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• Tracking User Acquisition and Social Media Activity with Piwik

  25 avril 2017, par Florian Hieß — Community

  Being able to monitor user acquisition and social media activity is essential for determining whether the outcome of your campaigns is in line with the business objectives. Determining the source of each website visit that gets you closer to your business goals enables you to focus your efforts in the directions that are worth it. In this article you will learn why it is important to identify your traffic sources and how you can track user acquisition with Piwik Analytics.

  Why Is It Important to Identify Traffic Sources on Your Website ?

  Since brands nowadays use multiple channels for promotion and advertising, identifying the touch points and traffic sources of a lead or customer seems to become more and more difficult. And yet, this channel multiplication is what makes the source of a purchase more important. Once you identify the traffic origin and how each source is performing you are able to increase your efforts on the best performers, both in terms of human resources and monetary investments, to attract more leads or customers in these marketing channels.

  The default referrer types are defined by :

  • Search engine
  • Direct traffic
  • Websites and
  • Campaigns

  But consider that within the “Campaigns” type, each of the following referrers is a possible traffic source for your website and can be tracked with the Piwik URL builder :

  • Google AdWords
  • Display Ads, Banners
  • Links in Newsletters, Emailing
  • Affiliate links
  • Tweets
  • Facebook Ads

  Measure your performance and conversion

  With so many options, wouldn’t you like to know which one of them worked best ? To rate channels based on their performance, you first need to establish conversion goals and attribution.

  A conversion can be anything from sign-ups or downloads to leads, registered users and even paying customers. Define conversions based on what you want people to do once they’ve landed on your website.

  

  You need to define each conversion type in the Piwik dashboard, so that the analytics platform knows what to track. As far as attribution goes, Piwik by default links the conversion and attributes to the last seen (non-direct) referrer. You are able to change that to the first referrer in the attribution line by following the instructions in this conversion attribution FAQ.

  Track Your User Acquisition Right with Piwik

  Using the Piwik URL Builder tool, you can tag each URL you promote in your campaigns using relevant keywords. Provided that your URLs are tagged, whenever someone clicks on them, the campaign will be listed as the referrer in the Piwik dashboard. Once you’ve generated trackable URLs, you can include them in your social media posts which could be planned and scheduled using a social media management tool such as Swat.io.

  

  Campaign URLs work wonders for telling which campaign helped you reach your goals faster, more efficiently and so on but they do have a downside. They only work for URLs that you’ve shared. If someone decides to share a link of yours on social media they won’t be tagged beforehands. This is where the Referrers section of Piwik comes in handy, as it acts as a backup for tracking traffic sources. The overview tab features a graph that can help you identify when spikes occurred.

  

  As well as a numerical representation of the main referrer categories for the selected time period.

  

  Switching from Overview to Websites & Social, you can see a graphical representation of the social networks acting as referrers. The visualization can be changed to bar graphs or table, and can be easily exported in various formats for reports.

  

  The websites list features not only the social referrers, but all of the websites generating visits to your website. With Piwik you should not have issues with referrer spam, as the Piwik core team has tackled this problem early on, as detailed in how to stop referrer spam. Our analytics spam blacklist is a public project on GitHub.

  

  Assuming that you’re relying only on Facebook and VK.com for your campaigns, as the above screenshot would suggest, you might want to give paid advertising a try on these two social networks. Paid ads can increase reach and engagement, can get more relevant visitors to your website and can have a snowball effect in a short period of time.

  What Social Networks Can Piwik Track ?

  Piwik’s built-in social network list is quite extensive, as it currently features 70 platforms. The entries range from popular social networks such as Facebook, Twitter and LinkedIn to more obscure ones such as Renren. However, this list is not available by default, and to see it or alter it, you would need a third-party plugin.

  How Does the Referrers Manager Plugin for Piwik Work ?

  The Referrers Manager plugin for Piwik provides access to the list of search engines and social networks that this analytics platform can handle by default. The simple plugin can come in handy when sorting out referrers. First of all, it displays a list of all search engines and social networks that Piwik can handle by default. Secondly, it enables users to disable/enable the platform’s default social network list. And using Referrers Manager, you can add custom engines or social networks to the referrers list in case they’re not already available.

  

  Conclusions

  Piwik is a very capable analytics platform as it is, but combined with third-party plugins such as Referrers Manager, it can provide even better insights on where your visitors are coming from. Remember to correlate the referrers with goals in order to determine which website or social network performs best in your context. And don’t forget to assign a monetary revenue value to each goal, in order to determine your social media ROI with greater accuracy.

• How to successfully parse the output of FFMpeg in NodeJS

  22 mai 2017, par Danny SMc

  So I have seen a lot of topics on FFMPeg and it’s a great tool I learnt about today, but I have spent the day perfecting the command and now am a little stuck with the NodeJS part.

  In essence the command does the following : take input from a Mac OSX webcam, and then stream it to a web-socket. Now I looked at a lot of the NodeJS libraries but I couldn’t find one that did what I need ; or did not understand how to. Here is an example of the command that I am using :

  ffmpeg -f avfoundation -framerate 30 -video_size 640x480 -pix_fmt uyvy422 -i "0:1" -f mpegts -codec:v mpeg1video -s 640x480 -b:v 1000k -bf 0 http://localhost:8081/stream

  This does everything I need for the streaming side of things, but I wish to call it via NodeJS, and then be able to monitor the log, and parse the data that comes back for example :

  frame= 4852 fps= 30 q=6.8 size=   30506kB time=00:02:41.74 bitrate=1545.1kbits/s speed=   1x    \r

  and use it to get a JSON array back for me to output to a webpage.

  Now all I am doing is working on ways of actually parsing the data, and I have looked at lots of other answers for things like this, but I can’t seem to split/replace/regex it. I can’t get anything but a long string from it.

  Here is the code I am using (NodeJS) :

  var ffmpeg = require('child_process').spawn('/usr/local/Cellar/ffmpeg/3.3.1/bin/ffmpeg', ['-f', 'avfoundation', '-framerate', '30', '-video_size', '640x480', '-pix_fmt', 'uyvy422', '-i', '0:1', '-f', 'mpegts', '-codec:v', 'mpeg1video', '-s', '640x480', '-b:v', '1000k', '-bf', '0', 'http://localhost:8081/test']);
  
  
  
  ffmpeg.on('error', function (err) {
  
      console.log(err);
  
  });
  
  
  
  ffmpeg.on('close', function (code) {
  
      console.log('ffmpeg exited with code ' + code);
  
  });
  
  
  
  ffmpeg.stderr.on('data', function (data) {
  
      // console.log('stderr: ' + data);
  
      var tData = data.toString('utf8');
  
      // var a = tData.split('[\\s\\xA0]+');
  
      var a = tData.split('\n');
  
      console.log(a);
  
  });
  
  
  
  ffmpeg.stdout.on('data', function (data) {
  
      var frame = new Buffer(data).toString('base64');
  
      // console.log(frame);
  
  });

  I have tried splitting with new lines, carridge return, spaces, tabs, but I just can’t seem to get a basic array of bits, that I can work with.

  Another thing to note, is you will notice the log comes back via stderr, I have seen this online and apparently it does it for a lot of people ? So I am not sure what the deal is with that ? but the code is is the sdterr callback.

  Any help is very appreciated as I am truly confused on what I am doing wrong.

  Thanks.

• FFMpeg How to use multithreading ?

  7 avril 2017, par Wu NL

  I want to decode H264 by ffmpeg, BUT finally I found the decode function only used one cpu core

  system monitor

  env : Ubuntu 14.04 FFMpeg 3.2.4 CPU i7-7500U

  ---

  So, I search ffmpeg multithreading and decide using all cpu cores for decoding.
  I set AVCodecContext as this :

  //Init works
  
  //codecId=AV_CODEC_ID_H264;
  
  avcodec_register_all();
  
  pCodec = avcodec_find_decoder(codecId);
  
  if (!pCodec)
  
  {
  
      printf("Codec not found\n");
  
      return -1;
  
  }
  
  pCodecCtx = avcodec_alloc_context3(pCodec);
  
  if (!pCodecCtx)
  
  {
  
      printf("Could not allocate video codec context\n");
  
      return -1;
  
  }
  
  
  
  pCodecParserCtx=av_parser_init(codecId);
  
  if (!pCodecParserCtx)
  
  {
  
      printf("Could not allocate video parser context\n");
  
      return -1;
  
  }
  
  pCodecCtx->thread_count = 4;
  
  pCodecCtx->thread_type = FF_THREAD_FRAME;
  
  
  
  pCodec->capabilities &= CODEC_CAP_TRUNCATED;
  
  pCodecCtx->flags |= CODEC_FLAG_TRUNCATED;
  
  
  
  if (avcodec_open2(pCodecCtx, pCodec, NULL) < 0)
  
  {
  
      printf("Could not open codec\n");
  
      return -1;
  
  }
  
  av_log_set_level(AV_LOG_QUIET);
  
  av_init_packet(&packet);

  ---

  //parse and decode
  
  //after av_parser_parse2, the packet has a complete frame data
  
  //in decode function, I just call avcodec_decode_video2 and do some frame copy work
  
  while (cur_size>0)
  
  {
  
      int len = av_parser_parse2(
  
                    pCodecParserCtx, pCodecCtx,
  
                    &packet.data, &packet.size,
  
                    cur_ptr, cur_size,
  
                    AV_NOPTS_VALUE, AV_NOPTS_VALUE, AV_NOPTS_VALUE);
  
  
  
      cur_ptr += len;
  
      cur_size -= len;
  
      if(GetPacketSize()==0)
  
          continue;
  
  
  
      AVFrame *pFrame = av_frame_alloc();
  
      int ret = Decode(pFrame);
  
      if (ret < 0)
  
      {
  
          continue;
  
      }
  
      if (ret)
  
      {
  
        //some works
  
      }
  
  }

  But nothing different with before.
  How can I use multithreading in FFMpeg ? Any advise ?