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• ffmpeg converting JPG slideshow to MKV

  17 décembre 2018, par phol

  I am trying to convert a set of jpg files to a slideshow with varying durations using ffconcat

  output.txt contents :

  ffconcat version 1.0
  
  file slide_0001.jpg
  
  duration 0.163
  
  file slide_0002.jpg
  
  duration 0.533
  
  file slide_0003.jpg
  
  duration 1.067
  
  file slide_0004.jpg
  
  duration 0.533
  
  file slide_0005.jpg
  
  etc.

  FFmpeg command :

  ffmpeg -i output.txt output.mkv

  I also tried :

  ffmpeg -i output.txt -c:v copy output.mkv

  However, when converting, the colours of the images become skewed.
  White becomes pink / purple and dark green becomes light green.
  The same happens when choosing different codecs and containers.
  Is there a way to solve this ?

  EDIT :
  I performed the same conversion again. I attached the log output as requested.
  However, in the meantime I have figured out that converting without ffconcat duration and then altering timecodes with mp4fpsmod is more efficient in terms of storage (3 vs 40 MB) and gives less issues in different players. The result is nonetheless the same : colours are still wrong, both on my workstation (Ubuntu 18.04) and laptop (macOS Mojave).

  I tried to alter things with pix_fmt and -vf format as can be seen in the second log output. This did not solve the problem.

  Background info :
  The input jpg files are from a lecture recording made with MediaSite, which has both a video stream for the room as well as this slideshow stream for the slides.

  Example of input :
  
  Example of output :
  
  log output MKV conversion :

      $ ffmpeg -i outputnew.txt output12345.mkv
  
  ffmpeg version 4.1 Copyright (c) 2000-2018 the FFmpeg developers
  
  built with Apple LLVM version 10.0.0 (clang-1000.11.45.5)
  
  configuration: --prefix=/usr/local/Cellar/ffmpeg/4.1 --enable-shared --enable-pthreads --enable-version3 --enable-hardcoded-tables --enable-avresample --cc=clang --host-cflags= --host-ldflags= --enable-ffplay --enable-gpl --enable-libmp3lame --enable-libopus --enable-libsnappy --enable-libtheora --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-libxvid --enable-lzma --enable-opencl --enable-videotoolbox
  
  libavutil      56. 22.100 / 56. 22.100
  
  libavcodec     58. 35.100 / 58. 35.100
  
  libavformat    58. 20.100 / 58. 20.100
  
  libavdevice    58.  5.100 / 58.  5.100
  
  libavfilter     7. 40.101 /  7. 40.101
  
  libavresample   4.  0.  0 /  4.  0.  0
  
  libswscale      5.  3.100 /  5.  3.100
  
  libswresample   3.  3.100 /  3.  3.100
  
  libpostproc    55.  3.100 / 55.  3.100
  
  Input #0, concat, from 'outputnew.txt':
  
  Duration: N/A, start: 0.000000, bitrate: N/A
  
      Stream #0:0: Video: mjpeg, yuvj444p(pc, bt470bg/unknown/unknown), 1280x720, 25 tbr, 25 tbn, 25 tbc
  
  Stream mapping:
  
  Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))
  
  Press [q] to stop, [?] for help
  
  [libx264 @ 0x7fb284802800] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
  
  [libx264 @ 0x7fb284802800] profile High 4:4:4 Predictive, level 3.1, 4:4:4 8-bit
  
  [libx264 @ 0x7fb284802800] 264 - core 152 r2854 e9a5903 - H.264/MPEG-4 AVC codec - Copyleft 2003-2017 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x1:0x111 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=0 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, matroska, to 'output12345.mkv':
  
  Metadata:
  
      encoder         : Lavf58.20.100
  
      Stream #0:0: Video: h264 (libx264) (H264 / 0x34363248), yuvj444p(pc), 1280x720, q=-1--1, 25 fps, 1k tbn, 25 tbc
  
      Metadata:
  
      encoder         : Lavc58.35.100 libx264
  
      Side data:
  
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
  
  [mjpeg @ 0x7fb284061200] EOI missing, emulating=00:02:12.96 bitrate= 491.3kbits/s speed=14.3x        
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte= 487.2kbits/s speed=14.3x    
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte= 333.0kbits/s speed=22.3x    
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte= 338.8kbits/s speed=22.7x    
  
      Last message repeated 2 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte= 164.7kbits/s speed=41.6x    
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte= 122.7kbits/s speed=55.7x    
  
      Last message repeated 1 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte= 111.2kbits/s speed=60.5x    
  
      Last message repeated 1 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte= 105.3kbits/s speed=64.4x    
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  82.2kbits/s speed=82.7x    
  
      Last message repeated 1 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  79.7kbits/s speed=85.8x    
  
      Last message repeated 2 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  59.7kbits/s speed= 114x    
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  53.8kbits/s speed= 127x    
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  54.7kbits/s speed= 124x    
  
      Last message repeated 1 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  47.1kbits/s speed= 143x    
  
      Last message repeated 1 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  47.0kbits/s speed= 144x    
  
      Last message repeated 1 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  44.6kbits/s speed= 151x    
  
      Last message repeated 1 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  34.4kbits/s speed= 194x    
  
      Last message repeated 2 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  32.9kbits/s speed= 204x    
  
      Last message repeated 2 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  32.8kbits/s speed= 203x    
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  32.6kbits/s speed= 202x    
  
      Last message repeated 1 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  28.8kbits/s speed= 229x    
  
      Last message repeated 2 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  27.9kbits/s speed= 236x    
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  27.9kbits/s speed= 233x    
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  23.9kbits/s speed= 274x    
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  24.2kbits/s speed= 273x    
  
      Last message repeated 2 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  24.2kbits/s speed= 274x    
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  24.0kbits/s speed= 276x    
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  24.2kbits/s speed= 273x    
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  23.6kbits/s speed= 278x    
  
      Last message repeated 1 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  23.7kbits/s speed= 279x    
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  23.6kbits/s speed= 279x    
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  24.0kbits/s speed= 276x    
  
      Last message repeated 1 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  23.5kbits/s speed= 281x    
  
      Last message repeated 1 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  20.4kbits/s speed= 325x    
  
  [mjpeg @ 0x7fb28502a000] EOI missing, emulating
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  20.1kbits/s speed= 329x    
  
      Last message repeated 1 times
  
  [matroska @ 0x7fb284812e00] Starting new cluster due to timestampte=  20.1kbits/s speed= 330x    
  
  frame=  635 fps= 14 q=-1.0 Lsize=   37389kB time=04:22:06.76 bitrate=  19.5kbits/s speed= 343x    
  
  video:37378kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.029620%
  
  [libx264 @ 0x7fb284802800] frame I:16    Avg QP:11.98  size:154224
  
  [libx264 @ 0x7fb284802800] frame P:184   Avg QP:13.30  size: 79029
  
  [libx264 @ 0x7fb284802800] frame B:435   Avg QP:13.19  size: 48887
  
  [libx264 @ 0x7fb284802800] consecutive B-frames:  6.0%  4.4% 10.9% 78.7%
  
  [libx264 @ 0x7fb284802800] mb I  I16..4: 55.7%  0.0% 44.3%
  
  [libx264 @ 0x7fb284802800] mb P  I16..4: 32.4%  0.0% 21.5%  P16..4: 13.3% 15.1% 11.3%  0.0%  0.0%    skip: 6.4%
  
  [libx264 @ 0x7fb284802800] mb B  I16..4: 17.8%  0.0%  7.2%  B16..8: 19.1% 19.4%  6.5%  direct:14.6%  skip:15.3%  L0:47.0% L1:38.9% BI:14.1%
  
  [libx264 @ 0x7fb284802800] coded y,u,v intra: 63.7% 26.1% 56.3% inter: 46.5% 24.6% 43.5%
  
  [libx264 @ 0x7fb284802800] i16 v,h,dc,p: 19% 18% 58%  4%
  
  [libx264 @ 0x7fb284802800] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 35% 20% 25%  4%  4%  3%  3%  3%  3%
  
  [libx264 @ 0x7fb284802800] Weighted P-Frames: Y:5.4% UV:5.4%
  
  [libx264 @ 0x7fb284802800] ref P L0: 43.2%  4.4% 30.8% 21.4%  0.2%
  
  [libx264 @ 0x7fb284802800] ref B L0: 64.1% 27.3%  8.6%
  
  [libx264 @ 0x7fb284802800] ref B L1: 85.3% 14.7%
  
  [libx264 @ 0x7fb284802800] kb/s:19.25

  Log output mp4 conversion :

  $ ffmpeg -i slide_%04d.jpg -vf format=rgba -pix_fmt yuv420p -vcodec libx264 -movflags +faststart -preset veryslow output12345.mp4
  
  ffmpeg version 4.1 Copyright (c) 2000-2018 the FFmpeg developers
  
  built with Apple LLVM version 10.0.0 (clang-1000.11.45.5)
  
  configuration: --prefix=/usr/local/Cellar/ffmpeg/4.1 --enable-shared --enable-pthreads --enable-version3 --enable-hardcoded-tables --enable-avresample --cc=clang --host-cflags= --host-ldflags= --enable-ffplay --enable-gpl --enable-libmp3lame --enable-libopus --enable-libsnappy --enable-libtheora --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-libxvid --enable-lzma --enable-opencl --enable-videotoolbox
  
  libavutil      56. 22.100 / 56. 22.100
  
  libavcodec     58. 35.100 / 58. 35.100
  
  libavformat    58. 20.100 / 58. 20.100
  
  libavdevice    58.  5.100 / 58.  5.100
  
  libavfilter     7. 40.101 /  7. 40.101
  
  libavresample   4.  0.  0 /  4.  0.  0
  
  libswscale      5.  3.100 /  5.  3.100
  
  libswresample   3.  3.100 /  3.  3.100
  
  libpostproc    55.  3.100 / 55.  3.100
  
  Input #0, image2, from 'slide_%04d.jpg':
  
  Duration: 00:00:25.36, start: 0.000000, bitrate: N/A
  
      Stream #0:0: Video: mjpeg, yuvj444p(pc, bt470bg/unknown/unknown), 1280x720, 25 fps, 25 tbr, 25 tbn, 25 tbc
  
  File 'output12345.mp4' already exists. Overwrite ? [y/N] y
  
  Stream mapping:
  
  Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))
  
  Press [q] to stop, [?] for help
  
  [swscaler @ 0x7fb7e280b000] deprecated pixel format used, make sure you did set range correctly
  
  [libx264 @ 0x7fb7e1803c00] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
  
  [libx264 @ 0x7fb7e1803c00] profile High, level 5.0
  
  [libx264 @ 0x7fb7e1803c00] 264 - core 152 r2854 e9a5903 - H.264/MPEG-4 AVC codec - Copyleft 2003-2017 - http://www.videolan.org/x264.html - options: cabac=1 ref=16 deblock=1:0:0 analyse=0x3:0x133 me=umh subme=10 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=24 chroma_me=1 trellis=2 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=6 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=8 b_pyramid=2 b_adapt=2 b_bias=0 direct=3 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=60 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 'output12345.mp4':
  
  Metadata:
  
      encoder         : Lavf58.20.100
  
      Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuv420p, 1280x720, q=-1--1, 25 fps, 12800 tbn, 25 tbc
  
      Metadata:
  
      encoder         : Lavc58.35.100 libx264
  
      Side data:
  
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
  
  [mp4 @ 0x7fb7e1801800] Starting second pass: moving the moov atom to the beginning of the file     
  
  frame=  634 fps=8.5 q=-1.0 Lsize=    2252kB time=00:00:25.24 bitrate= 731.0kbits/s speed=0.337x    
  
  video:2245kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.307448%
  
  [libx264 @ 0x7fb7e1803c00] frame I:5     Avg QP:19.12  size: 49393
  
  [libx264 @ 0x7fb7e1803c00] frame P:131   Avg QP:22.18  size:  9379
  
  [libx264 @ 0x7fb7e1803c00] frame B:498   Avg QP:23.78  size:  1652
  
  [libx264 @ 0x7fb7e1803c00] consecutive B-frames:  3.2%  1.6%  3.3% 29.7%  7.9% 16.1%  7.7% 16.4% 14.2%
  
  [libx264 @ 0x7fb7e1803c00] mb I  I16..4: 45.7% 37.9% 16.4%
  
  [libx264 @ 0x7fb7e1803c00] mb P  I16..4:  6.0%  5.3%  1.3%  P16..4: 19.9%  1.9%  3.7%  0.3%  0.1%    skip:61.5%
  
  [libx264 @ 0x7fb7e1803c00] mb B  I16..4:  0.3%  0.4%  0.1%  B16..8: 17.5%  1.0%  0.2%  direct: 0.3%  skip:80.2%  L0:52.3% L1:46.9% BI: 0.8%
  
  [libx264 @ 0x7fb7e1803c00] 8x8 transform intra:43.0% inter:48.9%
  
  [libx264 @ 0x7fb7e1803c00] direct mvs  spatial:99.2% temporal:0.8%
  
  [libx264 @ 0x7fb7e1803c00] coded y,uvDC,uvAC intra: 16.9% 25.8% 16.6% inter: 1.1% 1.9% 1.2%
  
  [libx264 @ 0x7fb7e1803c00] i16 v,h,dc,p: 61% 28%  6%  6%
  
  [libx264 @ 0x7fb7e1803c00] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 20%  9% 50%  3%  4%  3%  3%  3%  5%
  
  [libx264 @ 0x7fb7e1803c00] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 18% 23% 19%  5%  7%  6%  6%  5% 10%
  
  [libx264 @ 0x7fb7e1803c00] i8c dc,h,v,p: 46% 40% 13%  1%
  
  [libx264 @ 0x7fb7e1803c00] Weighted P-Frames: Y:5.3% UV:5.3%
  
  [libx264 @ 0x7fb7e1803c00] ref P L0: 33.2%  3.1% 11.6%  7.3%  8.8%  6.4%  6.5%  3.1%  3.2%  2.6%  2.4%  2.5%  2.8%  2.8%  2.3%  1.4%
  
  [libx264 @ 0x7fb7e1803c00] ref B L0: 42.0% 15.1% 12.0%  5.4%  4.9%  4.3%  4.0%  1.9%  2.0%  1.8%  1.7%  1.8%  1.7%  1.1%  0.5%
  
  [libx264 @ 0x7fb7e1803c00] ref B L1: 83.5% 16.5%
  
  [libx264 @ 0x7fb7e1803c00] kb/s:725.10

  Player :
  QuickTime, VLC and Kodi on both Linux and Mac.

  EDIT 2 :
  Input files : https://drive.google.com/open?id=1kbBkSDSwe6ywgQ8lkjqkh-MKCzGA4bj8

• 11 of the Most Effective Conversion Rate Optimisation Best Practices

  14 février 2024, par Erin

  Driving more traffic to your website is hard work, but it’s still only half the battle. 

  You don’t just need to acquire new users ; you need to make sure as many convert as possible to make your digital marketing efforts worthwhile.

  That’s why improving your site’s conversion rate is so important. It will also help you get more value from your existing traffic source and keep you in line with your competitors. It’s also probably a lot easier than you think — especially if you adopt optimisation strategies that have been proven to be profitable time and time again. 

  In this article, we’ll show some of the most powerful, innovative and tried-and-tested conversion rate optimisation strategies you can implement immediately. 

  What is conversion rate optimisation ?

  First, let’s look at what conversion rate optimisation means. Conversion rate optimisation is the practice of improving elements of your website to increase the number of users who take a desired action and turn visitors into customers. 

  Common conversion goals include :

  • Making a purchase
  • Adding an item to a shopping cart
  • Signing up for a newsletter
  • Registering for a free trial
  • Downloading an ebook
  • Watching a video

  It doesn’t matter what your goal is. Using one of the following conversion rate optimisation best practices can send your conversions soaring. 

  11 conversion rate optimisation best practices 

  Are you ready to roll up your sleeves and get to work ? Then use one or more of the following best practices to improve your return on investment. 

  Set a clear goals and hypothesis

  When running an A/B or multivariate test, you need a clear idea of what you are testing and why. 

  A goal (a statement about what you want to achieve) and a hypothesis (a statement about what you expect to happen) clarify the problem you are trying to solve and give you a definitive way to judge the experiment’s results. 

  Confused ? Just use this template :

  We aim to [insert goal] by testing [insert test] on [insert page]. We expect that [insert test] will increase [insert metric] because [insert reason].

  Make sure your goals are directly related to the experiment. If you are testing your CTA button, the goal should be getting more users to click the button. It shouldn’t be a goal further down the conversion funnel, like making a purchase. 

  Start with A/B tests

  A/B testing is one of the easiest and most effective ways to run experiments to improve your current conversion rate. So, it’s no wonder that the A/B testing software market was expected to be worth $1.2 billion in 2023 and hit $3.6 billion by 2033. 

  Also known as split testing, A/B testing allows you to directly compare the conversion performance of two elements on your page, like the colour of your CTA button or your headline copy.

  

  You can go even further with multivariate testing, which lets you test two or more changes against a single control. 

  For example, the screenshot above shows the results of a multivariate test between a standard header, a wide header and a small header using Matomo’s A/B testing tool. As you can see, the wider header has a much higher conversion, and the increase was statistically significant. 

  Try Matomo for Free

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

  Start for free

  No credit card required

  Tweak your CTAs

  Calls to action (CTAs) are page elements that prompt users to respond immediately. They are usually buttons but can also be images or plain text links. 

  What your CTAs say, how they look, and where they are placed can greatly impact your site’s conversion rates. As such, this is one of the elements you’ll want to optimise first. 

  There are several tweaks you can test, including your CTA’s :

  • Colour 
  • Length 
  • Copy
  • Placement 

  You can even test the impact of removing CTA banners and using text-based CTAs on your conversion rates.

  You should test out personalising CTAs, too. Research shows that personalised CTAs perform 202% better than standard calls to action. 

  Revise your web copy

  You can use several strategies to improve your website’s copy and generate more conversions. 

  Optimising copy for search engines can increase traffic and generate more conversions, for example. But that shouldn’t make your copy any less impactful. Bear search engines in mind, by all means, but make sure you are speaking to the needs and desires of your potential customers. Your copy needs to convince users that your product can solve their problems. 

  Nowhere is this more important than your headlines. These will be the first thing users read, so make sure they sell your USP and highlight pain points.

  Don’t just guess at the kind of messaging that will move the needle, however. Constantly test new headlines and continue doing so even after you’ve started seeing success. The results may surprise you. TruckersReport, a site that helps people become truck drivers, boosted opt-ins by 21.7% by revising its landing page headline, among other changes. 

  Make sure there are no spelling mistakes in your copy, either. Misspelt words, poor grammar and bad formatting make your website look unprofessional and untrustworthy. Even if the rest of your copy is incredibly enticing, these rookie errors can be enough to turn customers off. 

  Simplify your site’s navigation

  A website’s navigation is an often overlooked factor in conversion rate optimisation, but simplifying it can make it much easier for users to take action. 

  If you’ve ever used a poorly designed e-commerce store, you know how confusing and overwhelming bad navigation can be. Research shows that a whopping 82% of stores don’t divide their navigation into manageable chunks. 

  The trick is to simplify your navigation as much as possible. As you can see in the screenshot below, our navigation only has five headers and a call to action. It’s easy to find exactly what you’re looking for, and you can’t miss the big green CTA button. 

  

  Alternatively, you can test what happens when you completely remove your navigation. Brands usually do this on landing pages where the only action they want the user to take is to make a purchase. 

  

  It’s exactly the strategy we’ve used on our free trial landing page. 

  Leverage heatmaps

  Analytics tools — and heatmaps in particular — can help you understand user behaviour and optimise accordingly. 

  Heatmaps are a visual representation of user interaction on your page. Red and yellow represent high levels of user interaction, and blue and green represent low levels of interaction.

  

  As you can see in the screenshot above, our CTA button has some of the highest levels of engagement on the page, telling us that it’s well-positioned. Given the focus on the site’s navigation, we can also assume we are correct to have a CTA button in there — something we can confirm using our web analytics to see how many users click on it.

  Reduce load time

  Speed matters when it comes to conversions. Fact. 

  Research shows a huge difference in conversion rates between quick and slow sites. For example, a site that loads in one second converts three times better than a site that loads in five seconds. 

  That’s why using a web analytics tool is vital to understand page load times and act accordingly if you think slow speeds are hampering your conversions.

  

  Identifying your slowest pages is easy with Matomo. Just sort your pages by the Avg. Use the page load time metric on the page performance report to identify the pages you want to drive conversions. 

  Next, take steps to improve your page’s load time by :

  • Compressing images
  • Compressing code files or using a more lightweight theme
  • Removing unnecessary plugins
  • Using a content delivery network
  • Improving your hosting

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  Add more trust signals

  Trust is essential when you’re trying to convince customers to make a purchase. In fact, consumers rate trust as one of the top three buying factors, far above a brand’s reputation and whether they love the brand. 

  Adding trust signals to your landing pages, such as customer testimonials, customer reviews, case studies, and other forms of social proof, can transform your conversion rates. If consumers see real people and businesses buy from you, they’ll feel reassured to do the same.

  

  It’s a strategy we use ourselves. Just look at the screenshot from our homepage above. Immediately after our free trial CTA, we display the logos of well-known brands that use our product. 

  Security-focused trust signals are also powerful if you are an online store. Installing an SSL certificate, showing logos of trusted payment providers (like PayPal and Mastercard) can convince people they are spending money at a legitimate store.

  Improve your site’s mobile experience

  More and more people are accessing the internet via their smartphones. In 2022, for instance, there were five billion unique mobile Internet users, meaning more than 60% of the internet population used a smartphone to browse online. 

  Moreover, 76% of U.S. adults make purchases using their smartphones. 

  That means you need to ensure your site’s mobile experience is on-point to increase conversions. 

  Your site should use a mobile-first design, meaning it works perfectly on smartphones and then scales up for desktop users. 

  Trust the data

  Opinions are a fantastic form of inspiration for new A/B tests. But they should never be trusted over cold, hard data. If your test shows the opposite of what you and your team thought would happen, then trust the data and not yourself.

  With that in mind, ensure you collect qualitative and quantitative data during your experiments. Web analytics should always form the backbone of conversion tests, but don’t forget to also use heatmaps, screen recordings, and customer surveys. 

  Keep testing

  There’s no such word as “finished” in the world of A/B testing. Continual testing is key if you want to convert more website visitors. 

  Make sure you aren’t stopping tests prematurely, either. Make sure every A/B and multivariate test reaches a sample size that makes the test statistically significant. 

  Understand your users better with Matomo 

  Whether you run an e-commerce store, a SaaS company, or a service-based business, implementing these conversion rate optimisation best practices could be an easy way to lower your bounce rate and boost your conversion rates.

  But remember, best practices aren’t clear-cut rules. What works for one website may not work for yours. That’s why running your own tests and understanding your visitors’ behaviour is important. 

  Matomo’s web analytics platform is the perfect tool for doing just that. Not only does it come with the tools you need to optimise your conversion rate (like an A/B testing tool, heatmaps and session recordings), but you can also trust the data. Unlike Google Analytics 4 and other tools, Matomo doesn’t use data sampling meaning you have 100% accurate data from which to make better decisions. It’s GDPR compliant and can run cookieless, so no need for cookie consent banners (excluding in the UK and Germany).

  Discover how you can improve your website’s conversions with Matomo by starting a free 21-day trial, no credit card required.

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• 6 Crucial Benefits of Conversion Rate Optimisation

  26 février 2024, par Erin

  Whether investing time or money in marketing, you want the best return on your investment. You want to get as many customers as possible with your budget and resources.

  That’s what conversion rate optimisation (CRO) aims to do. But how does it help you achieve this major goal ? 

  This guide explores the concrete benefits of conversion rate optimisation and how they lead to more effective marketing and ROI. We’ll also introduce specific CRO best practices to help unlock these benefits.

  What is conversion rate optimisation ?

  Conversion rate optimisation (CRO) is the process of examining your website for improvements and creating tests to increase the number of visitors who take a desired action, like purchasing a product or submitting a form.

  The conversion rate is the percentage of visitors who complete a specific goal.

  

  In order to improve your conversion rate, you need to figure out :

  • Where your customers come from
  • How potential customers navigate or interact with your website
  • Where potential customers are likely to exit your site (or abandon carts)
  • What patterns drive valuable actions like sign-ups and sales

  From there, you can gradually implement changes that will drive more visitors to convert. That’s the essence of conversion rate optimisation.

  6 top benefits of conversion rate optimisation (and best practices to unlock them)

  Conversion rate optimisation can help you get more out of your campaigns without investing more. CRO helps you in these six ways :

  1. Understand your visitors (and customers) better

  The main goal of CRO is to boost conversions, but it’s more than that. In the process of improving conversion rates, you’ll also benefit by gaining deep insights into user behaviour, preferences, and needs. 

  Using web analytics, tests and behavioural analytics, CRO helps marketers shape their website to match what users need.

  Best practices for understanding your customer :

  First, analyse how visitors act with full context (the pages they view, how long they stay and more). 

  In Matomo, you can use the Users Flow report to understand how visitors navigate through your site. This will help you visualise and identify trends in the buyer’s journey.

  

  Then, you can dive deeper by defining and analysing journeys with Funnels. This shows you how many potential customers follow through each step in your defined journey and identify where you might have a leaky funnel. 

  

  In the above Funnel Report, nearly half of our visitors, just 44%, are moving forward in the buyer’s journey after landing on our scuba diving mask promotion page. With 56% of potential customers dropping off at this page, it’s a prime opportunity for optimising conversions.

  Think of Funnels as your map, and pages with high drop-off rates as valuable opportunities for improvement.

  Once you notice patterns, you can try to identify the why. Analyse the pages, do user testing and do your best to improve them.

  2. Deliver a better user experience

  A better understanding of your customers’ needs means you can deliver a better user experience.

  

  For example, if you notice many people spend more time than expected on a particular step in the sign-up process, you can work to streamline it.

  Best practices for improving your user experience : 

  To do this, you need to come up with testable hypotheses. Start by using Heatmaps and Session Recordings to visualise the user experience and understand where visitors are hesitating, experiencing points of frustration, and exiting. 

  You need to outline what drives certain patterns in behaviour — like cart abandonment for specific products, and what you think can fix them.

  

  Let’s look at an example. In the screenshot above, we used Matomo’s Heatmap feature to analyse user behaviour on our website. 

  Only 65% of visitors scroll down far enough to encounter our main call to action to “Write a Review.” This insight suggests a potential opportunity for optimisation, where we can focus efforts on encouraging more users to engage with this key element on our site.

  Once you’ve identified an area of improvement, you need to test the results of your proposed solution to the problem. The most common way to do this is with an A/B test. 

  This is a test where you create a new version of the problematic page, trying different titles, comparing long, and short copy, adding or removing images, testing variations of call-to-action buttons and more. Then, you compare the results — the conversion rate — against the original. With Matomo’s A/B Testing feature, you can easily split traffic between the original and one or more variations.

  

  In the example above from Matomo, we can see that testing different header sizes on a page revealed that the wider header led to a higher conversion rate of 47%, compared to the original rate of 35% and the smaller header’s 36%.

  Matomo’s report also analyses the “statistical significance” of the difference in results. Essentially, this is the likelihood that the difference comes from the changes you made in the variation. With a small sample size, random patterns (like one page receiving more organic search visits) can cause the differences.

  If you see a significant change over a larger sample size, you can be fairly certain that the difference is meaningful. And that’s exactly what a high statistical significance rating indicates in Matomo. 

  Once a winner is identified, you can apply the change and start a new experiment. 

  3. Create a culture of data-driven decision-making

  Marketers can no longer afford to rely on guesswork or gamble away budgets and resources. In our digital age, you must use data to get ahead of the competition. In 2021, 65% of business leaders agreed that decisions were getting more complex.

  CRO is a great way to start a company-wide focus on data-driven decision-making. 

  Best practices to start a data-driven culture :
  

  Don’t only test “hunches” or “best practices” — look at the data. Figure out the patterns that highlight how different types of visitors interact with your site.

  Try to answer these questions :

  • How do our most valuable customers interact with our site before purchasing ?
  • How do potential customers who abandon their carts act ?
  • Where do our most valuable customers come from ?

  Moreover, it’s key to democratise insights by providing multiple team members access to information, fostering informed decision-making company-wide.

  4. Lower your acquisition costs and get higher ROI from all marketing efforts

  Once you make meaningful optimisations, CRO can help you lower customer acquisition costs (CAC). Getting new customers through advertising will be cheaper.

  As a result, you’ll get a better return on investment (ROI) on all your campaigns. Every ad and dollar invested will get you closer to a new customer than before. That’s the bottom line of CRO.

  Best practices to lower your CAC (customer acquisition costs) through CRO adjustments :

  The easiest way to lower acquisition costs is to understand where your customers come from. Use marketing attribution to track the results of your campaigns, revealing how each touchpoint contributes to conversions and revenue over time, beyond just last-click attribution.

  You can then compare the number of conversions to the marketing costs of each channel, to get a channel-specific breakdown of CAC.

  This performance overview can help you quickly prioritise the best value channels and ads, lowering your CAC. But these are only surface-level insights. 

  You can also further lower CAC by optimising the pages these campaigns send visitors to. Start with a deep dive into your landing pages using features like Matomo’s Session Recordings or Heatmaps.

  They can help you identify issues with an unengaging user experience or content. Using these insights, you can create A/B tests, where you implement a new page that replaces problematic headlines, buttons, copy, or visuals.

  

  When a test shows a statistically significant improvement in conversion rates, implement the new version. Repeat this over time, and you can increase your conversion rates significantly, getting more customers with the same spend. This will reduce your customer acquisition costs, and help your company grow faster without increasing your ad budget.

  5. Improve your average order value (AOV) and customer lifetime value (CLV)

  CRO isn’t only about increasing the number of customers you convert. If you adapt your approach, you can also use it to increase the revenue from each customer you bring in. 

  But you can’t do that by only tracking conversion rates, you also need to track exactly what your customers buy.

  If you only blindly optimise for CAC, you even risk lowering your CLV and the overall profitability of your campaigns. (For example, if you focus on Facebook Ads with a $6 CAC, but an average CLV of $50, over Google Ads with a $12 CAC, but a $100 CLV.)

  Best practices to track and improve CLV :

  First, integrate your analytics platform with your e-commerce (B2C) or your CRM (B2B). This will help you get a more holistic view of your customers. You don’t want the data to stop at “converted.” You want to be able to dive deep into the patterns of high-value customers.

  The sales report in Matomo’s ecommerce analytics makes it easy to break down average order value by channels, campaigns, and specific ads.

  

  In the report above, we can see that search engines drive customers who spend significantly more, on average, than social networks — $241 vs. $184. But social networks drive a higher volume of customers and more revenue.

  To figure out which channel to focus on, you need to see how the CAC compares to the AOV (or CLV for B2B customers). Let’s say the CAC of social networks is $50, while the search engine CAC is $65. Search engine customers are more profitable — $176 vs. $134. So you may want to adjust some more budget to that channel.

  To put it simply :

  Profit per customer = AOV (or CLV) – CAC

  Example :

  • Profit per customer for social networks = $184 – $50 = $134
  • Profit per customer for search engines = $241 – $65 = $176

  You can also try to A/B test changes that may increase the AOV, like creating a product bundle and recommending it on specific sales pages.

  An improvement in CLV will make your campaigns more profitable, and help stretch your advertising budget even further.

  6. Improve your content and SEO rankings

  A valuable side-effect of focusing on CRO metrics and analyses is that it can boost your SEO rankings. 

  How ? 

  CRO helps you improve the user experience of your website. That’s a key signal Google (and other search engines) care about when ranking webpages. 

  

  For example, Google’s algorithm considers “dwell time,” AKA how long a user stays on your page. If many users quickly return to the results page and click another result, that’s a bad sign. But if most people stay on your site for a while (or don’t return to Google at all), Google thinks your page gives the user their answer.

  As a result, Google will improve your website’s ranking in the search results.

  Best practices to make the most of CRO when it comes to SEO :

  Use A/B Testing, Heatmaps, and Session Recordings to run experiments and understand user behaviour. Test changes to headlines, page layout, imagery and more to see how it impacts the user experience. You can even experiment with completely changing the content on a page, like substituting an introduction.

  Bring your CRO-testing mindset to important pages that aren’t ranking well to improve metrics like dwell time.

  Start optimising your conversion rate today

  As you’ve seen, enjoying the benefits of CRO heavily relies on the data from a reliable web analytics solution. 

  But in an increasingly privacy-conscious world (just look at the timeline of GDPR updates and fines), you must tread carefully. One of the dilemmas that marketing managers face today is whether to prioritise data quality or privacy (and regulations).

  With Matomo, you don’t have to choose. Matomo values both data quality and privacy, adhering to stringent privacy laws like GDPR and CCPA.

  Unlike other web analytics, Matomo doesn’t sample data or use AI and machine learning to fill data gaps. Plus, you can track without annoying visitors with a cookie consent banner – so you capture 100% of traffic while respecting user privacy (excluding in Germany and UK).

  And as you’ve already seen above, you’ll still get plenty of reports and insights to drive your CRO efforts. With User Flows, Funnels, Session Recordings, Form Analytics, and Heatmaps, you can immediately find insights to improve your bottom line.

  And our built-in A/B testing feature will help you test your hypotheses and drive reliable progress. If you’re ready to reliably optimise conversion rates (with accuracy and without privacy concerns), try Matomo for free for 21 days. No credit card required.

  Try Matomo for Free

  21 day free trial. No credit card required.

  
  

  Your email address
  

  Your website address
  

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  Choose your analytics subdomain
  

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  I accept the terms and conditions and data processing agreement (DPA)

  
  Your information will be used to create an account on our cloud service. For more information please consult our privacy policy.
  
  
  

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