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• Switch to Matomo for WordPress from Google Analytics

  10 mars 2020, par Joselyn Khor — Plugins, Privacy
  While Google Analytics may seem like a great plugin option on the WordPress directory, we’d like to present a new ethical alternative called Matomo for WordPress, which gives you 100% data ownership and privacy protection.

  Firstly what does Google Analytics offer in WordPress ?

  When you think of getting insights about visitors on your WordPress (WP) sites, the first thing that comes to mind might be Google Analytics. Why not right ? Especially when there are good free Google Analytics plugins, like Monster Insights and Site Kit. 

  These give you access to a great analytics platform, but the downside with Google Analytics is the lack of transparency around privacy and data ownership.

  

  Matomo Analytics for WordPress is an ethical alternative to Google Analytics for WordPress

  If you’re more interested in a privacy-respecting, GDPR compliant alternative, there’s now a new option on the WP plugins directory : Matomo Analytics – Ethical Stats. Powerful Insights. 

  It’s free and can be considered the #1 ethical alternative to Google Analytics in terms of features and capabilities. Why is it important to choose a web analytics platform that respects privacy ?

  

  Risk facing fines for non-GDPR compliance and privacy/data breaches

  In Europe there’s an overarching privacy law called GDPR which provides better privacy protection for EU citizens on the web. 

  Websites need to be GDPR compliant and follow rules governing how personal data is used or risk facing fines up to 4% of their yearly revenue for data/privacy breaches or non-compliance. Even if your website is based outside of Europe. If you have visitors from Europe, you can still be liable.

  

  In the US, there isn’t one main privacy law, there hundreds on both the federal and state levels to protect the personal data (or personally identifiable information) of US residents – like the California Consumer Privacy Act (CCPA). There are also industry-specific statutes related to data privacy like HIPAA.

  To protect your website from coming under fire for privacy breaches, best practise is to find platforms that are privacy and GDPR compliant by design. 

  When you own your own data – as with the case of Matomo – you have control over where data is stored, what you’re doing with it, and can better protect the privacy of your visitors.

  At this point you may be asking, “what’s the point of an analytics platform if you have to follow all these rules ?”

  The importance of analytics for your WordPress site

  • Figuring out how your audience behaves to increase conversions
  • Setting, tracking and measuring conversion goals
  • Being able to find insights to improve and optimize your site 
  • Making smarter, data-driven decisions so your company can thrive, rather than risk being left behind

  Analytics is used to answer questions like :

  • Where are your website visitors coming from (location) ?
  • How many people visit your website ?
  • Which are the most popular pages on your site ?
  • What sources of traffic are coming to your site (social, marketing campaigns, search) ?
  • Is your marketing campaign performing better this month compared to last ?

  Matomo can answer all of the above questions. BONUS : On top of that, with Matomo you get the peace of mind knowing you’re the only one who has access to those answers.

  

  Matomo Analytics vs Google Analytics on WordPress

  The top 5 most useful features in Matomo Analytics that’s comparable to GA

  1. Campaign measurement – traffic. Matomo also has a URL builder that lets you track which campaigns are working effectively
  2. Tracking goals. Matomo empowers you to set goals you can track. Being able to see this means you can accurately measure your return on investment (ROI) 
  3. Audience reports to learn about visitors. Matomo’s powerful visitors feature lets you learn who is visiting your site, what their journey is and the steps they take to conversion.
  4. In depth view of behaviour with Funnels in Matomo. This tracks the journey of your visitors from the moment they enter your site, to when they leave. Giving you insight into where and why you lose your visitors.
  5. Custom reports. Where you create your unique reports to fit your business goals.

  Other benefits of using Matomo :

  • No data sampling which means you get 100% accurate reporting
  • 100% data ownership
  • Free Tag Manager
  • Search engine keyword rankings
  • Unlimited websites
  • Unlimited team members
  • GDPR manager
  • API access
  • Hosted on your own servers so you have full control over where your data is stored

  Learn more about the differences in this comprehensive table.

  

  Matomo Analytics for WordPress is free !

  Matomo Analytics is the best free Google Analytics alternative on the WordPress Directory. In addition to having comparable features where you can do pretty much do everything you wanted to do in GA. Matomo Analytics for WordPress makes for an ethical choice because you can respect your visitor’s privacy, can become GDPR compliant, and maintain control over your own data.

  Google Analytics leads the market for good reasons. It’s a great free tool for those who want analytics, but there’s no clarity when it comes to grey areas like privacy and data ownership. If these are major concerns for you, Matomo offers complete peace of mind that you’re doing the best you can to stay ethical while growing your business and website.

  It’s just as easy to install in a few click !

  Install and see for yourself !

• 4 Ways to Embed User Privacy & Data Security in Your Business

  15 juillet 2022, par Erin — Privacy

  Customer analytics undeniably plays a vital role for businesses. Product improvements, interface personalisation, content improvements, and creative advertising thrive on data. 

  Yet, there’s a fine line between being a customer-centred company and a privacy-violating one. 

  Due to ubiquitous online tracking, 62% of Americans now believe that it’s impossible to go about their daily lives without companies collecting data about them. Still, despite the importance of privacy in business for consumers, companies are reluctant to act. Privacy initiatives often stay on the back burner due to perceived complexity. That’s true to some extent.

  Privacy in business does assume complex technical changes to your data management. But to be a privacy-centred organisation, you also need to re-think your processes, practices, and culture. 

  Here are four ways to start your journey to better user privacy and data security. 

  1. Revise Your Data Collection Process to Gain Consumer Trust 

  The public is wary of sharing data with businesses because they are suspicious of its subsequent usage. 

  However, not all data collection is bad or wrong. In many cases, you need specific data for service delivery, compliance, or good-natured personalisation. 

  That’s exactly what consumers expect. Almost half of US consumers say they’d trust a company that limits the amount of personal information requested and only asks for data relevant to its products/services. 

  By limiting data collection and offering transparent data usage terms, you can : 

  • Reassure reluctant users to try your product or service — hence, boost conversions and sales. 
  • Retain existing audiences by gaining their trust, which leads to loyalty and higher customer lifetime value (CLV). 

  To gain consumers’ trust, implement proper consent and opt-out mechanisms. Then create educational materials about how you are collecting and using their data.

  2. Perform Data Mapping to Determine Where Sensitive Data Rests 

  Businesses are already pressed with an expanded cyber-security radar, courtesy of remote work, digital payment processing, IoT device adoption, etc. Yet, 41% of the executives don’t think their security initiatives have kept up with the digital transformations.

  Loopholes in security eventually result in a data breach. The average cost of a data breach looms at $4.24 million globally. The sum includes regulatory fines and containment costs, plus indirect losses in the form of reduced brand equity and market share. 

  Lax data protection in business also undermines consumer trust : 87% of consumers wouldn’t transact with a company if they had qualms with its security practices. 

  To improve your security posture, analyse where you are storing sensitive consumer data, who has access to it (internally and externally), and how you are protecting it. Then work with cybersecurity specialists on implementing stronger consumer security mechanisms (e.g. auto-log offs, secure password policy, etc) and extra internal security policies (if needed). 

  At the same time, start practising data minimisation. Ensure that all collected data is : 

  • Adequate – sufficient to meet your stated objectives 
  • Relevant – is rationally linked to the objectives 
  • Limited – no unnecessary data is collected or stored
  • Timely – data is periodically reviewed and removed when unnecessary 

  

  These principles prevent data hoarding. Also, they help improve your security posture and regulatory compliance by reducing the volume of information you need to safeguard.

  3. Do an Inventory of Your Business Tools

  Data leaks and consumer privacy breaches often occur through third parties. Because Google Analytics was deemed in breach of European GDPR in France, Austria and Italy, businesses using it are vulnerable to lawsuits (which are already happening). 

  Investigate your corporate toolkit to determine “weak links” – tools with controversial privacy policies, murky data collection practices, and poor security. 

  Treat it as a journey and pick your battles. By relying on Big Tech products for years, you might have overlooked better alternatives. 

  For example :

  • Matomo is a privacy-centred Google Analytics alternative. Our web analytics is compliant with GDPR, CCPA, and other global privacy laws. Unlike Google Analytics, we don’t exploit any data you collect and provide full transparency into how and where it’s stored. Or if you want a simple analytics solution, Fathom is another great privacy-friendly option.

  

  • For online data storage, you can choose Proton Drive or Nextcloud (open-source). Or host your corporate data with a local cloud hosting provider to avoid cross-border data transfers.

  

  Aim to progressively replace Google products with more privacy-centred alternatives. 

  4. Cultivate a Privacy-Centred Corporate Culture 

  To make privacy a competitive advantage, you need every team member (at every level) to respect its importance. 

  This is a continuous process of inspiring and educating your people. Find “privacy ambassadors” who are willing to lead the conversations, educate others, and provide resources for leading the change. 

  On an operational level, incorporate privacy principles around data minimisation, bounded collection, and usage into your Code of Conduct, standard operating procedures (SOPs), and other policies. 

  Creating a privacy-centric culture takes effort, but it pays off well. Cisco estimates that for each dollar spent on privacy, an average organisation gets $2.70 in associated benefits. Almost half (47%) of organisations gain 2X returns on their privacy initiatives.

  Moving Forward with a Data Privacy Programme 

  Privacy has become a strong differentiator for brands. Consumers crave transparency and ethical data usage. Regulators mandate limited data collection and proper security mechanisms.

  But sweeping changes are hard to implement. So start small and go one step at a time. Understand which first-party data your company collects and how it is stored.

  Then look into the tools and technologies you are using for data collection. Do these provide sufficient privacy controls ? How are they using data collected on your behalf ? Finally, move to wider transformations, pertaining to data management, cybersecurity, and cultural practices. 

  Be consistent with your effort — and eventually, all the pieces will fall into place. 

• Play video using mse (media source extension) in google chrome

  23 août 2019, par liyuqihxc

  I’m working on a project that convert rtsp stream (ffmpeg) and play it on the web page (signalr + mse).

  So far it works pretty much as I expected on the latest version of edge and firefox, but not chrome.

  here’s the code

  public class WebmMediaStreamContext
  
  {
  
      private Process _ffProcess;
  
      private readonly string _cmd;
  
      private byte[] _initSegment;
  
      private Task _readMediaStreamTask;
  
      private CancellationTokenSource _cancellationTokenSource;
  
  
  
      private const string _CmdTemplate = "-i {0} -c:v libvpx -tile-columns 4 -frame-parallel 1 -keyint_min 90 -g 90 -f webm -dash 1 pipe:";
  
  
  
      public static readonly byte[] ClusterStart = { 0x1F, 0x43, 0xB6, 0x75, 0x01, 0x00, 0x00, 0x00 };
  
  
  
      public event EventHandler<clusterreadyeventargs> ClusterReadyEvent;
  
  
  
      public WebmMediaStreamContext(string rtspFeed)
  
      {
  
          _cmd = string.Format(_CmdTemplate, rtspFeed);
  
      }
  
  
  
      public async Task StartConverting()
  
      {
  
          if (_ffProcess != null)
  
              throw new InvalidOperationException();
  
  
  
          _ffProcess = new Process();
  
          _ffProcess.StartInfo = new ProcessStartInfo
  
          {
  
              FileName = "ffmpeg/ffmpeg.exe",
  
              Arguments = _cmd,
  
              UseShellExecute = false,
  
              CreateNoWindow = true,
  
              RedirectStandardOutput = true
  
          };
  
          _ffProcess.Start();
  
  
  
          _initSegment = await ParseInitSegmentAndStartReadMediaStream();
  
      }
  
  
  
      public byte[] GetInitSegment()
  
      {
  
          return _initSegment;
  
      }
  
  
  
      // Find the first cluster， and everything before it is the InitSegment
  
      private async Task ParseInitSegmentAndStartReadMediaStream()
  
      {
  
          Memory<byte> buffer = new byte[10 * 1024];
  
          int length = 0;
  
          while (length != buffer.Length)
  
          {
  
              length += await _ffProcess.StandardOutput.BaseStream.ReadAsync(buffer.Slice(length));
  
              int cluster = buffer.Span.IndexOf(ClusterStart);
  
              if (cluster >= 0)
  
              {
  
                  _cancellationTokenSource = new CancellationTokenSource();
  
                  _readMediaStreamTask = new Task(() => ReadMediaStreamProc(buffer.Slice(cluster, length - cluster).ToArray(), _cancellationTokenSource.Token), _cancellationTokenSource.Token, TaskCreationOptions.LongRunning);
  
                  _readMediaStreamTask.Start();
  
                  return buffer.Slice(0, cluster).ToArray();
  
              }
  
          }
  
  
  
          throw new InvalidOperationException();
  
      }
  
  
  
      private void ReadMoreBytes(Span<byte> buffer)
  
      {
  
          int size = buffer.Length;
  
          while (size > 0)
  
          {
  
              int len = _ffProcess.StandardOutput.BaseStream.Read(buffer.Slice(buffer.Length - size));
  
              size -= len;
  
          }
  
      }
  
  
  
      // Parse every single cluster and fire ClusterReadyEvent
  
      private void ReadMediaStreamProc(byte[] bytesRead, CancellationToken cancel)
  
      {
  
          Span<byte> buffer = new byte[5 * 1024 * 1024];
  
          bytesRead.CopyTo(buffer);
  
          int bufferEmptyIndex = bytesRead.Length;
  
  
  
          do
  
          {
  
              if (bufferEmptyIndex &lt; ClusterStart.Length + 4)
  
              {
  
                  ReadMoreBytes(buffer.Slice(bufferEmptyIndex, 1024));
  
                  bufferEmptyIndex += 1024;
  
              }
  
  
  
              int clusterDataSize = BitConverter.ToInt32(
  
                  buffer.Slice(ClusterStart.Length, 4)
  
                  .ToArray()
  
                  .Reverse()
  
                  .ToArray()
  
              );
  
              int clusterSize = ClusterStart.Length + 4 + clusterDataSize;
  
              if (clusterSize > buffer.Length)
  
              {
  
                  byte[] newBuffer = new byte[clusterSize];
  
                  buffer.Slice(0, bufferEmptyIndex).CopyTo(newBuffer);
  
                  buffer = newBuffer;
  
              }
  
  
  
              if (bufferEmptyIndex &lt; clusterSize)
  
              {
  
                  ReadMoreBytes(buffer.Slice(bufferEmptyIndex, clusterSize - bufferEmptyIndex));
  
                  bufferEmptyIndex = clusterSize;
  
              }
  
  
  
              ClusterReadyEvent?.Invoke(this, new ClusterReadyEventArgs(buffer.Slice(0, bufferEmptyIndex).ToArray()));
  
  
  
              bufferEmptyIndex = 0;
  
          } while (!cancel.IsCancellationRequested);
  
      }
  
  }
  
  </byte></byte></byte></clusterreadyeventargs>

  I use ffmpeg to convert the rtsp stream to vp8 WEBM byte stream and parse it to "Init Segment" (ebml head、info、tracks...) and "Media Segment" (cluster)， then send it to browser via signalR

  $(function () {
  
  
  
      var mediaSource = new MediaSource();
  
      var mimeCodec = 'video/webm; codecs="vp8"';
  
  
  
      var video = document.getElementById('video');
  
  
  
      mediaSource.addEventListener('sourceopen', callback, false);
  
      function callback(e) {
  
          var sourceBuffer = mediaSource.addSourceBuffer(mimeCodec);
  
          var queue = [];
  
  
  
          sourceBuffer.addEventListener('updateend', function () {
  
              if (queue.length === 0) {
  
                  return;
  
              }
  
  
  
              var base64 = queue[0];
  
              if (base64.length === 0) {
  
                  mediaSource.endOfStream();
  
                  queue.shift();
  
                  return;
  
              } else {
  
                  var buffer = new Uint8Array(atob(base64).split("").map(function (c) {
  
                      return c.charCodeAt(0);
  
                  }));
  
                  sourceBuffer.appendBuffer(buffer);
  
                  queue.shift();
  
              }
  
          }, false);
  
  
  
          var connection = new signalR.HubConnectionBuilder()
  
              .withUrl("/signalr-video")
  
              .configureLogging(signalR.LogLevel.Information)
  
              .build();
  
          connection.start().then(function () {
  
              connection.stream("InitVideoReceive")
  
                  .subscribe({
  
                      next: function(item) {
  
                          if (queue.length === 0 && !!!sourceBuffer.updating) {
  
                              var buffer = new Uint8Array(atob(item).split("").map(function (c) {
  
                                  return c.charCodeAt(0);
  
                              }));
  
                              sourceBuffer.appendBuffer(buffer);
  
                              console.log(blockindex++ + " : " + buffer.byteLength);
  
                          } else {
  
                              queue.push(item);
  
                          }
  
                      },
  
                      complete: function () {
  
                          queue.push('');
  
                      },
  
                      error: function (err) {
  
                          console.error(err);
  
                      }
  
                  });
  
          });
  
      }
  
      video.src = window.URL.createObjectURL(mediaSource);
  
  })

  chrome just play the video for 3 5 seconds and then stop for buffering, even though there are plenty of cluster transfered and inserted into SourceBuffer.

  here’s the information in chrome ://media-internals/

  Player Properties :

  render_id: 217
  
  player_id: 1
  
  origin_url: http://localhost:52531/
  
  frame_url: http://localhost:52531/
  
  frame_title: Home Page
  
  url: blob:http://localhost:52531/dcb25d89-9830-40a5-ba88-33c13b5c03eb
  
  info: Selected FFmpegVideoDecoder for video decoding, config: codec: vp8 format: 1 profile: vp8 coded size: [1280,720] visible rect: [0,0,1280,720] natural size: [1280,720] has extra data? false encryption scheme: Unencrypted rotation: 0°
  
  pipeline_state: kSuspended
  
  found_video_stream: true
  
  video_codec_name: vp8
  
  video_dds: false
  
  video_decoder: FFmpegVideoDecoder
  
  duration: unknown
  
  height: 720
  
  width: 1280
  
  video_buffering_state: BUFFERING_HAVE_NOTHING
  
  for_suspended_start: false
  
  pipeline_buffering_state: BUFFERING_HAVE_NOTHING
  
  event: PAUSE

  Log

  Timestamp       Property            Value
  
  00:00:00 00     origin_url          http://localhost:52531/
  
  00:00:00 00     frame_url           http://localhost:52531/
  
  00:00:00 00     frame_title         Home Page
  
  00:00:00 00     url                 blob:http://localhost:52531/dcb25d89-9830-40a5-ba88-33c13b5c03eb
  
  00:00:00 00     info                ChunkDemuxer: buffering by DTS
  
  00:00:00 35     pipeline_state      kStarting
  
  00:00:15 213    found_video_stream  true
  
  00:00:15 213    video_codec_name    vp8
  
  00:00:15 216    video_dds           false
  
  00:00:15 216    video_decoder       FFmpegVideoDecoder
  
  00:00:15 216    info                Selected FFmpegVideoDecoder for video decoding, config: codec: vp8 format: 1 profile: vp8 coded size: [1280,720] visible rect: [0,0,1280,720] natural size: [1280,720] has extra data? false encryption scheme: Unencrypted rotation: 0°
  
  00:00:15 216    pipeline_state      kPlaying
  
  00:00:15 213    duration            unknown
  
  00:00:16 661    height              720
  
  00:00:16 661    width               1280
  
  00:00:16 665    video_buffering_state       BUFFERING_HAVE_ENOUGH
  
  00:00:16 665    for_suspended_start         false
  
  00:00:16 665    pipeline_buffering_state    BUFFERING_HAVE_ENOUGH
  
  00:00:16 667    pipeline_state      kSuspending
  
  00:00:16 670    pipeline_state      kSuspended
  
  00:00:52 759    info                Effective playback rate changed from 0 to 1
  
  00:00:52 759    event               PLAY
  
  00:00:52 759    pipeline_state      kResuming
  
  00:00:52 760    video_dds           false
  
  00:00:52 760    video_decoder       FFmpegVideoDecoder
  
  00:00:52 760    info                Selected FFmpegVideoDecoder for video decoding, config: codec: vp8 format: 1 profile: vp8 coded size: [1280,720] visible rect: [0,0,1280,720] natural size: [1280,720] has extra data? false encryption scheme: Unencrypted rotation: 0°
  
  00:00:52 760    pipeline_state      kPlaying
  
  00:00:52 793    height              720
  
  00:00:52 793    width               1280
  
  00:00:52 798    video_buffering_state       BUFFERING_HAVE_ENOUGH
  
  00:00:52 798    for_suspended_start         false
  
  00:00:52 798    pipeline_buffering_state    BUFFERING_HAVE_ENOUGH
  
  00:00:56 278    video_buffering_state       BUFFERING_HAVE_NOTHING
  
  00:00:56 295    for_suspended_start         false
  
  00:00:56 295    pipeline_buffering_state    BUFFERING_HAVE_NOTHING
  
  00:01:20 717    event               PAUSE
  
  00:01:33 538    event               PLAY
  
  00:01:35 94     event               PAUSE
  
  00:01:55 561    pipeline_state      kSuspending
  
  00:01:55 563    pipeline_state      kSuspended

  Can someone tell me what’s wrong with my code, or dose chrome require some magic configuration to work ?

  Thanks 

  Please excuse my english :)