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  • Custom Segmentation Guide : How it Works & Segments to Test

    13 novembre 2023, par Erin — Analytics Tips, Uncategorized

    Struggling to get the insights you’re looking for with premade reports and audience segments in your analytics ?

    Custom segmentation can help you better understand your customers, app users or website visitors, but only if you know what you’re doing.

    You can derive false insights with the wrong segments, leading your marketing campaigns or product development in the wrong direction.

    In this article, we’ll break down what custom segmentation is, useful custom segments to consider, how new privacy laws affect segmentation options and how to create these segments in an analytics platform.

    What is custom segmentation ?

    Custom segmentation is when you divide your audience (customers, users, website visitors) into bespoke segments of your own design, not premade segments designed by the analytics or marketing platform provider.

    To do this, you single out “custom segment input” — data points you will use to pinpoint certain users. For example, it could be everyone who has visited a certain page on your site.

    Illustration of how custom segmentation works

    Segmentation isn’t just useful for targeting marketing campaigns and also for analysing your customer data. Creating segments is a great way to dive deeper into your data beyond surface-level insights.

    You can explore how various factors impact engagement, conversion rates, and customer lifetime value. These insights can help guide your higher-level strategy, not just campaigns.

    How custom segments can help your business

    As the global business world clamours to become more “data-driven,” even smaller companies collect all sorts of data on visitors, users, and customers.

    However, inexperienced organisations often become “data hoarders” without meaningful insights. They have in-house servers full of data or gigabytes stored by Google Analytics and other third-party providers.

    Illustration of a company that only collects data

    One way to leverage this data is with standard customer segmentation models. This can help you get insights into your most valuable customer groups and other standard segments.

    Custom segments, in turn, can help you dive deeper. They help you unlock insights into the “why” of certain behaviours. They can help you segment customers and your audience to figure out :

    • Why and how someone became a loyal customer
    • How high-order-value customers interact with your site before purchases
    • Which behaviours indicate audience members are likely to convert
    • Which traffic sources drive the most valuable customers

    This specific insight’s power led Gartner to predict that 70% of companies will shift focus from “big data” to “small and wide” by 2025. The lateral detail is what helps inform your marketing strategy. 

    You don’t need the same volume of data if you’re analysing and segmenting it effectively.

    Custom segment inputs : 6 data points you can use to create valuable custom segments 

    To help you get started, here are six useful data points you can use as a basis to create segments — AKA customer segment inputs :

    Diagram of the different possible custom segment inputs

    Visits to certain pages

    A basic data point that’s great for custom segments is visits to certain pages. Create segments for popular middle-of-funnel pages and compare their engagement and conversion rates. 

    For example, if a user visits a case study page, you can compare their likelihood to convert vs. other visitors.

    This is a type of behavioural segmentation, but it is the easiest custom segment to set up in terms of analysis and marketing efforts.

    Visitors who perform certain actions

    The other important type of behavioural segment is visitors or users who take certain actions. Think of things like downloading a file, clicking a link, playing a video or scrolling a certain amount.

    For instance, you can create a segment of all visitors who have downloaded a white paper. This can help you explore, for example, what drives someone to download a white paper. You can look at the typical user journey and make it easier for them to access the white paper — especially if your sales reps indicate many inbound leads mention it as a key driver of their interest.

    User devices

    Device-based segmentation lets you compare engagement and conversion rates on mobile, desktop and tablets. You can also get insights into their usage patterns and potential issues with certain mobile elements.

    Mobile device users segment in Matomo Analytics

    This is one aspect of technographic segmentation, where you segment based on users’ hardware or software. You can also create segments based on browser software or even specific versions.

    Loyal or high-value customers

    The best way to get more loyal or high-value customers is to explore their journey in more detail. These types of segments can help you better understand your ideal customers and how they act on your site.

    You can then use this insight to alter your campaigns or how you communicate with your target audience.

    For example, you might notice that high-value customers tend to come from a certain source. You can then focus your marketing efforts on this source to reach more of your ideal customers.

    Visitor or customer source

    You need to track the results if you’re investing in marketing (like an influencer campaign or a sponsored post) outside platforms with their own analytics.

    Screenshot of the free Matomo tracking URL builder

    Before you can create a reliable segment, you need to make sure that you use campaign tracking parameters to reliably track the source. You can use our free campaign tracking URL builder for that.

    Demographic segments — location (country, state) and more

    Web analytics tools, such as Matomo, use visitors’ IP addresses to pinpoint their location more accurately by cross-referencing with a database of known and estimated IP locations. In addition, these tools can detect a visitor’s location through the language settings in their browser. 

    This can help create segments based on location or language. By exploring these trends, you can identify patterns in behaviour, tailor your content to specific audiences, and adapt your overall strategy to better meet the preferences and needs of your diverse visitor base.

    How new privacy laws affect segmentation options

    Over the past few years, new legislation regarding privacy and customer data has been passed globally. The most notable privacy laws are the GDPR in the EU, the CCPA in California and the VCDPA in Virginia.

    Illustration of the impact of new privacy regulations on analytics

    For most companies, it can save a lot of work and future headaches to choose a GDPR-compliant web analytics solution not only streamlines operations, saving considerable effort and preventing future headaches, but also ensures peace of mind by guaranteeing the collection of compliant and accurate data. This approach allows companies to maintain compliance with privacy regulations while remaining firmly committed to a data-driven strategy.

    Create your very own custom segments in Matomo (while ensuring compliance and data accuracy)

    Crafting precise marketing messages and optimising ROI is crucial, but it becomes challenging without the right tools, especially when it comes to maintaining accurate data.

    That’s where Matomo comes in. Our privacy-friendly web analytics platform is GDPR-compliant and ensures accurate data, empowering you to effortlessly create and analyse precise custom segments.

    If you want to improve your marketing campaigns while remaining GDPR-compliant, start your 21-day free trial of Matomo. No credit card required.

  • FFMPEG equalizer clipping audio despite low volume

    23 juillet 2023, par Tom

    I'm using ffmpeg to equalise audio transferred from historic gramophone records, using standard eqs of the era.

    


    The frequency and gain values are taken from the graphic eq settings listed on the Audacity website - https://plugins.audacityteam.org/additional-resources/eq-curves/playback-equalization-for-78-rpm-shellacs-and-early-33-lps

    


    An example of the Blumlien300 curve here - https://2850314611-files.gitbook.io/ /files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FklCVENFte0GRy5IqVz0W%2Fuploads%2FJHS6Mv121GX1h898xy4K%2FBlumlein300_3.2.2.txt?alt=media&token=8d04df05-366d-47f8-8c82-149fa5eda59a

    


    The audio file I'm testing with has a digital peak of -35db, the highest gain value applied on this eq is 17db. When I run the ffmpeg command though, it reports the audio is clipping and the result is a horribly distorted recording.

    


    Can anyone advise why this is happening ? I run the same file through the same eq settings in Audacity and the result is as expected.

    


    set eq="equalizer=f=22050:g=-0.4,equalizer=f=21203.720228928225:g=-0.4,equalizer=f=20389.920705063967:g=-0.4,equalizer=f=19607.354835383569:g=-0.4,equalizer=f=18854.823871147240:g=-0.4,equalizer=f=18131.175071633737:g=-0.4,equalizer=f=17435.299938351014:g=-0.4,equalizer=f=16766.132517017904:g=-0.4,equalizer=f=16122.647764715837:g=-0.4,equalizer=f=15503.859979709296:g=-0.4,equalizer=f=14908.821291529812:g=-0.4,equalizer=f=14336.620209010769:g=-0.4,equalizer=f=13786.380224048187:g=-0.4,equalizer=f=13257.258468950000:g=-0.4,equalizer=f=12748.444425315412:g=-0.4,equalizer=f=12259.158682468413:g=-0.4,equalizer=f=11788.651743541806:g=-0.4,equalizer=f=11336.202877384472:g=-0.4,equalizer=f=10901.119014532051:g=-0.4,equalizer=f=10482.733685550458:g=-0.4,equalizer=f=10080.406000125797:g=-0.4,equalizer=f=9693.519665336817:g=-0.4,equalizer=f=9321.482041606178:g=-0.4,equalizer=f=8963.723234884175:g=-0.4,equalizer=f=8619.695223674737:g=-0.4,equalizer=f=8288.871019565895:g=-0.4,equalizer=f=7970.743859979441:g=-0.4,equalizer=f=7664.826431902562:g=-0.4,equalizer=f=7370.650125412990:g=-0.4,equalizer=f=7087.764315853595:g=-0.4,equalizer=f=6815.735673557399:g=-0.4,equalizer=f=6554.147500065165:g=-0.4,equalizer=f=6302.599089819104:g=-0.4,equalizer=f=6060.705116354743:g=-0.4,equalizer=f=5828.095042050793:g=-0.4,equalizer=f=5604.412550532827:g=-0.4,equalizer=f=5389.315000861326:g=-0.4,equalizer=f=5182.472902668021:g=-0.394052055589,equalizer=f=4983.569411436476:g=-0.386751590389,equalizer=f=4792.299843153906:g=-0.376185664074,equalizer=f=4608.371207590573:g=-0.362543760251,equalizer=f=4431.501759492006:g=-0.345993198097,equalizer=f=4261.420566996452:g=-0.330710126890,equalizer=f=4097.867096616487:g=-0.318503033191,equalizer=f=3940.590814149046:g=-0.309564283335,equalizer=f=3789.350800902538:g=-0.303741189604,equalizer=f=3643.915384653179:g=-0.300601888512,equalizer=f=3504.061784765236:g=-0.3,equalizer=f=3369.575770931567:g=-0.3,equalizer=f=3240.251335011708:g=-0.3,equalizer=f=3115.890375464830:g=-0.3,equalizer=f=2996.302393894170:g=-0.3,equalizer=f=2881.304203238093:g=-0.3,equalizer=f=2770.719647160795:g=-0.3,equalizer=f=2664.379330212802:g=-0.3,equalizer=f=2562.120358347913:g=-0.3,equalizer=f=2463.786089399117:g=-0.3,equalizer=f=2369.225893131248:g=-0.3,equalizer=f=2278.294920502843:g=-0.3,equalizer=f=2190.853881783698:g=-0.3,equalizer=f=2106.768833188346:g=-0.296437432785,equalizer=f=2025.910971698469:g=-0.290217913930,equalizer=f=1948.156437760116:g=-0.280922418484,equalizer=f=1873.386125553329:g=-0.268550946447,equalizer=f=1801.485500543704:g=-0.253103497820,equalizer=f=1732.344424036255:g=-0.235614749092,equalizer=f=1665.856984462975:g=-0.218076286078,equalizer=f=1601.921335145533:g=-0.200537822606,equalizer=f=1540.439538284674:g=-0.184632657170,equalizer=f=1481.317414937308:g=-0.168779161348,equalizer=f=1424.464400751469:g=-0.152925665153,equalizer=f=1369.793407238189:g=-0.137072168707,equalizer=f=1317.220688367753:g=-0.121218672255,equalizer=f=1266.665712285991:g=-0.105365175802,equalizer=f=1218.051037954117:g=-0.088396941462,equalizer=f=1171.302196523118:g=-0.070858476440,equalizer=f=1126.347577261013:g=-0.053320011417,equalizer=f=1083.118317858216:g=-0.034770724190,equalizer=f=1041.548198942992:g=-0.013200571808,equalizer=f=1001.573542645411:g=0.011445558081,equalizer=f=963.133115054414:g=0.039167665478,equalizer=f=926.168032418592:g=0.069965750383,equalizer=f=890.621670946974:g=0.103839812794,equalizer=f=856.439580071665:g=0.140789852714,equalizer=f=823.569399039473:g=0.180815870141,equalizer=f=791.960776704742:g=0.223158863450,equalizer=f=761.565294400547:g=0.266149082252,equalizer=f=732.336391770094:g=0.311823093692,equalizer=f=704.229295444710:g=0.360237839089,equalizer=f=677.200950459179:g=0.413174176689,equalizer=f=651.209954299352:g=0.471478099167,equalizer=f=626.216493481026:g=0.535493496953,equalizer=f=602.182282562909:g=0.606978871276,equalizer=f=579.070505500287:g=0.684199304160,equalizer=f=556.845759249530:g=0.767096732395,equalizer=f=535.473999537060:g=0.853776460170,equalizer=f=514.922488709709:g=0.943323717867,equalizer=f=495.159745586582:g=1.036571598687,equalizer=f=476.155497235608:g=1.135335711982,equalizer=f=457.880632600910:g=1.237175803242,equalizer=f=440.307157909949:g=1.342335109599,equalizer=f=423.408153792158:g=1.453088412615,equalizer=f=407.157734043353:g=1.569993670188,equalizer=f=391.531005972773:g=1.688508164136,equalizer=f=376.504032271996:g=1.808802987893,equalizer=f=362.053794347337:g=1.934465396527,equalizer=f=348.158157059540:g=2.065823830001,equalizer=f=334.795834816768:g=2.204891058267,equalizer=f=321.946358968944:g=2.352009664049,equalizer=f=309.590046453497:g=2.509552803849,equalizer=f=297.707969644483:g=2.678532979186,equalizer=f=286.281927358906:g=2.856115742576,equalizer=f=275.294416975809:g=3.041612670003,equalizer=f=264.728607625441:g=3.230723044219,equalizer=f=254.568314407418:g=3.422700948357,equalizer=f=244.797973598401:g=3.621312762050,equalizer=f=235.402618811295:g=3.826195809769,equalizer=f=226.367858069467:g=4.034154835453,equalizer=f=217.679851760848:g=4.246639157749,equalizer=f=209.325291438168:g=4.468048945659,equalizer=f=201.291379432825:g=4.698686666092,equalizer=f=193.565809251186:g=4.938552319047,equalizer=f=186.136746723276:g=5.187645904525,equalizer=f=178.992811874976:g=5.445967422525,equalizer=f=172.123061495972:g=5.712025685327,equalizer=f=165.516972376744:g=5.984236264250,equalizer=f=159.164425188922:g=6.258981796419,equalizer=f=153.055688984312:g=6.515823590632,equalizer=f=147.181406288853:g=6.777692051390,equalizer=f=141.532578768664:g=7.044587178695,equalizer=f=136.100553446236:g=7.314095599483,equalizer=f=130.877009445637:g=7.583605034445,equalizer=f=125.853945246444:g=7.853114469407,equalizer=f=121.023666426868:g=8.146285201135,equalizer=f=116.378773877299:g=8.444439101287,equalizer=f=111.912152466211:g=8.742593001439,equalizer=f=107.616960141075:g=9.042209423688,equalizer=f=103.486617447577:g=9.344900874707,equalizer=f=99.514797451091:g=9.650668303691,equalizer=f=95.695416044961:g=9.959511710641,equalizer=f=92.022622630759:g=10.271431095557,equalizer=f=88.490791156230:g=10.586541422511,equalizer=f=85.094511497198:g=10.906991735356,equalizer=f=81.828581170245:g=11.233594002758,equalizer=f=78.687997363448:g=11.556996378650,equalizer=f=75.667949272979:g=11.873211536187,equalizer=f=72.763810733831:g=12.194794278600,equalizer=f=69.971133133372:g=12.521192148224,equalizer=f=67.285638596875:g=12.846501740168,equalizer=f=64.703213434600:g=13.169127539473,equalizer=f=62.219901840358:g=13.492484068742,equalizer=f=59.831899831942:g=13.820346094285,equalizer=f=57.535549424116:g=14.145340590334,equalizer=f=55.327333025244:g=14.467659297988,equalizer=f=53.203868048980:g=14.789401139821,equalizer=f=51.161901732761:g=15.111142981226,equalizer=f=49.198306155165:g=15.437629968456,equalizer=f=47.310073444503:g=15.770860796927,equalizer=f=45.494311171305:g=16.104091624940,equalizer=f=43.748237917649:g=16.412536097232,equalizer=f=42.069179016527:g=16.579143834849,equalizer=f=40.454562454745:g=16.588876722789,equalizer=f=38.901914933067:g=16.461103901687,equalizer=f=37.408858077565:g=16.215674576171,equalizer=f=35.973104796389:g=15.850016386783,equalizer=f=34.592455776352:g=15.350234288456,equalizer=f=33.264796113983:g=14.615823142814,equalizer=f=31.988092075884:g=13.626809695512,equalizer=f=30.760387983412:g=12.332756508563,equalizer=f=29.579803216941:g=10.518513413063,equalizer=f=28.444529335092:g=8.346792732977,equalizer=f=27.352827304528:g=5.833681758551,equalizer=f=26.303024836072:g=3.097942665008,equalizer=f=25.293513823067:g=0.163604913582,equalizer=f=24.322747878043:g=-2.887748621210,equalizer=f=23.389239963935:g=-6.091081601564,equalizer=f=22.491560116216:g=-9.478973229620,equalizer=f=21.628333252442:g=-12.539218030638,equalizer=f=20.798237065887:g=-14.384804507659,equalizer=f=20:g=-15"
ffmpeg -i "File.wav" -af %eq% -c:a pcm_s24le out.wav


    


  • Quick stream from file which exists

    4 mai 2017, par parsa

    I implement live streaming from mp4 video file which exists on the path with ffmpeg under hls format.
    When my video file have the quality greater than hd720 , in encoding there are so many delays for creating .ts fragments.
    I mean the .ts fragments slowly produced on my path,and because of it I have so many delays in showing the stream.
    Here is my ffmpeg code for streaming :

    ffmpeg -re -i 123.mp4 -s cga -f hls -hls_list_size 0 -c:v libx264 -c:a aac 200p/out.m3u8
                 -s nhd -f hls -hls_list_size 0 -c:v libx264 -c:a aac 360p/out.m3u8
                 -s hd480 -f hls -hls_list_size 0 -c:v libx264 -c:a aac 480p/out.m3u8
                 -s hd720 -f hls -hls_list_size 0 -c:v libx264 -c:a aac 720p/out.m3u8
                 -s hd1080 -f hls -hls_list_size 0 -c:v libx264 -c:a aac 1080p/out.m3u8

    And here is the console output :

       ffmpeg -re -i ../files/412-887123464/video/412-887123464.mp4 -s cga -f hls -hls_list_size 0 -c:v libx264 -c:a aac ../fil
           es/412-887123464/video/200p/out.m3u8  -s nhd -f hls -hls_list_size 0 -c:v libx264 -c:a aac ../files/412-887123464/video/360p/out.m3u8 -s hd480 -f hls -
           hls_list_size 0 -c:v libx264 -c:a aac ../files/412-887123464/video/480p/out.m3u8 -s hd720 -f hls -hls_list_size 0 -c:v libx264 -c:a aac ../files/412-88
           7123464/video/720p/out.m3u8 -s hd1080 -f hls -hls_list_size 0 -c:v libx264 -c:a aac ../files/412-887123464/video/1080p/out.m3u8
           ffmpeg version N-82225-gb4e9252 Copyright (c) 2000-2016 the FFmpeg developers
             built with gcc 5.4.0 (GCC)
             configuration: --enable-gpl --enable-version3 --disable-w32threads --enable-dxva2 --enable-libmfx --enable-nvenc --enable-avisynth --enable-bzlib --e
           nable-libebur128 --enable-fontconfig --enable-frei0r --enable-gnutls --enable-iconv --enable-libass --enable-libbluray --enable-libbs2b --enable-libcac
           a --enable-libfreetype --enable-libgme --enable-libgsm --enable-libilbc --enable-libmodplug --enable-libmp3lame --enable-libopencore-amrnb --enable-lib
           opencore-amrwb --enable-libopenh264 --enable-libopenjpeg --enable-libopus --enable-librtmp --enable-libschroedinger --enable-libsnappy --enable-libsoxr
            --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libwa
           vpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxavs --enable-libxvid --enable-libzimg --enable-lzma --enable-decklink --enable-zl
           ib
             libavutil      55. 35.100 / 55. 35.100
             libavcodec     57. 66.101 / 57. 66.101
             libavformat    57. 57.100 / 57. 57.100
             libavdevice    57.  2.100 / 57.  2.100
             libavfilter     6. 66.100 /  6. 66.100
             libswscale      4.  3.100 /  4.  3.100
             libswresample   2.  4.100 /  2.  4.100
             libpostproc    54.  2.100 / 54.  2.100
           Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '../files/412-887123464/video/412-887123464.mp4':
             Metadata:
               major_brand     : isom
               minor_version   : 512
               compatible_brands: isomiso2avc1mp41
               encoder         : Lavf57.31.100
             Duration: 00:05:04.07, start: 0.000000, bitrate: 3108 kb/s
               Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(tv, bt709), 1920x1080 [SAR 1:1 DAR 16:9], 2976 kb/s, 25 fps, 25 tbr, 90k tbn, 50
           tbc (default)
               Metadata:
                 handler_name    : VideoHandler
               Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 125 kb/s (default)
               Metadata:
                 handler_name    : SoundHandler
           [libx264 @ 0000000001c53f00] using SAR=10/9
           [libx264 @ 0000000001c53f00] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2
           [libx264 @ 0000000001c53f00] profile High, level 1.3
           Output #0, hls, to '../files/412-887123464/video/200p/out.m3u8':
             Metadata:
               major_brand     : isom
               minor_version   : 512
               compatible_brands: isomiso2avc1mp41
               encoder         : Lavf57.57.100
               Stream #0:0(und): Video: h264 (libx264), yuv420p, 320x200 [SAR 10:9 DAR 16:9], q=-1--1, 25 fps, 90k tbn, 25 tbc (default)
               Metadata:
                 handler_name    : VideoHandler
                 encoder         : Lavc57.66.101 libx264
               Side data:
                 cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
               Stream #0:1(und): Audio: aac (LC), 44100 Hz, stereo, fltp, 128 kb/s (default)
               Metadata:
                 handler_name    : SoundHandler
                 encoder         : Lavc57.66.101 aac
           [libx264 @ 0000000001f87180] using SAR=1/1
           [libx264 @ 0000000001f87180] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2
           [libx264 @ 0000000001f87180] profile High, level 3.0
           Output #1, hls, to '../files/412-887123464/video/360p/out.m3u8':
             Metadata:
               major_brand     : isom
               minor_version   : 512
               compatible_brands: isomiso2avc1mp41
               encoder         : Lavf57.57.100
               Stream #1:0(und): Video: h264 (libx264), yuv420p, 640x360 [SAR 1:1 DAR 16:9], q=-1--1, 25 fps, 90k tbn, 25 tbc (default)
               Metadata:
                 handler_name    : VideoHandler
                 encoder         : Lavc57.66.101 libx264
               Side data:
                 cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
               Stream #1:1(und): Audio: aac (LC), 44100 Hz, stereo, fltp, 128 kb/s (default)
               Metadata:
                 handler_name    : SoundHandler
                 encoder         : Lavc57.66.101 aac
           [libx264 @ 0000000001c55ba0] using SAR=640/639
           [libx264 @ 0000000001c55ba0] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2
           [libx264 @ 0000000001c55ba0] profile High, level 3.0
           Output #2, hls, to '../files/412-887123464/video/480p/out.m3u8':
             Metadata:
               major_brand     : isom
               minor_version   : 512
               compatible_brands: isomiso2avc1mp41
               encoder         : Lavf57.57.100
               Stream #2:0(und): Video: h264 (libx264), yuv420p, 852x480 [SAR 640:639 DAR 16:9], q=-1--1, 25 fps, 90k tbn, 25 tbc (default)
               Metadata:
                 handler_name    : VideoHandler
                 encoder         : Lavc57.66.101 libx264
               Side data:
                 cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
               Stream #2:1(und): Audio: aac (LC), 44100 Hz, stereo, fltp, 128 kb/s (default)
               Metadata:
                 handler_name    : SoundHandler
                 encoder         : Lavc57.66.101 aac
           [libx264 @ 0000000001ca0220] using SAR=1/1
           [libx264 @ 0000000001ca0220] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2
           [libx264 @ 0000000001ca0220] profile High, level 3.1
           Output #3, hls, to '../files/412-887123464/video/720p/out.m3u8':
             Metadata:
               major_brand     : isom
               minor_version   : 512
               compatible_brands: isomiso2avc1mp41
               encoder         : Lavf57.57.100
               Stream #3:0(und): Video: h264 (libx264), yuv420p, 1280x720 [SAR 1:1 DAR 16:9], q=-1--1, 25 fps, 90k tbn, 25 tbc (default)
               Metadata:
                 handler_name    : VideoHandler
                 encoder         : Lavc57.66.101 libx264
               Side data:
                 cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
               Stream #3:1(und): Audio: aac (LC), 44100 Hz, stereo, fltp, 128 kb/s (default)
               Metadata:
                 handler_name    : SoundHandler
                 encoder         : Lavc57.66.101 aac
           [libx264 @ 0000000001ca23e0] using SAR=1/1
           [libx264 @ 0000000001ca23e0] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2
           [libx264 @ 0000000001ca23e0] profile High, level 4.0
           Output #4, hls, to '../files/412-887123464/video/1080p/out.m3u8':
             Metadata:
               major_brand     : isom
               minor_version   : 512
               compatible_brands: isomiso2avc1mp41
               encoder         : Lavf57.57.100
               Stream #4:0(und): Video: h264 (libx264), yuv420p, 1920x1080 [SAR 1:1 DAR 16:9], q=-1--1, 25 fps, 90k tbn, 25 tbc (default)
               Metadata:
                 handler_name    : VideoHandler
                 encoder         : Lavc57.66.101 libx264
               Side data:
                 cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
               Stream #4:1(und): Audio: aac (LC), 44100 Hz, stereo, fltp, 128 kb/s (default)
               Metadata:
                 handler_name    : SoundHandler
                 encoder         : Lavc57.66.101 aac
           Stream mapping:
             Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))
             Stream #0:1 -> #0:1 (aac (native) -> aac (native))
             Stream #0:0 -> #1:0 (h264 (native) -> h264 (libx264))
             Stream #0:1 -> #1:1 (aac (native) -> aac (native))
             Stream #0:0 -> #2:0 (h264 (native) -> h264 (libx264))
             Stream #0:1 -> #2:1 (aac (native) -> aac (native))
             Stream #0:0 -> #3:0 (h264 (native) -> h264 (libx264))
             Stream #0:1 -> #3:1 (aac (native) -> aac (native))
             Stream #0:0 -> #4:0 (h264 (native) -> h264 (libx264))
             Stream #0:1 -> #4:1 (aac (native) -> aac (native))
           Press [q] to stop, [?] for help
    frame= 7600 fps= 21 q=-1.0 Lq=-1.0 q=-1.0 q=-1.0 q=-1.0 size=N/A time=00:05:04.06 bitrate=N/A speed=0.835x
    video:294980kB audio:23995kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
    [libx264 @ 0000000001d33f00] frame I:33    Avg QP:19.93  size: 11412
    [libx264 @ 0000000001d33f00] frame P:2281  Avg QP:23.72  size:  3112
    [libx264 @ 0000000001d33f00] frame B:5286  Avg QP:28.59  size:   446
    [libx264 @ 0000000001d33f00] consecutive B-frames:  4.3%  6.9%  5.9% 82.8%
    [libx264 @ 0000000001d33f00] mb I  I16..4: 12.9% 42.9% 44.2%
    [libx264 @ 0000000001d33f00] mb P  I16..4:  1.3%  4.4%  2.3%  P16..4: 41.4% 22.0% 15.5%  0.0%  0.0%    skip:13.1%
    [libx264 @ 0000000001d33f00] mb B  I16..4:  0.0%  0.1%  0.0%  B16..8: 35.2%  5.9%  2.1%  direct: 3.0%  skip:53.6%  L0:35.3% L1:48.0% BI:16.8%
    [libx264 @ 0000000001d33f00] 8x8 transform intra:53.4% inter:57.9%
    [libx264 @ 0000000001d33f00] coded y,uvDC,uvAC intra: 70.6% 89.7% 67.6% inter: 18.1% 20.3% 7.2%
    [libx264 @ 0000000001d33f00] i16 v,h,dc,p: 24% 24%  6% 45%
    [libx264 @ 0000000001d33f00] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 27% 14% 19%  5%  5%  7%  5% 10%  7%
    [libx264 @ 0000000001d33f00] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 31% 15% 15%  6%  6%  7%  6%  8%  6%
    [libx264 @ 0000000001d33f00] i8c dc,h,v,p: 42% 17% 28% 14%
    [libx264 @ 0000000001d33f00] Weighted P-Frames: Y:26.3% UV:12.9%
    [libx264 @ 0000000001d33f00] ref P L0: 58.7% 24.7% 10.9%  4.8%  1.0%
    [libx264 @ 0000000001d33f00] ref B L0: 92.6%  5.8%  1.6%
    [libx264 @ 0000000001d33f00] ref B L1: 96.3%  3.7%
    [libx264 @ 0000000001d33f00] kb/s:258.68
    [aac @ 00000000005fc9e0] Qavg: 686.637
    [libx264 @ 0000000002017180] frame I:31    Avg QP:19.77  size: 29228
    [libx264 @ 0000000002017180] frame P:2040  Avg QP:23.08  size:  8765
    [libx264 @ 0000000002017180] frame B:5529  Avg QP:27.28  size:  1471
    [libx264 @ 0000000002017180] consecutive B-frames:  1.3%  4.2%  2.4% 92.1%
    [libx264 @ 0000000002017180] mb I  I16..4:  8.3% 58.8% 32.9%
    [libx264 @ 0000000002017180] mb P  I16..4:  3.2%  9.5%  2.6%  P16..4: 41.5% 19.5% 11.4%  0.0%  0.0%    skip:12.2%
    [libx264 @ 0000000002017180] mb B  I16..4:  0.2%  0.3%  0.1%  B16..8: 34.5%  5.8%  1.7%  direct: 2.7%  skip:54.7%  L0:35.9% L1:49.5% BI:14.6%
    [libx264 @ 0000000002017180] 8x8 transform intra:61.2% inter:67.3%
    [libx264 @ 0000000002017180] coded y,uvDC,uvAC intra: 55.8% 84.8% 51.3% inter: 15.6% 19.3% 3.9%
    [libx264 @ 0000000002017180] i16 v,h,dc,p: 24% 29%  8% 39%
    [libx264 @ 0000000002017180] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 27% 17% 21%  5%  5%  7%  5%  8%  6%
    [libx264 @ 0000000002017180] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 29% 18% 15%  6%  7%  7%  6%  7%  5%
    [libx264 @ 0000000002017180] i8c dc,h,v,p: 42% 18% 27% 13%
    [libx264 @ 0000000002017180] Weighted P-Frames: Y:22.3% UV:12.2%
    [libx264 @ 0000000002017180] ref P L0: 58.5% 23.4% 12.2%  5.2%  0.8%
    [libx264 @ 0000000002017180] ref B L0: 93.1%  5.3%  1.6%
    [libx264 @ 0000000002017180] ref B L1: 96.6%  3.4%
    [libx264 @ 0000000002017180] kb/s:708.47
    [aac @ 0000000001d35200] Qavg: 686.637
    [libx264 @ 0000000001d35ba0] frame I:31    Avg QP:19.63  size: 41522
    [libx264 @ 0000000001d35ba0] frame P:2025  Avg QP:22.86  size: 13415
    [libx264 @ 0000000001d35ba0] frame B:5544  Avg QP:26.52  size:  2471
    [libx264 @ 0000000001d35ba0] consecutive B-frames:  1.1%  3.9%  2.8% 92.2%
    [libx264 @ 0000000001d35ba0] mb I  I16..4: 10.6% 62.4% 26.9%
    [libx264 @ 0000000001d35ba0] mb P  I16..4:  4.7% 12.4%  2.6%  P16..4: 41.1% 17.8%  9.4%  0.0%  0.0%    skip:11.9%
    [libx264 @ 0000000001d35ba0] mb B  I16..4:  0.3%  0.5%  0.1%  B16..8: 34.0%  5.5%  1.4%  direct: 2.9%  skip:55.3%  L0:36.7% L1:50.2% BI:13.1%
    [libx264 @ 0000000001d35ba0] 8x8 transform intra:61.7% inter:71.6%
    [libx264 @ 0000000001d35ba0] coded y,uvDC,uvAC intra: 48.0% 81.9% 43.3% inter: 14.7% 19.7% 2.6%
    [libx264 @ 0000000001d35ba0] i16 v,h,dc,p: 27% 29%  9% 35%
    [libx264 @ 0000000001d35ba0] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 27% 19% 22%  5%  5%  6%  5%  7%  5%
    [libx264 @ 0000000001d35ba0] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 26% 25% 16%  5%  6%  7%  6%  6%  4%
    [libx264 @ 0000000001d35ba0] i8c dc,h,v,p: 42% 20% 26% 12%
    [libx264 @ 0000000001d35ba0] Weighted P-Frames: Y:18.1% UV:10.8%
    [libx264 @ 0000000001d35ba0] ref P L0: 59.5% 22.6% 12.6%  4.8%  0.5%
    [libx264 @ 0000000001d35ba0] ref B L0: 93.6%  5.0%  1.4%
    [libx264 @ 0000000001d35ba0] ref B L1: 97.1%  2.9%
    [libx264 @ 0000000001d35ba0] kb/s:1109.23
    [aac @ 0000000001d828a0] Qavg: 686.637
    [libx264 @ 0000000001d7f880] frame I:32    Avg QP:19.45  size: 64737
    [libx264 @ 0000000001d7f880] frame P:2104  Avg QP:22.44  size: 23985
    [libx264 @ 0000000001d7f880] frame B:5464  Avg QP:25.65  size:  4999
    [libx264 @ 0000000001d7f880] consecutive B-frames:  1.2%  7.7%  3.2% 87.8%
    [libx264 @ 0000000001d7f880] mb I  I16..4: 12.5% 70.0% 17.5%
    [libx264 @ 0000000001d7f880] mb P  I16..4:  6.7% 17.1%  1.8%  P16..4: 40.7% 14.9%  6.6%  0.0%  0.0%    skip:12.2%
    [libx264 @ 0000000001d7f880] mb B  I16..4:  0.6%  0.9%  0.1%  B16..8: 32.5%  4.7%  1.0%  direct: 2.9%  skip:57.4%  L0:37.6% L1:51.6% BI:10.8%
    [libx264 @ 0000000001d7f880] 8x8 transform intra:65.7% inter:77.5%
    [libx264 @ 0000000001d7f880] coded y,uvDC,uvAC intra: 39.5% 76.4% 32.4% inter: 13.2% 19.8% 1.5%
    [libx264 @ 0000000001d7f880] i16 v,h,dc,p: 32% 27% 10% 31%
    [libx264 @ 0000000001d7f880] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 30% 18% 23%  4%  5%  5%  4%  5%  4%
    [libx264 @ 0000000001d7f880] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 29% 20% 15%  5%  7%  7%  6%  6%  4%
    [libx264 @ 0000000001d7f880] i8c dc,h,v,p: 42% 19% 27% 12%
    [libx264 @ 0000000001d7f880] Weighted P-Frames: Y:10.5% UV:6.7%
    [libx264 @ 0000000001d7f880] ref P L0: 62.3% 20.4% 12.7%  4.3%  0.3%
    [libx264 @ 0000000001d7f880] ref B L0: 93.4%  5.2%  1.4%
    [libx264 @ 0000000001d7f880] ref B L1: 97.7%  2.3%
    [libx264 @ 0000000001d7f880] kb/s:2101.26
    [aac @ 0000000001d81560] Qavg: 686.637
    [libx264 @ 0000000001d7fd60] frame I:33    Avg QP:18.36  size: 98904
    [libx264 @ 0000000001d7fd60] frame P:3180  Avg QP:21.67  size: 33377
    [libx264 @ 0000000001d7fd60] frame B:4387  Avg QP:24.61  size:  7729
    [libx264 @ 0000000001d7fd60] consecutive B-frames:  2.7% 55.9% 15.6% 25.9%
    [libx264 @ 0000000001d7fd60] mb I  I16..4: 22.4% 66.9% 10.7%
    [libx264 @ 0000000001d7fd60] mb P  I16..4:  9.9% 17.8%  0.7%  P16..4: 40.4%  9.2%  3.0%  0.0%  0.0%    skip:19.0%
    [libx264 @ 0000000001d7fd60] mb B  I16..4:  0.8%  1.3%  0.1%  B16..8: 30.2%  2.6%  0.4%  direct: 1.7%  skip:63.0%  L0:38.1% L1:54.9% BI: 7.0%
    [libx264 @ 0000000001d7fd60] 8x8 transform intra:62.5% inter:82.9%
    [libx264 @ 0000000001d7fd60] coded y,uvDC,uvAC intra: 25.4% 59.5% 11.6% inter: 9.6% 16.3% 0.7%
    [libx264 @ 0000000001d7fd60] i16 v,h,dc,p: 33% 28% 15% 24%
    [libx264 @ 0000000001d7fd60] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 34% 20% 29%  3%  3%  4%  3%  3%  3%
    [libx264 @ 0000000001d7fd60] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 30% 25% 16%  4%  6%  6%  5%  5%  4%
    [libx264 @ 0000000001d7fd60] i8c dc,h,v,p: 39% 21% 28% 12%
    [libx264 @ 0000000001d7fd60] Weighted P-Frames: Y:5.7% UV:3.6%
    [libx264 @ 0000000001d7fd60] ref P L0: 70.0% 18.6%  8.3%  3.1%  0.1%
    [libx264 @ 0000000001d7fd60] ref B L0: 91.4%  7.6%  1.0%
    [libx264 @ 0000000001d7fd60] ref B L1: 99.0%  1.0%
    [libx264 @ 0000000001d7fd60] kb/s:3771.31
    [aac @ 0000000001d823e0] Qavg: 686.637

    But I don’t have any problem for streaming files with creating resolutions from a file which have lower orginal quality than hd1080
    What I can to do ?