Recherche avancée

Sur d’autres sites (9160)

• 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.

• FFMPEG being killed when processing H264 video

  4 mai 2017, par Stuart Clarke

  I have a program that when given a video (video.mp4), extracts the audio, a thumbnail image and the video into separate files, adds some background music to the audio file to create a new file (combined.mp3), increases the resolution of the video to 1080p and saves to a new file (videoHD.mp4), adds intro and credits to the start and end (already in 1080p) and saves that to a new file (merged.mp4) and finally combines the processed video and audio into an output file (videoExt.mp4). I’m using ffmpeg through python and subprocess.call to do all this but the raw ffmpeg commands are as follows.

  ffmpeg -y -i video.mp4 -acodec mp3 audioTrack.mp3
  
  
  
  ffmpeg -y -ss 00:00:00 -i video.mp4 -vframes 1 -q:v 2 thumb.jpg
  
  
  
  ffmpeg -y -i video.mp4 -an videoTrack.mp4
  
  
  
  ffmpeg -y -i audioTrack.mp3 -i musicTrack.mp3 -filter_complex amerge -c:a libmp3lame -q:a 4 combined.mp3
  
  
  
  ffmpeg -y -i videoTrack.mp4 -vf 'scale=1920:1080:force_original_aspect_ratio=decrease,pad=1920:1080:x=(1920-iw)/2:y=(1080-ih)/2:color=black' videoHD.mp4
  
  
  
  ffmpeg -y -f concat -i vids.ini -an merged.mp4
  
  
  
  ffmpeg -y -i merged.mp4 -i combined.mp3 -strict -2 -shortest videoExt.mp4

  Between extracting the audio and combining with the music I add a silent period matching the intro length to the beginning for the audio and lower the volume of the music for the duration of the video section and crop the music to the length of the combined intro, video and credits. This is all done with AudioSegment and works well.

  My problem is that the ffmpeg process keeps being killed. It happens in various places at various times, but always when processing the video at 1080p. I’m sure it has something to do with the H264 codec but when I use mpeg4 the quality is terrible. The videos are always less than a minute (Instagram videos) and at most 25Mb, I’m using a VPS with Ubuntu Server 15.04 installed, it should be able to handle this surely. If not is there a way around it, processing the video in parts ?

  Here is an example of the error but as I said, it can happen in various places and sometimes will complete for one command but I have never had it complete for all.

  # ffmpeg -y -f concat -i vids.ini -an merged.mp4
  
  
  
  ffmpeg version 2.5.10-0ubuntu0.15.04.1 Copyright (c) 2000-2016 the FFmpeg developers
  
    built with gcc 4.9.2 (Ubuntu 4.9.2-10ubuntu13)
  
    configuration: --prefix=/usr --extra-version=0ubuntu0.15.04.1 --build-suffix=-ffmpeg --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --shlibdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --enable-gpl --enable-shared --disable-stripping --enable-avresample --enable-avisynth --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmodplug --enable-libmp3lame --enable-libopenjpeg --enable-libopus --enable-libpulse --enable-libschroedinger --enable-libshine --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libwavpack --enable-libwebp --enable-libxvid --enable-opengl --enable-x11grab --enable-libdc1394 --enable-libiec61883 --enable-libzvbi --enable-libzmq --enable-frei0r --enable-libvpx --enable-libx264 --enable-libsoxr --enable-gnutls --enable-openal --enable-libopencv --enable-librtmp --enable-libx265
  
    libavutil      54. 15.100 / 54. 15.100
  
    libavcodec     56. 13.100 / 56. 13.100
  
    libavformat    56. 15.102 / 56. 15.102
  
    libavdevice    56.  3.100 / 56.  3.100
  
    libavfilter     5.  2.103 /  5.  2.103
  
    libavresample   2.  1.  0 /  2.  1.  0
  
    libswscale      3.  1.101 /  3.  1.101
  
    libswresample   1.  1.100 /  1.  1.100
  
    libpostproc    53.  3.100 / 53.  3.100
  
  Input #0, concat, from 'vids.ini':
  
    Duration: N/A, start: 0.000000, bitrate: 2999 kb/s
  
      Stream #0:0: Video: h264 (High) (avc1 / 0x31637661), yuv420p, 1920x1080 [SAR 1:1 DAR 16:9], 2996 kb/s, 29.97 fps, 29.97 tbr, 11988 tbn, 59.94 tbc
  
      Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 2 kb/s
  
  [libx264 @ 0x134fd00] using SAR=1/1
  
  [libx264 @ 0x134fd00] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX
  
  [libx264 @ 0x134fd00] profile High, level 4.0
  
  [libx264 @ 0x134fd00] 264 - core 142 r2495 6a301b6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2014 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=6 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
  
  Output #0, mp4, to 'merged.mp4':
  
    Metadata:
  
      encoder         : Lavf56.15.102
  
      Stream #0:0: Video: h264 (libx264) ([33][0][0][0] / 0x0021), yuv420p, 1920x1080 [SAR 1:1 DAR 16:9], q=-1--1, 29.97 fps, 11988 tbn, 29.97 tbc
  
      Metadata:
  
        encoder         : Lavc56.13.100 libx264
  
  Stream mapping:
  
    Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))
  
  Press [q] to stop, [?] for help
  
  frame=   13 fps=0.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=1 dro
  
  frame=   28 fps= 27 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=1 dro
  
  frame=   46 fps= 21 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=1 dro
  
  frame=   51 fps= 16 q=29.0 size=     120kB time=00:00:00.-3 bitrate=N/A dup=1 dr
  
  frame=   55 fps= 15 q=29.0 size=     154kB time=00:00:00.10 bitrate=12574.5kbits
  
  frame=   60 fps= 14 q=29.0 size=     195kB time=00:00:00.26 bitrate=5981.0kbits/
  
  frame=   65 fps= 13 q=29.0 size=     254kB time=00:00:00.43 bitrate=4797.0kbits/
  
  frame=   69 fps= 12 q=29.0 size=     287kB time=00:00:00.56 bitrate=4142.1kbits/
  
  frame=   73 fps= 12 q=29.0 size=     375kB time=00:00:00.70 bitrate=4384.2kbits/
  
  frame=   76 fps= 11 q=29.0 size=     418kB time=00:00:00.80 bitrate=4278.4kbits/
  
  frame=   81 fps= 11 q=29.0 size=     441kB time=00:00:00.96 bitrate=3732.4kbits/
  
  frame=   85 fps= 10 q=29.0 size=     472kB time=00:00:01.10 bitrate=3511.0kbits/
  
  Killed1 drop=0 

  Any ideas or if anyone knows a better way to this please let me know.

  Cheers,

  Stu

• Merge commit '95f1004bdfdf2d26c330c1d4b7c4ac9352d60b18'

  20 mai 2017, par Clément Bœsch

  Merge commit '95f1004bdfdf2d26c330c1d4b7c4ac9352d60b18'
  * commit '95f1004bdfdf2d26c330c1d4b7c4ac9352d60b18' :
  
    dashenc : add mandatory id to AdaptationSet and Period in manifest
  Merged-by : Clément Bœsch <u@pkh.me>
  

  • [DH] libavformat/dashenc.c