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• How Media Analytics for Piwik gives you the insights you need to measure how effective your video and audio marketing is – Part 1

  31 janvier 2017, par InnoCraft — Community

  Do you have video or audio content on your website or in your app ? If you answered this with yes, you should continue reading and learn everything about our Media Analytics premium feature.

  When you produce video or audio content, you are either spending money or time or often both money and time on your content in the hope of increasing conversions or sales. This means you have to know how your media is being used, when it is used, for how long and by whom. You can simply not afford not to know how this content affects your overall business goals as you are likely losing money and time by not making the most out of it. Would you be able to answer any of the above questions ? Do you know whether you can justify the cost and time for producing them, which videos work better than others and how they support your marketing strategy ? Luckily, getting all these insights is now so trivial it is almost a crime to not measure it.

  Getting Media Analytics and Installation

  Media Analytics can be purchased from the Piwik Marketplace where you find all sorts of free plugins as well as several premium features such as A/B Testing or Funnel. After the purchase you will receive a license key that you can enter in your Piwik to install and update the plugin with just one click.

  The feature will in most cases automatically start tracking your media content and you don’t even need to change the tracking code on your website. Currently supported players are for example YouTube, Vimeo, HTML 5, JW Player, VideoJS and many more players. You can also easily extend it by adding a custom media player or simply by letting us know which player you use and we will add support for it for you.

  By activating this feature, you get more than 15 new media reports, even more exportable widgets, new segments, APIs, and more. We will cover some of those features in this blog post and in part 2. For a full list of features check out the Media Analytics page on the Piwik Marketplace.

  Media Overview

  As the name says, it gives you an overview over your media usage and how it performs over time. You can choose any media metrics in the big evolution graph and the sparklines below give you an overview over all important metrics in a glance.

  

  It lets you for example see how often media was shown to your users, how often users start playing your media, for how long they watched it, how often they finished it, and more. If you see some spikes there, you should definitely have a deeper look at the other reports. When you hover a metric, it will show you a tooltip explaining how the data for this is collected and what it means.

  Real-Time Media

  On the Real-Time page you can see how your content is being used by your visitors right now, for example within the last 30 minutes, last 60 minutes and last 24 hours.

  It shows you how many plays you had in the last minutes, for how long they played it, and it shows you currently most popular media titles. This is great to discover which media content performs best right now and lets you make decisions based on user behaviour that is happening right now.

  

  Below you can see our Audience Real-Time Map that shows you from where in the world your media is being played. A bigger circle indicates that a media play happened more recently and of course you can zoom in down to countries and regions.

  

  All the reports update every few seconds so you can always have a look at it and see in just a second how your content is doing and how certain marketing campaigns affect it. All these real-time reports can be also added as widgets to any of your Piwik Dashboards and they can be exported for example as an iframe.

  Video, Audio and Media Player reports

  Those reports come with so many features, we need a separate blog post and cover this in part 2.

  Events

  Media Analytics will automatically track events so you can see how often users pressed for example play or pause, how often they resumed a video and how often they finished a video. This helps you better understand how your media is being used.

  

  For example in the past we noticed a couple of videos with lots of pause and resume events. We then had a look at the Audience Log – which we will cover next – to better understand why visitors paused the videos so often. We then realized they did this especially for videos that were served from a specific server and because the videos were loading so slow, users often pressed pause to let the media buffer, then played the media for a few seconds and then paused it again as they had to wait for the video to load. Moving those videos to another, faster server showed us immediate results in the number of pauses going down and on average visitors watched the videos for much longer.

  Audience Log

  At InnoCraft, we understand that not only aggregated metrics matter but also that you often need the ability to dig into your data and “debug” certain behaviours to understand the cause for some unusual high or low metrics. For example you may find out that many of your users often pause a video, then you wonder how each individual user behaved so you can better understand the why.

  

  The audience log shows you a detailed log of every visitor. You can chronologically see every action a visitor has performed during their whole visit. If you click on the visitor profile link, you can even see all visits of a specific visitor, and all actions they have ever performed on your website.

  This lets you ultimately debug and understand your visitors and see exactly which actions they performed before playing your media, which media they played, how they played your media, and how they behaved after playing your media.

  The visitor log of course also shows important information about each visitor like where they came from (referrer), their location, software, device and much more information.

  Audience Map

  The Audience Map is similar to the Real-Time Map but it shows you the locations of your visitors based on a selected date range and not in real time. The darker the blue, the more visitors from that country, region or city have interacted with your media.

  

  Coming in part 2

  In the next part we will cover which video, audio and media player reports Media Analytics provides, how segmenting gives you insights into different personas, and how nicely it integrates into Piwik.

  How to get Media Analytics and related features

  You can get Media Analytics on the Piwik Marketplace. If you want to learn more about this feature, you might be also interested in the Media Analytics User Guide and the Media Analytics FAQ.

• ffmpeg DASH encoding : always getting bitrate as 200k for vp9 codec

  29 novembre 2019, par Saurabh

  I am using following command, earlier put here : to generate DASH files :

  ffmpeg -y -nostdin -loglevel error -i "$1" \
  
          -map 0:v:0  -map 0:v:0 -map 0:v:0  -map 0:v:0  -map 0:v:0  -map 0:v:0 -map 0:a\?:0  \
  
          -maxrate:v:0 350k -bufsize:v:0 700k -c:v:0 libx264 -filter:v:0 "scale=320:-2"  \
  
          -maxrate:v:1 1000k -bufsize:v:1 2000k -c:v:1 libx264 -filter:v:1 "scale=640:-2"  \
  
          -maxrate:v:2 3000k -bufsize:v:2 6000k -c:v:2 libx264 -filter:v:2 "scale=1280:-2" \
  
          -maxrate:v:3 300k -minrate:v:3 100k -bufsize:v:3 600k -c:v:3 libvpx-vp9 -filter:v:3 "scale=320:-2"  \
  
          -maxrate:v:4 1088k -minrate:v:4 200k -bufsize:v:4 2176k -c:v:4 libvpx-vp9 -filter:v:4 "scale=640:-2"  \
  
          -maxrate:v:5 1500k -minrate:v:5 300k -bufsize:v:5 3000k -c:v:5 libvpx-vp9 -filter:v:5 "scale=1280:-2"  \
  
          -use_timeline 1  -use_template 1 -adaptation_sets "id=0,streams=0,1,2 id=1,streams=3,4,5 id=2,streams=a" \
  
          -threads 8 -crf 3 -seg_duration 5 -hls_init_time 1 -hls_time 5 -hls_playlist true -f dash "$2"

  The issue is, in the output, I always get bandwidth as 200k for vp9 codec(see output below), while for same video bandwidth for h264 codec varies as par resolution and quite less, I expected vp9 to be even less as it compresses more. I have tested using multiple different options like : -b:v, -deadline, -cpu-used -crf, etc, but not working expected with different values of these, What am I missing ?

  Sample output mpd file :

  <?xml version="1.0" encoding="utf-8"?>
  
  <mpd xmlns="urn:mpeg:dash:schema:mpd:2011" profiles="urn:mpeg:dash:profile:isoff-live:2011" type="static" mediapresentationduration="PT25.4S" minbuffertime="PT15.0S">
  
      <programinformation>
  
      </programinformation>
  
      <period start="PT0.0S">
  
          <adaptationset contenttype="video" segmentalignment="true" bitstreamswitching="true" lang="und">
  
              <representation mimetype="video/mp4" codecs="avc1.64000c" bandwidth="104972" width="320" height="180" framerate="24000/1001">
  
                  <segmenttemplate timescale="24000" initialization="init-stream$RepresentationID$.m4s" media="chunk-stream$RepresentationID$-$Number%05d$.m4s" startnumber="1">
  
                      <segmenttimeline>
  
                          <s t="0" d="130130"></s>
  
                          <s d="250250"></s>
  
                          <s d="176176"></s>
  
                          <s d="54054"></s>
  
                      </segmenttimeline>
  
                  </segmenttemplate>
  
              </representation>
  
              <representation mimetype="video/mp4" codecs="avc1.64001e" bandwidth="227233" width="640" height="360" framerate="24000/1001">
  
                  <segmenttemplate timescale="24000" initialization="init-stream$RepresentationID$.m4s" media="chunk-stream$RepresentationID$-$Number%05d$.m4s" startnumber="1">
  
                      <segmenttimeline>
  
                          <s t="0" d="130130"></s>
  
                          <s d="250250"></s>
  
                          <s d="180180"></s>
  
                          <s d="50050"></s>
  
                      </segmenttimeline>
  
                  </segmenttemplate>
  
              </representation>
  
              <representation mimetype="video/mp4" codecs="avc1.64001f" bandwidth="616878" width="1280" height="720" framerate="24000/1001">
  
                  <segmenttemplate timescale="24000" initialization="init-stream$RepresentationID$.m4s" media="chunk-stream$RepresentationID$-$Number%05d$.m4s" startnumber="1">
  
                      <segmenttimeline>
  
                          <s t="0" d="130130"></s>
  
                          <s d="250250"></s>
  
                          <s d="180180"></s>
  
                          <s d="50050"></s>
  
                      </segmenttimeline>
  
                  </segmenttemplate>
  
              </representation>
  
          </adaptationset>
  
          <adaptationset contenttype="video" segmentalignment="true" bitstreamswitching="true" lang="und">
  
              <representation mimetype="video/mp4" codecs="vp09.00.11.08" bandwidth="200000" width="320" height="180" framerate="24000/1001">
  
                  <segmenttemplate timescale="24000" initialization="init-stream$RepresentationID$.m4s" media="chunk-stream$RepresentationID$-$Number%05d$.m4s" startnumber="1">
  
                      <segmenttimeline>
  
                          <s t="0" d="128128" r="3"></s>
  
                          <s d="98098"></s>
  
                      </segmenttimeline>
  
                  </segmenttemplate>
  
              </representation>
  
              <representation mimetype="video/mp4" codecs="vp09.00.21.08" bandwidth="200000" width="640" height="360" framerate="24000/1001">
  
                  <segmenttemplate timescale="24000" initialization="init-stream$RepresentationID$.m4s" media="chunk-stream$RepresentationID$-$Number%05d$.m4s" startnumber="1">
  
                      <segmenttimeline>
  
                          <s t="0" d="128128" r="3"></s>
  
                          <s d="98098"></s>
  
                      </segmenttimeline>
  
                  </segmenttemplate>
  
              </representation>
  
              <representation mimetype="video/mp4" codecs="vp09.00.31.08" bandwidth="200000" width="1280" height="720" framerate="24000/1001">
  
                  <segmenttemplate timescale="24000" initialization="init-stream$RepresentationID$.m4s" media="chunk-stream$RepresentationID$-$Number%05d$.m4s" startnumber="1">
  
                      <segmenttimeline>
  
                          <s t="0" d="128128" r="3"></s>
  
                          <s d="98098"></s>
  
                      </segmenttimeline>
  
                  </segmenttemplate>
  
              </representation>
  
          </adaptationset>
  
          <adaptationset contenttype="audio" segmentalignment="true" bitstreamswitching="true" lang="eng">
  
              <representation mimetype="audio/mp4" codecs="mp4a.40.2" bandwidth="128000" audiosamplingrate="44100">
  
                  <audiochannelconfiguration schemeiduri="urn:mpeg:dash:23003:3:audio_channel_configuration:2011" value="2"></audiochannelconfiguration>
  
                  <segmenttemplate timescale="44100" initialization="init-stream$RepresentationID$.m4s" media="chunk-stream$RepresentationID$-$Number%05d$.m4s" startnumber="1">
  
                      <segmenttimeline>
  
                          <s t="0" d="235520" r="3"></s>
  
                          <s d="180224"></s>
  
                      </segmenttimeline>
  
                  </segmenttemplate>
  
              </representation>
  
          </adaptationset>
  
      </period>
  
  </mpd>

  I am using this video, but it is coming same for all 30 sec video I have tried.

• Call for Speakers : Share Your Voice at MatomoCamp 2025 !

  10 juillet, par Alex Carmona

  MatomoCamp is back for its 2025 edition — and the Call for Speakers is now open until July 31st !

  As proud sponsors of this unique, community-driven event, we’re excited to invite experts, enthusiasts, and curious minds to contribute to MatomoCamp 2025, the annual online gathering dedicated to web analytics, open source, digital privacy, and of course — Matomo. MatomoCamp is the premier free online conference for the Matomo Analytics community in Europe, sponsored by Matomo Analytics. Taking place online on Wednesday 26 November 2025 from 9:30 AM to 5:30 PM CET, this event brings together professionals passionate about ethical analytics, data privacy, and building a better web.

  Whether you’re a long-time user, developer, marketer, researcher, or just someone with a fresh perspective on ethical analytics, your voice belongs at MatomoCamp. Last year, we welcomed over 1,000 attendees from around the world. This year, we’re aiming even higher with an expanded programme designed to serve everyone from analytics beginners to enterprise architects.

  What is MatomoCamp ?

  MatomoCamp is a free, fully online event bringing together the global Matomo community. Across two days of talks, panels, demos, and workshops, participants explore :

  • Web analytics & measurement
  • Digital marketing & SEO
  • Open source projects & collaboration
  • Privacy-first data strategies
  • Case studies, experiments, and more

  With sessions in English, French, German, and beyond, MatomoCamp aims to make digital analytics more accessible, ethical, and transparent for everyone.

  MatomoCamp returns this November 2025 with an exciting new vision. For the first time, we’re expanding beyond purely technical content to welcome speakers from all backgrounds who can contribute insights on analytics, privacy, marketing, and the ethical web. Whether you’re a developer, marketer, analyst, or privacy advocate, we want to hear from you.

  Who can apply ?

  Anyone ! We’re looking for people from all backgrounds who want to share :

  • A practical tip or use case with Matomo
  • Insights into digital analytics, privacy, or open source
  • A success (or failure !) story from your own journey
  • A workshop or hands-on demonstration
  • A bold opinion on the future of web data
  • A behind-the-scenes look at your work or research

  You don’t have to be a professional speaker. We welcome first-time speakers, underrepresented voices, and community members who want to share something valuable — no matter how niche or broad.

  What makes a great talk ?

  There’s no one right formula. But here’s what works well :

  • Real-world experience
  • Specific, actionable insights
  • A clear structure (15–45 minutes)
  • Something you care deeply about
  • A story only you can tell

  And remember — this isn’t just about Matomo. Topics that touch on ethical analytics, open source values, or digital sovereignty are more than welcome.

  Key info

  • Where : Online (free & open to all)
  • When : November 2025 (exact dates to be announced)
  • Languages : English, French, German (other languages welcome !)
  • Deadline to apply : July 31, 2025
  • Submit your talk here

  Why does this matter ?

  At Matomo, we believe that data should empower, not exploit. MatomoCamp is more than just an event — it’s a celebration of what’s possible when communities come together to build a better digital future.

  As sponsors, we’re proud to support this independent, open source event. But more importantly, we want to amplify your voice — because every perspective shared brings us closer to a more ethical, transparent, and inclusive analytics ecosystem.

  Have a story to share ?

  Don’t overthink it. If it matters to you, it will matter to someone else. Apply to speak before July 31st and join us at MatomoCamp 2025 !

  Submit your session here !

  Let’s build the future of analytics — together.