Recherche avancée

Médias (91)

Autres articles (54)

  • Menus personnalisés

    14 novembre 2010, par

    MediaSPIP utilise le plugin Menus pour gérer plusieurs menus configurables pour la navigation.
    Cela permet de laisser aux administrateurs de canaux la possibilité de configurer finement ces menus.
    Menus créés à l’initialisation du site
    Par défaut trois menus sont créés automatiquement à l’initialisation du site : Le menu principal ; Identifiant : barrenav ; Ce menu s’insère en général en haut de la page après le bloc d’entête, son identifiant le rend compatible avec les squelettes basés sur Zpip ; (...)

  • Les vidéos

    21 avril 2011, par

    Comme les documents de type "audio", Mediaspip affiche dans la mesure du possible les vidéos grâce à la balise html5 .
    Un des inconvénients de cette balise est qu’elle n’est pas reconnue correctement par certains navigateurs (Internet Explorer pour ne pas le nommer) et que chaque navigateur ne gère en natif que certains formats de vidéos.
    Son avantage principal quant à lui est de bénéficier de la prise en charge native de vidéos dans les navigateur et donc de se passer de l’utilisation de Flash et (...)

  • (Dés)Activation de fonctionnalités (plugins)

    18 février 2011, par

    Pour gérer l’ajout et la suppression de fonctionnalités supplémentaires (ou plugins), MediaSPIP utilise à partir de la version 0.2 SVP.
    SVP permet l’activation facile de plugins depuis l’espace de configuration de MediaSPIP.
    Pour y accéder, il suffit de se rendre dans l’espace de configuration puis de se rendre sur la page "Gestion des plugins".
    MediaSPIP est fourni par défaut avec l’ensemble des plugins dits "compatibles", ils ont été testés et intégrés afin de fonctionner parfaitement avec chaque (...)

Sur d’autres sites (9208)

  • Clickstream Data : Definition, Use Cases, and More

    15 avril 2024, par Erin

    Gaining a deeper understanding of user behaviour — customers’ different paths, digital footprints, and engagement patterns — is crucial for providing a personalised experience and making informed marketing decisions. 

    In that sense, clickstream data, or a comprehensive record of a user’s online activities, is one of the most valuable sources of actionable insights into users’ behavioural patterns. 

    This article will cover everything marketing teams need to know about clickstream data, from the basic definition and examples to benefits, use cases, and best practices. 

    What is clickstream data ? 

    As a form of web analytics, clickstream data focuses on tracking and analysing a user’s online activity. These digital breadcrumbs offer insights into the websites the user has visited, the pages they viewed, how much time they spent on a page, and where they went next.

    Illustration of collecting and analysing data

    Your clickstream pipeline can be viewed as a “roadmap” that can help you recognise consistent patterns in how users navigate your website. 

    With that said, you won’t be able to learn much by analysing clickstream data collected from one user’s session. However, a proper analysis of large clickstream datasets can provide a wealth of information about consumers’ online behaviours and trends — which marketing teams can use to make informed decisions and optimise their digital marketing strategy. 

    Clickstream data collection can serve numerous purposes, but the main goal remains the same — gaining valuable insights into visitors’ behaviours and online activities to deliver a better user experience and improve conversion likelihood. 

    Depending on the specific events you’re tracking, clickstream data can reveal the following : 

    • How visitors reach your website 
    • The terms they type into the search engine
    • The first page they land on
    • The most popular pages and sections of your website
    • The amount of time they spend on a page 
    • Which elements of the page they interact with, and in what sequence
    • The click path they take 
    • When they convert, cancel, or abandon their cart
    • Where the user goes once they leave your website

    As you can tell, once you start collecting this type of data, you’ll learn quite a bit about the user’s online journey and the different ways they engage with your website — all without including any personal details about your visitors.

    Types of clickstream data 

    While all clickstream data keeps a record of the interactions that occur while the user is navigating a website or a mobile application — or any other digital platform — it can be divided into two types : 

    • Aggregated (web traffic) data provides comprehensive insights into the total number of visits and user interactions on a digital platform — such as your website — within a given timeframe 
    • Unaggregated data is broken up into smaller segments, focusing on an individual user’s online behaviour and website interactions 

    One thing to remember is that to gain valuable insights into user behaviour and uncover sequential patterns, you need a powerful tool and access to full clickstream datasets. Matomo’s Event Tracking can provide a comprehensive view of user interactions on your website or mobile app — everything from clicking a button and completing a form to adding (or removing) products from their cart. 

    On that note, based on the specific events you’re tracking when a user visits your website, clickstream data can include : 

    • Web navigation data : referring URL, visited pages, click path, and exit page
    • User interaction data : mouse movements, click rate, scroll depth, and button clicks
    • Conversion data : form submissions, sign-ups, and transactions 
    • Temporal data : page load time, timestamps, and the date and time of day of the user’s last login 
    • Session data : duration, start, and end times and number of pages viewed per session
    • Error data : 404 errors and network or server response issues 

    Try Matomo for Free

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

    No credit card required

    Clickstream data benefits and use cases 

    Given the actionable insights that clickstream data collection provides, it can serve a wide range of use cases — from identifying behavioural patterns and trends and examining competitors’ performance to helping marketing teams map out customer journeys and improve ROI.

    Example of using clickstream data for marketing ROI

    According to the global Clickstream Analytics Market Report 2024, some key applications of clickstream analytics include click-path optimisation, website and app optimisation, customer analysis, basket analysis, personalisation, and traffic analysis. 

    The behavioural patterns and user preferences revealed by clickstream analytics data can have many applications — we’ve outlined the prominent use cases below. 

    Customer journey mapping 

    Clickstream data allows you to analyse the e-commerce customer’s online journey and provides insights into how they navigate your website. With such a comprehensive view of their click path, it becomes easier to understand user behaviour at each stage — from initial awareness to conversion — identify the most effective touchpoints and fine-tune that journey to improve their conversion likelihood. 

    Identifying customer trends 

    Clickstream data analytics can also help you identify trends and behavioural patterns — the most common sequences and similarities in how users reached your website and interacted with it — especially when you can access data from many website visitors. 

    Think about it — there are many ways in which you can use these insights into the sequence of clicks and interactions and recurring patterns to your team’s advantage. 

    Here’s an example : 

    It can reveal that some pieces of content and CTAs are performing well in encouraging visitors to take action — which shows how you should optimise other pages and what you should strive to create in the future, too. 

    Preventing site abandonment 

    Cart abandonment remains a serious issue for online retailers : 

    According to a recent report, the global cart abandonment rate in the fourth quarter of 2023 was at 83%. 

    That means that roughly eight out of ten e-commerce customers will abandon their shopping carts — most commonly due to additional costs, slow website loading times and the requirement to create an account before purchasing. 

    In addition to cart abandonment predictions, clickstream data analytics can reveal the pages where most visitors tend to leave your website. These drop-off points are clear indicators that something’s not working as it should — and once you can pinpoint them, you’ll be able to address the issue and increase conversion likelihood.

    Improving marketing campaign ROI 

    As previously mentioned, clickstream data analysis provides insights into the customer journey. Still, you may not realise that you can also use this data to keep track of your marketing effectiveness

    Global digital ad spending continues to grow — and is expected to reach $836 billion by 2026. It’s easy to see why relying on accurate data is crucial when deciding which marketing channels to invest in. 

    You want to ensure you’re allocating your digital marketing and advertising budget to the channels — be it SEO, pay-per-click (PPC) ads, or social media campaigns — that impact driving conversions. 

    When you combine clickstream e-commerce data with conversion rates, you’ll find the latter in Matomo’s goal reports and have a solid, data-driven foundation for making better marketing decisions.

    Try Matomo for Free

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

    No credit card required

    Delivering a better user experience (UX) 

    Clickstream data analysis allows you to identify specific “pain points” — areas of the website that are difficult to use and may cause customer frustration. 

    It’s clear how this would be beneficial to your business : 

    Once you’ve identified these pain points, you can make the necessary changes to your website’s layout and address any technical issues that users might face, improving usability and delivering a smoother experience to potential customers. 

    Collecting clickstream data : Tools and legal implications 

    Your team will need a powerful tool capable of handling clickstream analytics to reap the benefits we’ve discussed previously. But at the same time, you need to respect users’ online privacy throughout clickstream data collection.

    Illustration of user’s data protection and online security

    Generally speaking, there are two ways to collect data about users’ online activity — web analytics tools and server log files.

    Web analytics tools are the more commonly used solution. Specifically designed to collect and analyse website data, these tools rely on JavaScript tags that run in the browser, providing actionable insights about user behaviour. Server log files can be a gold mine of data, too — but that data is raw and unfiltered, making it much more challenging to interpret and analyse. 

    That brings us to one of the major clickstream challenges to keep in mind as you move forward — compliance.

    While Google remains a dominant player in the web analytics market, there’s one area where Matomo has a significant advantage — user privacy. 

    Matomo operates according to privacy laws — including the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA), making it an ethical alternative to Google Analytics. 

    It should go without saying, but compliance with data privacy laws — the most talked-about one being the GDPR framework introduced by the EU — isn’t something you can afford to overlook. 

    The GDPR was first implemented in the EU in 2018. Since then, several fines have been issued for non-compliance — including the record fine of €1.2 billion that Meta Platforms, Inc. received in 2023 for transferring personal data of EU-based users to the US.

    Clickstream analytics data best practices 

    Illustration of collecting, analysing and presenting data

    As valuable as it might be, processing large amounts of clickstream analytics data can be a complex — and, at times, overwhelming — process. 

    Here are some best practices to keep in mind when it comes to clickstream analysis : 

    Define your goals 

    It’s essential to take the time to define your goals and objectives. 

    Once you have a clear idea of what you want to learn from a given clickstream dataset and the outcomes you hope to see, it’ll be easier to narrow down your scope — rather than trying to tackle everything at once — before moving further down the clickstream pipeline. 

    Here are a few examples of goals and objectives you can set for clickstream analysis : 

    • Understanding and predicting users’ behavioural patterns 
    • Optimising marketing campaigns and ROI 
    • Attributing conversions to specific marketing touchpoints and channels

    Analyse your data 

    Collecting clickstream analytics data is only part of the equation ; what you do with raw data and how you analyse it matters. You can have the most comprehensive dataset at your disposal — but it’ll be practically worthless if you don’t have the skill set to analyse and interpret it. 

    In short, this is the stage of your clickstream pipeline where you uncover common sequences and consistent patterns in user behaviour. 

    Clickstream data analytics can extract actionable insights from large datasets using various approaches, models, and techniques. 

    Here are a few examples : 

    • If you’re working with clickstream e-commerce data, you should perform funnel or conversion analyses to track conversion rates as users move through your sales funnel. 
    • If you want to group and analyse users based on shared characteristics, you can use Matomo for cohort analysis
    • If your goal is to predict future trends and outcomes — conversion and cart abandonment prediction, for example — based on available data, prioritise predictive analytics.

    Try Matomo for Free

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

    No credit card required

    Organise and visualise your data

    As you reach the end of your clickstream pipeline, you need to start thinking about how you will present and communicate your data. And what better way to do that than to transform that data into easy-to-understand visualisations ? 

    Here are a few examples of easily digestible formats that facilitate quick decision-making : 

    • User journey maps, which illustrate the exact sequence of interactions and user flow through your website 
    • Heatmaps, which serve as graphical — and typically colour-coded — representations of a website visitor’s activity 
    • Funnel analysis, which are broader at the top but get increasingly narrower towards the bottom as users flow through and drop off at different stages of the pipeline 

    Collect clickstream data with Matomo 

    Clickstream data is hard to beat when tracking the website visitor’s journey — from first to last interaction — and understanding user behaviour. By providing real-time insights, your clickstream pipeline can help you see the big picture, stay ahead of the curve and make informed decisions about your marketing efforts. 

    Matomo accurate data and compliance with GDPR and other data privacy regulations — it’s an all-in-one, ethical platform that can meet all your web analytics needs. That’s why over 1 million websites use Matomo for their web analytics.

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

  • Server Move For multimedia.cx

    1er août 2014, par Multimedia Mike — General

    I made a big change to multimedia.cx last week : I moved hosting from a shared web hosting plan that I had been using for 10 years to a dedicated virtual private server (VPS). In short, I now have no one to blame but myself for any server problems I experience from here on out.

    The tipping point occurred a few months ago when my game music search engine kept breaking regardless of what technology I was using. First, I had an admittedly odd C-based CGI solution which broke due to mysterious binary compatibility issues, the sort that are bound to occur when trying to make a Linux binary run on heterogeneous distributions. The second solution was an SQLite-based solution. Like the first solution, this worked great until it didn’t work anymore. Something else mysteriously broke vis-à-vis PHP and SQLite on my server. I started investigating a MySQL-based full text search solution but couldn’t make it work, and decided that I shouldn’t have to either.

    Ironically, just before I finished this entire move operation, I noticed that my SQLite-based FTS solution was working again on the old shared host. I’m not sure when that problem went away. No matter, I had already thrown the switch.

    How Hard Could It Be ?
    We all have thresholds for the type of chores we’re willing to put up with and which we’d rather pay someone else to perform. For the past 10 years, I felt that administering a website’s underlying software is something that I would rather pay someone else to worry about. To be fair, 10 years ago, I don’t think VPSs were a thing, or at least a viable thing in the consumer space, and I wouldn’t have been competent enough to properly administer one. Though I would have been a full-time Linux user for 5 years at that point, I was still the type to build all of my own packages from source (I may have still been running Linux From Scratch 10 years ago) which might not be the most tractable solution for server stability.

    These days, VPSs are a much more affordable option (easily competitive with shared web hosting). I also realized I know exactly how to install and configure all the software that runs the main components of the various multimedia.cx sites, having done it on local setups just to ensure that my automated backups would actually be useful in the event of catastrophe.

    All I needed was the will to do it.

    The Switchover Process
    Here’s the rough plan :

    • Investigate options for both VPS providers and mail hosts– I might be willing to run a web server but NOT a mail server
    • Start plotting several months in advance of my yearly shared hosting renewal date
    • Screw around for several months, playing video games and generally finding reasons to put off the move
    • Panic when realizing there are only a few days left before the yearly renewal comes due

    So that’s the planning phase. BTW, I chose Digital Ocean for VPS and Zoho for email hosting. Here’s the execution phase I did last week :

    • Register with Digital Ocean and set up DNS entries to point to the old shared host for the time being
    • Once the D-O DNS servers respond correctly using a manual ‘dig’ command, use their servers as the authoritative ones for multimedia.cx
    • Create a new Droplet (D-O VPS), install all the right software, move the databases, upload the files ; and exhaustively document each step, gotcha, and pitfall ; treat a VPS as necessarily disposable and have an eye towards iterating the process with a new VPS
    • Use /etc/hosts on a local machine to point DNS to the new server and verify that each site is working correctly
    • After everything looks all right, update the DNS records to point to the new server

    Finally, flip the switch on the MX record by pointing it to the new email provider.

    Improvements and Problems
    Hosting on Digital Ocean is quite amazing so far. Maybe it’s the SSDs. Whatever it is, all the sites are performing far better than on the old shared web host. People who edit the MultimediaWiki report that changes get saved in less than the 10 or so seconds required on the old server.

    Again, all problems are now my problems. A sore spot with the shared web host was general poor performance. The hosting company would sometimes complain that my sites were using too much CPU. I would have loved to try to optimize things. However, the cPanel interface found on many shared hosts don’t give you a great deal of data for debugging performance problems. However, same sites, same software, same load on the VPS is considerably more performant.

    Problem : I’ve already had the MySQL database die due to a spike in usage. I had to manually restart it. I was considering a cron-based solution to check if the server is running and restart it if not. In response to my analysis that my databases are mostly read and not often modified, so db crashes shouldn’t be too disastrous, a friend helpfully reminded me that, “You would not make a good sysadmin with attitudes like ‘an occasional crash is okay’.”

    To this end, I am planning to migrate the database server to a separate VPS. This is a strategy that even Digital Ocean recommends. I’m hoping that the MySQL server isn’t subject to such memory spikes, but I’ll continue to monitor it after I set it up.

    Overall, the server continues to get modest amounts of traffic. I predict it will remain that way unless Dark Shikari resurrects the x264dev blog. The biggest spike that multimedia.cx ever saw was when Steve Jobs linked to this WebM post.

    Dropped Sites
    There are a bunch of subdomains I dropped because I hadn’t done anything with them for years and I doubt anyone will notice they’re gone. One notable section that I decided to drop is the samples.mplayerhq.hu archive. It will live on, but it will be hosted by samples.ffmpeg.org, which had a full mirror anyway. The lower-end VPS instances don’t have the 53 GB necessary.

    Going Forward
    Here’s to another 10 years of multimedia.cx, even if multimedia isn’t as exciting as it was 10 years ago (personal opinion ; I’ll have another post on this later). But at least I can get working on some other projects now that this is done. For the past 4 months or so, whenever I think of doing some other project, I always remembered that this server move took priority over everything else.

  • OCPA, FDBR and TDPSA – What you need to know about the US’s new privacy laws

    22 juillet 2024, par Daniel Crough

    On July 1, 2024, new privacy laws took effect in Florida, Oregon, and Texas. People in these states now have more control over their personal data, signaling a shift in privacy policy in the United States. Here’s what you need to know about these laws and how privacy-focused analytics can help your business stay compliant.

    Consumer rights are front and centre across all three laws

    The Florida Digital Bill of Rights (FDBR), Oregon Consumer Privacy Act (OCPA), and Texas Data Privacy and Security Act (TDPSA) grant consumers similar rights.

    Access : Consumers can access their personal data held by businesses.

    Correction : Consumers can correct inaccurate data.

    Deletion : Consumers may request data deletion.

    Opt-Out : Consumers can opt-out of the sale of their personal data and targeted advertising.

    Oregon Consumer Privacy Act (OCPA)

    The Oregon Consumer Privacy Act (OCPA), signed into law on June 23, 2023, and effective as of July 1, 2024, grants Oregonians new rights regarding their personal data and imposes obligations on businesses. Starting July 1, 2025, authorities will enforce provisions that require data protection assessments, and businesses must recognize universal opt-out mechanisms by January 1, 2026. In Oregon, the OCPA applies to business that :

    • Either conduct business in Oregon or offer products and services to Oregon residents

    • Control or process the personal data of 100,000 consumers or more, or

    • Control or process the data of 25,000 or more consumers while receiving over 25% of their gross revenues from selling personal data.

    Exemptions include public bodies like state and local governments, financial institutions, and insurers that operate under specific financial regulations. The law also excludes protected health information covered by HIPAA and other specific federal regulations.

    Business obligations

    Data Protection Assessments : Businesses must conduct data protection assessments for high-risk processing activities, such as those involving sensitive data or targeting children.

    Consent for Sensitive Data : Businesses must secure explicit consent before collecting, processing, or selling sensitive personal data, such as racial or ethnic origin, religious beliefs, health information, biometric data, and geolocation.

    Universal Opt-out : Starting January 1, 2025, businesses must acknowledge universal opt-out mechanisms, like the Global Privacy Control, that allow consumers to opt out of data collection and processing activities.

    Enforcement

    The Oregon Attorney General can issue fines up to $7,500 per violation. There is no private right of action.

    Unique characteristics of the OCPA

    The OCPA differs from other state privacy laws by requiring affirmative opt-in consent for processing sensitive and children’s data, and by including nonprofit organisations under its scope. It also requires global browser opt-out mechanisms starting in 2026.

    Florida Digital Bill of Rights (FDBR)

    The Florida Digital Bill of Rights (FDBR) became law on June 6, 2023, and it came into effect on July 1, 2024. This law targets businesses with substantial operations or revenues tied to digital activities and seeks to protect the personal data of Florida residents by granting them greater control over their information and imposing stricter obligations on businesses. It applies to entities that :

    • Conduct business in Florida or provide products or services targeting Florida residents,

    • Have annual global gross revenues exceeding $1 billion,

    • Receive 50% or more of their revenues from digital advertising or operate significant digital platforms such as app stores or smart speakers with virtual assistants.

    Exemptions include governmental entities, nonprofits, financial institutions covered by the Gramm-Leach-Bliley Act, and entities covered by HIPAA.

    Business obligations

    Data Security Measures : Companies are required to implement reasonable data security measures to protect personal data from unauthorised access and breaches.

    Handling Sensitive Data : Explicit consent is required for processing sensitive data, which includes information like racial or ethnic origin, religious beliefs, and biometric data.

    Non-Discrimination : Entities must ensure they do not discriminate against consumers who exercise their privacy rights.

    Data Minimisation : Businesses must collect only necessary data.

    Vendor Management : Businesses must ensure that their processors and vendors also comply with the FDBR, regarding the secure handling and processing of personal data.

    Enforcement

    The Florida Attorney General can impose fines of up to $50,000 per violation, with higher penalties for intentional breaches.

    Unique characteristics of the FDBR

    Unlike broader privacy laws such as the California Consumer Privacy Act (CCPA), which apply to a wider range of businesses based on lower revenue thresholds and the volume of data processed, the FDBR distinguishes itself by targeting large-scale businesses with substantial revenues from digital advertising. The FDBR also emphasises specific consumer rights related to modern digital interactions, reflecting the evolving landscape of online privacy concerns.

    Texas Data Privacy and Security Act (TDPSA)

    The Texas Data Privacy and Security Act (TDPSA), signed into law on June 16, 2023, and effective as of July 1, 2024, enhances data protection for Texas residents. The TDPSA applies to entities that :

    • Conduct business in Texas or offer products or services to Texas residents.

    • Engage in processing or selling personal data.

    • Do not fall under the classification of small businesses according to the U.S. Small Business Administration’s criteria, which usually involve employee numbers or average annual receipts. 

    The law excludes state agencies, political subdivisions, financial institutions compliant with the Gramm-Leach-Bliley Act, and entities compliant with HIPAA.

    Business obligations

    Data Protection Assessments : Businesses must conduct data protection assessments for processing activities that pose a heightened risk of harm to consumers, such as processing for targeted advertising, selling personal data, or profiling.

    Consent for Sensitive Data : Businesses must get explicit consent before collecting, processing, or selling sensitive personal data, such as racial or ethnic origin, religious beliefs, health information, biometric data, and geolocation.

    Companies must have adequate data security practices based on the personal information they handle.

    Data Subject Access Requests (DSARs) : Businesses must respond to consumer requests regarding their personal data (e.g., access, correction, deletion) without undue delay, but no later than 45 days after receipt of the request.

    Sale of Data : If businesses sell personal data, they must disclose these practices to consumers and provide them with an option to opt out.

    Universal Opt-Out Compliance : Starting January 1, 2025, businesses must recognise universal opt-out mechanisms like the Global Privacy Control, enabling consumers to opt out of data collection and processing activities.

    Enforcement

    The Texas Attorney General can impose fines up to $25,000 per violation. There is no private right of action.

    Unique characteristics of the TDPSA

    The TDPSA stands out for its small business carve-out, lack of specific thresholds based on revenue or data volume, and requirements for recognising universal opt-out mechanisms starting in 2025. It also mandates consent for processing sensitive data and includes specific measures for data protection assessments and privacy notices.

    Try Matomo for Free

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

    No credit card required

    Privacy notices across Florida, Oregon, and Texas

    All three laws include a mandate for privacy notices, though there are subtle variations in their specific requirements. Here’s a breakdown of these differences :

    FDBR privacy notice requirements

    Clarity : Privacy notices must clearly explain the collection and use of personal data.

    Disclosure : Notices must inform consumers about their rights, including the right to access, correct, delete their data, and opt-out of data sales and targeted advertising.

    Specificity : Businesses must disclose if they sell personal data or use it for targeted advertising.

    Security Practices : The notice should describe the data security measures in place.

    OCPA privacy notice requirements

    Comprehensive Information : Notices must provide information about the personal data collected, the purposes for processing, and any third parties that can access it.

    Consumer Rights : Must plainly outline consumers’ rights to access, correct, delete their data, and opt-out of data sales, targeted advertising, and profiling.

    Sensitive Data : To process sensitive data, businesses or entities must get explicit consent and communicate it.

    Universal Opt-Out : Starting January 1, 2026, businesses must recognise and honour universal opt-out mechanisms.

    TDPSA privacy notice requirements

    Detailed Notices : Must provide clear and detailed information about data collection practices, including the data collected and the purposes for its use.

    Consumer Rights : Must inform consumers of their rights to access, correct, delete their data, and opt-out of data sales and targeted advertising.

    High-Risk Processing : Notices should include information about any high-risk processing activities and the safeguards in place.

    Sensitive Data : To process sensitive data, entities and businesses must get explicit consent.

    What these laws mean for your businesses

    Businesses operating in Florida, Oregon, and Texas must now comply with these new data privacy laws. Here’s what you can do to avoid fines :

    1. Understand the Laws : Familiarise yourself with the specific requirements of the FDBR, OCPA, and TDPSA, including consumer rights and business obligations.

    1. Implement Data Protection Measures : Ensure you have robust data security measures in place. This includes conducting regular data protection assessments, especially for high-risk processing activities.

    1. Update Privacy Policies : Provide clear and comprehensive privacy notices that inform consumers about their rights and how their data is processed.

    1. Obtain Explicit Consent : For sensitive data, make sure you get explicit consent from consumers. This includes information like health, race, sexual orientation, and more.

    1. Manage Requests Efficiently : Be prepared to handle requests from consumers to access, correct, delete their data, and opt-out of data sales and targeted advertising within the stipulated timeframes.

    1. Recognise Opt-Out Mechanisms : For Oregon, businesses must be ready to implement and recognise universal opt-out mechanisms by January 1, 2026. In Texas, opt-out enforcement begins in 2026. In Florida, the specific opt-out provisions began on July 1, 2024.

    1. Stay Updated : Keep abreast of any changes or updates to these laws to ensure ongoing compliance. Keep an eye on the Matomo blog or sign up for our newsletter to stay in the know.

    Are we headed towards a more privacy-focused future in the United States ?

    Florida, Oregon, and Texas are joining states like California, Virginia, Colorado, Connecticut, Utah, Iowa, Indiana, Tennessee, and Montana in strengthening consumer privacy protections. This trend could signify a shift in US policy towards a more privacy-focused internet, underlining the importance of consumer data rights and transparent business practices. Even if these laws do not apply to your business, considering updates to your data and privacy policies is wise. Fortunately, there are tools and solutions designed for privacy and compliance to help you navigate these changes.

    Avoid fines and get better data with Matomo

    Most analytics tools don’t prioritize safeguarding user data. At Matomo, we believe everyone has the right to data sovereignty, privacy and amazing analytics. Matomo offers a solution that meets privacy regulations while delivering incredible insights. With Matomo, you get :

    100% Data Ownership : Keep full control over your data, ensuring it is used according to your privacy policies.

    Privacy Protection : Built with privacy in mind, Matomo helps businesses comply with privacy laws.

    Powerful Features : Gain insights with tools like heatmaps, session recordings, and A/B testing.

    Open Source : Matomo’s is open-source and committed to transparency and customisation.

    Flexibility : Choose to host Matomo on your servers or in the cloud for added security.

    No Data Sampling : Ensure accurate and complete insights without data sampling.

    Privacy Compliance : Easily meet GDPR and other requirements, with data stored securely and never sold or shared.

    Disclaimer : This content is provided for informational purposes only and is not intended as legal advice. While we strive to ensure the accuracy and timeliness of the information provided, the laws and regulations surrounding privacy are complex and subject to change. We recommend consulting with a qualified legal professional to address specific legal issues related to your circumstances.