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  • Personnaliser les catégories

    21 juin 2013, par

    Formulaire de création d’une catégorie
    Pour ceux qui connaissent bien SPIP, une catégorie peut être assimilée à une rubrique.
    Dans le cas d’un document de type catégorie, les champs proposés par défaut sont : Texte
    On peut modifier ce formulaire dans la partie :
    Administration > Configuration des masques de formulaire.
    Dans le cas d’un document de type média, les champs non affichés par défaut sont : Descriptif rapide
    Par ailleurs, c’est dans cette partie configuration qu’on peut indiquer le (...)

  • Supporting all media types

    13 avril 2011, par

    Unlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)

  • Keeping control of your media in your hands

    13 avril 2011, par

    The vocabulary used on this site and around MediaSPIP in general, aims to avoid reference to Web 2.0 and the companies that profit from media-sharing.
    While using MediaSPIP, you are invited to avoid using words like "Brand", "Cloud" and "Market".
    MediaSPIP is designed to facilitate the sharing of creative media online, while allowing authors to retain complete control of their work.
    MediaSPIP aims to be accessible to as many people as possible and development is based on expanding the (...)

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  • Image processing in FFmpeg when playing a movie

    2 juillet 2016, par followait

    e.g. find car license plates and draw a bounding box for each plate
    Any easy way, or I’ve to do it myself ?
    Thanks.

  • What Is Data Ethics & Why Is It Important in Business ?

    9 mai 2024, par Erin

    Data is powerful — every business on earth uses data. But some are leveraging it more than others.

    The problem ?

    Not all businesses are using data ethically.

    You need to collect, store, and analyse data to grow your business. But, if you aren’t careful, you could be crossing the line with your data usage into unethical territories.

    In a society where data is more valuable than ever, it’s crucial you perform ethical practices.

    In this article, we break down what data ethics is, why it’s important in business and how you can implement proper data ethics to ensure you stay compliant while growing your business.

    What is data ethics ?

    Data ethics are how a business collects, protects and uses data.

    It’s one field of ethics focused on organisations’ moral obligation to collect, track, analyse and interpret data correctly.

    Data ethics analyses multiple ways we use data :

    • Collecting data
    • Generating data
    • Tracking data
    • Analysing data
    • Interpreting data
    • Implementing activities based on data

    Data ethics is a field that asks, “Is this right or wrong ?”

    And it also asks, “Can we use data for good ?”

    If businesses use data unethically, they could get into serious hot water with their customers and even with the law.

    You need to use data to ensure you grow your business to the best of your ability. But, to maintain a clean slate in the eyes of your customers and authorities, you need to ensure you have strong data ethics.

    Why you need to follow data ethics principles

    In 2018, hackers broke into British Airways’ website by inserting harmful code, leading website visitors to a fraudulent site. 

    The result ? 

    British Airways customers gave their information to the hackers without realising it : credit cards, personal information, login information, addresses and more.

    While this was a malicious attack, the reality is that data is an integral part of everyday life. Businesses need to do everything they can to protect their customers’ data and use it ethically.

    Data ethics is crucial to understand as it sets the standard for what’s right and wrong for businesses. Without a clear grasp of data ethics, companies will willingly or neglectfully misuse data.

    With a firm foundation of data ethics, businesses worldwide can make a collective effort to function smoothly, protect their customers, and, of course, protect their own reputation. 

    3 benefits of leaning into data ethics

    We’re currently transitioning to a new world led by artificial intelligence.

    While AI presents endless opportunities for innovation in the business world, there are also countless risks at play, and it’s never been more important to develop trust with your customers and stakeholders.

    With an influx of data being created and tracked daily, you need to ensure your business is prioritising data ethics to ensure you maintain trust with your customers moving forward.

    Diagram displaying the 3 benefits of data ethics - compliance, increased trust, maintain a good reputation.

    Here are three benefits of data ethics that will help you develop trust, maintain a solid reputation and stay compliant to continue growing your business :

    1. Compliance with data privacy

    Privacy is everything. 

    In a world where our data is being collected nonstop, and we live more public lives than ever with social media, AI and an influx of recording and tracking in everyday life, you need to protect the privacy of your customers.

    One crucial way to protect that privacy is by complying with major data privacy regulations.

    Some of the most common regulations you need to remain compliant with include :

    • General Data Protection Regulation (GDPR)
    • California Consumer Privacy Act (CCPA)
    • Health Insurance Portability and Accountability Act (HIPAA)
    • General Personal Data Protection Law (LGPD)
    • Privacy and Electronic Communications (EC Directive) Regulations (PECR)

    While these regulations don’t directly address ethics, there’s a core overlap between privacy requirements like accountability, lawfulness and AI ethics.

    Matomo ensures you protect the privacy of your web and app users so you can track and improve your website performance with peace of mind.

    2. Maintain a good reputation

    While data ethics can help you maintain data privacy compliance, it can also help you maintain a good reputation online and offline.

    All it takes is one bad event like the British Airways breach for your company’s reputation to be ruined.

    If you want to keep a solid reputation and maintain trust with your stakeholders, customers and lawmakers, then you need to focus on developing strong data ethics.

    Businesses that invest time in establishing proper data ethics set the right foundation to protect their reputation, develop trust with stakeholders and create goodwill and loyalty.

    3. Increased trust means greater revenue

    What happens when you establish proper data ethics ?

    You’ll gain the trust of your customers, maintain a solid reputation and increase your brand image.

    Customers who trust you to protect their privacy and data want to keep doing business with you.

    So, what’s the end result for a business that values data ethics ?

    You’ll generate more revenue in the long run. Trust is one thing you should never put on the back burner if you have plans to keep growing your business. By leaning more into data ethics, you’ll be able to build that brand reputation that helps people feel comfortable buying your products and services on repeat.

    While spending time and money on data ethics may seem like an annoyance, the reality is that it’s a business investment that will pay dividends for years to come.

    5 core data ethics principles

    So, what exactly is involved in data ethics ?

    For most people, data ethics is a pretty broad and vague term. If you’re curious about the core pillars of data ethics, then keep reading.

    Here are five core data ethical principles you need to follow to ensure you’re protecting your customers’ data and maintaining trust :

    Image displaying the 5 core data ethics principles - ownership, transparency, privacy, intention, outcomes.

    1. Data ownership

    The individual owns the data, not you. This is the first principle of data ethics. You don’t have control over someone else’s data. It’s theirs, and they have full ownership over it.

    Just as stealing a TV from an electronics store is a crime, stealing (or collecting) someone’s personal data without their consent is considered unlawful and unethical.

    Consent is the only way to ethically “own” someone’s data.

    How can you collect someone’s data ethically ?

    • Digital privacy policies
    • Signed, written agreements
    • Popups with checkboxes that allow you to track users’ behaviour

    Essentially, anytime you’re collecting data from your website or app users, you need to ensure you’re asking permission for that data.

    You should never assume a website visitor or customer is okay with you collecting your data automatically. Instead, ask permission to collect, track and use their data to avoid legal and ethical issues.

    2. Transparency

    The second core principle of data ethics within business is transparency. This means you need to be fully transparent on when, where and how you :

    • Collect data
    • Store data
    • Use data

    In other words, you need to allow your customers and website visitors to have a window inside your data activities.

    They need to be able to see exactly how you plan on using the data you’re collecting from them.

    For example, imagine you implemented a new initiative to personalise the website experience for each user based on individual behaviour. To do this, you’ll need to track cookies. In this case, you’d need to write up a new policy stating how this behavioural data is going to be collected, tracked and used.

    It’s within your website visitors’ rights to access this information so they can choose whether or not they want to accept or decline your website’s cookies.

    With any new data collection or tracking, you need to be 100% clear about how you’re going to use the data. You can’t be deceptive, misleading, or withholding any information on how you will use the data, as this is unethical and, in many cases, unlawful.

    3. Privacy

    Another important branch of ethics is privacy. The ethical implications of this should be obvious.

    When your users, visitors, or customers enter your sphere of influence and you begin collecting data on them, you are responsible for keeping that data private.

    When someone accepts the terms of your data usage, they’re not agreeing to have their data released to the public. They’re agreeing to let you leverage that data as their trusted business provider to better serve them. They expect you to maintain privacy.

    You can’t spread private information to third parties. You can’t blast this data to the public. 

    This is especially important if someone allows you to collect and use their personally identifiable information (PII), such as :

    • First and last name
    • Email address
    • Date of birth
    • Home address
    • Phone number

    To protect your audience’s data, you should only store it in a secure database. 

    Screenshot example of the Matomo dashboard

    For example, Matomo’s web analytics solution guarantees the privacy of both your users and analytics data.

    With Matomo, you have complete ownership of your data. Unlike other web analytics solutions that exploit your data for advertising purposes, Matomo users can use analytics with confidence, knowing that their data won’t be sold to advertisers.

    Learn more about data privacy with Matomo here.

    Try Matomo for Free

    Get the web insights you need, while respecting user privacy.

    No credit card required

    4. Intention

    When you collect and store data, you need to tell your users why you’re collecting their data. But there’s another principle of data ethics that goes beyond the reason you give your customers.

    Intention is the reason you give yourself for collecting and using the data.

    Before you start collecting and storing data, you should ask yourself the following :

    • Why you need it
    • What you’ll gain from it
    • What changes you’ll be able to make after you analyse the data

    If your intention is wrong in any way, it’s unethical to collect the data :

    • You’re collecting data to hurt others
    • You’re collecting data to profit from your users’ weaknesses
    • You’re collecting data for any other malicious reason

    When you collect data, you need to have the right intentions to maintain proper data ethics ; otherwise, you could harm your brand, break trust and ruin your reputation.

    5. Outcomes

    You may have the best intentions, but sometimes, there are negative outcomes from data use.

    For example, British Airways’ intention was not to allow hackers to gain access and harm their users. But the reality is that their customers’ data was stolen and used for malicious purposes. While this isn’t technically unlawful, the outcome of collecting data ended badly.

    To ensure proper data ethics, you must have good standing with your data. This means protecting your users at all costs, maintaining a good reputation and ensuring proper privacy measures are set up.

    How to implement data ethics as a business leader

    As a business leader, CTO or CEO, it’s your responsibility to implement data ethics within your organisation. Here are some tips to implement data ethics based on the size and stage of your organisation :

    Startups

    If you’re a startup, you need to be mindful of which technology and tools you use to collect, store and use data to help you grow your business.

    It can be a real challenge to juggle all the moving parts of a startup since things can change so quickly. However, it’s crucial to establish a leader and allow easy access to ethical analysis resources to maintain proper data ethics early on.

    Small and medium-sized businesses

    As you begin scaling, you’ll likely be using even more technology. With each new business technique you implement, there will be new ways you’ll be collecting user data. 

    One of the key processes involved in managing data as you grow is to hire engineers who build out different technologies. You must have protocols, best practices and management overseeing the new technologies being built to ensure proper data ethics.

    Global businesses

    Have you scaled internationally ?

    There will be even more rules, laws, regulations and organisations to answer to if you start managing data unethically.

    You should have established teams or departments to ensure you follow proper privacy and data protocols worldwide. When you have a large organisation, you have more money and vast amounts of data. This makes you a bigger target for leaks, ransomware and hackers.

    You should ensure you have cross-departmental groups working to establish ongoing protocols and training to keep your data management in good standing.

    Leverage data ethically with Matomo

    Data is powerful.

    It’s a crucial point of leverage that’s required to stay competitive.

    However, improper use and management of data can give you a bad reputation, break trust and even cause you legal trouble.

    That’s why you must maintain good data ethics within your organisation.

    One of the most important places to set up proper data ethics and privacy measures is with your website analytics.

    Matomo is the leading, privacy-friendly web analytics solution in the world. It automatically collects, stores, and tracks data across your website ethically.

    With over 1 million websites using Matomo, you get to take full control over your website performance with :

    • Accurate data (no data sampling)
    • Privacy-friendly and GDPR-compliant analytics
    • Open-source for transparency and to create a custom solution for you

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

  • What Is Incrementality & Why Is It Important in Marketing ?

    26 mars 2024, par Erin

    Imagine this : you just launched your latest campaign and it was a major success.

    You blew last month’s results out of the water.

    You combined a variety of tactics, channels and ad creatives to make it work.

    Now, it’s time to build the next campaign.

    The only issue ?

    You don’t know what made it successful or how much your recent efforts impacted the results.

    You’ve been building your brand for years. You’ve built up a variety of marketing pillars that are working for you. So, how do you know how much of your campaign is from years of effort or a new tactic you just implemented ?

    The key is incrementality.

    This is a way to properly attribute the right weight to your marketing tactics.

    In this article, we break down what incrementality is in marketing, how it differs from traditional attribution and how you can calculate and track it to grow your business.

    What is incrementality in marketing ?

    Incrementality in marketing is growth that can be directly credited to a marketing effort above and beyond the success of the branding.

    It looks at how much a specific tactic positively impacted a campaign on top of overall branding and marketing strategies.

    What is incrementally in marketing?

    For example, this could be how much a specific tactic, campaign or channel helped increase conversions, email sign-ups or organic traffic.

    The primary purpose of incrementally in marketing is to more accurately determine the impact a single marketing variable had on the success of a project.

    It removes every other factor and isolates the specific method to help marketers double down on that strategy or move on to new tactics.

    With Matomo, you can track conversions simply. With our last non-direct channel attribution system, you’ll be able to quickly see what channels are converting (and which aren’t) so you can gain insights into incrementality. 

    See why over 1 million websites choose Matomo today.

    Try Matomo for Free

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

    No credit card required

    How incrementality differs from attribution

    In marketing and advertising, it’s crucial to understand what tactics and activities drive growth.

    Incrementality and attribution help marketers and business owners understand what efforts impact their results.

    But they’re not the same.

    Here’s how they differ :

    Incrementality vs. attribution

    Incrementality explained

    Incrementality measures how much a specific marketing campaign or activity drives additional sales or growth.

    Simply put, it’s analysing the difference between having never implemented the campaign (or tactic or channel) in the first place versus the impact of the activity.

    In other words, how much revenue would you have generated this month without campaign A ?

    And how much additional revenue did you generate directly due to campaign A ?

    The reality is that dozens of factors impact revenue and growth.

    You aren’t just pouring your marketing into one specific channel or campaign at a time.

    Chances are, you’ve got your hands on several marketing initiatives like SEO, PPC, organic social media, paid search, email marketing and more.

    Beyond that, you’ve built a brand with a not-so-tangible impact on your recurring revenue.

    So, the question is, if you took away your new campaign, would you still be generating the same amount of revenue ?

    And, if you add in that campaign, how much additional revenue and growth did it directly create ?

    That is incrementality. It’s how much a campaign went above and beyond to add new revenue that wouldn’t have been there otherwise.

    So, how does attribution play into all of this ?

    Attribution explained

    Attribution is simply the process of assigning credit for a conversion to a particular marketing touchpoint.

    While incrementality is about narrowing down the overall revenue impact from a particular campaign, attribution seeks to point to a specific channel to attribute a sale.

    For example, in any given marketing campaign, you have a few marketing tactics.

    Let’s say you’re launching a limited-time product.

    You might have :

    • Paid ads via Facebook and Instagram
    • A blog post sharing how the product works
    • Organic social media posts on Instagram and TikTok
    • Email waitlist campaign building excitement around the upcoming product
    • SMS campaigns to share a limited-time discount

    So, when the time comes for the sale launch, and you generate $30,000 in revenue, what channel gets the credit ?

    Do you give credit to the paid ads on Facebook ? What about Instagram ? They got people to follow you and got them on the email waitlist.

    Do you give credit to email for reminding people of the upcoming sale ? What about your social media posts that reminded people there ?

    Or do you credit your SMS campaign that shared a limited-time discount ?

    Which channel is responsible for the sale ?

    This is what attribution is all about.

    It’s about giving credit where credit is due.

    The reason you want to attribute credit ? So you know what’s working and can double down your efforts on the high-impact marketing activities and channels.

    Leveraging incrementality and attribution together

    Incrementality and attribution aren’t competing methods of analysing what’s working.

    They’re complementary to one another and go hand in hand.

    You can (and should) use attribution and incrementality in your marketing to help understand what activities, campaigns and channels are making the biggest incremental impact on your business growth.

    Why it’s important to measure incrementality

    Incrementality is crucial to measure if you want to pour your time, money and effort into the right marketing channels and tactics.

    Here are a few reasons why you need to measure incrementality if you want to be successful with your marketing and grow your business :

    1. Accurate data

    If you want to be an effective marketer, you need to be accurate.

    You can’t blindly start marketing campaigns in hopes that you will sell many products or services.

    That’s not how it works.

    Sure, you’ll probably make some sales here and there. But to truly be effective with your work, you must measure your activities and channels correctly.

    Incrementality helps you see how each channel, tactic or campaign made a difference in your marketing.

    Matomo gives you 100% accurate data on your website activities. Unlike Google Analytics, we don’t use data sampling which limits how much data is analysed.

    Screenshot example of the Matomo dashboard

    2. Helps you to best determine the right tactics for success

    How can you plan your marketing strategy if you don’t know what’s working ?

    Think about it.

    You’ll be blindly sailing the seas without a compass telling you where to go.

    Measuring incrementality in your marketing tactics and channels helps you understand the best tactics.

    It shows you what’s moving the needle (and what’s not).

    Once you can see the most impactful tactics and channels, you can forge future campaigns that you know will work.

    3. Allows you to get the most out of your marketing budget

    Since incrementality sheds light on what’s moving your business forward, you can confidently implement your efforts on the right tactics and channels.

    Guess what happens when you start doubling down on the most impactful activities ?

    You start increasing revenue, decreasing ad spend and getting a higher return on investment.

    The result is that you will get more out of your marketing budget.

    Not only will you boost revenue, but you’ll also be able to boost profit margins since you’re not wasting money on ineffective tactics.

    4. Increase traffic

    When you see what’s truly working in your business, you can figure out what channels and tactics you should be working.

    Incrementality helps you understand not only what your best revenue tactics are but also what channels and campaigns are bringing in the most traffic.

    When you can increase traffic, you can increase your overall marketing impact.

    5. Increase revenue

    Finally, with increased traffic, the inevitable result is more conversions.

    More conversions mean more revenue.

    Incrementality gives you a vision of the tactics and channels that are converting the best.

    If you can see that your SMS campaigns are driving the best ROI, then you know that you’ll grow your revenue by pouring more into acquiring SMS leads.

    By calculating incrementality regularly, you can rest assured that you’re only investing time and money into the most impactful activities in terms of revenue generation.

    How to calculate and test incrementality in marketing

    Now that you understand how incrementality works and why it’s important to calculate, the question is : 

    How do you calculate and conduct incrementality tests ?

    Given the ever-changing marketing landscape, it’s crucial to understand how to calculate and test incrementally in your business.

    If you’re not sure how incrementality testing works, then follow these simple steps :

    How to test and analyze incrementality in marketing?

    Your first step to get an incrementality measurement is to conduct what’s referred to as a “holdout test.”

    It’s not a robust test, but it’s an easy way to get the ball rolling with incrementality.

    Here’s how it works :

    1. Choose your target audience.

    With Matomo’s segmentation feature, you can get pretty specific with your target audience, such as :

      • Visitors from the UK
      • Returning visitors
      • Mobile users
      • Visitors who clicked on a specific ad
    1. Split your audience into two groups :
      • Control group (60% of the segment)
      • Test group (40% of the segment)
    1. Target the control group with your marketing tactic (the simpler the tactic, the better).
    1. Target the test group with a different marketing tactic.
    1. Analyse the results. The difference between the control and test groups is the incremental lift in results. The new marketing tactic is either more effective or not.
    1. Repeat the test with a new control group (with an updated tactic) and a new test group (with a new tactic).

    Matomo can help you analyse the results of your campaigns in our Goals feature. Set up business objectives so you can easily track different goals like conversions.

    Try Matomo for Free

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

    No credit card required

    Here’s an example of how this incrementality testing could look in real life.

    Imagine a fitness retailer wants to start showing Facebook ads in their marketing mix.

    The marketing manager decided to conduct a holdout test. If we match our example below with the steps above, this is how the holdout test might look.

    1. They choose people who’ve purchased free weights in the past as their target audience (see how that segmentation works ?).
    2. They split this segment into a control group and a test group.
    3. For this test, they direct their regular marketing campaign to the control group (60% of the segment). The campaign includes promoting a 20% off sale on organic social media posts, email marketing, and SMS.
    4. They direct their regular marketing campaign plus Facebook ads to the test group (40% of the segment).
    5. They ran the campaign for three weeks with the goal for sale conversions and noticed :
      • The control group had a 1.5% conversion rate.
      • The test group (with Facebook ads) had a 2.1% conversion rate.
      • In this scenario, they could see the group who saw the Facebook ads convert better.
      • They created the following formula to measure the incremental lift of the Facebook ads :
    Calculation: Incrementality in marketing.
      • Here’s how the calculation works out : (2.1% – 1.5%) / 1.5% = 40%

    The Facebook ads had a positive 40% incremental lift in conversions during the sale.

    Incrementality testing isn’t a one-and-done process, though.

    While this first test is a great sign for the marketing manager, it doesn’t mean they should immediately throw all their money into Facebook ads.

    They should continue conducting tests to verify the initial test.

    Use Matomo to track incrementality today

    Incrementality can give you insights into exactly what’s working in your marketing (and what’s not) so you can design proven strategies to grow your business.

    If you want more help tracking your marketing efforts, try Matomo today.

    Our web analytics and behaviour analytics platform gives you firsthand data on your website visitors you can use to craft effective marketing strategies.

    Matomo provides 100% accurate data. Unlike other major web analytics platforms, we don’t do data sampling. What you see is what’s really going on in your website. That way, you can make more informed decisions for better results.

    At Matomo, we take privacy very seriously and include several advanced privacy protections to ensure you are in full control.

    As a fully compliant web analytics solution, we’re fully compliant with some of the world’s strictest privacy regulations like GDPR. With Matomo, you get peace of mind knowing you can make data-driven decisions while also being compliant. 

    If you’re ready to launch a data-driven marketing strategy today and grow your business, get started with our 21-day free trial now. No credit card required.