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• 4 ways to create more effective funnels

  24 février 2020, par Jake Thornton — Uncategorized

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

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

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

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

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

  But what about the non-conventional routes to conversion ?

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

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

  Transitions

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

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

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

  

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

  

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

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

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

  >> Learn more about Transitions

  Page Overlay

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

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

  

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

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

  

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

  >> Learn more about Page Overlay

  Users Flow

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

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

  

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

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

  >> Learn more about Users Flow

  Row Evolution

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

  

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

  

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

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

  >>Learn more about Row Evolution

  Continually create more and more funnels !

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

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

• Generating video from images and audio by FFmpeg

  24 mars 2020, par Cody

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

  There are 2 inputs only :

  • JPG images with filename NOT in numbering sequence (e.g. foo.jpg, bar.jpg)
  • .wav audio

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

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

          let VIDEO_DURATION = 8;
  
          let ffmpeg = await FfmpegUtil.createCommand();
  
          let imageFiles: string[] = ["foo.jpg", "bar.jpg", ...]; //assume there are 67 image files
  
          let demuxerFile = await FfmpegUtil.createConcatDemuxerFile(imageFiles);
  
          let audioFile: string = "path/to/audio.wav";
  
  
  
          ffmpeg.input(demuxerFile)
  
              .inputOption(
  
                  "-f", "concat",
  
                  "-safe", "0",
  
              )
  
              .input(audioFile)
  
              .outputOption(
  
                  "-r", `${imageFiles.length}/${VIDEO_DURATION}`,
  
              )
  
              .duration(VIDEO_DURATION)
  
              .save("path/to/output.mp4")
  
          ;

  it will spawn a ffmpeg command :

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

  However the output file cannot be played.

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

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

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

  ffmpeg -f concat -safe 0 -i path/to/demuxerFile.txt -i path/to/audio.wav -y -r 67/8 -t 8 path/to/output_r.mp4
  
  
  
  ffmpeg version git-2020-01-26-5e62100 Copyright (c) 2000-2020 the FFmpeg developers
  
    built with gcc 9.2.1 (GCC) 20200122
  
    configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt --enable-amf
  
    libavutil      56. 38.100 / 56. 38.100
  
    libavcodec     58. 67.100 / 58. 67.100
  
    libavformat    58. 36.100 / 58. 36.100
  
    libavdevice    58.  9.103 / 58.  9.103
  
    libavfilter     7. 71.100 /  7. 71.100
  
    libswscale      5.  6.100 /  5.  6.100
  
    libswresample   3.  6.100 /  3.  6.100
  
    libpostproc    55.  6.100 / 55.  6.100
  
  Input #0, concat, from 'path/to/demuxerFile.txt':
  
    Duration: N/A, start: 0.000000, bitrate: N/A
  
      Stream #0:0: Video: mjpeg (Baseline), yuvj444p(pc, bt470bg/unknown/unknown), 4677x4677 [SAR 256:256 DAR 1:1], 25 tbr, 25 tbn, 25 tbc
  
  Guessed Channel Layout for Input Stream #1.0 : stereo
  
  Input #1, wav, from 'path/to/audio.wav':
  
    Metadata:
  
      artist          : TextAloud: IVONA Kimberly22
  
      date            : 2018
  
      genre           : Speech
  
      title           : 38750336.mp3
  
      album           : Created: 7/26/2018 4:56:13 PM
  
      encoder         : Lavf58.16.100
  
      encoded_by      : Lame MP3
  
    Duration: 00:00:15.57, bitrate: 705 kb/s
  
      Stream #1:0: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 22050 Hz, stereo, s16, 705 kb/s
  
  Stream mapping:
  
    Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))
  
    Stream #1:0 -> #0:1 (pcm_s16le (native) -> aac (native))
  
  Press [q] to stop, [?] for help
  
  [libx264 @ 000001e395041400] using SAR=1/1
  
  [libx264 @ 000001e395041400] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
  
  [libx264 @ 000001e395041400] profile High 4:4:4 Predictive, level 6.0, 4:4:4, 8-bit
  
  [libx264 @ 000001e395041400] 264 - core 159 - H.264/MPEG-4 AVC codec - Copyleft 2003-2019 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=4 threads=6 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=8 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
  
  Output #0, mp4, to 'path/to/output_r.mp4':
  
    Metadata:
  
      encoder         : Lavf58.36.100
  
      Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuvj444p(pc, progressive), 4677x4677 [SAR 256:256 DAR 1:1], q=-1--1, 8.38 fps, 17152 tbn, 8.38 tbc
  
      Metadata:
  
        encoder         : Lavc58.67.100 libx264
  
      Side data:
  
        cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
  
      Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 22050 Hz, stereo, fltp, 128 kb/s
  
      Metadata:
  
        encoder         : Lavc58.67.100 aac
  
  frame=    3 fps=0.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
  
  frame=    5 fps=4.2 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=4 speed=   0x    
  
  frame=    6 fps=3.4 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=7 speed=   0x    
  
  frame=    8 fps=3.4 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=10 speed=   0x    
  
  frame=   10 fps=3.5 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=14 speed=   0x    
  
  frame=   11 fps=3.2 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=16 speed=   0x    
  
  frame=   13 fps=3.2 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=20 speed=   0x    
  
  frame=   14 fps=3.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=22 speed=   0x    
  
  frame=   16 fps=3.1 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=26 speed=   0x    
  
  frame=   17 fps=2.9 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=28 speed=   0x    
  
  frame=   18 fps=2.8 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=31 speed=   0x    
  
  frame=   20 fps=2.9 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=34 speed=   0x    
  
  frame=   21 fps=2.8 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=36 speed=   0x    
  
  frame=   23 fps=2.9 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=40 speed=   0x    
  
  frame=   24 fps=2.8 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A dup=0 drop=42 speed=   0x    
  
  frame=   24 fps=0.7 q=-1.0 Lsize=     752kB time=00:00:08.03 bitrate= 766.4kbits/s dup=0 drop=43 speed=0.22x    
  
  video:624kB audio:125kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.359236%
  
  [libx264 @ 000001e395041400] frame I:1     Avg QP:12.79  size:257554
  
  [libx264 @ 000001e395041400] frame P:15    Avg QP:13.10  size: 20487
  
  [libx264 @ 000001e395041400] frame B:8     Avg QP:13.10  size:  9231
  
  [libx264 @ 000001e395041400] consecutive B-frames: 45.8% 25.0% 12.5% 16.7%
  
  [libx264 @ 000001e395041400] mb I  I16..4: 18.4% 79.2%  2.4%
  
  [libx264 @ 000001e395041400] mb P  I16..4:  1.0%  3.3%  0.4%  P16..4:  1.0%  0.2%  0.2%  0.0%  0.0%    skip:93.9%
  
  [libx264 @ 000001e395041400] mb B  I16..4:  0.1%  0.2%  0.1%  B16..8:  1.8%  0.1%  0.0%  direct: 2.9%  skip:94.7%  L0:58.1% L1:40.2% BI: 1.7%
  
  [libx264 @ 000001e395041400] 8x8 transform intra:75.0% inter:82.7%
  
  [libx264 @ 000001e395041400] coded y,u,v intra: 6.1% 3.5% 4.4% inter: 0.2% 1.2% 0.5%
  
  [libx264 @ 000001e395041400] i16 v,h,dc,p: 80% 16%  3%  2%
  
  [libx264 @ 000001e395041400] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 46%  8% 44%  0%  0%  0%  0%  0%  0%
  
  [libx264 @ 000001e395041400] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 29% 27% 25%  3%  3%  3%  4%  3%  3%
  
  [libx264 @ 000001e395041400] Weighted P-Frames: Y:0.0% UV:0.0%
  
  [libx264 @ 000001e395041400] ref P L0: 75.6%  3.3% 14.8%  6.3%
  
  [libx264 @ 000001e395041400] ref B L0: 88.6% 10.7%  0.7%
  
  [libx264 @ 000001e395041400] ref B L1: 98.7%  1.3%
  
  [libx264 @ 000001e395041400] kb/s:1783.06
  
  [aac @ 000001e3951e7f80] Qavg: 55135.730

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

  ffmpeg -f concat -safe 0 -i path/to/demuxerFile.txt -i path/to/audio.wav -y -framerate 67/8 -t 8 path/to/output_framerate.mp4
  
  
  
  ffmpeg version git-2020-01-26-5e62100 Copyright (c) 2000-2020 the FFmpeg developers
  
    built with gcc 9.2.1 (GCC) 20200122
  
    configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt --enable-amf
  
    libavutil      56. 38.100 / 56. 38.100
  
    libavcodec     58. 67.100 / 58. 67.100
  
    libavformat    58. 36.100 / 58. 36.100
  
    libavdevice    58.  9.103 / 58.  9.103
  
    libavfilter     7. 71.100 /  7. 71.100
  
    libswscale      5.  6.100 /  5.  6.100
  
    libswresample   3.  6.100 /  3.  6.100
  
    libpostproc    55.  6.100 / 55.  6.100
  
  Input #0, concat, from 'path/to/demuxerFile.txt':
  
    Duration: N/A, start: 0.000000, bitrate: N/A
  
      Stream #0:0: Video: mjpeg (Baseline), yuvj444p(pc, bt470bg/unknown/unknown), 4677x4677 [SAR 256:256 DAR 1:1], 25 tbr, 25 tbn, 25 tbc
  
  Guessed Channel Layout for Input Stream #1.0 : stereo
  
  Input #1, wav, from 'path/to/audio.wav':
  
    Metadata:
  
      artist          : TextAloud: IVONA Kimberly22
  
      date            : 2018
  
      genre           : Speech
  
      title           : 38750336.mp3
  
      album           : Created: 7/26/2018 4:56:13 PM
  
      encoder         : Lavf58.16.100
  
      encoded_by      : Lame MP3
  
    Duration: 00:00:15.57, bitrate: 705 kb/s
  
      Stream #1:0: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 22050 Hz, stereo, s16, 705 kb/s
  
  Stream mapping:
  
    Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))
  
    Stream #1:0 -> #0:1 (pcm_s16le (native) -> aac (native))
  
  Press [q] to stop, [?] for help
  
  [libx264 @ 000002460bda4740] using SAR=1/1
  
  [libx264 @ 000002460bda4740] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
  
  [libx264 @ 000002460bda4740] profile High 4:4:4 Predictive, level 6.0, 4:4:4, 8-bit
  
  [libx264 @ 000002460bda4740] 264 - core 159 - H.264/MPEG-4 AVC codec - Copyleft 2003-2019 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=4 threads=6 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
  
  Output #0, mp4, to 'path/to/output_framerate.mp4':
  
    Metadata:
  
      encoder         : Lavf58.36.100
  
      Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuvj444p(pc, progressive), 4677x4677 [SAR 256:256 DAR 1:1], q=-1--1, 25 fps, 12800 tbn, 25 tbc
  
      Metadata:
  
        encoder         : Lavc58.67.100 libx264
  
      Side data:
  
        cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
  
      Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 22050 Hz, stereo, fltp, 128 kb/s
  
      Metadata:
  
        encoder         : Lavc58.67.100 aac
  
  frame=    3 fps=0.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
  
  frame=    6 fps=5.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
  
  frame=    9 fps=5.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
  
  frame=   12 fps=5.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
  
  frame=   14 fps=4.6 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
  
  frame=   16 fps=4.4 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
  
  frame=   18 fps=3.9 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
  
  frame=   20 fps=3.9 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
  
  frame=   22 fps=3.8 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
  
  frame=   23 fps=3.6 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
  
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• Matomo vs WP-Statistics – which web analytics plugin suits you best ?

  2 avril 2020, par Joselyn Khor — Analytics Tips, Plugins

  Due to the endless choices, you may be wondering which web analytics plugin (GA, Slimstat or WP-Statistics) to choose from on the WordPress directory. If the choice is between WP-Statistics and Matomo for WordPress, we’ve got you covered. Have a look at which could be the best option for you. Our team tested the WP-Statistics plugin to see how it compares. It’s hard not to be biased, but we’ll try our best to give you a fair assessment.

  The main considerations in this article : 

  • General overview
  • General comparison
  • Similarities
  • Differences
  • Three notable feature category comparisons
  • Which tool suits you better ?

  General overview

  What’s Matomo Analytics for WordPress ?

  Matomo for WordPress is a free, privacy-friendly web analytics plugin that lets you understand website visitors and how they behave on your site. With comprehensive insights, you get the opportunity to increase conversions, and the know-how to improve your website. 

  It lets you undertake essential analysis by tracking information, such as, where visitors are coming from, what your most popular pages are, and how visitors are using your site.

  In addition to the fundamentals, the tool also allows for advanced tracking and analysis with features that give you a full understanding of behavioural patterns and website performance. This enables you to optimise your WordPress website to increase sales or engagement.

  It offers a complete analytics package with the bonuses of 100% data ownership, no data sampling, and GDPR compliance. 

  What’s WP-Statistics ?

  WP-Statistics is currently the most used self-hosted WordPress statistics plugin. It provides reports that let you analyse who your visitors are, where they’re coming from, and to an extent what they’re doing on your website.

  Like Matomo for WordPress, it gives you an understanding of your audience which helps you make decisions on how to improve your website for more conversions. 

  As it’s self-hosted on your own WordPress servers it can be seen as a privacy-friendly choice with a few tweaks (more on this below).

  Like Matomo for WordPress, it gives you an understanding of your audience which helps you make decisions on how to improve your website for more conversions. 

  General comparison

  Let’s compare the installation process and the dashboards that get installed in your WordPress.

  Installation

  Both Matomo and WP-Statistics are installed directly in your WordPress so you’ll be able to see your analytics reports right in your WordPress dashboard. You can install them both straight from the WordPress Directory.

  The installation process for both plugins is beginner-friendly. You simply need to find them on the WordPress directory, click on ‘Install Now’, and tracking should start immediately in your WordPress dashboard.

  Dashboard

  For the main Matomo platform you’ll see :

  • Visitors – Overview, Visits Log, Real-time, Real-time Map, Locations, Devices, Software, Times, User IDs, Custom Variables, User Type
  • Behaviour – Pages, Entry Pages, Exit Pages, Page titles, Site Search, Outlinks, Downloads, Events, Contents, Engagement, Transitions, Users Flow, Top Paths, Page Author, Page Location, Page Type, Crawling errors
  • Acquisition – Overview, All Channels, Search Engine & Keywords, Websites, Social Networks, Campaigns, Campaign URL Builder, Crawling overview
  • Ecommerce – Overview, Ecommerce Log, Products, Sales, Multi Attribution
  • Goals – Overview, Multi Attribution, Choose Goals, Manage Goals
  • These may be worded differently from WP-Statistics, but they show you all the information you need to know about your traffic, pages, etc.

  Previous

  Next

  In the dashboard for WP-Statistics you’ll see :

  • Overview, Hits, Online, Referrers, Search Words, Search Engines, Pages, Visitors, Categories, Tags, Authors, Browsers, Top Visitors Today
  • These are the only things you can see in the dashboard. So you can’t click into them for a drop down section to get deeper insights. 
  •  

  

  Key similarities between Matomo and WP-Statistics

  • Free to use
  • Self-hosted – All data collected is stored only within your own servers, no third parties have rights over your data, and logs or report data will never be sent to other servers. 
  • Beginner-friendly – Both offer simple reporting for people who are very much beginners and only want basic insights. With Matomo the advantage is also that you can get more details should you ever want/need to.

  Key differences between Matomo and WP-Statistics

  The main differences fall in these categories : features, privacy, documentation/support, security, active development, extensibility, price and ads.

  Features : 

  WP-Statistics – On a fundamental level, WP-Statistics is focused on simplicity and the basics. There are fewer reports than Matomo and they function on a level that suits beginners who are interested in seeing only the numbers of visitors on the website, and how often each page is viewed. 

  Matomo – provides an interface with similar simplicity. However, there is also a more feature-rich and more comprehensive user interface available. In addition to the basics, Matomo offers features like Goals, Ecommerce, in the free version which show a deeper level of insight. WP Statistics does not let you track essentials like Goals or Ecommerce.

  Privacy : 

  WP-Statistics – One of the concerns we wish to raise here is for data privacy. There doesn’t appear to be an opt-out option in WP-Statistics, which could be problematic for some privacy laws such as GDPR. There’s also no documentation on this.

  We were a bit concerned to see that WP-Statistics didn’t have IP anonymization enabled by default. Considering the IP address is personal data, it means you are not compliant with privacy laws such as the GDPR when you use this plugin unless you tweak the settings. They mentioned : “In previous versions, there was an option called Hash IP. When Hash IP was activated, the IP addresses wouldn’t be stored in the database, but instead, a unique hash would be used. In this new version, an option has been added to store IPs anonymously. This option is active by default.” However, when we installed this and tested it on multiple WordPress installations, this option was not active by default. 

  Matomo – has more measures in place to ensure privacy is respected, such as, opt-outs. Due to the stringent privacy features in place, Matomo is well equipped to ensure GDPR compliance. Matomo has an abundance of user guides and FAQs you can follow to configure your platform to fully comply with GDPR. There’s even an 12-step compliant checklist. The most compelling proof is that the leading voice on GDPR – The European Commission uses Matomo Analytics. 

  Documentation/Support : 

  WP-Statistics – has little documentation, FAQs, and no support.

  Matomo – has thousands of FAQs and user guides, as well as a dedicated support team and forum you can turn to for help. Should you ever run into any issue, this might be something important to consider.

  The contrast in support between WP-Statistics and Matomo for WordPress :

  

  

  Security :

  Matomo takes protecting your data very seriously. We have a security bounty programme giving security researchers money should they find any security issues. Matomo also performs a security review for every new release. We couldn’t find anything similar in WP-Statistics.

  Active development : 

  WP Statistics – doesn’t seem to have active development. The last change in this plugin was over three months ago (source : https://github.com/wp-statistics/wp-statistics/commits/master) and in general, only 10 people really contributed to it (source : https://github.com/wp-statistics/wp-statistics/graphs/contributors, the graphs shows little contributor activity.) 

  Matomo – has been built by hundreds of contributors (source : https://github.com/matomo-org/matomo/graphs/contributors), and is actively maintained by multiple developers including developers who work on this full time. This means you can rest assured that Matomo will be there for you in the future, it will receive regular improvements.

  Extensibility :

  WP-Statistics – have a section on their website offering customisation but for a price. 

  Matomo – should you want any changes and have some developer knowledge or some developers at hand, you can completely customise and extend Matomo for free. There are also one hundred additional plugins available for Matomo for free. 
  

  Price :

  The main WordPress plugins ‘WP Statistics‘ and ‘Matomo Analytics – Ethical Stats. Powerful Insights.‘ are both free.

  WP Statistics and Matomo also sell paid add-ons. However, WP-Statistics’ paid add-ons are ones already integrated in Matomo for free. These basic features are provided as the development team believe they’re necessities to a fully functional analytics platform. 

  Ads :

  WP Statistics shows you ads, whereas Matomo doesn’t.

  Three most notable feature category comparisons

  Both Matomo and WP-Statistics have basic tracking categories in the WP dashboard. In addition, Matomo has feature categories that can be expanded e.g. when clicked, Visitors drops down to reveal 11 more features. 

  We’ll compare three feature categories : Visitors, Behaviour, and Acquisitions.

  1. Visitors (WP-Statistics) vs Visitors (Matomo)

  Let’s dive into how each analytics platform provides insight into the visitors feature category.

  WP-Statistics

  

  WP-Statistics – We can see WP-Statistics gives you bare bones tracking capabilities so you don’t get a really detailed picture of your visitors. It allows you to monitor users currently online in real-time, which is useful to look at the most recent activity on your site. WP-Statistics doesn’t offer a dropdown section to see more about your visitor’s behavioural patterns. There is no Visitors category in WP-Statistics, just individual features in the dashboard but we can group three options together to compare with Matomo’s Visitors category, these are : Online, Browsers, Top Visitors Today.

  Matomo

  

  

  Comparison

  Matomo – In comparison, Matomo has a Visitors category with a dropdown list that lets you drill deeper into what your visitors are doing. It lets you evaluate every action an individual user has taken on your website which is compiled into a full historical profile. Matomo gives an in-depth view. E.g. you can look at individual visit logs, locations, and devices.

  This lets you see what the life-time journey of an active user looks like, or perhaps you want to see what a profile looks like for a user who comes back time-and-time again without ever purchasing ; there is no better way to gain insights to these journeys and this is why the Visitor Profiles feature is so widely used by Matomo users.

  2. Pages tracking (WP-Statistics) vs Behaviour (Matomo)

  For this comparison, WP-Statistics has a few features that can be combined to compare with Matomo’s Behaviour category. 

  WP-Statistics

  

  The Pages section in WP-Statistics gives a basic look at your most popular pages so you know which pages get more visits and those which aren’t performing. This helps with content improvement. You can also see other features in this Behaviour category like Browsers and Hits – these also provide basic stats to help you get a general sense of visitor behaviour. 

  Matomo

  

  Comparison :

  Matomo on the other hand has stats that go into greater detail. The features under the Behaviour section of the tool let you draw actionable conclusions e.g. seeing that a page has a higher exit rate than it’s supposed to, so you optimise that page to prevent people leaving and help them progress through your website. 

  Not only can you see popular pages, you can look at : which page people viewed first when they visited your website ; which page they left from ; what people search for on your site ; and see how people are flowing through pages. Most importantly you can see how each of these reports perform over time so you can improve engagement and conversions on your website.

  3. Referrers (WP-Statistics) vs Acquisition (Matomo)

  For this comparison, WP-Statistics has a few features that can be combined to compare with Matomo’s Acquisition category. 

  WP-Statistics

  

  WP-Statistics gives you Referrers, Search Words, and Search Engines. Which give a basic understanding of the channels that work best for you. This is helpful to know where to focus more of your attention.

  Matomo

  

  Comparison :

  With Matomo you see multiple layers of stats to understand how your acquisition channels are performing. So you can see tables of data that drill into visits, downloads, bounce rate, and newsletter sign ups. For example seeing that Facebook is the channel bringing in the most visitors to your site. This gives you a better sense of which acquisition strategy is working for your site. 

  Who suits WP-Statistics

  This is a great starter pack for people who want a lightweight, functional statistics plugin that gives you a basic overview of website hits and visitors. It’s very easy to use, so it’s great for beginners and those who want simple tracking. If you have basic goals for your website or blog’s success then WP-Statistics is enough for you to get numbers on visitors, page views, and hits, but won’t be suitable for a larger-scale business or organisation. 

  It’s suited for hobby websites, blogs, and freelancers who want simple, effective stats tracking, who don’t need detailed insights on site performance or tracking. 

  Who suits Matomo

  Matomo can be used for the same basic reporting, but has the capability for you to go deeper into more advanced reporting in a different UI if you need it. It’s an option that can work for a wider range of users – from beginners to analysts. There are features to suit all skill levels. This complete suite of features makes it a more comprehensive tool, as you can get more out of it. Ideal not only for bloggers and beginners, but also powerful enough to suit businesses, privacy-respecting organisations, and those who would benefit from conversion optimisation features. 

  You can draw insights from all stages of the customer journey – you’ll track behavioural patterns as soon as visitors enter your site, to their progression through your site, and ultimately to conversion and exit. It’s also an ethical choice because you get 100% data ownership. 

  If you’d like to look deeper into your data then Matomo would also be suitable for you. Matomo’s UI is lean, very easy to learn and shouldn’t overwhelm users in the way another tool like Google Analytics might do. If you think Matomo suits you best, you can install it for free now.

  Advantages of using Matomo

  Truly privacy-respecting

  There’s no messing about when it comes to privacy. As a lot of users are based in Europe, Matomo adheres to the strictest privacy laws and can be counted on as a privacy-respecting tool that’s used by many government entities. Needing to comply with major privacy laws (GDPR) in Europe means Matomo can proudly ensure users are making the ethical choice.

  GDPR compliance

  You mitigate the risks of getting caught out and fined for breaching GDPR regulations. There’s a complete list of documentation, guides, information, and tools to make sure you’re on the right side of GDPR. 

  All-rounder

  Matomo gives you a clearer picture of your visitors which helps you make better decisions for your website overall. The support and documentation is thorough which means you get more out of your Matomo experience.

  Conclusion

  Both tools will do you justice in terms of fundamental reporting, but Matomo Analytics will outshine if you want a greater understanding of your website and want to carry out deeper levels of analysis.

  You can draw useful insights with WP-Statistics so it has to be said that they are doing something right with an entry-level offering. The simplicity is great, but you won’t really get more than a basic idea of how your site is performing.

  On the flipside, this simplicity could also be a double-edged sword for WP-Statistics in that it’s too simplistic to draw actionable insights. If you’re wanting to know anything that could increase sales, conversions or subscribers – then you wouldn’t really get the reports to do so. 

  WP-Statistics also falls short when it comes to updates and support. So a major difference can be seen in support, active development, ads, security, documentation, which many people may think about until they’re in trouble and find they need these resources. Matomo offers support, continuous product development, and extensive documentation. There are also no ads, making it more enjoyable to use.

  One thing we’d like to raise awareness about is WP-Statistics’ claims of being privacy-respecting without much documentation to back up those claims. There is a lack of privacy features which could put some website owners at risk of non-compliance. Just be sure to check that you’ve carried out the steps to comply with the privacy laws in your country.

  Matomo makes it clear that privacy is essential as is compliance to privacy laws like GDPR. The strength also lies in the peace of mind you get from a tool that’s used by global privacy leaders such as the European Commission.