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  • Participer à sa traduction

    10 avril 2011

    Vous pouvez nous aider à améliorer les locutions utilisées dans le logiciel ou à traduire celui-ci dans n’importe qu’elle nouvelle langue permettant sa diffusion à de nouvelles communautés linguistiques.
    Pour ce faire, on utilise l’interface de traduction de SPIP où l’ensemble des modules de langue de MediaSPIP sont à disposition. ll vous suffit de vous inscrire sur la liste de discussion des traducteurs pour demander plus d’informations.
    Actuellement MediaSPIP n’est disponible qu’en français et (...)

  • Mise à jour de la version 0.1 vers 0.2

    24 juin 2013, par

    Explications des différents changements notables lors du passage de la version 0.1 de MediaSPIP à la version 0.3. Quelles sont les nouveautés
    Au niveau des dépendances logicielles Utilisation des dernières versions de FFMpeg (>= v1.2.1) ; Installation des dépendances pour Smush ; Installation de MediaInfo et FFprobe pour la récupération des métadonnées ; On n’utilise plus ffmpeg2theora ; On n’installe plus flvtool2 au profit de flvtool++ ; On n’installe plus ffmpeg-php qui n’est plus maintenu au (...)

  • Personnaliser en ajoutant son logo, sa bannière ou son image de fond

    5 septembre 2013, par

    Certains thèmes prennent en compte trois éléments de personnalisation : l’ajout d’un logo ; l’ajout d’une bannière l’ajout d’une image de fond ;

Sur d’autres sites (8626)

  • Google Analytics Privacy Issues : Is It Really That Bad ?

    2 juin 2022, par Erin

    If you find yourself asking : “What’s the deal with Google Analytics privacy ?”, you probably have some second thoughts. 

    Your hunch is right. Google Analytics (GA) is a popular web analytics tool, but it’s far from being perfect when it comes to respecting users’ privacy. 

    This post helps you understand tremendous Google Analytics privacy concerns users, consumers and regulators expressed over the years.

    In this blog, we’ll cover :

    What Does Google Analytics Collect About Users ? 

    To understand Google Analytics privacy issues, you need to know how Google treats web users’ data. 

    By default, Google Analytics collects the following information : 

    • Session statistics — duration, page(s) viewed, etc. 
    • Referring website details — a link you came through or keyword used. 
    • Approximate geolocation — country, city. 
    • Browser and device information — mobile vs desktop, OS usage, etc. 

    Google obtains web analytics data about users via two means : an on-site Google Analytics tracking code and cookies.

    A cookie is a unique identifier (ID) assigned to each user visiting a web property. Each cookie stores two data items : unique user ID and website name. 

    With the help of cookies, web analytics solutions can recognise returning visitors and track their actions across the website(s).

    First-party vs third-party cookies
    • First party cookies are generated by one website and collect user behaviour data from said website only. 
    • Third-party cookies are generated by a third-party website object (for example, an ad) and can track user behaviour data across multiple websites. 

    As it’s easy to imagine, third-party cookies are a goldmine for companies selling online ads. Essentially, they allow ad platforms to continue watching how the user navigates the web after clicking a certain link. 

    Yet, people have little clue as to which data they are sharing and how it is being used. Also, user consent to tracking across websites is only marginally guaranteed by existing Google Analytics controls. 

    Why Third-Party Cookie Data Collection By GA Is Problematic 

    Cookies can transmit personally identifiable information (PII) such as name, log in details, IP address, saved payment method and so on. Some of these details can end up with advertisers without consumers’ direct knowledge or consent.

    Regulatory frameworks such as General Data Protection Regulation (GDPR) in Europe and California Consumer Privacy Act (CCPA) emerged as a response to uncontrolled user behaviour tracking.

    Under regulatory pressure, Big Tech companies had to adapt their data collection process.

    Apple was the first to implement by-default third-party blocking in the Safari browser. Then added a tracking consent mechanism for iPhone users starting from iOS 15.2 and later. 

    Google, too, said it would drop third-party cookie usage after The European Commission and UK’s Competition and Markets Authority (CMA) launched antitrust investigations into its activity. 

    To shake off the data watchdogs, Google released a Privacy Sandbox — a set of progressive tech, operational and compliance changes for ensuring greater consumer privacy. 

    Google’s biggest promise : deprecate third-party cookies usage for all web and mobile products. 

    Originally, Google promised to drop third-party cookies by 2022, but that didn’t happen. Instead, Google delayed cookie tracking depreciation for Chrome until the second half of 2023

    Why did they push back on this despite hefty fines from regulators ?

    Because online ads make Google a lot of money.

    In 2021, Alphabet Inc (parent company of Google), made $256.7 billion in revenue, of which $209.49 billion came from selling advertising. 

    Lax Google Analytics privacy enforcement — and its wide usage by website owners — help Google make those billions from collecting and selling user data. 

    How Google Uses Collected Google Analytics Data for Advertising 

    Over 28 million websites (or roughly 85% of the Internet) have Google Analytics tracking codes installed. 

    Even if one day we get a Google Analytics version without cookies, it still won’t address all the privacy concerns regulators and consumers have. 

    Over the years, Google has accumulated an extensive collection of user data. The company’s engineers used it to build state-of-the-art deep learning models, now employed to build advanced user profiles. 

    Deep learning is the process of training a machine to recognise data patterns. Then this “knowledge” is used to produce highly-accurate predictive insights. The more data you have for model training — the better its future accuracy will be. 

    Google has amassed huge deposits of data from its collection of products — GA, YouTube, Gmail, Google Docs and Google Maps among others. Now they are using this data to build a third-party cookies-less alternative mechanism for modelling people’s preferences, habits, lifestyles, etc. 

    Their latest model is called Google Topics. 

    This comes only after Google’s failed attempt to replace cookie-based training with Federated Learning of Cohorts (FLoC) model. But the solution wasn’t offering enough user transparency and user controls among other issues.

    Google Topics
    Source : Google Blog

    Google Topics promises to limit the granularity of data advertisers get about users. 

    But it’s still a web user surveillance method. With Google Topics, the company will continue collecting user data via Chrome (and likely other Google products) — and share it with advertisers. 

    Because as we said before : Google is in the business of profiting off consumers’ data. 

    Two Major Ways Google Takes Advantage of Customer Data

    Every bit of data Google collects across its ecosystem of products can be used in two ways :

    • For ad targeting and personalisation 
    • To improve Google’s products 

    The latter also helps the former. 

    Advanced Ad Personalisation and Targeting

    GA provides the company with ample data on users’ 

    • Recent and frequent searches 
    • Location history
    • Visited websites
    • Used apps 
    • Videos and ads viewed 
    • Personal data like age or gender 

    The company’s privacy policy explicitly states that :

    Google Analytics Privacy Policy
    Source : Google

    Google also admits to using collected data to “measure the effectiveness of advertising” and “personalise content and ads you see on Google.” 

    But there are no further elaborations on how exactly customers’ data is used — and what you can do to prevent it from being shared with third parties. 

    In some cases, Google also “forgets” to inform users about its in-product tracking.

    Journalists from CNBC and The New York Times independently concluded that Google monitors users’ Gmail activity. In particular, the company scans your inbox for recent purchases, trips, flights and bills notifications. 

    While Google says that this information isn’t sold to advertisers (directly), they still may use the “saved information about your orders in other Google services”. 

    Once again, this means you have little control or knowledge of subsequent data usage. 

    Improving Product Usability 

    Google has many “arms” to collect different data points — from user’s search history to frequently-travelled physical routes. 

    They also reserve the right to use these insights for improving existing products. 

    Here’s what it means : by combining different types of data points obtained from various products, Google can pierce a detailed picture of a person’s life. Even if such user profile data is anonymised, it is still alarmingly accurate. 

    Douglas Schmidt, a computer science researcher at Vanderbilt University, well summarised the matter : 

    “[Google’s] business model is to collect as much data about you as possible and cross-correlate it so they can try to link your online persona with your offline persona. This tracking is just absolutely essential to their business. ‘Surveillance capitalism’ is a perfect phrase for it.”

    Google Data Collection Obsession Is Backed Into Its Business Model 

    OK, but Google offers some privacy controls to users ? Yes. Google only sees and uses the information you voluntarily enter or permit them to access. 

    But as the Washington Post correspondent points out :

    “[Big Tech] companies get to set all the rules, as long as they run those rules by consumers in convoluted terms of service that even those capable of decoding the legalistic language rarely bother to read. Other mechanisms for notice and consent, such as opt-outs and opt-ins, create similar problems. Control for the consumer is mostly an illusion.”

    Google openly claims to be “one of many ad networks that personalise ads based on your activity online”. 

    The wrinkle is that they have more data than all other advertising networks (arguably combined). This helps Google sell high-precision targeting and contextually personalised ads for billions of dollars annually.

    Given that Google has stakes in so many products — it’s really hard to de-Google your business and minimise tracking and data collection from the company.

    They are also creating a monopoly on data collection and ownership. This fact makes regulators concerned. The 2021 antitrust lawsuit from the European Commission says : 

    “The formal investigation will notably examine whether Google is distorting competition by restricting access by third parties to user data for advertising purposes on websites and apps while reserving such data for its own use.”

    In other words : By using consumer data to its unfair advantage, Google allegedly shuts off competition.

    But that’s not the only matter worrying regulators and consumers alike. Over the years, Google also received numerous other lawsuits for breaching people’s privacy, over and over again. 

    Here’s a timeline : 

    Separately, Google has a very complex history with GDPR compliance

    How Google Analytics Contributes to the Web Privacy Problem 

    Google Analytics is the key puzzle piece that supports Google’s data-driven business model. 

    If Google was to release a privacy-focused Google Analytics alternative, it’d lose access to valuable web users’ data and a big portion of digital ad revenues. 

    Remember : Google collects more data than it shares with web analytics users and advertisers. But they keep a lot of it for personal usage — and keep looking for ways to share this intel with advertisers (in a way that keeps regulators off their tail).

    For Google Analytics to become truly ethical and privacy-focused, Google would need to change their entire revenue model — which is something they are unlikely to do.

    Where does this leave Google Analytics users ? 

    In a slippery territory. By proxy, companies using GA are complicit with Google’s shady data collection and usage practice. They become part of the problem.

    In fact, Google Analytics usage opens a business to two types of risks : 

    • Reputational. 77% of global consumers say that transparency around how data is collected and used is important to them when interacting with different brands. That’s why data breaches and data misuse by brands lead to major public outrages on social media and boycotts in some cases. 
    • Legal. EU regulators are on a continuous crusade against Google Analytics 4 (GA4) as it is in breach of GDPR. French and Austrian watchdogs ruled the “service” illegal. Since Google Analytics is not GDPR compliant, it opens any business using it to lawsuits (which is already happening).

    But there’s a way out.

    Choose a Privacy-Friendly Google Analytics Alternative 

    Google Analytics is a popular web analytics service, but not the only one available. You have alternatives such as Matomo. 

    Our guiding principle is : respecting privacy.

    Unlike Google Analytics, we leave data ownership 100% in users’ hands. Matomo lets you implement privacy-centred controls for user data collection.

    Plus, you can self-host Matomo On-Premise or choose Matomo Cloud with data securely stored in the EU and in compliance with GDPR.

    The best part ? You can try our ethical alternative to Google Analytics for free. No credit card required ! Start your free 21-day trial now

  • Conversion Funnel Optimisation : 10 Ways to Convert More

    24 janvier 2024, par Erin

    Converting leads into happy customers is the ultimate goal of any sales and marketing team. But there are many steps in between those two events, or in other words, funnel stages. 

    Your sales funnel includes all the steps you take to make your audience aware of your product or services and convince them to purchase. Conversion funnel optimisation strategies can help you move users through the stages of your sales funnel. 

    This article will show you how to optimise your conversion funnel and boost sales — no matter how your funnel looks. We’ll go over practical tips you can implement and how you can analyse and measure results.

    Let’s get started.

    What is conversion funnel optimisation ? 

    Conversion funnel optimisation is the strategic and ongoing process of refining and improving the different stages of a sales or marketing funnel to increase the rate at which users complete desired actions.

    A sales funnel represents the stages a potential customer goes through before purchasing. 

    The typical stages of a sales funnel include :

    • Awareness : At the top of the funnel, potential customers become aware of your product or service. 
    • Consideration : In this stage, prospects evaluate the product or service against alternatives. They may compare features, prices and customer reviews to make an informed decision.
    • Conversion : The prospect completes the transaction and becomes an actual customer by purchasing.
    • Loyalty : You can turn one-time buyers into repeat customers and brand advocates. 

    It’s called a “funnel” because, similar to the shape of a funnel, the number of potential customers decreases as they progress through the various stages of the sales process — as you can see illustrated below.

    Marketing funnel stages

    Sales funnels can vary across industries and business models, but the general concept remains the same. The goal is to guide potential customers through each funnel stage, addressing their needs and concerns at each step, ultimately leading to a successful conversion. 

    You can create and monitor a custom funnel for your site’s user journey with a web analytics solution like Matomo.

    Try Matomo for Free

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

    No credit card required

    The importance of conversion funnel optimisation 

    At the heart of conversion funnel optimisation is the quest for higher conversion rates

    Refining the customer journey can increase the chances of turning visitors into customers who return repeatedly.

    Specifically, here’s how conversion funnel optimisation can benefit your business :

    • Increased conversions : Marketers can increase the likelihood of turning website visitors into customers by making the user journey more user-friendly and persuasive.
    • Higher revenue : Improved conversion rates aren’t just numbers on a chart ; they translate to tangible revenue. 
    • Increased ROI (return on investment) : By optimising the conversion funnel, you can get more value from your marketing and sales efforts. 
    • Improved customer satisfaction : When customers find it easy and enjoyable to interact with a website or service, it positively influences their satisfaction and likelihood of returning.
    • Data-driven decision-making : Businesses can make informed decisions on budgets and resources based on user behaviour and performance metrics by analysing and optimising conversion funnels.

    ​​Ultimately, conversion funnel optimisation efforts align the entire funnel with overarching business goals.

    10 ways to optimise your conversion funnel 

    Here are 10 ways to optimise your conversion funnel.

    1. Identify and segment your target audience

    The key to a successful conversion funnel begins with a deep understanding of your target audience. 

    Identifying and segmenting your audience lets you speak directly to their pain points, desires and motivations.

    One effective way to know your audience better is by creating detailed buyer personas. These are fictional representations of your ideal customers based on thorough market research and real data. Dive into demographics and behavioural patterns to craft personas that resonate with your audience.

    Audience segmentation

    Note that consumer preferences are not static. They evolve, influenced by trends, technological advancements and shifts in societal values. Staying attuned to these changes is crucial as part of optimising your conversion funnel.

    Thus, you must regularly update your buyer personas and adjust your marketing strategies accordingly.

    2. Create content for every stage of the funnel

    Each funnel stage represents a different mindset and needs for your potential customers. Tailoring your content ensures you deliver the right message at the right time to the right audience. 

    Here’s how to tailor your content to fit prospective customers at every conversion funnel stage.

    Awareness-stage content

    Prospects here are seeking information. Your content should be educational and focused on addressing their pain points. Create blog posts, infographics and videos introducing them to your industry, product or service.

    This video we created at Matomo is a prime example of awareness-stage content, grabbing attention and educating viewers about Matomo.

    Consideration-stage content

    Prospects are evaluating their options. Provide content highlighting your product’s unique selling points, such as case studies, product demonstrations and customer testimonials.

    Here’s how we use a versus landing page at Matomo to persuade prospects at this funnel stage.

    Versus page example from Matomo comparing Google Analytics alternative

    Conversion-stage content

    This is the final push. Ensure a smooth transition to conversion with content like promotional offers, limited-time discounts and clear calls to action (CTA).

    Loyalty-stage content

    In this stage, you might express gratitude for the purchase through personalised thank-you emails. Follow up with additional resources, tips or exclusive offers to reinforce a positive post-purchase experience. This also positions your brand as a helpful resource beyond the initial sale.

    Reward customer loyalty with exclusive offers, discounts or membership in a loyalty program.

    3. Capture leads

    Lead magnets are incentives offered to potential customers in exchange for their contact information, typically their email addresses. 

    Examples of lead magnets include :

    • Ebooks and whitepapers : In-depth resources that delve into specific topics of interest to your target audience.
    • Webinars and workshops : Live or recorded sessions that offer valuable insights, training or demonstrations.
    • Free trials and demos : Opportunities for potential customers to experience your product or service firsthand.
    • Checklists and templates : Practical tools that help your audience solve specific challenges.
    • Exclusive offers and discounts : Special promotions are available to those who subscribe or provide their contact information.

    For instance, here’s how HubSpot uses templates as lead magnets.

    HubSpot templates

    Similarly, you can incorporate your lead magnets into relevant articles or social media posts, email campaigns and other marketing channels.

    4. Optimise your landing pages

    Understanding how visitors interact with your landing pages is a game-changer. So, the first step in optimising your landing pages is to analyse them.

    Enter Matomo’s heatmaps — the secret weapon in landing page optimisation. They visually represent how users interact with your pages, revealing where they linger, what catches their attention and where they may encounter friction. 

    Matomo Heatmaps Feature

    Here are a few landing page elements you should pay attention to :

    • Strategic visual elements : Integrate high-quality images, videos and graphics that support your message and guide visitors through the content.
    • Compelling copy : Develop concise and persuasive copy that emphasises the benefits of your offering, addressing user pain points.
    • Effective CTA : Ensure your CTA is prominently displayed, using compelling language and colours that stand out.
    • Mobile responsiveness : Optimise your landing pages for various devices, especially considering the prevalence of mobile users.
    • Minimal form fields : Reduce friction by keeping form fields to a minimum, requesting only essential information.
    • ​​Leverage social proof : Integrate testimonials, reviews and trust badges to build trust and credibility.
    • A/B testing : Experiment with variations in design, copy and CTAs through A/B testing, allowing data to guide your decisions.

    Try Matomo for Free

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

    No credit card required

    5. ​​Use compelling Calls to Action (CTAs)

    Crafting compelling CTAs is an art that involves a careful balance of persuasion, clarity and relevance.

    Here are a few tips you can implement to write CTAs that support your goals :

    • Use language that compels action. Instead of generic phrases like “Click Here,” opt for more persuasive alternatives such as “Unlock Exclusive Access” or “Start Your Free Trial.”
    • Make sure your CTAs are clear and straightforward. Visitors should instantly understand what action you want them to take. 
    • Tailor CTAs to the specific content on the page. Whether it’s a blog post, landing page or email, the CTA should seamlessly connect with the surrounding context.
    • Position your CTAs strategically. They should be prominently displayed and easily noticeable, guiding visitors without intruding.
    • Create a sense of urgency. Encourage immediate action by incorporating language that instils a sense of urgency. Phrases like “Limited Time Offer” or “Act Now” can prompt quicker responses.

    6. Have an active social presence

    Social media platforms are bustling hubs of activity where your target audience spends a significant portion of their online time. Cultivating a social media presence allows you to meet your audience where they are, fostering a direct line of communication.

    Moreover, the integration of shopping features directly into social media platforms transforms them into seamless shopping experiences. Nearly half of Instagram users shop weekly through the platform. 

    Also, the US social commerce sales continue to grow each year and are expected to reach $79.64 billion by 2025.

    Graph showing the UD social commerce sales 2019-2025

    7. Build a brand community

    Four in five customers consider communities important to how engaged they are with a brand.

    A strong community fosters a sense of belonging and loyalty among members. When customers feel connected to your brand and each other, they are more likely to remain loyal over the long term. 

    Also, satisfied community members often share their positive experiences with others, expanding your brand’s reach without additional marketing efforts.

    For example, Nike’s community for runners is a digital space where individuals share their running journeys, accomplishments and challenges. 

    Nike Run Club page

    By strategically building and nurturing a community, you not only enhance retention and spur referrals but also create a space where your brand becomes an integral part of your customers’ lives. 

    8. Conduct A/B tests

    A/B testing systematically compares two versions of a webpage, email or other content to determine which performs better.

    Examples of elements to A/B test :

    • CTAs : The language, colour, size and placement of CTAs can significantly impact user engagement. A/B testing allows you to discover which variations prompt the desired actions.
    • Headlines : Crafting compelling headlines is an art. Test different versions to identify which headlines resonate best with your audience, whether they are more drawn to clarity, humour, urgency or curiosity.
    • Images : Test different images to understand your audience’s visual preferences. This could include product images, lifestyle shots or graphics.
    Matomo A/B Test feature

    With Matomo’s A/B testing feature, you can test various elements to see which is successful in converting visitors or moving them to the next stage of the conversion funnel.

    9. Leverage social proof

    In an era where consumers are inundated with choices, the opinions, reviews and endorsements of others serve as beacons, guiding potential customers through the decision-making process. 

    Simply put — when people see that others have had positive experiences with your brand, it instils trust and confidence.

    Importance of social proof

    You can proactively gather social proof and display it prominently across your marketing channels. Here are some examples of social proof you can leverage :

    • Customer reviews : Positive reviews and testimonials from satisfied customers serve as authentic endorsements of your products or services. 
    • Case studies : In-depth case studies that showcase successful collaborations or solutions provided to clients offer a detailed narrative of your brand’s capabilities. These are particularly effective in B2B scenarios or for complex products and services.
    • User-generated content : Encourage customers to share their experiences. This could include photos, videos or posts on social media platforms, providing a dynamic and genuine portrayal of your brand.
    • Influencer endorsements : Collaborating with influencers in your industry or niche can amplify your social proof. When influencers vouch for your products or services, their followers are more likely to take notice.

    10. Measure and analyse performance

    This is a continuous loop of refinement, where you should use analysis and data-driven insights to guide your conversion funnel optimisation efforts.

    Here’s a systematic approach you can take :

    1. Identify the path users take on your site using a feature like Users Flow.
    2. Map the customer journey using a Funnels feature like the one in Matomo. 
    3. Identify the metrics that align with your conversion goals at each stage of the funnel, such as website traffic, conversion rates, click-through rates and customer acquisition costs.
    4. Assess conversion rates at different stages of the funnel. Identify areas with significant drop-offs and investigate factors that might contribute to the decline.
    5. Use heatmaps and session recordings to see first-hand how users interact with your site.
    6. Create an experiment to test and improve a specific area within your funnel using insights from the heatmaps and session recordings.
    7. A/B test, analyse the results to understand which variations performed better. Use this data to refine elements within your funnel.

    See how Concrete CMS 3x their leads with conversion optimisation.

    Conclusion 

    The customer journey is not linear. However, it involves a few specific stages your audience will go through — from first learning about your product or services to considering whether to try it. The goal is to turn them into happy and loyal customers.

    In this article, we went over strategies and practical tips you can use to guide customers through the conversion funnel. From segmenting your audience to capturing leads, optimising landing pages and running A/B tests, there are steps you can take to ensure your audience will move to the next stage.

    And of course, you have to continuously measure and analyse your performance. That’s how you know whether you’re heading in the right direction and, if not, where to correct your course. 

    For that, you need a robust web analytics solution with conversion optimisation features. Try Matomo free for 21 days and start optimising your conversion funnel—no credit card required. 

  • Revision 29944 : On peut comptabiliser les pages du privé

    17 juillet 2009, par kent1@… — Log

    On peut comptabiliser les pages du privé