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  • Installation en mode ferme

    4 février 2011, par

    Le mode ferme permet d’héberger plusieurs sites de type MediaSPIP en n’installant qu’une seule fois son noyau fonctionnel.
    C’est la méthode que nous utilisons sur cette même plateforme.
    L’utilisation en mode ferme nécessite de connaïtre un peu le mécanisme de SPIP contrairement à la version standalone qui ne nécessite pas réellement de connaissances spécifique puisque l’espace privé habituel de SPIP n’est plus utilisé.
    Dans un premier temps, vous devez avoir installé les mêmes fichiers que l’installation (...)

  • Déploiements possibles

    31 janvier 2010, par

    Deux types de déploiements sont envisageable dépendant de deux aspects : La méthode d’installation envisagée (en standalone ou en ferme) ; Le nombre d’encodages journaliers et la fréquentation envisagés ;
    L’encodage de vidéos est un processus lourd consommant énormément de ressources système (CPU et RAM), il est nécessaire de prendre tout cela en considération. Ce système n’est donc possible que sur un ou plusieurs serveurs dédiés.
    Version mono serveur
    La version mono serveur consiste à n’utiliser qu’une (...)

  • Submit bugs and patches

    13 avril 2011

    Unfortunately a software is never perfect.
    If you think you have found a bug, report it using our ticket system. Please to help us to fix it by providing the following information : the browser you are using, including the exact version as precise an explanation as possible of the problem if possible, the steps taken resulting in the problem a link to the site / page in question
    If you think you have solved the bug, fill in a ticket and attach to it a corrective patch.
    You may also (...)

Sur d’autres sites (4168)

  • 4 ways to create more effective funnels

    24 février 2020, par Jake Thornton — Uncategorized

    Accurately measuring the success of your customer’s journey on your website is vital to increasing conversions and having the best outcome for your business. When it comes to website analytics, the Funnels feature is the best place to start measuring each touch point in the customer journey. From here you’ll find out where you lose your visitors so you can make changes to your website and convert more in the future.

    The funnels feature lets you measure the steps (actions, events and pages) your users go through to reach the desired outcomes you want them to achieve. This gives you valuable insights into the desired journey for your customers. 

    When creating a funnel with the funnels feature, you anticipate the customer journey that you want to measure, for example : 

    Step 1 – Visitor lands on your homepage and sees the promotion you’re offering. 
    Step 2 – They click the call-to-action (CTA) button which leads them to information on the product
    Step 3 – They add the product to their cart
    Step 4 – They fill in their personal information and credit card details
    Step 5 – They click the “pay now” button

    From here you can see exactly how many visitors you lose between each step. Then you can implement new techniques to decrease these drop-offs and evaluate the success of your changes over time.

    But what about the non-conventional routes to conversion ?

    That’s right, visitors can end up in all different directions on your website. It’s important to use other features in Matomo to discover these popular pathways your visitors may be taking before the point of conversion.

    Here are 4 Matomo features for discovering important alternative funnels on your website :

    The transitions feature lets you visualise mini funnels on selected pages. You can see how visitors landed on a specific page, and then where they moved on to from this specific page.

    First you need to identify the page(s) that sells your product or service the most. 

    Whether it’s your homepage, a product page or an information page on your services. The transitions feature will then show you the before and after pathways visitors are already taking to get from page to page

    The transitions feature is located under Behaviour – Pages. Find the important page you would like to analyse and click on the Transitions icon.

    In the example above, you’ll see 18% of visitors who entered from internal pages came from the homepage, which you may have already suspected as the first step in your conversion funnel.

    However, the exact same % of visitors are also entering through a blog post article called /best-of-the-best/

    In this case, it highlights the importance of creating funnels with popular blog posts as the first step in the funnel. Your visitors may have found this post through social media, a search engine etc. Whatever the case, your blog posts could be your biggest influencer for conversions on your website.

    >> Learn more about Transitions

    The overlay feature lets you see exactly where visitors are clicking on your landing pages which moves them either in the right or wrong direction in the conversion funnel. 

    If you see a high percentage of clicks to a page that’s off the beaten track from your desired conversion funnel, use the Funnels feature to follow this pathway and analyse how they get back to the pathway you initially intended them to take.

    The best thing about the page overlay feature is the visualisation showing the results on the landing page itself. This gives you an idea of where they may be getting distracted by the wrong content.

    You can locate the page overlay feature beside the transitions feature, shown in the screenshot below.

    The page overlay feature also gives you a summary of the pageviews, clicks, bounce rates, exit rates and average time spent on page, so you can measure the overall success of each page in the display menu.

    >> Learn more about Page Overlay

    If you’re looking to see many of the most popular pathways your visitors are taking all at once, then Users Flow is a powerful feature which shows this visualisation.

    Note : For Matomo On-Premise users, Users Flow is a premium feature. More information here.

    The thicker the blue line between interactions means the more popular the pathway is. 

    Here you can see how visitors are navigating their way through your website before converting, this presenting clear steps in the conversion funnel that require monitoring and improving on to ensure your efforts are going into the right areas on your website.

    >> Learn more about Users Flow

    Another important feature to use which is integrated within the funnels feature, is row evolution which shows you important changes in your user’s behaviour over time.

    Having row evolution integrated within the funnels feature gives you a big advantage as it lets you measure the specific metrics and landing pages within your conversion funnel.

    You’ll be able to see the increases and decreases in entries and exits to your landing page, as well as increases and decreases in the number of visitors who proceed to the next step in the funnel, and the conversion rate %.

    You’ll also be able to add annotations so you can note all the changes you make to your landing pages over time and quickly identify how these changes impacted your conversion funnels.

    >>Learn more about Row Evolution

    Continually create more and more funnels !

    Measuring the success of the desired pathway you want your customers to take is crucial to ensure you are presenting the best possible user experience for your visitors.

    However, creating funnels for the less desired pathways is equally important. This way you’ll discover popular journeys your visitors are taking within your website you weren’t previously aware of, and can monitor them to make sure they still work in the future. You’ll be able to fix pain points easier and find faster ways to get visitors back on the right track to converting.

  • Generating video from images and audio by FFmpeg

    24 mars 2020, par Cody

    I am new to FFmpeg and video/audio encoding. I try to use Fluent ffmpeg to generate a MP4 video from images and audio.

    There are 2 inputs only :

    If the audio duration is longer video length, just discard the excessive part of audio at the end.
    And all the images have to be shown in same duration.(i.e. The video should be in n/d FPS for n images and video with d second)

    Since the image input are not in number sequence, I use concat demuxer as input :

           let VIDEO_DURATION = 8;
           let ffmpeg = await FfmpegUtil.createCommand();
           let imageFiles: string[] = ["foo.jpg", "bar.jpg", ...]; //assume there are 67 image files
           let demuxerFile = await FfmpegUtil.createConcatDemuxerFile(imageFiles);
           let audioFile: string = "path/to/audio.wav";

           ffmpeg.input(demuxerFile)
               .inputOption(
                   "-f", "concat",
                   "-safe", "0",
               )
               .input(audioFile)
               .outputOption(
                   "-r", `${imageFiles.length}/${VIDEO_DURATION}`,
               )
               .duration(VIDEO_DURATION)
               .save("path/to/output.mp4")
           ;

    it will spawn a ffmpeg command :

    ffmpeg
       -f concat
       -safe 0
       -i path/to/demuxerFile.txt
       -i path/to/audio.wav
       -y
       -r 67/8
       -t 8
       path/to/output.mp4

    However the output file cannot be played.

    I also tried "-framerate", ${imageFiles.length}/${VIDEO_DURATION} in .outputOption(), it still output a file cannot be played and I found the frame rate always be 25 in its file property.

    Update 1 (added spawned command & ffmpeg console log) :

    spawned ffmpeg command & console log ("-r", `${imageFiles.length}/${VIDEO_DURATION}` as outputOption) :

    ffmpeg -f concat -safe 0 -i path/to/demuxerFile.txt -i path/to/audio.wav -y -r 67/8 -t 8 path/to/output_r.mp4

    ffmpeg version git-2020-01-26-5e62100 Copyright (c) 2000-2020 the FFmpeg developers
     built with gcc 9.2.1 (GCC) 20200122
     configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt --enable-amf
     libavutil      56. 38.100 / 56. 38.100
     libavcodec     58. 67.100 / 58. 67.100
     libavformat    58. 36.100 / 58. 36.100
     libavdevice    58.  9.103 / 58.  9.103
     libavfilter     7. 71.100 /  7. 71.100
     libswscale      5.  6.100 /  5.  6.100
     libswresample   3.  6.100 /  3.  6.100
     libpostproc    55.  6.100 / 55.  6.100
    Input #0, concat, from 'path/to/demuxerFile.txt':
     Duration: N/A, start: 0.000000, bitrate: N/A
       Stream #0:0: Video: mjpeg (Baseline), yuvj444p(pc, bt470bg/unknown/unknown), 4677x4677 [SAR 256:256 DAR 1:1], 25 tbr, 25 tbn, 25 tbc
    Guessed Channel Layout for Input Stream #1.0 : stereo
    Input #1, wav, from 'path/to/audio.wav':
     Metadata:
       artist          : TextAloud: IVONA Kimberly22
       date            : 2018
       genre           : Speech
       title           : 38750336.mp3
       album           : Created: 7/26/2018 4:56:13 PM
       encoder         : Lavf58.16.100
       encoded_by      : Lame MP3
     Duration: 00:00:15.57, bitrate: 705 kb/s
       Stream #1:0: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 22050 Hz, stereo, s16, 705 kb/s
    Stream mapping:
     Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))
     Stream #1:0 -> #0:1 (pcm_s16le (native) -> aac (native))
    Press [q] to stop, [?] for help
    [libx264 @ 000001e395041400] using SAR=1/1
    [libx264 @ 000001e395041400] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
    [libx264 @ 000001e395041400] profile High 4:4:4 Predictive, level 6.0, 4:4:4, 8-bit
    [libx264 @ 000001e395041400] 264 - core 159 - H.264/MPEG-4 AVC codec - Copyleft 2003-2019 - 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=4 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=8 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 'path/to/output_r.mp4':
     Metadata:
       encoder         : Lavf58.36.100
       Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuvj444p(pc, progressive), 4677x4677 [SAR 256:256 DAR 1:1], q=-1--1, 8.38 fps, 17152 tbn, 8.38 tbc
       Metadata:
         encoder         : Lavc58.67.100 libx264
       Side data:
         cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
       Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 22050 Hz, stereo, fltp, 128 kb/s
       Metadata:
         encoder         : Lavc58.67.100 aac
    frame=    3 fps=0.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
    frame=    5 fps=4.2 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=4 speed=   0x    
    frame=    6 fps=3.4 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=7 speed=   0x    
    frame=    8 fps=3.4 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=10 speed=   0x    
    frame=   10 fps=3.5 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=14 speed=   0x    
    frame=   11 fps=3.2 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=16 speed=   0x    
    frame=   13 fps=3.2 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=20 speed=   0x    
    frame=   14 fps=3.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=22 speed=   0x    
    frame=   16 fps=3.1 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=26 speed=   0x    
    frame=   17 fps=2.9 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=28 speed=   0x    
    frame=   18 fps=2.8 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=31 speed=   0x    
    frame=   20 fps=2.9 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=34 speed=   0x    
    frame=   21 fps=2.8 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=36 speed=   0x    
    frame=   23 fps=2.9 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=40 speed=   0x    
    frame=   24 fps=2.8 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=42 speed=   0x    
    frame=   24 fps=0.7 q=-1.0 Lsize=     752kB time=00:00:08.03 bitrate= 766.4kbits/s dup=0 drop=43 speed=0.22x    
    video:624kB audio:125kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.359236%
    [libx264 @ 000001e395041400] frame I:1     Avg QP:12.79  size:257554
    [libx264 @ 000001e395041400] frame P:15    Avg QP:13.10  size: 20487
    [libx264 @ 000001e395041400] frame B:8     Avg QP:13.10  size:  9231
    [libx264 @ 000001e395041400] consecutive B-frames: 45.8% 25.0% 12.5% 16.7%
    [libx264 @ 000001e395041400] mb I  I16..4: 18.4% 79.2%  2.4%
    [libx264 @ 000001e395041400] mb P  I16..4:  1.0%  3.3%  0.4%  P16..4:  1.0%  0.2%  0.2%  0.0%  0.0%    skip:93.9%
    [libx264 @ 000001e395041400] mb B  I16..4:  0.1%  0.2%  0.1%  B16..8:  1.8%  0.1%  0.0%  direct: 2.9%  skip:94.7%  L0:58.1% L1:40.2% BI: 1.7%
    [libx264 @ 000001e395041400] 8x8 transform intra:75.0% inter:82.7%
    [libx264 @ 000001e395041400] coded y,u,v intra: 6.1% 3.5% 4.4% inter: 0.2% 1.2% 0.5%
    [libx264 @ 000001e395041400] i16 v,h,dc,p: 80% 16%  3%  2%
    [libx264 @ 000001e395041400] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 46%  8% 44%  0%  0%  0%  0%  0%  0%
    [libx264 @ 000001e395041400] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 29% 27% 25%  3%  3%  3%  4%  3%  3%
    [libx264 @ 000001e395041400] Weighted P-Frames: Y:0.0% UV:0.0%
    [libx264 @ 000001e395041400] ref P L0: 75.6%  3.3% 14.8%  6.3%
    [libx264 @ 000001e395041400] ref B L0: 88.6% 10.7%  0.7%
    [libx264 @ 000001e395041400] ref B L1: 98.7%  1.3%
    [libx264 @ 000001e395041400] kb/s:1783.06
    [aac @ 000001e3951e7f80] Qavg: 55135.730

    spawned ffmpeg command & console log ("-framerate", `${imageFiles.length}/${VIDEO_DURATION}` as outputOption) :

    ffmpeg -f concat -safe 0 -i path/to/demuxerFile.txt -i path/to/audio.wav -y -framerate 67/8 -t 8 path/to/output_framerate.mp4

    ffmpeg version git-2020-01-26-5e62100 Copyright (c) 2000-2020 the FFmpeg developers
     built with gcc 9.2.1 (GCC) 20200122
     configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt --enable-amf
     libavutil      56. 38.100 / 56. 38.100
     libavcodec     58. 67.100 / 58. 67.100
     libavformat    58. 36.100 / 58. 36.100
     libavdevice    58.  9.103 / 58.  9.103
     libavfilter     7. 71.100 /  7. 71.100
     libswscale      5.  6.100 /  5.  6.100
     libswresample   3.  6.100 /  3.  6.100
     libpostproc    55.  6.100 / 55.  6.100
    Input #0, concat, from 'path/to/demuxerFile.txt':
     Duration: N/A, start: 0.000000, bitrate: N/A
       Stream #0:0: Video: mjpeg (Baseline), yuvj444p(pc, bt470bg/unknown/unknown), 4677x4677 [SAR 256:256 DAR 1:1], 25 tbr, 25 tbn, 25 tbc
    Guessed Channel Layout for Input Stream #1.0 : stereo
    Input #1, wav, from 'path/to/audio.wav':
     Metadata:
       artist          : TextAloud: IVONA Kimberly22
       date            : 2018
       genre           : Speech
       title           : 38750336.mp3
       album           : Created: 7/26/2018 4:56:13 PM
       encoder         : Lavf58.16.100
       encoded_by      : Lame MP3
     Duration: 00:00:15.57, bitrate: 705 kb/s
       Stream #1:0: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 22050 Hz, stereo, s16, 705 kb/s
    Stream mapping:
     Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))
     Stream #1:0 -> #0:1 (pcm_s16le (native) -> aac (native))
    Press [q] to stop, [?] for help
    [libx264 @ 000002460bda4740] using SAR=1/1
    [libx264 @ 000002460bda4740] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
    [libx264 @ 000002460bda4740] profile High 4:4:4 Predictive, level 6.0, 4:4:4, 8-bit
    [libx264 @ 000002460bda4740] 264 - core 159 - H.264/MPEG-4 AVC codec - Copyleft 2003-2019 - 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=4 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 'path/to/output_framerate.mp4':
     Metadata:
       encoder         : Lavf58.36.100
       Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuvj444p(pc, progressive), 4677x4677 [SAR 256:256 DAR 1:1], q=-1--1, 25 fps, 12800 tbn, 25 tbc
       Metadata:
         encoder         : Lavc58.67.100 libx264
       Side data:
         cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
       Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 22050 Hz, stereo, fltp, 128 kb/s
       Metadata:
         encoder         : Lavc58.67.100 aac
    frame=    3 fps=0.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
    frame=    6 fps=5.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
    frame=    9 fps=5.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
    frame=   12 fps=5.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
    frame=   14 fps=4.6 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
    frame=   16 fps=4.4 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
    frame=   18 fps=3.9 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
    frame=   20 fps=3.9 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
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    video:744kB audio:125kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.391708%
    [libx264 @ 000002460bda4740] frame I:1     Avg QP:15.80  size:216204
    [libx264 @ 000002460bda4740] frame P:29    Avg QP:15.19  size: 10747
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    [libx264 @ 000002460bda4740] consecutive B-frames: 17.9% 14.9% 31.3% 35.8%
    [libx264 @ 000002460bda4740] mb I  I16..4: 11.4% 86.0%  2.6%
    [libx264 @ 000002460bda4740] mb P  I16..4:  0.5%  1.9%  0.2%  P16..4:  0.7%  0.2%  0.1%  0.0%  0.0%    skip:96.5%
    [libx264 @ 000002460bda4740] mb B  I16..4:  0.1%  0.2%  0.0%  B16..8:  1.3%  0.2%  0.0%  direct: 0.7%  skip:97.5%  L0:57.4% L1:40.7% BI: 1.9%
    [libx264 @ 000002460bda4740] 8x8 transform intra:79.7% inter:31.4%
    [libx264 @ 000002460bda4740] coded y,u,v intra: 5.7% 2.9% 3.7% inter: 0.1% 0.5% 0.2%
    [libx264 @ 000002460bda4740] i16 v,h,dc,p: 70% 23%  4%  2%
    [libx264 @ 000002460bda4740] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 45%  8% 45%  0%  0%  0%  0%  0%  0%
    [libx264 @ 000002460bda4740] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 29% 26% 25%  3%  3%  4%  4%  3%  2%
    [libx264 @ 000002460bda4740] Weighted P-Frames: Y:0.0% UV:0.0%
    [libx264 @ 000002460bda4740] ref P L0: 72.6%  3.0% 16.6%  7.7%
    [libx264 @ 000002460bda4740] ref B L0: 75.7% 20.6%  3.7%
    [libx264 @ 000002460bda4740] ref B L1: 97.7%  2.3%
    [libx264 @ 000002460bda4740] kb/s:2271.59
    [aac @ 000002460bda8580] Qavg: 55135.730
  • Find a great Google Tag Manager alternative in Matomo Tag Manager

    29 avril 2020, par Joselyn Khor — Analytics Tips, Development, Marketing, Plugins

    If you’re looking for a tag management system that rivals Google’s, then Matomo Tag Manager is a great Google Tag Manager alternative that takes your tracking to the next level.

    What’s a tag manager ?

    If you’re not familiar with Google Tag Manager or Matomo Tag Manager – they’re both free tag management systems that let you manage all your website code snippets (tags) in one place. 

    Tags are typically JavaScript code or HTML that lets you integrate various features into your site in just a few clicks. For example : analytics codes, conversion tracking codes, exit popups and surveys, remarketing codes, social widgets, affiliates, and ads. With a tag manager, you get to easily look into and manage these different tracking codes.

    Why use a tag manager ?

    Tag management systems are game changers because they let you track important data more effectively by easily adding code snippets (tags) to your website. 

    By not needing to hard code each individual code you also save time. Rather than waiting for someone to make tag changes and to deploy your website, you can make the changes yourself without needing the technical expertise of a developer.

    Why is Matomo Tag Manager a great Google Tag Manager alternative ?

     Matomo Tag Manager is a great Google Tag Manager alternative. Not only does it let you manage all your tracking and marketing tags in one place, it also offers less complexity and more flexibility. 

    By tagging your website and using Matomo Tag Manager alongside Matomo Analytics, you can collect much more data than you’d be able to otherwise. 

    A bonus to using Matomo is the privacy and data ownership aspect. With Matomo you also get the added peace of mind that comes with 100% data ownership and privacy protection. You will never be left wondering what’s happening to your data. Rest assured knowing you’re doing the best to protect user privacy, while getting useful insights to improve your website. 

    And since Matomo Tag Manager is the one of the best alternatives to Google Tag Manager, you’ll gain more than you lose by having full confidence that your data is yours to own.

    Three key benefits of using Matomo Tag Manager :

    • Empowers you to deploy and manage your own tags
      This takes the hassle out of needing a web developer to hard code and edit every tag on your website. Now you can deploy tracking code on chosen pages and track various data yourself. 
    • Open up endless possibilities on data tracking
      Dig a lot deeper to track analytics, conversions, and more. Now you can implement advanced tracking solutions without needing to pay an external source. 
    • Save time and create your own impact
      With limited resources you certainly don’t want to be wasting any time having to go back and forth with an external party over what tags to add or take away. An over-dependence on web developers or agencies carrying out tag management for you, stalls growth and experimentation opportunities. With a tag management system you have the convenience of inserting your own tags and getting to a desired outcome faster. You won’t have to forgo tracking opportunities because now it’s in your hands.