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• How you can use the Piwik AOM plugin to improve your data and make better online marketing decisions

  13 septembre 2017, par André Kolell — Plugins, AdWords, Bing, Case Study, Criteo, eccommerce tracking, Facebook Ads, how to install piwik analytics, how-to piwik, integration, piwik, Taboola

  Hi, this is André, one of the authors of the Piwik Advanced Online Marketing plugin, which has just hit 5,000 downloads on the Piwik marketplace. In this blog post I’ll show you how Piwik AOM improves your data and enables you to make better online marketing decisions.

  Piwik itself is excellent in tracking all kinds of visitor data, like where a visitor is coming from and what he’s doing on your page or app (pageviews, events, conversions). But what Piwik did not yet take a closer a look at, is how much you’ve invested into your marketing activities and how profitable they are.

  With the Piwik AOM plugin you can integrate data like advertising costs, advertising campaign names, ad impressions etc. from advertising platforms (such as Google AdWords, Microsoft Bing, Criteo, Facebook Ads and Taboola) and individual campaigns (such as such as cost per view/click/acquisition and fixed price per months deals) into Piwik and combine that data with individual Piwik visits.

  Piwik AOM adds a new marketing performance report to Piwik giving you a great overview of all your marketing activities with drill-down functionality :

  

   

  When taking a look at a specific visitor, Piwik AOM shows you the exact cost of acquiring a specific visit :

  

   

  Leveraging Piwik AOM’s full potential

  But although you can access Piwik AOM’s valuable data directly in the Piwik UI for ad-hoc analyses, Piwik AOM’s true strength comes into play when working with the raw data in an external business intelligence application of your choice, where you can further integrate Piwik AOM’s data with your most accurate backend data (like conversion’s contribution margins after returns, new vs. existing customer, etc.).

  Piwik AOM offers some API endpoints that allow you to fetch the data you need but you can also retrieve it directly from Piwik AOM’s aom_visits table, which includes all visits, all allocated advertising costs and advertising campaign details. As there is never data being deleted from aom_visits, the table can easily be connected to your ETL tool with its last update timestamp column. A third way to get data out of Piwik AOM is by developing your own Piwik plugin and listening to the AOM.aomVisitAddedOrUpdated event, which is posted whenever an aom_visits record is added or updated.

  Integrating Piwik AOM’s data with your backend data in the business intelligence application of your choice allows you to evaluate the real performance of your online marketing campaigns when applying different conversion attribution models, conduct customer journey analyses, create sophisticated forecasts and whatever you can think of.

  AOM Use case

  A company that followed this approach, is FINANZCHECK.de, one of Germany’s leading loan comparison websites. At the eMetrics summit 2016 in Berlin, Germany, I gave a talk about FINANZCHECK’s architectural online marketing setup. Until recently, FINANZCHECK used Pentaho data integration to integrate data from Piwik, Piwik AOM and additional internal tools like its proprietary CRM software into Jaspersoft, its data warehouse an BI solution. The enriched data in Jaspersoft was not only used for reporting to various stakeholders but also for optimising all kinds of marketing activities (e.g. bids for individual keywords in Google AdWords) and proactive alerting. Not long ago, FINANZCHECK started an initiative to improve its setup even further – I’ll hopefully be able to cover this in a more detailed case study soon.

  Roadmap

  In the past, we had the chance to make great progress in developing this plugin by solving specific requirements of different companies who use Piwik AOM. During the next months, we plan to integrate more advertising platforms, reimplement Facebook Ads, improve the support of individual campaigns and work on the general plugin stability and performance.

  Before you install Piwik AOM

  Before installing Piwik AOM, you should know that its initial setup and even its maintenance can be quite complex. Piwik AOM will heavily modify your Piwik installation and you will only benefit from Piwik AOM if you are willing to invest quite some time into it.

  If you are not familiar with Piwik’s internals, PHP, MySQL, database backups, cronjobs, creating API accounts at the advertising platforms or adding parameters to your advertising campaign’s URLs, you should probably not install it on your own (at least not in your production environment).

  Piwik AOM has successfully been tested with up to 25k visitors a day for a period of more than two years, running on an AWS server with 4 GB RAM, once CPU and a separate AWS RDS MySQL database.

  Ideas and Support

  If you have ideas for new features or need support with your Piwik AOM installation or leveraging your marketing data’s potential in general, feel free to get in touch with the plugin’s co-author Daniel or me. You can find our contact details on the plugin’s website http://www.advanced-online-marketing.com.

  How to get the Piwik AOM plugin ?

  The Piwik AOM plugin is freely available through the Piwik marketplace at https://plugins.piwik.org/AOM

  Did you like this article ? If yes do not hesitate to share it or give your feedback about the topic you would like us to write about.

• MP4 moof fragment headers

  23 juillet 2019, par Ariana

  I have a MP4 parser software that get’s a fragmented .mp4 video, parses the MOOV and fragment headers and streams it. I have generated a .mp4 file myself using FFMPEG and MP4Box/bento4, but the software has problems processing it.

  ffmpeg -i input.mp4 -g 25 -c:v libx264 -c:a copy out1.mp4
  
  
  
  mp4fragment out1.mp4 --fragment-duration 1000 --track 'video' output.mp4

  Using the MP4 Explorer software, I noticed in my generated .mp4 file, for all moof.traf.trun, sample duration is set to 0, but in the Track Fragment Header box, it sets the default_sample_duration to 512. While in the another .mp4 file which works fine, there is no default_sample_duration field, but each individual sample has a duration of size 512. Looks like this might cause the problem. The right figure shows the working mp4, and the left one is my generated mp4.

  Is this an update in the newer versions of FFMPEG (or MP4Box or bento4) ? Is there any ways to force setting the sample duration in samples ?

  My .mp4 file

  The working .mp4 file

  

• Trying to load a .mp4 Video fails using open CV

  19 février 2017, par Ichor de Dionysos

  I’ve installed ffmpeg and opencv on my linux server, like that :

  git clone 
  
  cd FFmpeg
  
  ./configure --enable-shared
  
  make
  
  sudo make install
  
  
  
  sudo apt-get install build-essential
  
  sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
  
  sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
  
  
  
  git clone 
  
  cmake <path to="" the="" opencv="" source="" directory="">
  
  mkdir release
  
  cd release
  
  cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
  
  make
  
  sudo make install
  
  </path>

  I wrote a little Python script :

  import cv2
  
  cap = cv2.VideoCapture('video.mp4')
  
  total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))

  But I’m not able to load that video and total_frames are always 0.

  I did some research why this doesn’t work and found tons of answers tried so many ways to install it, but it didn’t work for me.

  What did I do wrong ? Am I missing some detail ?

  I’m really annoyed and from installing it

  EDIT :

  When cmake opencv, it shows me this :

  --   Video I/O:                                                              
  
  --     DC1394 1.x:                  NO                                       
  
  --     DC1394 2.x:                  YES (ver 2.2.1)                          
  
  --     FFMPEG:                      YES                                      
  
  --       avcodec:                   YES (ver 57.80.101)                      
  
  --       avformat:                  YES (ver 57.66.102)                      
  
  --       avutil:                    YES (ver 55.47.100)                      
  
  --       swscale:                   YES (ver 4.3.101)                        
  
  --       avresample:                YES (ver 1.0.1)                          
  
  --     GStreamer:                   NO                                       
  
  --     OpenNI:                      NO                                       
  
  --     OpenNI PrimeSensor Modules:  NO                                       
  
  --     OpenNI2:                     NO                                       
  
  --     PvAPI:                       NO                                       
  
  --     GigEVisionSDK:               NO                                       
  
  --     Aravis SDK:                  NO                                       
  
  --     UniCap:                      NO                                       
  
  --     UniCap ucil:                 NO                                       
  
  --     V4L/V4L2:                    NO/YES                                   
  
  --     XIMEA:                       NO                                       
  
  --     Xine:                        NO                                       
  
  --     gPhoto2:                     NO

  So ffmpeg should be usable, right ?

  EDIT 2 :

  After reinstall on a fresh new VM I get this error :

  [mp3 @ 0x1dbb2a0] Header missing
  
  [mp3 @ 0x1dbb2a0] Header missing
  
  Unable to stop the stream: Inappropriate ioctl for device
  
  (python:17171): GLib-GObject-CRITICAL **: g_object_set: assertion 'G_IS_OBJECT (object)' failed