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• FFmpeg smearing rtp missed packet

  3 janvier 2018, par Akim Benchiha

  I’m using ffmpeg to combine streams. But during the combinaison I have some errors/Warnings. I don’t know why. I can see the frames are dropping. And the output video is poor quality

  Here the situation :
  First : Try to combine local video and a rtsp stream from data center.

  ffmpeg -i rtsp://cloudzensg.loginto.me:554/livecast -i Xmen2trailer.mov -filter_complex "[0]scale=-1:-1[b];[1]scale=128:128[w];[b][w] overlay=10:10" -vcodec libx264 -preset ultrafast -f flv out.mp4
  
  ffmpeg version N-89672-g41e51fbcd9 Copyright (c) 2000-2018 the FFmpeg developers
  
    built with gcc 7.2.0 (GCC)
  
  [udp @ 000001e07f58ccc0] 'circular_buffer_size' option was set but it is not supported on this build (pthread support is required)
  
  [udp @ 000001e07f5a2b80] 'circular_buffer_size' option was set but it is not supported on this build (pthread support is required)
  
  [udp @ 000001e07f5b4040] 'circular_buffer_size' option was set but it is not supported on this build (pthread support is required)
  
  [udp @ 000001e07f5c4300] 'circular_buffer_size' option was set but it is not supported on this build (pthread support is required)
  
  Input #0, rtsp, from 'rtsp://cloudzensg.loginto.me:554/livecast':
  
    Metadata:
  
      title           : session
  
    Duration: N/A, start: 0.086367, bitrate: N/A
  
      Stream #0:0: Audio: aac, 44100 Hz, stereo, fltp
  
      Stream #0:1: Video: h264 (Constrained Baseline), yuv420p(progressive), 1280x720, 30 fps, 30 tbr, 90k tbn, 60 tbc
  
  Input #1, mov,mp4,m4a,3gp,3g2,mj2, from 'Xmen2trailer.mov':
  
    Metadata:
  
      creation_time   : 2003-02-17T16:23:00.000000Z
  
      title           : X2
  
      title-eng       : X2
  
      copyright-eng   : ┬⌐2003 20th Century Fox
  
      comment         : QuickTime 5 version encoded and delivered by www.apple.com/trailers/
  
      copyright       : ┬⌐2003 20th Century Fox
  
      comment-eng     : QuickTime 5 version encoded and delivered by www.apple.com/trailers/
  
    Duration: 00:02:29.08, start: 0.000000, bitrate: 1283 kb/s
  
      Stream #1:0(eng): Video: svq3 (SVQ3 / 0x33515653), yuvj420p(pc), 480x272, 1153 kb/s, 24 fps, 24 tbr, 600 tbn, 600 tbc (default)
  
      Metadata:
  
        creation_time   : 2003-02-17T16:23:00.000000Z
  
        handler_name    : Apple Alias Data Handler
  
        encoder         : Sorenson Video 3
  
      Stream #1:1(eng): Audio: qdm2 (QDM2 / 0x324D4451), 44100 Hz, stereo, s16, 128 kb/s (default)
  
      Metadata:
  
        creation_time   : 2003-02-17T16:23:00.000000Z
  
        handler_name    : Apple Alias Data Handler
  
  File 'out.mp4' already exists. Overwrite ? [y/N] y
  
  Stream mapping:
  
    Stream #0:1 (h264) -> scale (graph 0)
  
    Stream #1:0 (svq3) -> scale (graph 0)
  
    overlay (graph 0) -> Stream #0:0 (libx264)
  
    Stream #1:1 -> #0:1 (qdm2 (native) -> mp3 (libmp3lame))
  
  Press [q] to stop, [?] for help
  
  [swscaler @ 000001e002b3d980] deprecated pixel format used, make sure you did set range correctly
  
  [libx264 @ 000001e07f5edd00] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
  
  [libx264 @ 000001e07f5edd00] profile Constrained Baseline, level 3.1
  
  [libx264 @ 000001e07f5edd00] 264 - core 152 r2851 ba24899 - H.264/MPEG-4 AVC codec - Copyleft 2003-2017 - http://www.videolan.org/x264.html - options: cabac=0 ref=1 deblock=0:0:0 analyse=0:0 me=dia subme=0 psy=1 psy_rd=1.00:0.00 mixed_ref=0 me_range=16 chroma_me=1 trellis=0 8x8dct=0 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=0 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=0 weightp=0 keyint=250 keyint_min=25 scenecut=0 intra_refresh=0 rc=crf mbtree=0 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=0
  
  Output #0, flv, to 'out.mp4':
  
    Metadata:
  
      title           : session
  
      encoder         : Lavf58.3.100
  
      Stream #0:0: Video: h264 (libx264) ([7][0][0][0] / 0x0007), yuv420p, 1280x720, q=-1--1, 30 fps, 1k tbn, 30 tbc (default)
  
      Metadata:
  
        encoder         : Lavc58.9.100 libx264
  
      Side data:
  
        cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
  
      Stream #0:1(eng): Audio: mp3 (libmp3lame) ([2][0][0][0] / 0x0002), 44100 Hz, stereo, s16p (default)
  
      Metadata:
  
        creation_time   : 2003-02-17T16:23:00.000000Z
  
        handler_name    : Apple Alias Data Handler
  
        encoder         : Lavc58.9.100 libmp3lame
  
  Past duration 0.889320 too large
  
  Past duration 0.629326 too large
  
  Past duration 0.979652 too large
  
  Past duration 0.909660 too large
  
  Past duration 0.646996 too large
  
  Past duration 0.881325 too large
  
  Past duration 0.728661 too large
  
  Past duration 0.970665 too large
  
  Past duration 0.610664 too large
  
  Past duration 0.851997 too large
  
  Past duration 0.779991 too large
  
  Past duration 0.870995 too large
  
  Past duration 0.752327 too large
  
  Past duration 0.970665 too large
  
  Past duration 0.679665 too large
  
  Past duration 0.951988 too large
  
  Past duration 0.913994 too large
  
  Past duration 0.641655 too large
  
  [rtsp @ 000001e07f58a700] max delay reached. need to consume packet
  
  [rtsp @ 000001e07f58a700] RTP: missed 747 packets
  
  [h264 @ 000001e07f63a140] corrupted macroblock 30 15 (total_coeff=-1)063.3kbits/s dup=0 drop=66 speed=6.52x
  
  [h264 @ 000001e07f63a140] error while decoding MB 30 15
  
  [h264 @ 000001e07f63a140] concealing 2380 DC, 2380 AC, 2380 MV errors in P frame
  
  Past duration 0.971657 too large
  
  Past duration 0.867989 too large    1280kB time=00:00:04.44 bitrate=2360.6kbits/s dup=0 drop=70 speed=1.44x
  
  [rtsp @ 000001e07f58a700] max delay reached. need to consume packet
  
  [rtsp @ 000001e07f58a700] RTP: missed 43 packets
  
  [h264 @ 000001e07f639380] corrupted macroblock 11 18 (total_coeff=-1)
  
  [h264 @ 000001e07f639380] error while decoding MB 11 18
  
  [h264 @ 000001e07f639380] concealing 2156 DC, 2156 AC, 2156 MV errors in P frame
  
  Past duration 0.895988 too large
  
  Past duration 0.708656 too large
  
  frame=  105 fps= 29 q=-1.0 Lsize=    2169kB time=00:00:08.98 bitrate=1977.1kbits/s dup=0 drop=76 speed=2.52x
  
  video:2020kB audio:141kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.363079%
  
  [libx264 @ 000001e07f5edd00] frame I:1     Avg QP:20.00  size: 84510
  
  [libx264 @ 000001e07f5edd00] frame P:104   Avg QP:18.44  size: 19074
  
  [libx264 @ 000001e07f5edd00] mb I  I16..4: 100.0%  0.0%  0.0%
  
  [libx264 @ 000001e07f5edd00] mb P  I16..4: 15.4%  0.0%  0.0%  P16..4: 23.1%  0.0%  0.0%  0.0%  0.0%    skip:61.5%
  
  [libx264 @ 000001e07f5edd00] coded y,uvDC,uvAC intra: 7.4% 7.3% 4.5% inter: 14.3% 12.2% 3.4%
  
  [libx264 @ 000001e07f5edd00] i16 v,h,dc,p: 71% 27%  1%  0%
  
  [libx264 @ 000001e07f5edd00] i8c dc,h,v,p: 58% 37%  4%  0%
  
  [libx264 @ 000001e07f5edd00] kb/s:1969.74
  
  Exiting normally, received signal 2

  second :
  Try to combine local rtsp and local video

  ffmpeg -i rtsp://192.168.1.203:554/livecast -i Xmen2trailer.mov -filter_complex "[0]scale=-1:-1[b];[1]scale=128:128[w];[b][w] overlay=10:10" -vcodec libx264 -preset ultrafast -f flv out.mp4
  
  ffmpeg version N-89672-g41e51fbcd9 Copyright (c) 2000-2018 the FFmpeg developers
  
    built with gcc 7.2.0 (GCC)
  
  [udp @ 000002aa1fe4ca00] 'circular_buffer_size' option was set but it is not supported on this build (pthread support is required)
  
  [udp @ 000002aa1fe62900] 'circular_buffer_size' option was set but it is not supported on this build (pthread support is required)
  
  [udp @ 000002aa1fe73d80] 'circular_buffer_size' option was set but it is not supported on this build (pthread support is required)
  
  [udp @ 000002aa1fe84040] 'circular_buffer_size' option was set but it is not supported on this build (pthread support is required)
  
  Input #0, rtsp, from 'rtsp://192.168.1.203:554/livecast':
  
    Metadata:
  
      title           : session
  
    Duration: N/A, start: 0.000000, bitrate: N/A
  
      Stream #0:0: Audio: aac (LC), 48000 Hz, stereo, fltp
  
      Stream #0:1: Video: h264 (Constrained Baseline), yuv420p(progressive), 1920x1080, 30 fps, 30 tbr, 90k tbn, 60 tbc
  
  Input #1, mov,mp4,m4a,3gp,3g2,mj2, from 'Xmen2trailer.mov':
  
    Metadata:
  
      creation_time   : 2003-02-17T16:23:00.000000Z
  
      title           : X2
  
      title-eng       : X2
  
      copyright-eng   : ┬⌐2003 20th Century Fox
  
      comment         : QuickTime 5 version encoded and delivered by www.apple.com/trailers/
  
      copyright       : ┬⌐2003 20th Century Fox
  
      comment-eng     : QuickTime 5 version encoded and delivered by www.apple.com/trailers/
  
    Duration: 00:02:29.08, start: 0.000000, bitrate: 1283 kb/s
  
      Stream #1:0(eng): Video: svq3 (SVQ3 / 0x33515653), yuvj420p(pc), 480x272, 1153 kb/s, 24 fps, 24 tbr, 600 tbn, 600 tbc (default)
  
      Metadata:
  
        creation_time   : 2003-02-17T16:23:00.000000Z
  
        handler_name    : Apple Alias Data Handler
  
        encoder         : Sorenson Video 3
  
      Stream #1:1(eng): Audio: qdm2 (QDM2 / 0x324D4451), 44100 Hz, stereo, s16, 128 kb/s (default)
  
      Metadata:
  
        creation_time   : 2003-02-17T16:23:00.000000Z
  
        handler_name    : Apple Alias Data Handler
  
  File 'out.mp4' already exists. Overwrite ? [y/N] y
  
  Stream mapping:
  
    Stream #0:1 (h264) -> scale (graph 0)
  
    Stream #1:0 (svq3) -> scale (graph 0)
  
    overlay (graph 0) -> Stream #0:0 (libx264)
  
    Stream #0:0 -> #0:1 (aac (native) -> mp3 (libmp3lame))
  
  Press [q] to stop, [?] for help
  
  [swscaler @ 000002aa2355ba40] deprecated pixel format used, make sure you did set range correctly
  
  [libx264 @ 000002aa202d9600] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
  
  [libx264 @ 000002aa202d9600] profile Constrained Baseline, level 4.0
  
  [libx264 @ 000002aa202d9600] 264 - core 152 r2851 ba24899 - H.264/MPEG-4 AVC codec - Copyleft 2003-2017 - http://www.videolan.org/x264.html - options: cabac=0 ref=1 deblock=0:0:0 analyse=0:0 me=dia subme=0 psy=1 psy_rd=1.00:0.00 mixed_ref=0 me_range=16 chroma_me=1 trellis=0 8x8dct=0 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=0 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=0 weightp=0 keyint=250 keyint_min=25 scenecut=0 intra_refresh=0 rc=crf mbtree=0 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=0
  
  Output #0, flv, to 'out.mp4':
  
    Metadata:
  
      title           : session
  
      encoder         : Lavf58.3.100
  
      Stream #0:0: Video: h264 (libx264) ([7][0][0][0] / 0x0007), yuv420p, 1920x1080, q=-1--1, 30 fps, 1k tbn, 30 tbc (default)
  
      Metadata:
  
        encoder         : Lavc58.9.100 libx264
  
      Side data:
  
        cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
  
      Stream #0:1: Audio: mp3 (libmp3lame) ([2][0][0][0] / 0x0002), 48000 Hz, stereo, fltp
  
      Metadata:
  
        encoder         : Lavc58.9.100 libmp3lame
  
  Past duration 0.711662 too large
  
  Past duration 0.822990 too large
  
  Past duration 0.854332 too large
  
  [rtsp @ 000002aa1fe4a680] max delay reached. need to consume packet
  
  [rtsp @ 000002aa1fe4a680] RTP: missed 1315 packets
  
  [h264 @ 000002aa20262580] Invalid level prefix
  
  [h264 @ 000002aa20262580] error while decoding MB 12 37
  
  [h264 @ 000002aa20262580] concealing 3757 DC, 3757 AC, 3757 MV errors in I frame
  
  Past duration 0.732323 too large     256kB time=00:00:02.88 bitrate= 727.2kbits/s dup=0 drop=13 speed=5.76x
  
  Past duration 0.824333 too large
  
  Past duration 0.988991 too large
  
  Past duration 0.862328 too large    1024kB time=00:00:03.38 bitrate=2477.4kbits/s dup=0 drop=21 speed=3.34x
  
  Past duration 0.861320 too large
  
  Past duration 0.883324 too large
  
  Past duration 0.910652 too large    1280kB time=00:00:03.94 bitrate=2659.3kbits/s dup=0 drop=30 speed=2.59x
  
  Past duration 0.954659 too large
  
  Past duration 0.790657 too large    1792kB time=00:00:04.40 bitrate=3335.6kbits/s dup=0 drop=37 speed=2.17x
  
  Past duration 0.861320 too large
  
  Past duration 0.943657 too large
  
  Past duration 0.988655 too large    2304kB time=00:00:04.90 bitrate=3849.6kbits/s dup=0 drop=45 speed=1.94x
  
  Past duration 0.810326 too large
  
  Past duration 0.893654 too large
  
  Past duration 0.822319 too large    3072kB time=00:00:05.40 bitrate=4655.2kbits/s dup=0 drop=53 speed=1.78x
  
  Past duration 0.902657 too large
  
  Past duration 0.909660 too large
  
  Past duration 0.779655 too large    3328kB time=00:00:05.93 bitrate=4596.7kbits/s dup=0 drop=61 speed=1.67x
  
  Past duration 0.957664 too large
  
  Past duration 0.778328 too large    3840kB time=00:00:06.43 bitrate=4890.0kbits/s dup=0 drop=68 speed=1.59x
  
  Past duration 0.861992 too large
  
  Past duration 0.992653 too large
  
  Past duration 0.729652 too large    4352kB time=00:00:06.94 bitrate=5133.4kbits/s dup=0 drop=76 speed=1.53x
  
  [rtsp @ 000002aa1fe4a680] max delay reached. need to consume packet
  
  [rtsp @ 000002aa1fe4a680] RTP: missed 2 packets
  
  Past duration 0.857994 too large
  
  [h264 @ 000002aa20260580] Invalid level prefix
  
  [h264 @ 000002aa20260580] error while decoding MB 43 62
  
  [h264 @ 000002aa20260580] concealing 726 DC, 726 AC, 726 MV errors in P frame
  
  Past duration 0.889000 too large
  
  Past duration 0.800987 too large    4864kB time=00:00:07.42 bitrate=5365.7kbits/s dup=0 drop=83 speed=1.47x
  
  Past duration 0.909660 too large
  
  Past duration 0.946327 too large
  
  Past duration 0.795998 too large
  
  Past duration 0.902321 too large    5376kB time=00:00:07.95 bitrate=5539.0kbits/s dup=0 drop=91 speed=1.43x
  
  Past duration 0.841652 too large
  
  Past duration 0.859657 too large
  
  Past duration 0.992332 too large    5632kB time=00:00:08.43 bitrate=5472.3kbits/s dup=0 drop=99 speed=1.39x
  
  Past duration 0.893990 too large
  
  Past duration 0.947990 too large    6400kB time=00:00:08.95 bitrate=5853.4kbits/s dup=0 drop=106 speed=1.36x
  
  Past duration 0.678322 too large
  
  Past duration 0.994987 too large
  
  Past duration 0.942329 too large
  
  Past duration 0.975319 too large
  
  Past duration 0.702660 too large    6912kB time=00:00:09.45 bitrate=5986.8kbits/s dup=0 drop=114 speed=1.34x
  
  Past duration 0.821663 too large
  
  Past duration 0.937325 too large
  
  Past duration 0.992989 too large
  
  Past duration 0.684990 too large    7168kB time=00:00:09.96 bitrate=5895.0kbits/s dup=0 drop=122 speed=1.31x
  
  Past duration 0.763664 too large
  
  Past duration 0.990318 too large
  
  Past duration 0.921333 too large
  
  Past duration 0.945320 too large
  
  Past duration 0.711327 too large    7680kB time=00:00:10.49 bitrate=5994.1kbits/s dup=0 drop=130 speed=1.29x
  
  Past duration 0.841652 too large
  
  Past duration 0.948997 too large
  
  Past duration 0.994652 too large
  
  Past duration 0.759987 too large    8448kB time=00:00:11.04 bitrate=6267.0kbits/s dup=0 drop=138 speed=1.28x
  
  Past duration 0.860985 too large
  
  Past duration 0.984993 too large
  
  Past duration 0.796989 too large    8960kB time=00:00:11.50 bitrate=6382.1kbits/s dup=0 drop=145 speed=1.26x
  
  Past duration 0.914665 too large
  
  Past duration 0.804329 too large    9472kB time=00:00:12.02 bitrate=6452.2kbits/s dup=0 drop=152 speed=1.25x
  
  frame=  303 fps= 31 q=-1.0 Lsize=   10246kB time=00:00:12.33 bitrate=6803.2kbits/s dup=0 drop=156 speed=1.25x
  
  video:10039kB audio:193kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.140463%
  
  [libx264 @ 000002aa202d9600] frame I:2     Avg QP:18.00  size:199681
  
  [libx264 @ 000002aa202d9600] frame P:301   Avg QP:18.96  size: 32823
  
  [libx264 @ 000002aa202d9600] mb I  I16..4: 100.0%  0.0%  0.0%
  
  [libx264 @ 000002aa202d9600] mb P  I16..4:  9.3%  0.0%  0.0%  P16..4: 32.1%  0.0%  0.0%  0.0%  0.0%    skip:58.6%
  
  [libx264 @ 000002aa202d9600] coded y,uvDC,uvAC intra: 12.9% 34.0% 11.0% inter: 12.0% 22.7% 6.2%
  
  [libx264 @ 000002aa202d9600] i16 v,h,dc,p: 38% 49%  9%  4%
  
  [libx264 @ 000002aa202d9600] i8c dc,h,v,p: 38% 42% 14%  6%
  
  [libx264 @ 000002aa202d9600] kb/s:6833.78
  
  Exiting normally, received signal 2.

  third :
  Combine RTMP from phone and RTSP video from server

  ffmpeg -i rtsp://192.168.1.203:554/livecast -i rtmp://192.168.1.152:1935/ingest/test -filter_complex "[0]scale=-1:-1[b];[1]scale=200:200[w];[b][w] overlay=10:10" -c:v libx264 -preset ultrafast -f flv outputRTMP.mp4
  
  ffmpeg version N-89672-g41e51fbcd9 Copyright (c) 2000-2018 the FFmpeg developers
  
    built with gcc 7.2.0 (GCC)
  
    configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-bzlib --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --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-amf --enable-cuda --enable-cuvid --enable-d3d11va --enable-nvenc --enable-dxva2 --enable-avisynth --enable-libmfx
  
    libavutil      56.  7.100 / 56.  7.100
  
    libavcodec     58.  9.100 / 58.  9.100
  
    libavformat    58.  3.100 / 58.  3.100
  
    libavdevice    58.  0.100 / 58.  0.100
  
    libavfilter     7.  8.100 /  7.  8.100
  
    libswscale      5.  0.101 /  5.  0.101
  
    libswresample   3.  0.101 /  3.  0.101
  
    libpostproc    55.  0.100 / 55.  0.100
  
  [udp @ 0000018c0ccbca40] 'circular_buffer_size' option was set but it is not supported on this build (pthread support is required)
  
  [udp @ 0000018c0ccd2900] 'circular_buffer_size' option was set but it is not supported on this build (pthread support is required)
  
  [udp @ 0000018c0cce3dc0] 'circular_buffer_size' option was set but it is not supported on this build (pthread support is required)
  
  [udp @ 0000018c0ccf4080] 'circular_buffer_size' option was set but it is not supported on this build (pthread support is required)
  
  Input #0, rtsp, from 'rtsp://192.168.1.203:554/livecast':
  
    Metadata:
  
      title           : session
  
    Duration: N/A, start: 0.000000, bitrate: N/A
  
      Stream #0:0: Audio: aac (LC), 48000 Hz, stereo, fltp
  
      Stream #0:1: Video: h264 (Constrained Baseline), yuv420p(progressive), 1920x1080, 30 fps, 30 tbr, 90k tbn, 60 tbc
  
  Input #1, flv, from 'rtmp://192.168.1.152:1935/ingest/test':
  
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      Server          : NGINX RTMP (github.com/arut/nginx-rtmp-module)
  
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      Stream #1:0: Audio: aac (LC), 44100 Hz, mono, fltp, 47 kb/s
  
      Stream #1:1: Video: h264 (Baseline), yuv420p(tv, smpte170m/bt470bg/smpte170m, progressive), 640x480, 1999 kb/s, 29.92 fps, 29.92 tbr, 1k tbn
  
  File 'outputRTMP.mp4' already exists. Overwrite ? [y/N] y
  
  Stream mapping:
  
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    Stream #0:0 -> #0:1 (aac (native) -> mp3 (libmp3lame))
  
  Press [q] to stop, [?] for help
  
  [libx264 @ 0000018c0d1321c0] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
  
  [libx264 @ 0000018c0d1321c0] profile Constrained Baseline, level 4.0
  
  [libx264 @ 0000018c0d1321c0] 264 - core 152 r2851 ba24899 - H.264/MPEG-4 AVC codec - Copyleft 2003-2017 - http://www.videolan.org/x264.html - options: cabac=0 ref=1 deblock=0:0:0 analyse=0:0 me=dia subme=0 psy=1 psy_rd=1.00:0.00 mixed_ref=0 me_range=16 chroma_me=1 trellis=0 8x8dct=0 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=0 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=0 weightp=0 keyint=250 keyint_min=25 scenecut=0 intra_refresh=0 rc=crf mbtree=0 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=0
  
  Output #0, flv, to 'outputRTMP.mp4':
  
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      Stream #0:0: Video: h264 (libx264) ([7][0][0][0] / 0x0007), yuv420p, 1920x1080, q=-1--1, 30 fps, 1k tbn, 30 tbc (default)
  
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  [h264 @ 0000018c0d0da140] negative number of zero coeffs at 33 32
  
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  [h264 @ 0000018c0d0da140] concealing 4336 DC, 4336 AC, 4336 MV errors in P frame
  
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  [h264 @ 0000018c0d0daf00] Invalid level prefix
  
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  [h264 @ 0000018c0d0daf00] concealing 3889 DC, 3889 AC, 3889 MV errors in P frame
  
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  [h264 @ 0000018c0d0d8a80] error while decoding MB 55 26
  
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  [h264 @ 0000018c0d0d8140] concealing 3721 DC, 3721 AC, 3721 MV errors in P frame
  
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  [h264 @ 0000018c0d0d8f00] concealing 3675 DC, 3675 AC, 3675 MV errors in P frame
  
  frame=  101 fps=5.3 q=-1.0 Lsize=    4095kB time=00:00:23.67 bitrate=1417.0kbits/s dup=0 drop=37 speed=1.25x
  
  video:3739kB audio:340kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.405426%
  
  [libx264 @ 0000018c0d1321c0] frame I:1     Avg QP:20.00  size:178581
  
  [libx264 @ 0000018c0d1321c0] frame P:100   Avg QP:20.42  size: 36495
  
  [libx264 @ 0000018c0d1321c0] mb I  I16..4: 100.0%  0.0%  0.0%
  
  [libx264 @ 0000018c0d1321c0] mb P  I16..4: 11.8%  0.0%  0.0%  P16..4: 31.7%  0.0%  0.0%  0.0%  0.0%    skip:56.5%
  
  [libx264 @ 0000018c0d1321c0] coded y,uvDC,uvAC intra: 26.5% 36.0% 9.2% inter: 15.0% 18.5% 3.4%
  
  [libx264 @ 0000018c0d1321c0] i16 v,h,dc,p: 44% 39% 10%  7%
  
  [libx264 @ 0000018c0d1321c0] i8c dc,h,v,p: 36% 36% 21%  7%
  
  [libx264 @ 0000018c0d1321c0] kb/s:1383.65
  
  Exiting normally, received signal 2.

  So If you have some ideas for me it will help. Thank you

• 7 Ecommerce Metrics to Track and Improve in 2024

  12 avril 2024, par Erin

  You can invest hours into market research, create the best ads you’ve ever seen and fine-tune your budgets. But the only way to really know if your digital marketing campaigns move the needle is to track ecommerce metrics.

  It’s time to put your hopes and gut feelings aside and focus on the data. Ecommerce metrics are key performance indicators that can tell you a lot about the performance of a single campaign, a traffic source or your entire marketing efforts. 

  That’s why it’s essential to understand what ecommerce metrics are, key metrics to track and how to improve them. 

  Ready to do all of the above ? Then, let’s get started.

  What are ecommerce metrics ? 

  An ecommerce metric is any metric that helps you understand the effectiveness of your digital marketing efforts and the extent to which users are taking a desired action. Most ecommerce metrics focus on conversions, which could be anything from making a purchase to subscribing to your email list.

  You need to track ecommerce metrics to understand how well your marketing efforts are working. They are essential to helping you run a cost-effective marketing campaign that delivers a return on investment. 

  For example, tracking ecommerce metrics will help you identify whether your digital marketing campaigns are generating a return on investment or whether they are actually losing money. They also help you identify your most effective campaigns and traffic sources. 

  Ecommerce metrics also help you spot opportunities for improvement both in terms of your marketing campaigns and your site’s UX. 

  For instance, you can use ecommerce metrics to track the impact on revenue of A/B tests on your marketing campaigns. Or you can use them to understand how users interact with your website and what, if anything, you can do to make it more engaging.

  What’s the difference between conversion rate and conversion value ?

  The difference between a conversion rate and a conversion value is that the former is a percentage while the latter is a monetary value. 

  There can be confusion between the terms conversion rate and conversion value. Since conversions are core metrics in ecommerce, it’s worth taking a minute to clarify. 

  Conversion rates measure the percentage of people who take a desired action on your website compared to the total number of visitors. If you have 100 visitors and one of them converts, then your conversion rate is 1%. 

  Here’s the formula for calculating your conversion rate :

  Conversion Rate (%) = (Number of conversions / Total number of visitors) × 100

  

  Using the example above :

  Conversion Rate = (1 / 100) × 100 = 1%

  Conversion value is a monetary amount you assign to each conversion. In some cases, this is the price of the product a user purchases. In other conversion events, such as signing up for a free trial, you may wish to assign a hypothetical conversion value. 

  To calculate a hypothetical conversion value, let’s consider that you have estimated the average revenue generated from a paying customer is $300. If the conversion rate from free trial to paying customer is 20%, then the hypothetical conversion value for each free trial signup would be $300 multiplied by 20%, which equals $60. This takes into account the number of free trial users who eventually become paying customers.

  So the formula for hypothetical conversion value looks like this :

  

  Hypothetical conversion value = (Average revenue per paying customer) × (Conversion rate)

  Using the values from our example :

  Hypothetical conversion value = $300 × 20% = $60

  The most important ecommerce metrics and how to track them

  There are dozens of ecommerce metrics you could track, but here are seven of the most important. 

  Conversion rate

  Conversion rate is the percentage of visitors who take a desired action. It is arguably one of the most important ecommerce metrics and a great top-level indicator of the success of your marketing efforts. 

  You can measure the conversion rate of anything, including newsletter signups, ebook downloads, and product purchases, using the following formula :

  

  Conversion rate = (Number of people who took action / Total number of visitors) × 100

  You usually won’t have to manually calculate your conversion rate, though. Almost every web analytics or ad platform will track the conversion rate automatically.

  Matomo, for instance, automatically tracks any conversion you set in the Goals report.

  

  As you can see in the screenshot, your site’s conversions are plotted over a period of time and the conversion rate is tracked below the graph. You can change the time period to see how your conversion rate fluctuates.

  If you want to go even further, track your new visitor conversion rate to see how engaging your site is to first-time visitors. 

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  Cost per acquisition

  Cost per acquisition (CPA) is the average cost of acquiring a new user. You can calculate your overall CPA or you can break CPA down by email campaign, traffic source, or any other criteria. 

  Calculate CPA by dividing your total marketing cost by the number of new users you acquire.

  

  CPA = Total marketing cost​ / Number of new users acquired 

  So if your Google Ads campaign costs €1,000 and you acquire 100 new users, your CPA is €10 (1000/100=10).

  It’s important to note that CPA is not the same as customer acquisition cost. Customer acquisition cost considers the number of paying customers. CPA looks at the number of users taking a certain action, like subscribing to a newsletter, making a purchase, or signing up for a free trial.

  Cost per acquisition is a direct measure of your marketing efforts’ effectiveness, especially when comparing CPA to average customer spend and return on ad spend. 

  If your CPA is higher than the average customer spend, your marketing campaign is profitable. If not, then you can look at ways to either increase customer spend or decrease your cost per acquisition.

  Customer lifetime value

  Customer lifetime value (CLV) is the average amount of money a customer will spend with your ecommerce brand over their lifetime. 

  Customer value is the total worth of a customer to your brand based on their purchasing behaviour. To calculate it, multiply the average purchase value by the average number of purchases. For instance, if the average purchase value is €50 and customers make 5 purchases on average, the customer value would be €250.

  Use this formula to calculate customer value :

  

  Customer value = Average purchase value × Average number of purchases

  Then you can calculate customer lifetime value using the following formula :

  

  CLV = Customer value × Average customer lifespan

  In another example, let’s say you have a software company and customers pay you €500 per year for an annual subscription. If the average customer lifespan is 5 years, then the Customer Lifetime Value (CLV) would be €2,500.

  Customer lifetime value = €500 × 5 = €2,500

  Knowing how much potential customers are likely to spend helps you set accurate marketing budgets and optimise the price of your products. 

  Return on investment

  Return on investment (ROI) is the amount of revenue your marketing efforts generate compared to total spend. 

  It’s usually calculated as a percentage using the following formula :

  

  ROI = (Revenue / Total spend) × 100

  If you spend €1,000 on a paid ad campaign and your efforts bring in €5,000, then your ROI is 500% (5,000/1,000 × 100).

  With a web analytics tool like Matomo, you can quickly see the revenue generated from each traffic source and you can drill down further to compare different social media channels, search engines, referral websites and campaigns to get more granular view. 

  

  In the example above in Matomo’s Marketing Attribution feature, we can see that social networks are generating the highest amount of revenue in the year. To calculate ROI, we would need to compare the amount of investment to each channel. 

  Let’s say we invested $1,000 per year in search engine optimisation and content marketing, the return on investment (ROI) stands at approximately 2576%, based on a revenue of $26,763.48 per year. 

  Conversely, for organic social media campaigns, where $5,000 was invested and revenue amounted to $71,180.22 per year, the ROI is approximately 1323%. 

  Despite differences in revenue generation, both channels exhibit significant returns on investment, with SEO and content marketing demonstrating a much higher ROI compared to organic social media campaigns. 

  With that in mind, we might want to consider shifting our marketing budget to focus more on search engine optimisation and content marketing as it’s a greater return on investment.

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  Return on ad spend

  Return on ad spend (ROAS) is similar to return on investment, but it measures the profitability of a specific ad or campaign.

  Calculate ROAS using the following formula :

  

  ROAS = Revenue / Ad cost 

  A positive ROAS means you are making money. If you generate €3 for every €1 you spend on advertising, for example, there’s no reason to turn off that campaign. If you only make €1 for every €2 you spend, however, then you need to shut down the campaign or optimise it. 

  Bounce rate

  Bounce rate is the percentage of visitors who leave your site without taking another action. Calculate it using the following formula :

  

  Bounce rate = (Number of visitors who bounce / Total number of visitors) × 100

  Some portion of users will always leave your site immediately, but you should aim to make your bounce rate as low as possible. After all, every customer that bounces is a missed opportunity that you may never get again. 

  You can check the bounce rate for each one of your site’s pages using Matomo’s page analytics report. Web analytics tools like Google Analytics can track bounce rates for online stores also. 

  

  Bounce rate is calculated automatically. You can sort the list of pages by bounce rate allowing you to prioritise your optimisation efforts. 

  Don’t stop there, though. Explore bounce rate further by comparing your mobile bounce rate vs. desktop bounce rate by segmenting your traffic. This will highlight whether your mobile site needs improving. 

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  Click-through rate

  Your clickthrough rate (CTR) tells you the number of people who click on your ads as a percentage of total impressions. You can calculate it by dividing the number of clicks your ad gets by the total number of times people see it. 

  So the formula looks like this :

  

  CTR (%) = (Number of clicks / Total impressions​) × 100

  If an ad gets 1,000 impressions and 10 people click on it, then the CTR will be 10/1,000 × 100 = 1%

  You don’t usually need to calculate your clickthrough rate manually, however. Most ad platforms like Google Ads will automatically calculate CTR.

  What is considered a good ecommerce sales conversion rate ?

  This question is so broad it’s almost impossible to answer. The thing is, sales conversion rates vary massively depending on the conversion event and the industry. A good conversion rate in one industry might be terrible in another. 

  That being said, research shows that the average website conversion rate across all industries is 2.35%. Of course, some websites convert much better than this. The same study found that the top 25% of websites across all industries have a conversion rate of 5.31% or higher. 

  How can you improve your conversion rate ?

  Ecommerce metrics don’t just let you track your campaign’s ROI, they help you identify ways to improve your campaign. 

  Use these five tips to start improving your marketing campaign’s conversion rates today :

  Run A/B tests

  The most effective way to improve almost all of the ecommerce metrics you track is to test, test, and test again.

  A/B testing or multivariate testing compares two different versions of the same content, such as a landing page or blog post. Seeing which version performs better can help you squeeze as many conversions as possible from your website and ad campaigns. But only if you test as many things as possible. This should include :

  • Ad placement
  • Ad copy
  • CTAs
  • Headlines
  • Straplines
  • Colours
  • Design

  To create and analyse tests and their results effectively, you’ll need either an A/B testing platform or a web analytics solution like Matomo, which offers one out of the box.

  

  Matomo’s A/B Testing feature makes it easy to create and track tests over time, breaking down each test’s variations by the metrics that matter. It automatically calculates statistical significance, too, meaning you can be sure you’re making a change for the better. 

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.