorsque certains plugins sont activés permettant de contrôler l’affichage et les fonctionnalités spécifiques (...)

Sur d’autres sites (4594)

  • Export your data from Universal Analytics or Universal Analytics 360

    26 juin 2024, par Erin
    Export Google Analytics Data

    How to export your data

    We would love for you to try Matomo, but first let’s get your data from Google :

    Import your data to Matomo

  • What is Web Log Analytics and Why You Should Use It

    26 juin 2024, par Erin

    Can’t use JavaScript tracking on your website ? Need a more secure and privacy-friendly way to understand your website visitors ? Web log analytics is your answer. This method pulls data directly from your server logs, offering a secure and privacy-respecting alternative.  

    In this blog, we cover what web log analytics is, how it compares to JavaScript tracking, who it is best suited for, and why it might be the right choice for you. 

    What are server logs ? 

    Before diving in, let’s start with the basics : What are server logs ? Think of your web server as a diary that notes every visit to your website. Each time someone visits, the server records details like : 

    • User agent : Information about the visitor’s browser and operating system. 
    • Timestamp : The exact time the request was made. 
    • Requested URL : The specific page or resource the visitor requested. 

    These “diary entries” are called server logs, and they provide a detailed record of all interactions with your website. 

    Server log example 

    Here’s what a server log looks like : 

    192.XXX.X.X – – [24/Jun/2024:14:32:01 +0000] “GET /index.html HTTP/1.1” 200 1024 “https://www.example.com/referrer.html” “Mozilla/5.0 (Windows NT 10.0 ; Win64 ; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36” 

    192.XXX.X.X – – [24/Jun/2024:14:32:02 +0000] “GET /style.css HTTP/1.1” 200 3456 “https://www.example.com/index.html” “Mozilla/5.0 (Windows NT 10.0 ; Win64 ; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36” 

    192.XXX.X.X – – [24/Jun/2024:14:32:03 +0000] “GET /script.js HTTP/1.1” 200 7890 “https://www.example.com/index.html” “Mozilla/5.0 (Windows NT 10.0 ; Win64 ; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36” 

    192.XXX.X.X – – [24/Jun/2024:14:32:04 +0000] “GET /images/logo.png HTTP/1.1” 200 1234 “https://www.example.com/index.html” “Mozilla/5.0 (Windows NT 10.0 ; Win64 ; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36” 

    Breakdown of the log entry 

    Each line in the server log represents a single request made by a visitor to your website. Here’s a detailed breakdown of what each part means : 

    • IP Address : 192.XXX.X.X 
      • This is the IP address of the visitor’s device. 
    • User Identifier : – – 
      • These fields are typically used for user identification and authentication, which are not applicable here, hence the hyphens. 
    • Timestamp : [24/Jun/2024:14:32:01 +0000] 
        • The date and time of the request, including the timezone. 
    • Request Line : “GET /index.html HTTP/1.1” 
      • The request method (GET), the requested resource (/index.html), and the HTTP version (HTTP/1.1). 
    • Response Code : 200 
      • The HTTP status code indicates the result of the request (200 means OK). 
    • Response Size : 1024 
      • The size of the response in bytes. 
    • Referrer : “https://www.example.com/referrer.html“ 
      • The URL of the referring page that led the visitor to the current page. 
    • User Agent : “Mozilla/5.0 (Windows NT 10.0 ; Win64 ; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36” 
      • Information about the visitor’s browser and operating system. 

    In the example above, there are multiple log entries for different resources (HTML page, CSS file, JavaScript file, and an image). This shows that when a visitor loads a webpage, multiple requests are made to load all the necessary resources. 

    What is web log analytics ? 

    Web log analytics is one of many methods for tracking visitors to your site.  

    Web log analytics is the process of analysing server log files to track and understand website visitors. Unlike traditional methods that use JavaScript tracking codes embedded in web pages, web log analytics pulls data directly from these server logs. 

    How it works : 

    1. Visitor request : A visitor’s browser requests your website. 
    2. Server logging : The server logs the request details. 
    3. Analysis : These logs are analysed to extract useful information about your visitors and their activities. 

    Web log analytics vs. JavaScript tracking 

    JavaScript tracking 

    JavaScript tracking is the most common method used to track website visitors. It involves embedding a JavaScript code snippet into your web pages. This code collects data on visitor interactions and sends it to a web analytics platform. 

    Web log analytics vs JavaScript tracking

    Differences and benefits :

    Privacy : 

    • Web log analytics : Since it doesn’t require embedding tracking codes, it is considered less intrusive and helps maintain higher privacy standards. 
    • JavaScript tracking : Embeds tracking codes directly on your website, which can be more invasive and raise privacy concerns. 

    Ease of setup : 

    • Web log analytics : No need to modify your website’s code. All you need is access to your server logs. 
    • JavaScript tracking : Requires adding tracking code on your web pages. This is generally an easier setup process.  

    Data collection : 

    • Web log analytics : Contain requests of users with adblockers (ghostery, adblock, adblock plus, privacy badger, etc.) sometimes making it more accurate. However, it may miss certain interactive elements like screen resolution or user events. It may also over-report data.  
    • JavaScript tracking : Can collect a wide range of data, including Custom dimensions, Ecommerce tracking, Heatmaps, Session recordings, Media and Form analytics, etc. 

    Why choose web log analytics ? 

    Enhanced privacy 

    Avoiding embedded tracking codes means there’s no JavaScript running on your visitors’ browsers. This significantly reduces the risk of data leakage and enhances overall privacy. 

    Comprehensive data collection 

    It isn’t affected by ad blockers or browser tracking protections, ensuring you capture more complete and accurate data about your visitors. 

    Historical data analysis 

    You can import and analyse historical log files, giving you insights into long-term visitor behaviour and trends. 

    Simple setup 

    Since it relies on server logs, there’s no need to alter your website’s code. This makes setup straightforward and minimises potential technical issues. 

    Who should use web log analytics ? 

    Web log analytics is particularly suited for businesses that prioritise data privacy and security.

    Organisations that handle sensitive data, such as banks, healthcare providers, and government agencies, can benefit from the enhanced privacy.  

    By avoiding JavaScript tracking, these entities minimise data exposure and comply with strict privacy regulations like Sarbanes Oxley and PCI. 

    Why use Matomo for web log analytics ? 

    Matomo stands out as a top choice for web log analytics because it prioritises privacy and data ownership

    Screenshot example of the Matomo dashboard

    Here’s why : 

    • Complete data control : You own all your data, so you don’t have to worry about third-party access. 
    • IP anonymisation : Matomo anonymises IP addresses to further protect user privacy. 
    • Bot filtering : Automatically excludes bots from your reports, ensuring you get accurate data. 
    • Simple migration : You can easily switch from other tools like AWStats by importing your historical logs into Matomo. 
    • Server log recognition : Recognises most server log formats (Apache, Nginx, IIS, etc.). 

    Start using web log analytics 

    Web log analytics offers a secure, privacy-focused alternative to traditional JavaScript tracking methods. By analysing server logs, you get valuable insights into your website traffic while maintaining high privacy standards.  

    If you’re serious about privacy and want reliable data, give Matomo’s web log analytics a try.  

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

  • Introducing Updates to the Funnels Feature

    29 mai 2024, par Erin

    We’ve made improvements to the Funnels feature to be more user-friendly and offer you greater flexibility. 

    &lt;script type=&quot;text/javascript&quot;&gt;<br />
           if ('function' === typeof window.playMatomoVideo){<br />
           window.playMatomoVideo(&quot;FunnelsProductUpdate2024&quot;, &quot;#FunnelsProductUpdate2024&quot;)<br />
           } else {<br />
           document.addEventListener(&quot;DOMContentLoaded&quot;, function() { window.playMatomoVideo(&quot;FunnelsProductUpdate2024&quot;, &quot;#FunnelsProductUpdate2024&quot;); });<br />
           }<br />
      &lt;/script&gt;

    Here’s what’s changing :

    Setting up and managing funnels is now easier than ever 

    Previously, creating funnels was tedious and required going through the Goals feature. But we’ve changed that with the introduction of a separate page to configure funnels. 

    Dedicated Manage Funnels page in Matomo

    Create funnels with greater flexibility—no longer tied to goals 

    Funnels is now a standalone feature, providing you with more flexibility. Before, you could only create a funnel if it was tied to a goal, in other words, the final step in the funnel had to be a goal. What’s more, you also couldn’t use goals for steps in the funnel.  

    Previous configuration requirements of Funnels in Matomo
    Previous configuration requirements of Funnels

    Now, funnels are independent of goals, and goals can serve as steps within the funnel. This means you have the freedom to configure any combination of steps in a funnel : 

    • All steps can be goals 
    • No steps need to be goals 
    • Or some steps can be goals, some steps can be events 
    Goals no longer required in Matomo Funnels

    No matter what your customer journey looks like, funnels now offer the versatility to meet your business’s specific needs. 

    Find friction points faster with intuitive visuals 

    One of the most significant improvements is the visual upgrade of the Funnels feature. The new Funnels graph is now visually in line with industry standards and intuitive. 

    New Funnel Analytics chart in Matomo

    The new visual provides a clearer view of your drop-off and conversion rates so you can instantly find points of friction in your funnel to improve the user experience and overall conversion rate.  

    This visualisation also provides a detailed overview of the number of visitors who enter, exit, skip, or proceed at each step of your funnel by using different coloured bars for visual clarity on each step’s performance. 

    With this update, we’ve also replaced ‘backfilled visits’ with ‘skipped steps’ to avoid misinterpretation of the data. 

    New data table for more granular insights 

    Accompanying this visual improvement is a new data table, allowing for more granular insights, segment comparison, and easy data export.

    We’ve also increased Funnel analysis limits. You can now compare funnel data for 2 date periods and 6 segments (up to 12 compared datasets in total). 

    Sign up for our newsletter to receive all the latest Matomo updates. 

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