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  • What is Audience Segmentation ? The 5 Main Types & Examples

    16 novembre 2023, par Erin — Analytics Tips

    The days of mass marketing with the same message for millions are long gone. Today, savvy marketers instead focus on delivering the most relevant message to the right person at the right time.

    They do this at scale by segmenting their audiences based on various data points. This isn’t an easy process because there are many types of audience segmentation. If you take the wrong approach, you risk delivering irrelevant messages to your audience — or breaking their trust with poor data management.

    In this article, we’ll break down the most common types of audience segmentation, share examples highlighting their usefulness and cover how you can segment campaigns without breaking data regulations.

    What is audience segmentation ?

    Audience segmentation is when you divide your audience into multiple smaller specific audiences based on various factors. The goal is to deliver a more targeted marketing message or to glean unique insights from analytics.

    It can be as broad as dividing a marketing campaign by location or as specific as separating audiences by their interests, hobbies and behaviour.

    Illustration of basic audience segmentation

    Audience segmentation inherently makes a lot of sense. Consider this : an urban office worker and a rural farmer have vastly different needs. By targeting your marketing efforts towards agriculture workers in rural areas, you’re honing in on a group more likely to be interested in farm equipment. 

    Audience segmentation has existed since the beginning of marketing. Advertisers used to select magazines and placements based on who typically read them. They would run a golf club ad in a golf magazine, not in the national newspaper.

    How narrow you can make your audience segments by leveraging multiple data points has changed.

    Why audience segmentation matters

    In a survey by McKinsey, 71% of consumers said they expected personalisation, and 76% get frustrated when a vendor doesn’t deliver.

    Illustrated statistics that show the importance of personalisation

    These numbers reflect expectations from consumers who have actively engaged with a brand — created an account, signed up for an email list or purchased a product.

    They expect you to take that data and give them relevant product recommendations — like a shoe polishing kit if you bought nice leather loafers.

    If you don’t do any sort of audience segmentation, you’re likely to frustrate your customers with post-sale campaigns. If, for example, you just send the same follow-up email to all customers, you’d damage many relationships. Some might ask : “What ? Why would you think I need that ?” Then they’d promptly opt out of your email marketing campaigns.

    To avoid that, you need to segment your audience so you can deliver relevant content at all stages of the customer journey.

    5 key types of audience segmentation

    To help you deliver the right content to the right person or identify crucial insights in analytics, you can use five types of audience segmentation : demographic, behavioural, psychographic, technographic and transactional.

    Diagram of the main types of audience segmentation

    Demographic segmentation 

    Demographic segmentation is when you segment a larger audience based on demographic data points like location, age or other factors.

    The most basic demographic segmentation factor is location, which is easy to leverage in marketing efforts. For example, geographic segmentation can use IP addresses and separate marketing efforts by country. 

    But more advanced demographic data points are becoming increasingly sensitive to handle. Especially in Europe, GDPR makes advanced demographics a more tentative subject. Using age, education level and employment to target marketing campaigns is possible. But you need to navigate this terrain thoughtfully and responsibly, ensuring meticulous adherence to privacy regulations.

    Potential data points :

    • Location
    • Age
    • Marital status
    • Income
    • Employment 
    • Education

    Example of effective demographic segmentation :

    A clothing brand targeting diverse locations needs to account for the varying weather conditions. In colder regions, showcasing winter collections or insulated clothing might resonate more with the audience. Conversely, in warmer climates, promoting lightweight or summer attire could be more effective. 

    Here are two ads run by North Face on Facebook and Instagram to different audiences to highlight different collections :

    Each collection is featured differently and uses a different approach with its copy and even the media. With social media ads, targeting people based on advanced demographics is simple enough — you can just single out the factors when making your campaign. But if you don’t want to rely on these data-mining companies, that doesn’t mean you have no options for segmentation.

    Consider allowing people to self-select their interests or preferences by incorporating a short survey within your email sign-up form. This simple addition can enhance engagement, decrease bounce rates, and ultimately improve conversion rates, offering valuable insights into audience preferences.

    This is a great way to segment ethically and without the need of data-mining companies.

    Behavioural segmentation

    Behavioural segmentation segments audiences based on their interaction with your website or app.

    You use various data points to segment your target audience based on their actions.

    Potential data points :

    • Page visits
    • Referral source
    • Clicks
    • Downloads
    • Video plays
    • Goal completion (e.g., signing up for a newsletter or purchasing a product)

    Example of using behavioural segmentation to improve campaign efficiency :

    One effective method involves using a web analytics tool such as Matomo to uncover patterns. By segmenting actions like specific clicks and downloads, pinpoint valuable trends—identifying actions that significantly enhance visitor conversions. 

    Example of a segmented behavioral analysis in Matomo

    For instance, if a case study video substantially boosts conversion rates, elevate its prominence to capitalise on this success.

    Then, you can set up a conditional CTA within the video player. Make it pop up after the user has watched the entire video. Use a specific form and sign them up to a specific segment for each case study. This way, you know the prospect’s ideal use case without surveying them.

    This is an example of behavioural segmentation that doesn’t rely on third-party cookies.

    Psychographic segmentation

    Psychographic segmentation is when you segment audiences based on your interpretation of their personality or preferences.

    Potential data points :

    • Social media patterns
    • Follows
    • Hobbies
    • Interests

    Example of effective psychographic segmentation :

    Here, Adidas segments its audience based on whether they like cycling or rugby. It makes no sense to show a rugby ad to someone who’s into cycling and vice versa. But to rugby athletes, the ad is very relevant.

    If you want to avoid social platforms, you can use surveys about hobbies and interests to segment your target audience in an ethical way.

    Technographic segmentation

    Technographic segmentation is when you single out specific parts of your audience based on which hardware or software they use.

    Potential data points :

    • Type of device used
    • Device model or brand
    • Browser used

    Example of segmenting by device type to improve user experience :

    Upon noticing a considerable influx of tablet users accessing their platform, a leading news outlet decided to optimise their tablet browsing experience. They overhauled the website interface, focusing on smoother navigation and better readability for tablet users. These changes offered tablet users a seamless and enjoyable reading experience tailored precisely to their device.

    Transactional segmentation

    Transactional segmentation is when you use your customers’ purchase history to better target your marketing message to their needs.

    When consumers prefer personalisation, they typically mean based on their actual transactions, not their social media profiles.

    Potential data points :

    • Average order value
    • Product categories purchased within X months
    • X days since the last purchase of a consumable product

    Example of effective transactional segmentation :

    A pet supply store identifies a segment of customers consistently purchasing cat food but not other pet products. They create targeted email campaigns offering discounts or loyalty rewards specifically for cat-related items to encourage repeat purchases within this segment.

    If you want to improve customer loyalty and increase revenue, the last thing you should do is send generic marketing emails. Relevant product recommendations or coupons are the best way to use transactional segmentation.

    B2B-specific : Firmographic segmentation

    Beyond the five main segmentation types, B2B marketers often use “firmographic” factors when segmenting their campaigns. It’s a way to segment campaigns that go beyond the considerations of the individual.

    Potential data points :

    • Company size
    • Number of employees
    • Company industry
    • Geographic location (office)

    Example of effective firmographic segmentation :

    Companies of different sizes won’t need the same solution — so segmenting leads by company size is one of the most common and effective examples of B2B audience segmentation.

    The difference here is that B2B campaigns are often segmented through manual research. With an account-based marketing approach, you start by researching your potential customers. You then separate the target audience into smaller segments (or even a one-to-one campaign).

    Start segmenting and analysing your audience more deeply with Matomo

    Segmentation is a great place to start if you want to level up your marketing efforts. Modern consumers expect to get relevant content, and you must give it to them.

    But doing so in a privacy-sensitive way is not always easy. You need the right approach to segment your customer base without alienating them or breaking regulations.

    That’s where Matomo comes in. Matomo champions privacy compliance while offering comprehensive insights and segmentation capabilities. With robust privacy controls and cookieless configuration, it ensures GDPR and other regulations are met, empowering data-driven decisions without compromising user privacy.

    Take advantage of our 21-day free trial to get insights that can help you improve your marketing strategy and better reach your target audience. No credit card required.

  • 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 !

  • CJEU rules US cloud servers don’t comply with GDPR and what this means for web analytics

    17 juillet 2020, par Jake Thornton

    Breaking news : On July 16, 2020, the Court of Justice of the European Union (CJEU) has ruled that any cloud services hosted in the US are incapable of complying with the GDPR and EU privacy laws.

    In August 2016, the EU-US Privacy Shield framework came into effect, which “protects the fundamental rights of anyone in the EU whose personal data is transferred to the United States for commercial purposes. It allows the free transfer of data to companies that are certified in the US under the Privacy Shield.” – European Commission website

    However after today’s CJEU ruling, this Privacy Shield framework became invalidated due to significant differences between EU and US privacy laws.

    European privacy law activist Max Schrems summarises with “The Court clarified for a second time now that there is a clash between EU privacy law and US surveillance law. As the EU will not change its fundamental rights to please the NSA, the only way to overcome this clash is for the US to introduce solid privacy rights for all people – including foreigners. Surveillance reform thereby becomes crucial for the business interests of Silicon Valley.” – noyb website

    Today’s ruling also continues to spark concern into the legitimacy of US privacy laws which doesn’t fully protect people’s personal data when hosted on cloud servers based in the US.

    Web analytics hosted on US cloud servers don’t comply with GDPR

    How will this affect you ?

    For any business operating a website in the EU or if you have traffic coming to your website from EU visitors, you need to know what data you’re capturing and where this data is being stored.

    Here’s what Maja Smoltczyk (Berlin’s Commissioner for Data Protection and Freedom of Information) says :

    Controllers who transfer personal data to the USA, especially when using cloud-based services, are now required to switch immediately to service providers based in the European Union or a country that can
    ensure an adequate level of data protection. 
    The CJEU has made it refreshingly clear that data exports are not just financial decisions, as people’s fundamental rights must also be considered as a matter of priority. This ruling will put
    an end to the transfer of personal data to the USA
    for the sake of convenience or to cut costs.

    The controller is you (not Google) and by transferring data to the US you are at risk of being fined up to €20 million or 4% of your annual worldwide turnover for not being GDPR compliant. 

    It’s you who has to take action, not Google or other US companies. The court’s decision has immediate effect. While we assume there will be a grace period, companies should act now as finding and implementing alternatives solution can take a while. 

    Can no data be exported outside the EU anymore ?

    Data can still be exported outside the EU if an adequate level of data protection is guaranteed. This is the case for some trading partners of the EU such as New Zealand, Japan, Switzerland, and Canada. They have been certified by the EU as having a comparable level of privacy protection and therefore demonstrate adequacy at a country level.

    Necessary data can still flow to countries like the US too. This is for example the case when someone books a hotel in the US or when sending an email to someone in the US. Backups for disaster recovery and most other reasons don’t qualify as necessary.

    In all other cases you can still send data to countries like the US if you get explicit and informed consent from a user. Meaning the user has been informed about all possible risks of sending the data to the US and who can access the data (for example the US government).

    How this affects Google Analytics and Google Tag Manager users

    If your website is using Google Analytics, the safest bet is to deactivate it immediately. Otherwise, you must ask for consent from everyone who visits your website and inform them that the data will be processed in the United States under less strict privacy laws and all associated risks. If you don’t, you could be liable to privacy law infringements and face being fined for not complying with the GDPR. This also applies to Google Tag Manager as it transfers the IP address to the US which is considered personal data under the GDPR.

    Consent needs to be :

    • Freely given (the user must have a choice to not give consent and be able to opt out at any time) 
    • Informed (you need to disclose who is processing the data, what data is processed, where the data will be stored and how to opt out) 
    • Specific (consent is only valid for the specific informed purpose) 
    • Unambiguous (for example pre-ticked boxes or similar aren’t allowed)
    Web analytics that complies with GDPR

    If users don’t give you consent, you are not allowed to track them using Google Analytics or any other US based cloud solution.

    Update August 19, 2020

    A month after this ruling, over 100 complaints have been filed against websites for continuing to send data to the US via Google Analytics or Facebook, by the European privacy campaign group noyb. It’s clear Google and Facebook fall under US surveillance laws such as FISA 702 and the court clearly ruled these companies cannot rely on SCCs to transfer data to the US. Anyone still using Google Analytics is now at risk of facing fines and compensation damages

    How this affects Matomo users

    Our cloud servers are based in Germany.

    Matomo On-Premise users choose the location of their data themselves. If the servers are located in the EU nothing changes. If the servers are located outside the EU and the website targets EU users and tracks personal data, then you need to assess whether you are required to ask for tracking consent.

    If the data is stored inside the EU you can use Matomo without asking for any consent and you can continue tracking users even if they reject a consent screen which greatly increases the quality of your data.

    Want to avoid informing users about transferring their data to the US and all associated risks ?

    Try Matomo now for free ! No credit card required.