Recherche avancée

Sur d’autres sites (3645)

• Installing full multimedia stack on server (ffmpeg,mp4box,sox,mplayer)

  29 avril 2015, par hdezela

  I’ve had a trusty text file with all(?) the steps I need to set up a full multimedia stack on a RHEL compatible server (CentOS, AWS Linux, etc.) for a few years now. However, sometimes some things are missing and I need to revise it. I know it is not complete so I’m asking for suggestions/modifications in order to get a good - and public - list of how to install all this stuff easily.

  Ideally, I want to be able to run through the file and end up with a system that’ll take any media file and be able to convert/encode/decode/whatever with it.

  This is what I have :

  yum install mesa-libGL-devel mesa-libGLU-devel libXi-devel libXmu-devel freeglut-devel freeglut ncurses-devel
  
  cd /usr/local/src
  
  mkdir /usr/local/src/tmp
  
  chmod 777 /usr/local/src/tmp
  
  export TMPDIR=/usr/local/src/tmp
  
  
  
  wget http://www.tortall.net/projects/yasm/releases/yasm-1.3.0.tar.gz
  
  wget http://downloads.xiph.org/releases/ogg/libogg-1.3.2.tar.gz
  
  wget http://downloads.xiph.org/releases/vorbis/libvorbis-1.3.4.tar.gz
  
  wget http://downloads.xiph.org/releases/theora/libtheora-1.1.1.tar.gz
  
  wget ftp://ftp.videolan.org/pub/videolan/x264/snapshots/last_stable_x264.tar.bz2
  
  wget http://downloads.sourceforge.net/project/opencore-amr/opencore-amr/opencore-amr-0.1.3.tar.gz
  
  wget http://downloads.sourceforge.net/faac/faac-1.28.tar.gz
  
  wget http://downloads.sourceforge.net/project/lame/lame/3.99/lame-3.99.5.tar.gz
  
  wget http://webm.googlecode.com/files/libvpx-v1.3.0.zip
  
  wget http://downloads.sourceforge.net/project/yamdi/yamdi/1.9/yamdi-1.9.tar.gz
  
  wget http://rtmpdump.mplayerhq.hu/download/rtmpdump-2.3.tgz
  
  git clone https://github.com/FFmpeg/FFmpeg.git
  
  wget http://downloads.sourceforge.net/gpac/gpac-0.5.0.tar.gz
  
  wget http://downloads.sourceforge.net/gpac/gpac_extra_libs-0.5.0.tar.gz
  
  wget http://www.mplayerhq.hu/MPlayer/releases/codecs/all-20110131.tar.bz2
  
  wget http://www.mplayerhq.hu/MPlayer/releases/MPlayer-1.1.tar.xz
  
  wget https://bitbucket.org/acoustid/chromaprint/downloads/chromaprint-fpcalc-1.1-linux-x86_64.tar.gz
  
  wget http://sourceforge.net/projects/mad/files/madplay/0.15.2b/madplay-0.15.2b.tar.gz
  
  wget http://sourceforge.net/projects/mad/files/libmad/0.15.1b/libmad-0.15.1b.tar.gz
  
  wget http://sourceforge.net/projects/mad/files/libid3tag/0.15.1b/libid3tag-0.15.1b.tar.gz
  
  wget http://sourceforge.net/projects/sox/files/sox/14.4.1/sox-14.4.1.tar.gz
  
  wget http://downloads.xiph.org/releases/ao/libao-1.2.0.tar.gz
  
  wget http://downloads.sourceforge.net/twolame/twolame-0.3.13.tar.gz
  
  wget http://www.mega-nerd.com/libsndfile/files/libsndfile-1.0.25.tar.gz
  
  wget http://www.wavpack.com/wavpack-4.70.0.tar.bz2
  
  wget http://www.linuxfromscratch.org/patches/blfs/svn/libmad-0.15.1b-fixes-1.patch
  
  
  
  tar zxf yasm-1.3.0.tar.gz
  
  tar zxf libogg-1.3.2.tar.gz
  
  tar zxf libvorbis-1.3.4.tar.gz
  
  tar zxf libtheora-1.1.1.tar.gz
  
  tar jxf last_stable_x264.tar.bz2
  
  tar zxf opencore-amr-0.1.3.tar.gz
  
  tar zxf faac-1.28.tar.gz
  
  tar zxf lame-3.99.5.tar.gz
  
  unzip libvpx-v1.3.0.zip
  
  tar xzf yamdi-1.9.tar.gz
  
  tar xzf rtmpdump-2.3.tgz
  
  tar zxvf gpac-0.5.0.tar.gz
  
  tar zxvf gpac_extra_libs-0.5.0.tar.gz
  
  tar jxf all-20110131.tar.bz2
  
  tar jxf MPlayer-1.1.tar.xz
  
  tar xf chromaprint-fpcalc-1.1-linux-x86_64.tar.gz
  
  tar xf madplay-0.15.2b.tar.gz
  
  tar xf libmad-0.15.1b.tar.gz
  
  tar xf libid3tag-0.15.1b.tar.gz
  
  tar xf sox-14.4.1.tar.gz
  
  tar xf libao-1.2.0.tar.gz
  
  tar xf twolame-0.3.13.tar.gz
  
  tar xf libsndfile-1.0.25.tar.gz
  
  tar jxf wavpack-4.70.0.tar.bz2
  
  
  
  [YASM]
  
      cd /usr/local/src/yasm-1.3.0
  
      ./configure && make && make install
  
      yasm --version
  
      ldconfig
  
  [LIBOGG]
  
      cd /usr/local/src/libogg-1.3.2
  
      ./configure && make clean && make && make install
  
      ls /usr/local/lib/libogg*
  
      ldconfig
  
  [LIBVORBIS]
  
      cd /usr/local/src/libvorbis-1.3.4
  
      ./configure && make clean && make && make install
  
      ls /usr/local/lib/libvorbis*
  
      ldconfig
  
  [LIBTHEORA]
  
      cd /usr/local/src/libtheora-1.1.1
  
      ./configure && make clean && make && make install
  
      ls /usr/local/lib/libtheora*
  
      ldconfig
  
  [x264]
  
      cd /usr/local/src/x264-snapshot-[***]
  
      ./configure --enable-shared && make clean && make && make install
  
      ls /usr/local/lib/libx264*
  
      ldconfig
  
  [AMR]
  
      cd /usr/local/src/opencore-amr-0.1.3
  
      ./configure && make clean && make && make install
  
      ls /usr/local/lib/libopencore*
  
      ldconfig
  
  [FAAC]
  
      cd /usr/local/src/faac-1.28
  
      vi /usr/local/src/faac-1.28/common/mp4v2/mpeg4ip.h [ELIMINAR]:char *strcasestr(const char *haystack, const char *needle);
  
      ./configure && make && make install
  
      ls /usr/local/lib/libfaac*
  
      ldconfig
  
  [LAME]
  
      cd /usr/local/src/lame-3.99.5
  
      ./configure && make clean && make && make install
  
      ls /usr/local/lib/libmp3lame*
  
      ldconfig
  
  [GPAC+MP4BOX]
  
      cd  /sr/local/src/gpac
  
      cp -r ../gpac_extra_libs/* extra_lib/
  
      chmod +x configure
  
      ./configure
  
      make lib
  
      make apps
  
      make install-lib
  
      make install
  
      cp bin/gcc/libgpac.so /usr/lib
  
      ldconfig
  
  [LIBVPX]
  
      cd /usr/local/src/libvpx-v1.3.0
  
      ./configure --enable-vp8  --enable-pic --enable-shared && make && make install
  
      ls /usr/local/lib/libvpx*
  
      ldconfig
  
  [LIBRTMP]
  
      cd /usr/local/src/rtmpdump-2.3
  
      make SYS=posix
  
      make install
  
      ls /usr/local/lib/librtm*
  
      ldconfig
  
  [FFMPEG]
  
      cd /usr/local/src/FFmpeg
  
      export PKG_CONFIG_PATH="${PKG_CONFIG_PATH}:/usr/local/lib/pkgconfig"
  
      ./configure  --enable-gpl --enable-version3 --enable-nonfree --enable-shared --enable-libmp3lame --enable-libx264 --enable-libfaac --enable-libvpx --enable-libvorbis --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopencore-amrnb  --enable-libtheora --enable-librtmp
  
      make clean && make && make install
  
      make tools/qt-faststart
  
      cp tools/qt-faststart /usr/local/bin/
  
      ldconfig
  
      ffmpeg
  
      qt-faststart
  
  [MPLAYER]
  
      mv /usr/local/src/all-20110131 /usr/local/lib/codecs/
  
      chmod -R 755 /usr/local/lib/codecs/
  
      cd MPlayer-1-1
  
      make clean
  
      ./configure && make && make install
  
      ldconfig
  
  [YAMDI]
  
      cd /usr/local/src/yamdi-1.9
  
      gcc yamdi.c -o yamdi -O2 -Wall
  
      strip yamdi
  
      cp yamdi /usr/bin/yamdi
  
      yamdi -h
  
  [MEDIAINFO]
  
      rpm -ivh http://downloads.sourceforge.net/zenlib/libzen0-0.4.31-1.x86_64.CentOS_6.rpm
  
      rpm -ivh http://sourceforge.net/projects/mediainfo/files/binary/libmediainfo0/0.7.73/libmediainfo0-0.7.73-1.x86_64.CentOS_6.rpm
  
      rpm -ivh http://sourceforge.net/projects/mediainfo/files/binary/mediainfo/0.7.73/mediainfo-0.7.73-1.x86_64.CentOS_6.rpm
  
  [CHROMAPRINT]
  
      cp /usr/local/src/chromaprint-fpcalc-1.1-linux-x86_64/fpcalc /usr/local/bin/fpcalc
  
  [LIBAO]
  
      cd /usr/local/src/libao-1.2.0
  
      ./configure
  
      make
  
      make install
  
      ldconfig
  
  [LIBSND]
  
      cd /usr/local/src/libsndfile-1.0.25
  
      ./configure
  
      make
  
      make install
  
      ldconfig
  
  [TWOLAME]
  
      cd /usr/local/src/twolame-0.3.13
  
      ./configure
  
      make
  
      make install
  
      ldconfig
  
  [WAVPACK]
  
      cd /usr/local/src/wavpack-4.70.0
  
      ./configure
  
      make
  
      make install
  
      ldconfig
  
  [LIBMAD]
  
      cd /usr/local/src/libmad-0.15.1b
  
      patch -Np1 -i ../libmad-0.15.1b-fixes-1.patch
  
      sed "s@AM_CONFIG_HEADER@AC_CONFIG_HEADERS@g" -i configure.ac
  
      touch NEWS AUTHORS ChangeLog
  
      autoreconf -fi
  
      ./configure --enable-shared
  
      make
  
      make install
  
      ldconfig
  
  [ID3]
  
      cd /usr/local/src/libid3tag-0.15.1b
  
      ./configure --enable-shared
  
      make
  
      make install
  
      ldconfig
  
  [MADPLAY]
  
      cd /usr/local/src/madplay-0.15.2b
  
      ./configure --enable-shared
  
      make
  
      make install
  
      ldconfig
  
  [SOX]
  
      cd /usr/local/src/sox-14.4.1
  
      ./configure
  
      make -s
  
      make install
  
      ldconfig

• 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.

  

  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.

  Start for free

  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 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.

  

  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 :

  

  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

  2. Split your audience into two groups :

  1. • Control group (60% of the segment)
     • Test group (40% of the segment)

  3. Target the control group with your marketing tactic (the simpler the tactic, the better).

  4. Target the test group with a different marketing tactic.

  5. 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.

  6. 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.

  Start for free

  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 :

  

  • • 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.

  Try Matomo for Free

  21 day free trial. No credit card required.

  
  

  Your email address
  

  Your website address
  

  Your Analytics subdomain will be .matomo.cloud (change)

  Choose your analytics subdomain
  

  .matomo.cloud

  I accept the terms and conditions and data processing agreement (DPA)

  
  Your information will be used to create an account on our cloud service. For more information please consult our privacy policy.
  
  
  

  Start improving your websites now

  

• CCPA vs GDPR : Understanding Their Impact on Data Analytics

  19 mars, par Alex Carmona

  With over 400 million internet users in Europe and 331 million in the US (11% of which reside in California alone), understanding the nuances of privacy laws like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) is crucial for compliant and ethical consumer data collection.

  Navigating this compliance landscape can be challenging for businesses serving European and Californian markets.

  This guide explores the key differences between CCPA and GDPR, their impact on data analytics, and how to ensure your business meets these essential privacy requirements.

  What is the California Consumer Privacy Act (CCPA) ?

  The California Consumer Privacy Act (CCPA) is a data privacy law that gives California consumers control over their personal information. It applies to for-profit businesses operating in California that meet specific criteria related to revenue, data collection and sales.

  Origins and purpose

  The CCPA addresses growing concerns about data privacy and how businesses use personal information in California. The act passed in 2018 and went into effect on 1 January 2020.

  Key features

  • Grants consumers the right to know what personal information is collected
  • Provides the right to delete personal information
  • Allows consumers to opt out of the sale of their personal information
  • Prohibits discrimination against consumers who exercise their CCPA rights

  Key definitions under the CCPA framework

  • Business : A for-profit entity doing business in California and meeting one or more of these conditions :
    • Has annual gross revenues over $25 million ;
    • Buys, receives, sells or shares 50,000 or more consumers’ personal information ; or
    • Derives 50% or more of its annual revenues from selling consumers’ personal information
  • Consumer : A natural person who is a California resident
  • Personal Information : Information that could be linked to, related to or used to identify a consumer or household, such as online identifiers, IP addresses, email addresses, social security numbers, cookie identifiers and more

  What is the General Data Protection Regulation (GDPR) ?

  The General Data Protection Regulation (GDPR) is a data privacy and protection law passed by the European Union (EU). It’s one of the strongest and most influential data privacy laws worldwide and applies to all organisations that process the personal data of individuals in the EU.

  Origins and purpose

  The GDPR was passed in 2016 and went into effect on 25 May 2018. It aims to harmonise data privacy laws in Europe and give people in the European Economic Area (EEA) privacy rights and control over their data.

  Key features

  • Applies to all organisations that process the personal data of individuals in the EEA
  • Grants individuals a wide range of privacy rights over their data
  • Requires organisations to obtain explicit and informed consent for most data processing
  • Mandates appropriate security measures to protect personal data
  • Imposes significant fines and penalties for non-compliance

  Key definitions under the GDPR framework

  • Data Subject : An identified or identifiable person
  • Personal Data : Any information relating to a data subject
  • Data Controller : The entity or organisation that determines how personal data is processed and what for
  • Data Processor : The entity or organisation that processes the data on behalf of the controller

  CCPA vs. GDPR : Key similarities

  The CCPA and GDPR enhance consumer privacy rights and give individuals greater control over their data.

  Dimension	CCPA	GDPR
  Purpose	Protect consumer privacy	Protect individual data rights
  Key Rights	Right to access, delete and opt out of sale	Right to access, rectify, erase and restrict processing
  Transparency	Requires transparency around data collection and use	Requires transparency about data collection, processing and use

  CCPA vs. GDPR : Key differences

  While they have similar purposes, the CCPA and GDPR differ significantly in their scope, approach and specific requirements.

  Dimension	CCPA	GDPR
  Scope	For-profit businesses only	All organisations processing EU consumer data
  Territorial Reach	California-based natural persons	All data subjects within the EEA
  Consent	Opt-out system	Opt-in system
  Penalties	Per violation based on its intentional or negligent nature	Case-by-case based on comprehensive assessment
  Individual Rights	Narrower (relative to GDPR)	Broader (relative to CCPA)

  CCPA vs. GDPR : A multi-dimensional comparison

  The previous sections gave a broad overview of the similarities and differences between CCPA and GDPR. Let’s now examine nine key dimensions where these regulations converge or diverge and discuss their impact on data analytics.

  

  #1. Scope and territorial reach

  The GDPR has a much broader scope than the CCPA. It applies to all organisations that process the personal data of individuals in the EEA, regardless of their business model, purpose or physical location.

  The CCPA applies to medium and large for-profit businesses that derive a substantial portion of their earnings from selling Californian consumers’ personal information. It doesn’t apply to non-profits, government agencies or smaller for-profit companies.

  Impact on data analytics

  The difference in scope significantly impacts data analytics practices. Smaller businesses may not need to comply with either regulation, some may only need to follow the CCPA, while most global businesses must comply with both. This often requires different methods for collecting and processing data in California, Europe, and elsewhere.

  #2. Penalties and fines for non-compliance

  Both the CCPA and GDPR impose penalties for non-compliance, but the severity of fines differs significantly :

  CCPA	Maximum penalty
  	$2,500 per unintentional violation $7,500 per intentional violation

  “Per violation” means per violation per impacted consumer. For example, three intentional CCPA violations affecting 1,000 consumers would result in 3,000 total violations and a $22.5 million maximum penalty (3,000 × $7,500).

  

  The largest CCPA fine to date was Zoom’s $85 million settlement in 2021.

  

  In contrast, the GDPR has resulted in 2,248 fines totalling almost €6.6 billion since 2018 — €2.4 billion of which were for non-compliance.

  GDPR	Maximum penalty
  	€20 million or 4% of all revenue earned the previous year

  So far, the biggest fine imposed under the GDPR was Meta’s €1.2 billion fine in May 2023 — 15 times more than Zoom had to pay California.

  Impact on data analytics

  The significant difference in potential fines demonstrates the importance of regulatory compliance for data analytics professionals. Non-compliance can have severe financial consequences, directly affecting budget allocation and business operations.

  Businesses must ensure their data collection, storage and processing practices comply with regulations in both Europe and California.

  Choosing privacy-first, compliance-ready analytics platforms like Matomo is instrumental for mitigating non-compliance risks.

  #3. Data subject rights and consumer rights

  The CCPA and GDPR give people similar rights over their data, but their limitations and details differ.

  Rights common to the CCPA and GDPR

  • Right to Access/Know : People can access their personal information and learn what data is collected, its source, its purpose and how it’s shared
  • Right to Delete/Erasure : People can request the deletion of their personal information, with some exceptions
  • Right to Non-Discrimination : Businesses can’t discriminate against people who exercise their privacy rights

  Consumer rights unique to the CCPA

  • Right to Opt Out of Sale : Consumers can prohibit the sale of their personal information
  • Right to Notice : Businesses must inform consumers about data collection practices
  • Right to Disclosure : Consumers can request specific information collected about them

  Data subject rights unique to the GDPR

  • Right to be Informed : Broader transparency requirements encompass data retention, automated decision-making and international transfers
  • Right to Rectification : Data subjects may request the correction of inaccurate data
  • Right to Restrict Processing : Consumers may limit data use in certain situations
  • Right to Data Portability : Businesses must provide individual consumer data in a secure, portable format when requested
  • Right to Withdraw Consent : Consumers may withdraw previously granted consent to data processing

  	CCPA	GDPR
  Right to Access or Know	✓	✓
  Right to Delete or Erase	✓	✓
  Right to Non-Discrimination	✓	✓
  Right to Opt-Out	✓
  Right to Notice	✓
  Right to Disclosure	✓
  Right to be Informed		✓
  Right to Rectification		✓
  Right to Restrict Processing		✓
  Right to Data Portability		✓
  Right to Withdraw Consent		✓

  Impact on data analytics

  Data analysts must understand these rights and ensure compliance with both regulations, which could potentially require separate data handling processes for EU and California consumers.

  #4. Opt-out vs. opt-in

  The CCPA generally follows an opt-out model, while the GDPR requires explicit consent from individuals before processing their data.

  Impact on data analytics

  For CCPA compliance, businesses can collect data by default if they provide opt-out mechanisms. Failing to process opt-out requests can result in severe penalties, like Sephora’s $1.2 million fine.

  Under GDPR, organisations must obtain explicit consent before collecting any data, which can limit the amount of data available for analysis.

  #5. Parental consent

  The CCPA and GDPR have provisions regarding parental consent for processing children’s data. The CCPA requires parental consent for children under 13, while the GDPR sets the age at 16, though member states can lower it to 13.

  Impact on data analytics

  This requirement significantly impacts businesses targeting younger audiences. In Europe and the US, companies must implement different methods to verify users’ ages and obtain parental consent when necessary.

  The California Attorney General’s Office recently fined Tilting Point Media LLC $500,000 for sharing children’s data without parental consent.

  #6. Data security requirements

  Both regulations require businesses to implement adequate security measures to protect personal data. However, the GDPR has more prescriptive requirements, outlining specific security measures and emphasising a risk-based approach.

  Impact on data analytics

  Data analytics professionals must ensure that data is processed and stored securely to avoid breaches and potential fines.

  #7. International data transfers

  Both the CCPA and GDPR address international data transfers. Under the CCPA, businesses must only inform consumers about international transfers. The GDPR has stricter requirements, including ensuring adequate data protection safeguards for transfers outside the EEA.

  

  Other rules, like the Payment Services Directive 2 (PSD2), also affect international data transfers, especially in the financial industry.

  PSD2 requires strong customer authentication and secure communication channels for payment services. This adds complexity to cross-border data flows.

  Impact on data analytics

  The primary impact is on businesses serving European residents from outside Europe. Processing data within the European Union is typically advisable. Meta’s record-breaking €1.2 billion fine was specifically for transferring data from the EEA to the US without sufficient safeguards.

  Choosing the right analytics platform helps avoid these issues.

  For example, Matomo offers a free, open-source, self-hosted analytics platform you can deploy anywhere. You can also choose a managed, GDPR-compliant cloud analytics solution with all data storage and processing servers within the EU (in Germany), ensuring your data never leaves the EEA.

  #8. Enforcement mechanisms

  The California Attorney General is responsible for enforcing CCPA requirements, while in Europe, the Data Protection Authority (DPA) in each EU member state enforces GDPR requirements.

  Impact on data analytics

  Data analytics professionals should be familiar with their respective enforcement bodies and their powers to support compliance efforts and minimise the risk of fines and penalties.

  #9. Legal basis for personal data processing

  The GDPR outlines six legal grounds for processing personal data :

  • Consent
  • Contract
  • Legal obligation
  • Vital interests
  • Public task
  • Legitimate interests

  The CCPA doesn’t explicitly define lawful bases but focuses on consumer rights and transparency in general.

  Impact on data analytics

  Businesses subject to the GDPR must identify and document a valid lawful basis for each processing activity.

  Compliance rules under CCPA and GDPR

  Complying with the CCPA and GDPR requires a comprehensive approach to data privacy. Here’s a summary of the essential compliance rules for each framework :

  

  CCPA compliance rules

  • Create clear and concise privacy policies outlining data collection and use practices
  • Give consumers the right to opt-out
  • Respond to consumer requests to access, delete and correct their personal information
  • Implement reasonable security measures for consumers’ personal data protection
  • Never discriminate against consumers who exercise their CCPA rights

  GDPR compliance rules

  • Obtain explicit and informed consent for data processing activities
  • Implement technical and organisational controls to safeguard personal data
  • Designate a Data Protection Officer (DPO) if necessary
  • Perform data protection impact assessments (DPIAs) for high-risk processing activities
  • Maintain records of processing activities
  • Promptly report data breaches to supervisory authorities

  Navigating the CCPA and GDPR with confidence

  Understanding the nuances of the CCPA and GDPR is crucial for businesses operating in the US and Europe. These regulations significantly impact data collection and analytics practices.

  Implementing robust data security practices and prioritising privacy and compliance are essential to avoid severe penalties and build trust with today’s privacy-conscious consumers.

  Privacy-centric analytics platforms like Matomo enable businesses to collect, analyse and use data responsibly and transparently, extracting valuable insights while maintaining compliance with both CCPA and GDPR requirements.

  Start your 21-day free trial today !

  no credit card required