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Autres articles (21)

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    9 février 2011, par

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    31 janvier 2010, par

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  • Contribute to a better visual interface

    13 avril 2011

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Sur d’autres sites (2778)

  • Exceeded GA’s 10M hits data limit, now what ?

    1er décembre 2021, par Joselyn Khor

    Exceeded Google Analytics’ 10M hits data limit, now what ?

    “Your data volume (1XXM hits) exceeds the limit of 10M hits per month as outlined in our Terms of Service. If you continue to exceed the limit, we will stop processing new data on XXX 21, 2019. Learn more about possible solutions.”

    Yikes. Alarm bells were ringing when a Google Analytics free user came to us faced with this notice. Let’s call him ‘Mark’. Mark had reached the limits on the data he could collect through Google Analytics and was shocked by the limited options available to fix the problem, without blowing the budget. The thoughts racing through his head were :

    • “What happens to all my data ?”
    • “What if Google starts charging USD150K now ?”

    Then he came across Matomo and decided to get in touch with our support team …

    “Can you fix this issue ?” he asked us.

    “Absolutely !” we said.

    We’ll get back to helping Mark in a minute. For now let’s go over why this was such a dilemma for him.

    In order to resolve this data limits issue, one of the solutions was for him to upgrade to Google Analytics 360, which meant shelling out USD150,000 per year for their 1 billion hits per month option. Going from free to USD150,000 was too much of a stretch for a growing company.

    “Your data volume (1XXM hits) exceeds the limit of 10M hits per month …”, what did this message mean ?

    With the free version, Mark could collect up to 10 million “hits” per month, per account. Going over meant Google Analytics could stop collecting any more data for free as outlined in their Terms.

    Google Analytics’ Terms of Service (2018, sec. 2) states, “Subject to Section 15, the Service is provided without charge to You for up to 10 million Hits per month per account.”[1]

    What is a "hit" in Google Analytics ?

    Data being sent to Google Analytics. It can be a transaction, event, social interaction or pageview - these all produce what Google calls a “hit”.

    Google Analytics data limits
    Google Analytics Terms of Service

    And their Analytics Help Data Limits (n.d.) support page makes clear that : “If a property sends more hits per month to Analytics than allowed by the Analytics Terms of Service, there is no assurance that the excess hits will be processed. If the property’s hit volume exceeds this limit, a warning may be displayed in the user interface and you may be prevented from accessing reports.”[2]

    Google Analytics data collection limit
    Google Analytics’ data limits support page

    Possible solutions

    So the possible solutions given by Google Analytics’ Data Limits support page were (also shown in image below) :

    • To pay USD150K to upgrade to Google Analytics 360
    • To send fewer hits by setting up sampling
    • Or choose the slightly less relevant option to upgrade mobile app tracking to Google Analytics for Firebase.

    Without the means to pay, the free version was fast becoming inaccessible for Mark as he was facing a future where he risked no longer having access to up-to-date data used in his business’ reporting.

    Mark was facing a problem that potentially didn’t have a cost-effective solution.

    Google Analytics data limits
    Google Analytics’ data limits support page

    So what can you really do about it ?

    This is where we can help provide some assistance. If you’re reading this article, we’ll assume you can relate to Mark and share with you the advice on options we gave him.

    Options :

    One option posed by Google is for you to send fewer hits by auditing your data collection processes

    If you really don’t have the budget, you’ll need to reassess your data collection priorities and go over your strategies to see what is necessary to track, and what isn’t.

    • Make sure you know what you’re tracking and why. Look at what websites are being tracked by Google and into what properties.
    • Go through what data you’re tracking and decide what is or isn’t of value.
    • Set up data sampling, this however, will lead to inaccurate data.

    From here you can start to course correct. If you’ve found data you’re not using for analysis, get rid of these events/pageviews in your Google Analytics.

    But the limitations here are that eventually, you’re going to run out of irrelevant metrics and everything you’re tracking will be essential. So you’ll hit another brick wall and return to the same situation.

    Option 2 Ignore and continue using the free version of Google Analytics

    With this option, you’ll have to bear the business risks involved by basing decisions off of analytics reports that may or may not be updated. In this case, you may still get contacted about exceeding the limits. As the free service is provided for only up to 10 million hits, once you’ve gone over them, you’re violating what’s stipulated in the Terms of Service. 

    There’s also the warning that “… you may be prevented from accessing reports” (Data limits, n.d.). So while we may not know for certain what Google Analytics will do, in this case it may be better to be safe rather than sorry by acting quickly to resolve it. 

    Option 3 -The Matomo solution – a privacy-friendly Google Analytics alternative

    Upgrade to a web analytics platform that can handle your demanding data requirements. Save money while continuing to gain valuable insights by moving over to Matomo Analytics (recommended)

    This is where you can save up to USD130,000 a year. As well as that, the transition from Google Analytics to the Matomo Cloud is a seamless experience as setup and maintenance is taken care of by our experts.

    For example, you can get up to 25M hits for USD3,241/month (or USD38,900/year) on the Essentials plan.

    Or even 25M hits for USD4,991/month (or USD59,900/year) on the Business plan – which offers additional web analytics and conversion optimization resources.

    Matomo Cloud is a great option if you’re looking for a secure, cost-effective and powerful analytics solution. You also get what Google Analytics could never offer you : full control and ownership of your own data and privacy. 

    Try Matomo free for 21 days – no credit card required.

    No need to worry about losing your Google Analytics data because …

    Now you can import your historic Google Analytics data directly into your Matomo with the Google Analytics Importer tool. Simply follow the step-by-step guide to get started for free.

    Along with savings you can get :

    • A solution for the data limits issue forever. You choose the right plan to suit your data needs and adapt as you continue growing
    • 100% accurate data (no data sampling)
    • 100% data ownership of all your information without signing away your data to a third party
    • Powerful web analytics and conversion optimization features
    • Matomo Tag Manager
    • Easy setup
    • Support from Matomo’s specialists

    Learn more about Matomo Cloud pricing.

    Or go for Matomo On-Premise

    If you have the in-house infrastructure to support self-hosting Matomo on your own servers then there’s also the option of Matomo On-Premise. Here you’ll get full security knowing the data is on your own servers. 

    Setup will also require technical knowledge. There will also be costs associated with acquiring your own servers, and keeping up with regular maintenance and updates. With On-Premise you get maximum flexibility, with no data limits whatsoever. But if you’re coming over from Google Analytics and don’t have the infrastructure and team to host On-Premise, the Matomo Cloud could be right for you.

    Learn more about Matomo On-Premise.

    Where do you go from here ?

    Getting 10 millions hits per month is no small feat, it’s actually pretty fantastic. But if it means having to shell out USD150,000 just to be able to continue with Google Analytics, we feel your problem could be fixed with Matomo Cloud. You could then put the rest of the money you save to better use.

    If you choose Matomo, you now have the option to : 

    • Raise your data limits for a fraction of Google Analytics 360’s price
    • Get a comprehensive range of analytics features for the most impactful insights to ensure your website continues excelling
    • Get data that’s not sampled – meaning 100% accuracy in your reports
    • Migrate your data easily with the help of Matomo’s support team

    We’ll have you covered. 

    By sharing with you the options and advice we gave to Mark, we hope you’ll be able to find a solution that makes your life easier and solves the issue of data restrictions forever.

    The team at Matomo is here to help you every step of the way to ensure a stress-free transition from Google Analytics if that is what works best for you.

    For next steps, check out our live online Matomo demo and start your free 21-day trial.

    References :

    [1] Terms of Service. (2018, July 24). In Google Analytics Terms of Service. Retrieved June 12, 2019, from https://www.google.com/analytics/terms/us.html

    [2] Data limits. (n.d.). In Analytics Help Data limits. Retrieved June 12, 2019, from https://support.google.com/analytics/answer/1070983?hl=en

  • 7 Reasons to Migrate from Google Analytics to Matomo Now

    15 mai 2022, par Erin

    The release of Google Analytics 4 (GA4), and the subsequent depreciation of Universal Analytics, has caused a stir amongst webmasters, SEO experts, marketers and the likes.

    Google’s Universal Analytics is the most widely used web analytics platform in the world, but from 1 July 2023, it will no longer process any new data. Google is now pushing users to set up GA4 tracking imminently.

    If you’re like many and wondering if you should upgrade to Google Analytics 4, there are two key reasons why this might be a risk :

    1. GDPR violations : recent rulings have deemed Google Analytics illegal in France and Austria, and it’s likely that this trend will continue across the EU.
    2. Data loss : users switching to Google Analytics 4 can’t migrate their data from Universal Analytics.

    To mitigate these risks, many organisations are looking to switch to a Google Analytics alternative like Matomo. This is an ideal option for organisations that want to take ownership of their data, get compliant with privacy regulations and save themselves the stress of Google deprecating the software they rely on.

    Whilst there are two major reasons to steer clear of Google Analytics 4, there are 7 reasons why migrating to Matomo instead could save your business time, money and peace of mind.

    If you want to avoid the pitfalls of GA4 and are thinking about migrating from Universal Analytics to Matomo, here’s why you should make the switch now.

    1. Keep your historical Universal Analytics data

    Users switching to Google Analytics 4 will be disappointed to find out that GA4 does not accept data imports from Universal Analytics. On top of that, Google also announced that after Universal Analytics stops processing new data (1 July 2023), users will only be able to access this data for “at least six months”. 

    Years of valuable insights will be completely wiped and organisations will not be able to report on year over year results.

    Fortunately, any organisation using Universal Analytics can import this data into Matomo using our Google Analytics Importer plugin. So you can reduce business disruptions and retain years of valuable web analytics data when you switch to Matomo.

    Our comprehensive migration documentation features a handy video, written guides and FAQs to ensure a smooth migration process.

    2. Ease of use

    Web analytics is complicated enough without having to navigate confusing platform user interfaces (UIs). One of GA4’s biggest drawbacks is the “awful and unusable” interface which has received an overwhelming amount of negative backlash online. 

    Matomo’s intuitive UI contains many of the familiar features that made Universal Analytics so well-liked. You’ll find the same popular features like Visitors, Behaviour, and Acquisition to name a few.

    Behaviour User Flow in Matomo

    User Flow in Matomo

    When you switch to Matomo you can get up to speed quickly and spend more time focusing on high-value tasks, rather than learning about everything new in GA4.

    3. 100% accurate unsampled data

    GA4 implements data sampling and machine learning to fill gaps. Often what you are basing critical business decisions on is actually an estimate of activity. 

    Matomo does not use data sampling, so this guarantees you will always see the full picture.

    “My primary reason to use Matomo is to get the unsampled data, [...] if your website gets lots of traffic and you can’t afford an enterprise level tool like GA premium [GA360] then Matomo is your best choice.”

    Himanshu Sharma, Digital Marketing Consultant & Founder at Optimize Smart.

    With Matomo you can be confident your data-driven decisions are being made with real data.

    4. Privacy by design

    Built-in privacy has always been at the core of Matomo. One key method we use to achieve this, is by giving you 100% data ownership of your web analytics data. You don’t ever have to worry about the data landing in the wrong hands or being used in unethical ways – like unsolicited advertising. 

    On the contrary, Google Analytics is regularly under fire for controversial uses of data. While Google has made changes to make GA4 more privacy-focused, it’s all just smoke and mirrors. The data collected from Google Analytics accounts is used by Google to create digital profiles on internet users, which is then used for advertising. 

    Consumers are becoming increasingly concerned about how businesses are using their data. Businesses that develop privacy strategies, utilise privacy-focused tools will gain a competitive advantage and a loyal customer-base. 

    Prioritise the protection of your user data by switching to a privacy-by-design analytics solution.

    5. Compliance with global privacy laws

    To date, Google Analytics has been deemed illegal to use in France and Austria due to data transfers to the US. Upgrading to GA4 doesn’t make this problem go away either since data is still transferred to the US. 

    Matomo is easily configured to follow even the strictest of privacy laws like GDPR, HIPAA, CCPA, LGPD and PECR. Here’s how :

    Matomo can also be used without cookie consent banners (unlike with Google Analytics, which will always need user consent to track). Matomo has been approved by the French Data Protection Authority (CNIL) as one of the select few web analytics tools that can be used to collect data without tracking consent.

    Every year more countries are drafting legislation that mirrors the European Union’s GDPR (like the Brazilian LGPD). Matomo is designed to stay data-privacy law compliant, and always will be.

    Stay on top of global privacy laws and reduce the time you spend on compliance by switching to a privacy-compliant solution. 

    6. All-in-one web analytics

    Matomo gives you easy access to Heatmaps, Session Recordings, A/B testing, Funnels analytics, and more right out of the box. This means that digital marketing, UX and procurement teams won’t need to set up and manage multiple tools for behavioural analytics – it’s all in one place.

    Learn more about your audience, save money and reduce complexity by switching to an all-in-one analytics solution.

    Check out Matomo’s extensive product features.

    Heatmaps in Matomo

    Page Scroll Depth in Matomo

    7. Tag Manager built-in

    Unlike GA4, the Matomo Tag Manager comes built-in for an efficient and consistent user experience. Matomo Tag Manager offers a pain-free solution for embedding tracking codes on your website without needing help from a web developer or someone with technical knowledge.

    Help your Marketing team track more website actions and give time back to your web developer by switching to Matomo Tag Manager.

    Final Thoughts

    Google Analytics is free to use, but the surrounding legal issues with the platform and implications of switching to GA4 will make migrating a tough choice for many businesses. 

    Now is the chance for organisations to step away from the advertising tech giant, take ownership of web analytics data and get compliant. Switch to the leading Google Analytics alternative and see why over 1 million websites choose Matomo for their web analytics.

    Ready to get started with your own Google Analytics to Matomo migration ? Try Matomo free for 21 days now – no credit card required. 

  • How to install libfaac on Raspberry pi (Raspbian) ?

    1er février 2015, par yuno

    I want to use faac on ffmpeg, so try following.

    $ wget http://downloads.sourceforge.net/faac/faac-1.28.tar.gz
    $ tar zxvf faac-1.28.tar.gz
    $ cd faac-1.28/

    edit mpeg4ip.h reffering ubuntu - Installing FAAC on linux, getting errors - Stack Overflow, and

    $ sudo aptitude install libtool
    $ ./bootstrap && ./configure
    $ make && sudo make install

    finally make succeeded.
    Try to make ffmpeg :

    $ PKG_CONFIG_PATH=/usr/local/lib/pkgconfig;export $PKG_CONFIG_PATH
    $ ./configure --enable-gpl --enable-nonfree --enable-postproc \
    --enable-pthreads --enable-libfaac --enable-libmp3lame \
    --enable-libx264 --enable-libxvid --enable-x11grab --disable-shared \
    --enable-static --disable-decoder=aac
    $ make

    then I get the error :
    ERROR : libfaac not found

    If you think configure made a mistake, make sure you are using the latest
    version from Git.  If the latest version fails, report the problem to the
    libav-user@libav.org mailing list or IRC #libav on irc.freenode.net.
    Include the log file "config.log" produced by configure as this will help
    solving the problem.

    I’m using git 2.2.2, so it doesn’t cause.
    Googled, I understand libfaac.dylib and libfaac.a are needed on /usr/lib, so I conduct

    $ ls /usr/lib | grep faac

    then get

    libfaac.so.0
    libfaac.so.0.0.0

    Hmmmm... make install doesn’t work well ? but /usr/bin/faac exists...
    How can I install libfaac ?