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  • MediaSPIP v0.2

    21 juin 2013, par

    MediaSPIP 0.2 est la première version de MediaSPIP stable.
    Sa date de sortie officielle est le 21 juin 2013 et est annoncée ici.
    Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
    Comme pour la version précédente, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
    Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...)

  • Mise à disposition des fichiers

    14 avril 2011, par

    Par défaut, lors de son initialisation, MediaSPIP ne permet pas aux visiteurs de télécharger les fichiers qu’ils soient originaux ou le résultat de leur transformation ou encodage. Il permet uniquement de les visualiser.
    Cependant, il est possible et facile d’autoriser les visiteurs à avoir accès à ces documents et ce sous différentes formes.
    Tout cela se passe dans la page de configuration du squelette. Il vous faut aller dans l’espace d’administration du canal, et choisir dans la navigation (...)

  • MediaSPIP version 0.1 Beta

    16 avril 2011, par

    MediaSPIP 0.1 beta est la première version de MediaSPIP décrétée comme "utilisable".
    Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
    Pour avoir une installation fonctionnelle, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
    Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...)

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  • A Guide to Ethical Web Analytics in 2024

    17 juin 2024, par Erin

    User data is more valuable and sought after than ever. 

    Ninety-four percent of respondents in Cisco’s Data Privacy Benchmark Study said their customers wouldn’t buy from them if their data weren’t protected, with 95% saying privacy was a business imperative. 

    Unfortunately, the data collection practices of most businesses are far from acceptable and often put their customers’ privacy at risk. 

    But it doesn’t have to be this way. You can ethically collect valuable and insightful customer data—you just need the right tools.

    In this article, we show you what an ethical web analytics solution can look like, why Google Analytics is a problem and how you can collect data without risking your customers’ privacy.

    What is ethical web analytics ?

    Ethical web analytics put user privacy first. These platforms prioritise privacy and transparency by only collecting necessary data, avoiding implicit user identification and openly communicating data practices and tracking methods. 

    Ethical tools adhere to data protection laws like GDPR as standard (meaning businesses using these tools never have to worry about fines or disruptions). In other words, ethical web analytics refrain from exploiting and profiting from user behaviour and data. 

    Unfortunately, most traditional data solutions collect as much data as possible without users’ knowledge or consent.

    Why does digital privacy matter ?

    Digital privacy matters because companies have repeatedly proven they will collect and use data for financial gain. It also presents security risks. Unsecured user data can lead to identity theft, cyberattacks and harassment. 

    Big tech companies like Google and Meta are often to blame for all this. These companies collect millions of user data points — like age, gender, income, political beliefs and location. Worse still, they share this information with interested third parties.

    After public outrage over data breaches and other privacy scandals, consumers are taking active steps to disallow tracking where possible. IAPP’s Privacy and Consumer Trust Report finds that 68% of consumers across 19 countries are somewhat or very concerned about their digital privacy. 

    There’s no way around it : companies of all sizes and shapes need to consider how they handle and protect customers’ private information

    Why should you use an ethical web analytics tool ?

    When companies use ethical web analytics tools they can build customer trust, boost their brand reputation, improve data security practices and future proof their website tracking solution. 

    Boost brand reputation

    The fallout from a data privacy scandal can be severe. 

    Just look at what happened to Facebook during the Cambridge Analytica data scandal. The eponymous consulting firm harvested 50 million Facebook profiles and used that information to target people with political messages. Due to the instant public backlash, Facebook’s stock tanked, and use of the “delete Facebook” hashtag increased by 423% in the following days.

    That’s because consumers care about data privacy, according to Deloitte’s Connected Consumer Study :

    • Almost 90 percent agree they should be able to view and delete data companies collect 
    • 77 percent want the government to introduce stricter regulations
    • Half feel the benefits they get from online services outweigh data privacy concerns.

    If you can prove you buck the trend by collecting data using ethical methods, it can boost your brand’s reputation. 

    Build trust with customers

    At the same time, collecting data in an ethical way can help you build customer trust. You’ll go a long way to changing consumer perceptions, too. Almost half of consumers don’t like sharing data, and 57% believe companies sell their data. 

    This additional trust should generate a positive ROI for your business. According to Cisco’s Data Privacy Benchmark Study, the average company gains $180 for every $100 they invest in privacy. 

    Improve data security

    According to IBM’s Cost of a Data Breach report, the average cost of a data breach is nearly $4.5 million. This kind of scenario becomes much less likely when you use an ethical tool that collects less data overall and anonymises the data you do collect. 

    Futureproof your web analytics solution

    The obvious risk of not complying with privacy regulations is a fine — which can be up to €20 million, or 4% of worldwide annual revenue in the case of GDPR.

    It’s not just fines and penalties you risk if you fail to comply with privacy regulations like GDPR. For some companies, especially larger ones, the biggest risk of non-compliance with privacy regulations is the potential sudden need to abandon Google Analytics and switch to an ethical alternative.

    If Data Protection Authorities ban Google Analytics again, as has happened in Austria, France, and other countries, businesses will be forced to drop everything and make an immediate transition to a compliant web analytics solution.

    When an organisation’s entire marketing operation relies on data, migrating to a new solution can be incredibly painful and time-consuming. So, the sooner you switch to an ethical tool, the less of a headache the process will be. 

    The problem with Google Analytics

    Google Analytics (GA) is the most popular analytics platform in the world, but it’s a world away from being an ethical tool. Here’s why :

    You don’t have data ownership

    Google Analytics is attractive to businesses of all sizes because of its price. Everyone loves getting something for free, but there’s still a cost — your and your customers’ data.

    That’s because Google combines the data you collect with information from the millions of other websites it tracks to inform its advertising efforts. It may also use your data to train large language models like Gemini. 

    It has a rocky history with GDPR laws

    Google and EU regulators haven’t always got along. For example, the German Data Protection Authority is investigating 200,000 pending cases against websites using GA. The platform has also been banned and added back to the EU-US Data Privacy Framework several times over the past few years. 

    You can use GA to collect data about EU customers right now, but there’s no guarantee you’ll be able to do so in the future. 

    It requires a specific setup to remain compliant

    While you can currently use GA in a GDPR-compliant way — owing to its inclusion in the EU-US Data Privacy Framework — you have to set it up in a very specific way. That’s because the platform’s compliance depends on what data you collect, how you inform users and the level of consent you acquire. You’ll still need to include an extensive privacy policy on your website. 

    What does ethical web analytics look like ?

    An ethical web analytics solution should put user privacy first, ensure compliance with regulations like GDPR, give businesses 100% control of the data they collect and be completely transparent about data collection and storage practices. 

    What does ethical web tracking look like?

    100% data ownership

    You don’t fully control customer data when you use Google Analytics. The search giant uses your data for its own advertising purposes and may also use it to train large language models like Gemini. 

    When you choose an ethical web analytics alternative like Matomo, you can ensure you completely own your data.

    Try Matomo for Free

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

    No credit card required

    Respects user privacy

    It’s possible to track and measure user behaviour without collecting personally identifiable information (PII). Just look at the ethical web analytics tools we’ve reviewed below. 

    These platforms respect user privacy and conform to strict privacy regulations like GDPR, CCPA and HIPAA by incorporating some or all of the following features :

    In Matomo’s case, it’s all of the above. Better still, you can check our privacy credentials yourself. Our software’s source code is open source on GitHub and accessible to anyone at any time. 

    Compliant with government regulations

    While Google’s history with data regulations is tumultuous, an ethical web analytics platform should follow even the strictest privacy laws, including GDPR, HIPAA, CCPA, LGPD and PECR.

    But why stop there ? Matomo has been approved by the French Data Protection Authority (CNIL) as one of the few web analytics tools that French sites can use to collect data without tracking consent. So you don’t need an annoying consent banner popping up on your website anymore. 

    Try Matomo for Free

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

    No credit card required

    Complete transparency 

    Ethical web analytics tools will be upfront about their data collection practices, whether that’s in the U.S., EU, or on your own private servers. Look for a solution that refrains from collecting personally identifiable information, shows where data is stored, and lets you alter tracking methods to increase privacy even further. 

    Some solutions, like Matomo, will increase transparency further by providing open source software. Anyone can find our source code on GitHub to see exactly how our platform tracks and stores user data. This means our code is regularly examined and reviewed by a community of developers, making it more secure, too.

    Ethical web analytics solutions

    There are several options for an ethical web analytics tool. We list three of the best providers below. 

    Matomo

    Matomo is an open source web analytics tool and privacy-focused Google Analytics alternative used by over one million sites globally. 

    Screenshot example of the Matomo dashboard

    Matomo is fully compliant with prominent global privacy regulations like GDPR, CCPA and HIPAA, meaning you never have to worry about collecting consent when tracking user behaviour. 

    The data you collect is completely accurate since Matomo doesn’t use data sampling and is 100% yours. We don’t share data with third parties but can prove it. Our product source code is publicly available on GitHub. As a community-led project, you can download and install it yourself for free. 

    With Matomo, you get a full range of web analytics capabilities and behavioural analytics. That includes your standard metrics (think visitors, traffic sources, bounce rates, etc.), advanced features to analyse user behaviour like A/B Testing, Form Analytics, Heatmaps and Session Recordings. 

    Migrating to Matomo is easy. You can even import historical Google Analytics data to generate meaningful insights immediately. 

    Try Matomo for Free

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

    No credit card required

    Fathom

    Fathom Analytics is a lightweight privacy-focused analytics solution that launched in 2018. It aims to be an easy-to-use Google Analytics alternative that doesn’t compromise privacy. 

    A screenshot of the Fathom website

    Like Matomo, Fathom complies with all major privacy regulations, including GDPR and CCPA. It also provides 100% accurate, unsampled reports and doesn’t share your data with third parties. 

    While Fathom provides fairly comprehensive analytics reports, it doesn’t have some of Matomo’s more advanced features. That includes e-commerce tracking, heatmaps, session recordings, and more. 

    Plausible

    Plausible Analytics is another open source Google Analytics alternative that was built and hosted in the EU. 

    A screenshot of the Plausible website

    Launched in 2019, Plausible is a newer player in the privacy-focused analytics market. Still, its ultra-lightweight script makes it an attractive option for organisations that prioritise speed over everything else. 

    Like Matomo and Fathom, Plausible is GDPR and CCPA-compliant by design. Nor is there any cap on the amount of data you collect or any debate over whether the data is accurate (Plausible doesn’t use data sampling) or who owns the data (you do). 

    Matomo makes it easy to migrate to an ethical web analytics alternative

    There’s no reason to put your users’ privacy at risk, especially when there are so many benefits to choosing an ethical tool. Whether you want to avoid fines, build trust with your customers, or simply know you’re doing the right thing, choosing a privacy-focused, ethical solution like Matomo is taking a massive step in the right direction. 

    Making the switch is easy, too. Matomo is one of the few options that lets you import historical Google Analytics data, so starting from scratch is unnecessary. 

    Get started today by trying Matomo for free for 21-days. No credit card required. 

  • B2B Marketing Attribution Guide : How to Master It in 2024

    21 mai 2024, par Erin

    The last thing you want is to invest your advertising dollars in channels, campaigns and ads that don’t work. But B2B marketing attribution — figuring out which marketing efforts drive revenue — is far from easy.

    With longer sales funnels and multiple people from the same company involved in the same sales process, B2B (business-to-business) is a different ballgame from B2C (business-to-consumer) marketing.

    In this guide, we break down what B2B marketing attribution is, how it’s different, which tools you can use to set it up and the best practices.

    What is B2B marketing attribution ?

    Marketing attribution in B2B companies is about figuring out where your high-value leads come from — nailing down long customer journeys across many different touchpoints.

    Illustration of attributing a multi-person customer journey

    The goal is to determine which campaigns and content contributed to various parts of the customer journey. It’s a complex process that needs a reliable, privacy-focused web analytics tool and a CRM that integrates with it.

    This process significantly differs from traditional marketing attribution, where you focus more on short sales cycles from individual customers. With multiple contributing decision makers, B2B attribution requires more robust systems.

    What makes marketing attribution different for B2B ?

    The key differences between B2B and B2C marketing attribution are a longer sales funnel and more people involved in the sales process.

    The B2B sales funnel is significantly longer and more complex

    The typical B2C sales funnel is often broken down into four simple stages :

    1. Awareness : when a prospect first finds out about your product or brand
    2. Interest : where a prospect starts to learn about the benefits of your product
    3. Desire : when a prospect understands that they need your product
    4. Action : the actual process of closing the sale

    Even the most simplified B2B sales funnel includes several key stages.

    5 stages of the B2B customer journey.

    Here’s a brief overview of each :

    1. Awareness : Buyers recognise they have a problem and start looking for solutions. Stand out with blog posts, social media updates, ebooks and whitepapers.
    2. Consideration : Buyers are aware of your company and are comparing options. Provide product demos, webinars and case studies to address their concerns and build trust.
    3. Conversion : Buyers have chosen your product or company. Offer live demos, customer service, case studies and testimonials to finalise the purchase.
    4. Loyalty : Buyers have made a purchase and are now customers. Nurture relationships with thank you emails, follow-ups, how-tos, reward programs and surveys to encourage repeat business.
    5. Advocacy : Loyal customers become advocates, promoting your brand to others. Encourage this with surveys, testimonial requests and a referral program.

    A longer sales cycle typically involves not only more touchpoints but also extended decision-making processes.

    More teams are involved in the marketing and sales process

    The last differentiation in B2B attribution is the number of people involved. Instead of clear-cut sales and marketing teams, revenue teams are becoming more common.

    They include all go-to-market teams like sales, marketing, customer success and customer support. In B2B sales, long-term customer relationships can be incredibly valuable. As such, the focus shifts away from new customer acquisition alone.

    For example, you can also track and optimise your onboarding process. Marketing gets involved in post-sale efforts to boost loyalty. Sales reps follow up with customer success to get new sales angles and insights. Customer support insights drive future product development.

    Everyone works together to meet high-level company goals.

    The next section will explore how to set up an attribution system.

    How to find the right mix of B2B marketing attribution tools

    For most B2B marketing teams, the main struggle with attribution is not with the strategy but with creating a reliable system that gives them the data points they need to implement that strategy.

    We’ll outline one approach you can take to achieve this without a million-dollar budget or internal data science team.

    Use website analytics to track touchpoints

    The first thing you want to do is install a reliable website analytics solution on your website. 

    Once you’ve got your analytics in place, use campaign tracking parameters to track touchpoints from external campaigns like email newsletters, social media ads, review sites (like Capterra) and third-party partner campaigns.

    This way, you get a clear picture of which sources are driving traffic and conversions, helping you improve your marketing strategies.

    With analytics installed, you can track the referring sources of visits, engagement and conversion events. A robust solution like Matomo tracks everything from traffic sources, marketing attribution and visitor counts to behavioural analytics, like clicks, scrolling patterns and form interactions on your site.

    Marketing attribution will give you a cohesive view of which traffic sources and campaigns drive conversions and revenue over long periods. With Matomo’s marketing attribution feature, you can even use different marketing attribution models to compare results :

    Matomo comparing linear, first click, and last click attribution models in the marketing attribution dashboard

    For example, in a single report, you can compare the last interaction, first interaction and linear (three common marketing attribution models). 

    In total, Matomo has 6 available attribution models to choose from :

    1. First interaction
    2. Last interaction
    3. Last non-direct 
    4. Linear
    5. Position based
    6. Time decay 

    These additional attribution models are crucial for B2B sites. While other web analytics solutions often limit to last-click attribution, this model isn’t optimal for B2B with extended sales cycles.

    Try Matomo for Free

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

    No credit card required

    Use a CRM to integrate customer data from multiple sources

    Use your CRM software to integrate customer data from multiple sources. This will give you the ability to get meaningful B2B marketing insights. For example, you can get company-level insights so you can view conversion information by company, not just by person.

    Done effectively, you can close the loop back to analytics data by integrating data from multiple teams and platforms. 

    Implement self-reported attribution

    To further enhance the data, add qualifying questions in the lead signup process to create a hybrid attribution model. This is also known as self-reported attribution.

    Example of self-reported attribution

    Your web analytics platform won’t always be able to track the source of certain visits — for instance, “dark social” or peer-to-peer sharing, where links are shared privately and are not easily traceable by analytics tools.

    Doing self-reported attribution is crucial for getting a holistic image of your customer journey. 

    However, self-reported attribution isn’t foolproof ; users may click randomly or inaccurately recall where they first heard about you. So it’s essential to blend this data with your analytics to gain a more accurate understanding.

    Best practices for handling B2B prospect data in a privacy-sensitive world 

    Lastly, it’s important to respect your prospects’ privacy and comply with privacy regulations when conducting B2B marketing attribution.

    Privacy regulations and their enforcement are rapidly gaining momentum around the globe. Meta recently received a record GDPR fine of €1.2 billion for insufficient privacy measures when handling user data by the Irish Data Protection Agency.

    If you don’t want to risk major fines (or customers feeling betrayed), you shouldn’t follow in the same footsteps.

    Switch to a privacy-friendly web analytics

    Instead of using a controversial solution like Google Analytics, use a privacy-friendly web analytics solution like Matomo, Fathom or Plausible. 

    These alternatives not only ensure compliance with regulations like GDPR but also provide peace of mind amid the uncertain relationship between Google and GDPR. Google Analytics has faced bans in recent years, raising concerns about the future of the solution.

    While organisations governed by GDPR can currently use Google Analytics, there’s no guarantee of its continued availability.

    Make the switch to privacy-friendly web analytics to avoid potential fines and disruptive rulings that could force you to change platforms urgently. Such disruptions can be catastrophic for marketing teams heavily reliant on web analytics for tracking campaigns, business goals and marketing efforts.

    Improve your B2B marketing attribution with Matomo

    Matomo’s privacy-by-design architecture makes it the perfect analytics platform for the modern B2B marketer. Matomo enables you to meet even the strictest privacy regulations.

    At the same time, through campaign tracking URLs, marketing attribution, integrations and our API, you can track the results of various marketing channels and campaigns effectively. We help you understand the impact of each dollar of your marketing budget. 

    If you want a competitive edge over other B2B companies, try Matomo for free for 21 days. No credit card required.

  • Revision 79003 : Pipeline "afficher_contenu_objet" : prendre en compte le cas où ...

    30 novembre 2013, par tcharlss@… — Log

    Pipeline "afficher_contenu_objet" : prendre en compte le cas où l’identifiant de l’objet n’est pas donné par $fluxargs ?id_objet ? mais par $fluxargs ?contexte ?id ?.
    Problème constaté sur la fiche d’une commande.
    ps : De plus, l’exemple du site http://programmer.spip.net/afficher_contenu_objet,434 récupère l’identifiant avec $fluxargs ?id ?