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• ffmpeg-python Unable to open .srt, .vtt files. Error initializing filter 'subtitles' with args ... Error initializing complex filters

  3 novembre 2022, par Batuhan Yılmaz

  I'm trying to build a web app where users can upload a video file and a transcript as .srt or .vtt file to get a video with subtitles. But keep getting an error with the subtitles.
  
Here's my code :

  


  import streamlit as st
from streamlit_lottie import st_lottie
from utils import write_vtt, write_srt
import ffmpeg
import requests
from typing import Iterator
from io import StringIO
import numpy as np
import pathlib
import os
import components.authenticate as authenticate


st.set_page_config(page_title="Auto Subtitled Video Generator", page_icon=":movie_camera:", layout="wide")

# Define a function that we can use to load lottie files from a link.
@st.cache(allow_output_mutation=True)
def load_lottieurl(url: str):
    r = requests.get(url)
    if r.status_code != 200:
        return None
    return r.json()


APP_DIR = pathlib.Path(__file__).parent.absolute()

LOCAL_DIR = APP_DIR / "local_transcript"
LOCAL_DIR.mkdir(exist_ok=True)
save_dir = LOCAL_DIR / "output"
save_dir.mkdir(exist_ok=True)


col1, col2 = st.columns([1, 3])
with col1:
    lottie = load_lottieurl("https://assets1.lottiefiles.com/packages/lf20_HjK9Ol.json")
    st_lottie(lottie)

with col2:
    st.write("""
    ## Auto Subtitled Video Generator 
    ##### Upload a video file and a transcript as .srt file and get a video with subtitles.""")


def getSubs(segments: Iterator[dict], format: str, maxLineWidth: int) -> str:
    segmentStream = StringIO()

    if format == 'vtt':
        write_vtt(segments, file=segmentStream, maxLineWidth=maxLineWidth)
    elif format == 'srt':
        write_srt(segments, file=segmentStream, maxLineWidth=maxLineWidth)
    else:
        raise Exception("Unknown format " + format)

    segmentStream.seek(0)
    return segmentStream.read()


def generate_subtitled_video(uploaded_file):
    with open(f"{save_dir}/input.mp4", "wb") as f:
            f.write(uploaded_file.read())
    audio = ffmpeg.input(f"{save_dir}/input.mp4")
    audio = ffmpeg.output(audio, f"{save_dir}/output.wav", acodec="pcm_s16le", ac=1, ar="16k")
    ffmpeg.run(audio, overwrite_output=True)


def main():
    video_file = st.file_uploader("File", type=["mp4", "avi", "mov", "mkv"])
    # get the name of the input_file
    if video_file is not None:
        filename = video_file.name[:-4]
    else:
        filename = None
    transcript_file = st.file_uploader("Transcript", type=["srt", "vtt"])
    if transcript_file is not None:
        transcript_name = transcript_file.name
    else:
        transcript_name = None
    if video_file is not None and transcript_file is not None:
        if transcript_name[-3:] == "vtt":
            with open(f"{save_dir}/transcript.vtt", "wb") as f:
                f.writelines(transcript_file)
                f.close()
            with open(os.path.join(os.getcwd(), f"{save_dir}/transcript.vtt"), "rb") as f:
                vtt_file = f.read()
            if st.button("Generate Video with Subtitles"):
                generate_subtitled_video(video_file)
                video_file = ffmpeg.input(f"{save_dir}/input.mp4")
                audio_file = ffmpeg.input(f"{save_dir}/output.wav")
                ffmpeg.concat(video_file.filter("subtitles", vtt_file), audio_file, v=1, a=1).output("final.mp4").global_args('-report').run(quiet=True, overwrite_output=True)
                video_with_subs = open("final.mp4", "rb")
                col3, col4 = st.columns([3, 1])
                with col3:
                    st.video(video_with_subs)
                with col4:
                    st.download_button(label="Download Video with Subtitles",
                                        data=video_with_subs,
                                        file_name=f"{filename}_with_subs.mp4")
            else:
                st.error("Please upload a video file and a transcript file.")
        elif transcript_name[-3:] == "srt":
            with open(f"{save_dir}/transcript.srt", "wb") as f:
                f.writelines(transcript_file)
                f.close()
            with open(os.path.join(os.getcwd(), f"{save_dir}/transcript.srt"), "rb") as f:
                srt_file = f.read()
                f.close()
            if st.button("Generate Video with Subtitles"):
                generate_subtitled_video(video_file)
                video_file = ffmpeg.input(f"{save_dir}/input.mp4")
                audio_file = ffmpeg.input(f"{save_dir}/output.wav")
                ffmpeg.concat(video_file.filter("subtitles", f'{save_dir}/transcript.srt'), audio_file, v=1, a=1).output("final.mp4").global_args('-report').run(quiet=True, overwrite_output=True)
                video_with_subs = open("final.mp4", "rb")

                col3, col4 = st.columns([3, 1])
                with col3:
                    st.video(video_with_subs)
                with col4:
                    st.download_button(label="Download Video with Subtitles",
                                        data=video_with_subs,
                                        file_name=f"{filename}_with_subs.mp4")
        else:
            st.error("Please upload a .srt or .vtt file")
    else:
        st.info("Please upload a video file and a transcript file")


if __name__ == "__main__":
    authenticate.set_st_state_vars()
    if st.session_state["authenticated"]:
        main()
        authenticate.button_logout()
    else:
        st.info("Please log in or sign up to use the app.")
        authenticate.button_login()
        



  


  I couldn't figure out what I'm doing wrong. Please help

  


  And the log file of ffmpeg error :

  


  ffmpeg started on 2022-11-03 at 21:29:27
Report written to "ffmpeg-20221103-212927.log"
Log level: 48
Command line:
ffmpeg -i "C:\\Users\\batuh\\Auto-Subtitled-Video-Generator - Copy2\\pages\\local_transcript\\output/input.mp4" -i "C:\\Users\\batuh\\Auto-Subtitled-Video-Generator - Copy2\\pages\\local_transcript\\output/output.wav" -filter_complex "[0]subtitles=C\\\\\\\\\\\\:\\\\\\\\\\\\\\\\Users\\\\\\\\\\\\\\\\batuh\\\\\\\\\\\\\\\\Auto-Subtitled-Video-Generator - Copy2\\\\\\\\\\\\\\\\pages\\\\\\\\\\\\\\\\local_transcript\\\\\\\\\\\\\\\\output/transcript.srt[s0];[s0][1]concat=a=1:n=1:v=1[s1]" -map "[s1]" final.mp4 -report -y
ffmpeg version 2022-10-24-git-d79c240196-full_build-www.gyan.dev Copyright (c) 2000-2022 the FFmpeg developers
  built with gcc 12.1.0 (Rev2, Built by MSYS2 project)
  configuration: --enable-gpl --enable-version3 --enable-static --disable-w32threads --disable-autodetect --enable-fontconfig --enable-iconv --enable-gnutls --enable-libxml2 --enable-gmp --enable-bzlib --enable-lzma --enable-libsnappy --enable-zlib --enable-librist --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-libbluray --enable-libcaca --enable-sdl2 --enable-libaribb24 --enable-libdav1d --enable-libdavs2 --enable-libuavs3d --enable-libzvbi --enable-librav1e --enable-libsvtav1 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxavs2 --enable-libxvid --enable-libaom --enable-libjxl --enable-libopenjpeg --enable-libvpx --enable-mediafoundation --enable-libass --enable-frei0r --enable-libfreetype --enable-libfribidi --enable-liblensfun --enable-libvidstab --enable-libvmaf --enable-libzimg --enable-amf --enable-cuda-llvm --enable-cuvid --enable-ffnvcodec --enable-nvdec --enable-nvenc --enable-d3d11va --enable-dxva2 --enable-libvpl --enable-libshaderc --enable-vulkan --ena  libavutil      57. 39.101 / 57. 39.101
  libavcodec     59. 51.100 / 59. 51.100
  libavformat    59. 34.101 / 59. 34.101
  libavdevice    59.  8.101 / 59.  8.101
  libavfilter     8. 49.101 /  8. 49.101
  libswscale      6.  8.112 /  6.  8.112
  libswresample   4.  9.100 /  4.  9.100
  libpostproc    56.  7.100 / 56.  7.100
Splitting the commandline.
Reading option '-i' ... matched as input url with argument 'C:\Users\batuh\Auto-Subtitled-Video-Generator - Copy2\pages\local_transcript\output/input.mp4'.
Reading option '-i' ... matched as input url with argument 'C:\Users\batuh\Auto-Subtitled-Video-Generator - Copy2\pages\local_transcript\output/output.wav'.
Reading option '-filter_complex' ... matched as option 'filter_complex' (create a complex filtergraph) with argument '[0]subtitles=C\\\\\\:\\\\\\\\Users\\\\\\\\batuh\\\\\\\\Auto-Subtitled-Video-Generator - Copy2\\\\\\\\pages\\\\\\\\local_transcript\\\\\\\\output/transcript.srt[s0];[s0][1]concat=a=1:n=1:v=1[s1]'.
Reading option '-map' ... matched as option 'map' (set input stream mapping) with argument '[s1]'.
Reading option 'final.mp4' ... matched as output url.
Reading option '-report' ... matched as option 'report' (generate a report) with argument '1'.
Reading option '-y' ... matched as option 'y' (overwrite output files) with argument '1'.
Finished splitting the commandline.
Parsing a group of options: global .
Applying option filter_complex (create a complex filtergraph) with argument [0]subtitles=C\\\\\\:\\\\\\\\Users\\\\\\\\batuh\\\\\\\\Auto-Subtitled-Video-Generator - Copy2\\\\\\\\pages\\\\\\\\local_transcript\\\\\\\\output/transcript.srt[s0];[s0][1]concat=a=1:n=1:v=1[s1].
Applying option report (generate a report) with argument 1.
Applying option y (overwrite output files) with argument 1.
Successfully parsed a group of options.
Parsing a group of options: input url C:\Users\batuh\Auto-Subtitled-Video-Generator - Copy2\pages\local_transcript\output/input.mp4.
Successfully parsed a group of options.
Opening an input file: C:\Users\batuh\Auto-Subtitled-Video-Generator - Copy2\pages\local_transcript\output/input.mp4.
[NULL @ 000001baaeb55300] Opening 'C:\Users\batuh\Auto-Subtitled-Video-Generator - Copy2\pages\local_transcript\output/input.mp4' for reading
[file @ 000001baaeb55800] Setting default whitelist 'file,crypto,data'
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001baaeb55300] Format mov,mp4,m4a,3gp,3g2,mj2 probed with size=2048 and score=100
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001baaeb55300] ISO: File Type Major Brand: mp42
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001baaeb55300] Unknown dref type 0x206c7275 size 12
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001baaeb55300] Processing st: 0, edit list 0 - media time: 3003, duration: 8201160
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001baaeb55300] Offset DTS by 3003 to make first pts zero.
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001baaeb55300] Setting codecpar->delay to 1 for stream st: 0
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001baaeb55300] Unknown dref type 0x206c7275 size 12
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001baaeb55300] Before avformat_find_stream_info() pos: 34044 bytes read:65536 seeks:0 nb_streams:2
[h264 @ 000001baaeb68bc0] nal_unit_type: 7(SPS), nal_ref_idc: 3
[h264 @ 000001baaeb68bc0] nal_unit_type: 8(PPS), nal_ref_idc: 3
[h264 @ 000001baaeb68bc0] nal_unit_type: 7(SPS), nal_ref_idc: 3
[h264 @ 000001baaeb68bc0] nal_unit_type: 8(PPS), nal_ref_idc: 3
[h264 @ 000001baaeb68bc0] nal_unit_type: 5(IDR), nal_ref_idc: 3
[h264 @ 000001baaeb68bc0] Format yuv420p chosen by get_format().
[h264 @ 000001baaeb68bc0] Reinit context to 1280x720, pix_fmt: yuv420p
[h264 @ 000001baaeb68bc0] no picture 
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001baaeb55300] All info found
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001baaeb55300] After avformat_find_stream_info() pos: 109849 bytes read:131072 seeks:0 frames:15
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'C:\Users\batuh\Auto-Subtitled-Video-Generator - Copy2\pages\local_transcript\output/input.mp4':
  Metadata:
    major_brand     : mp42
    minor_version   : 0
    compatible_brands: isommp42
    creation_time   : 2016-08-24T03:50:36.000000Z
  Duration: 00:01:31.14, start: 0.000000, bitrate: 1149 kb/s
  Stream #0:0[0x1](und), 14, 1/90000: Video: h264 (Main) (avc1 / 0x31637661), yuv420p(progressive), 1280x720 [SAR 1:1 DAR 16:9], 1020 kb/s, 29.97 fps, 29.97 tbr, 90k tbn (default)
    Metadata:
      creation_time   : 2016-08-24T03:50:36.000000Z
      handler_name    : ISO Media file produced by Google Inc.
      vendor_id       : [0][0][0][0]
  Stream #0:1[0x2](und), 1, 1/44100: Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 125 kb/s (default)
    Metadata:
      creation_time   : 2016-08-24T03:50:36.000000Z
      handler_name    : ISO Media file produced by Google Inc.
      vendor_id       : [0][0][0][0]
Successfully opened the file.
Parsing a group of options: input url C:\Users\batuh\Auto-Subtitled-Video-Generator - Copy2\pages\local_transcript\output/output.wav.
Successfully parsed a group of options.
Opening an input file: C:\Users\batuh\Auto-Subtitled-Video-Generator - Copy2\pages\local_transcript\output/output.wav.
[NULL @ 000001baaec0e8c0] Opening 'C:\Users\batuh\Auto-Subtitled-Video-Generator - Copy2\pages\local_transcript\output/output.wav' for reading
[file @ 000001baaf24ee40] Setting default whitelist 'file,crypto,data'
[wav @ 000001baaec0e8c0] Format wav probed with size=2048 and score=99
[wav @ 000001baaec0e8c0] Before avformat_find_stream_info() pos: 78 bytes read:65614 seeks:1 nb_streams:1
[wav @ 000001baaec0e8c0] probing stream 0 pp:32
[wav @ 000001baaec0e8c0] probing stream 0 pp:31
[wav @ 000001baaec0e8c0] probing stream 0 pp:30
[wav @ 000001baaec0e8c0] probing stream 0 pp:29
[wav @ 000001baaec0e8c0] probing stream 0 pp:28
[wav @ 000001baaec0e8c0] probing stream 0 pp:27
[wav @ 000001baaec0e8c0] probing stream 0 pp:26
[wav @ 000001baaec0e8c0] probing stream 0 pp:25
[wav @ 000001baaec0e8c0] probing stream 0 pp:24
[wav @ 000001baaec0e8c0] probing stream 0 pp:23
[wav @ 000001baaec0e8c0] probing stream 0 pp:22
[wav @ 000001baaec0e8c0] probing stream 0 pp:21
[wav @ 000001baaec0e8c0] probing stream 0 pp:20
[wav @ 000001baaec0e8c0] probing stream 0 pp:19
[wav @ 000001baaec0e8c0] probing stream 0 pp:18
[wav @ 000001baaec0e8c0] probing stream 0 pp:17
[wav @ 000001baaec0e8c0] probing stream 0 pp:16
[wav @ 000001baaec0e8c0] probing stream 0 pp:15
[wav @ 000001baaec0e8c0] probing stream 0 pp:14
[wav @ 000001baaec0e8c0] probing stream 0 pp:13
[wav @ 000001baaec0e8c0] probing stream 0 pp:12
[wav @ 000001baaec0e8c0] probing stream 0 pp:11
[wav @ 000001baaec0e8c0] probing stream 0 pp:10
[wav @ 000001baaec0e8c0] probing stream 0 pp:9
[wav @ 000001baaec0e8c0] probing stream 0 pp:8
[wav @ 000001baaec0e8c0] probing stream 0 pp:7
[wav @ 000001baaec0e8c0] probing stream 0 pp:6
[wav @ 000001baaec0e8c0] probing stream 0 pp:5
[wav @ 000001baaec0e8c0] probing stream 0 pp:4
[wav @ 000001baaec0e8c0] probing stream 0 pp:3
[wav @ 000001baaec0e8c0] probing stream 0 pp:2
[wav @ 000001baaec0e8c0] probing stream 0 pp:1
[wav @ 000001baaec0e8c0] probed stream 0
[wav @ 000001baaec0e8c0] parser not found for codec pcm_s16le, packets or times may be invalid.
[wav @ 000001baaec0e8c0] max_analyze_duration 5000000 reached at 5120000 microseconds st:0
[wav @ 000001baaec0e8c0] After avformat_find_stream_info() pos: 176206 bytes read:262222 seeks:1 frames:42
Guessed Channel Layout for Input Stream #1.0 : mono
Input #1, wav, from 'C:\Users\batuh\Auto-Subtitled-Video-Generator - Copy2\pages\local_transcript\output/output.wav':
  Metadata:
    encoder         : Lavf59.34.101
  Duration: 00:01:31.14, bitrate: 256 kb/s
  Stream #1:0, 42, 1/16000: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 16000 Hz, 1 channels, s16, 256 kb/s
Successfully opened the file.
[Parsed_subtitles_0 @ 000001baaeb7d040] Setting 'filename' to value 'C\:\\Users\\batuh\\Auto-Subtitled-Video-Generator - Copy2\\pages\\local_transcript\\output/transcript.srt'
[Parsed_subtitles_0 @ 000001baaeb7d040] libass API version: 0x1600010
[Parsed_subtitles_0 @ 000001baaeb7d040] libass source: commit: 0.16.0-48-g75a3dbac9bd41842a4d00b0d42c9513e2c8aec67
[Parsed_subtitles_0 @ 000001baaeb7d040] Raster: FreeType 2.12.1
[Parsed_subtitles_0 @ 000001baaeb7d040] Shaper: FriBidi 1.0.12 (SIMPLE) HarfBuzz-ng 5.3.1 (COMPLEX)
[Parsed_subtitles_0 @ 000001baaeb7d040] Initialized
[NULL @ 000001baaf473400] Opening 'C\:\\Users\\batuh\\Auto-Subtitled-Video-Generator - Copy2\\pages\\local_transcript\\output/transcript.srt' for reading
[file @ 000001baaeb7dc40] Setting default whitelist 'file,crypto,data'
[Parsed_subtitles_0 @ 000001baaeb7d040] Unable to open C\:\\Users\\batuh\\Auto-Subtitled-Video-Generator - Copy2\\pages\\local_transcript\\output/transcript.srt
[AVFilterGraph @ 000001baaf24ef40] Error initializing filter 'subtitles' with args 'C\\\:\\\\Users\\\\batuh\\\\Auto-Subtitled-Video-Generator - Copy2\\\\pages\\\\local_transcript\\\\output/transcript.srt'
Error initializing complex filters.
Invalid argument
[AVIOContext @ 000001baaeb5f880] Statistics: 131072 bytes read, 0 seeks
[AVIOContext @ 000001baaf10b2c0] Statistics: 262222 bytes read, 1 seeks



  


  I tried doing all ffmpeg related things under the generate_subtitled_video function but couldn't make it work either.

  


• 9 Ways to Customise Your Matomo Like a Pro

  5 octobre 2022, par Erin

  Matomo is a feature-rich web analytics platform. As such, it has many layers of depth — core features, extra plug-ins, custom dimensions, reports, extensions and integrations. 

  Most of the product elements you see can be personalised and customised to your needs with minimal restrictions. However, this breadth of choice can be overlooked by new users. 

  In this post, we explain how to get the most out of Matomo with custom reports, dashboards, dimensions and even app design. 

  How to customise your Matomo web analytics

  To make major changes to Matomo (e.g., create custom dashboards or install new plugins), you’ll have to be a Matomo Super User (a.k.a. The Admin). Super Users can also grant administrator permissions to others so that more people could customise your Matomo deployment. 

  Most feature-related customisations (e.g. configuring a custom report, adding custom goal tracking, etc.) can be done by all users. 

  With the above in mind, here’s how you can tweak Matomo to better serve your website analytics needs : 

  1. Custom dashboards

  

  Dashboards provide a panorama view of all the collected website statistics. We display different categories of stats and KPIs as separate widgets — a standalone module you can also customise. 

  On your dashboard, you can change the type, position and number of widgets on display. This is an easy way to create separate dashboard views for different projects, clients or team members. Rather than a one-size-fits-all dashboard, a custom dashboard designed for a specific role or business unit will increase data-driven decision-making and efficiency across the business.

  You can create a new dashboard view in a few clicks. Then select a preferred layout — a split-page view or multi columns. Next, populate the new dashboard area with preferred widgets showing :

  • SEO website rankings 
  • Visits, conversions and revenue 
  • Custom reports 

  Or code a custom widget area to pull specific website stats or other reporting data you need. Once you are done, arrange everything with our drag-and-drop functionality. 

  

  Popular feature use cases

  • Personalised website statistics layout for convenient viewing 
  • Simplified analytics dashboards for the line of business leaders/stakeholders 
  • Project- or client-specific dashboards for easy report sharing 

  Read more about customising Matomo dashboards and widget areas. 

  2. Custom reports

  

  As the name implies, Custom Reports widget allows you to mesh any of the dimensions and metrics collected by Matomo into a custom website traffic analysis. Custom reports save users time by providing specific data needed in one view so there is no need to jump back and forth between multiple reports or toggle through a report to find data.

  For each custom report, you can select up to three dimensions and then apply additional quantitative measurements (metrics) to drill down into the data.

  For example, if you want to closely observe mobile conversion rates in one market, you can create the following custom report :

  • Dimensions : User Type (registered), Device type (mobile), Location (France)
  • Metrics : Visits, Conversion Rate, Revenue, Avg. Generation Time.

  Custom Report widget is available within Matomo Cloud and as a plugin for Matomo On-Premise.

  &lt;script type=&quot;text/javascript&quot;&gt;<br />
       if ('function' === typeof window.playMatomoVideo){<br />
       window.playMatomoVideo(&quot;custom_reports&quot;, &quot;#custom_reports&quot;)<br />
       } else {<br />
       document.addEventListener(&quot;DOMContentLoaded&quot;, function() { window.playMatomoVideo(&quot;custom_reports&quot;, &quot;#custom_reports&quot;); });<br />
       }<br />
  &lt;/script&gt;

  Popular feature use cases

  • Campaign-specific reporting to better understand the impact of different promo strategies 
  • Advanced event tracking for conversion optimization 
  • Market segmentation reports to analyse different audience cohorts 

  Read more about creating and analysing Custom Reports.

  3. Custom widgets

  

  We realise that our users have different degrees of analytics knowledge. Some love in-depth reporting dimensions and multi-row reporting tables. Others just want to see essential stats. 

  To delight both the pros and the novice users, we’ve created widgets — reporting sub-modules you can add, delete or rearrange in a few clicks. Essentially, a widget is a slice of a dashboard area you can populate with extra information. 

  You can add pre-made custom widgets to Matomo or develop your own widget to display custom reports or even external data (e.g., offline sales volume). At the same time, you can also embed Matomo widgets into other applications (e.g., a website CMS or corporate portal).

  Popular feature use cases

  • Display main goals (e.g., new trial sign-ups) on the main dashboard for greater visibility 
  • Highlight cost-per-conversion reporting by combining goals and conversion data to keep your budgets in check 
  • Run omnichannel eCommerce analytics (with embedded offline sales data) to get a 360-degree view into your operations 

  Read more about creating widgets in Matomo (beginner’s guide). 

  4. Custom dimensions 

  

  Dimensions describe the characteristics of reported data. Think of them as “filters” — a means to organise website analytics data by a certain parameter such as “Browser”, “Country”, “Device Type”, “User Type” and many more. 

  Custom Dimensions come in handy for all sorts of segmentation reports. For example, comparing conversion rates between registered and guest users. Or tracking revenue by device type and location. 

  For convenience, we’ve grouped Custom Dimensions in two categories :

  Visit dimensions. These associate metadata about a user with Visitor profiles — a summary of different knowledge you have about your audience. Reports for Visit scoped custom dimensions are available in the Visitors section of your dashboard. 

  Action dimensions. These segment users by specific actions tracked by Matomo such as pageviews, events completion, downloads, form clicks, etc. When configuring Custom Dimensions, you can select among pre-defined action types or code extra action dimensions. Action scoped custom dimensions are available in the Behaviours section of Matomo. 

  Depending on your Matomo version, you can apply 5 – 15 custom dimensions to reports. 

  Important : Since you can’t delete dimensions (only deactivate them), think about your use case first. Custom Dimensions each have their own dedicated reports page on your Matomo dashboard. 

  Popular custom dimension use cases among users :

  • Segmenting reports by users’ screen resolution size to understand how your website performs on different devices
  • Monitor conversion rates for different page types to determine your best-performing assets 

  Read more about creating, tracking and managing Custom Dimensions. 

  5. Custom scheduled reports

  Manually sending reports can be time consuming, especially if you have multiple clients or provide reports to numerous stakeholders. Custom scheduled reports remove this manual process to improve efficiency and ensure timely distribution of data to relevant users.

  Any report in Matomo (default or custom) can be shared with others by email as a PDF file, HTML content or as an attached CSV document. 

  You can customise which data you want to send to different people — your colleagues, upper management, clients or other company divisions. Then set up the frequency of email dispatches and Matomo will do the rest. 

  Auto-scheduling an email report is easy. Name your report, select a Segment (aka custom or standard report), pick time, file format and sender. 

  

  You can also share links to Matomo reports as text messages, if you are using ASPSMS or Clockwork SMS. 

  Popular feature use cases

  • Convenient stakeholder reporting on key website KPIs 
  • Automated client updates to keep clients informed and reduce workload 
  • Easy data downloads for doing custom analysis with business intelligence tools 

  Read more about email reporting features in Matomo. 

  6. Custom alerts

  

  Custom Alerts is a Matomo plugin for keeping you updated on the most important analytics events. Unlike Custom Reports, which provide a complete or segmented analytics snapshot, alerts are better suited for tracking individual events. For example, significant traffic increases from a specific channel, new 404 pages or major goal achievement (e.g., hitting 1,000 sales in a week). 

  Custom Alerts are a convenient way to keep your finger on the pulse of your site so you can quickly remedy an issue or get updated on reaching a crucial KPI promptly. You can receive custom alerts via email or text message in a matter of minutes.

  To avoid flooding your inbox with alerts, we recommend reserving Custom Alerts for a select few use cases (3 to 5) and schedule custom Email Reports to receive general web page analytics. 

  Popular custom alerts use cases among users :

  • Monitor sudden drops in revenue to investigate the cause behind them and solve any issues promptly 
  • Get notified of traffic spikes or sudden dips to better manage your website’s technical performance 

  Read more about creating and managing Custom Alerts. 

  7. Goals

  

  Goals feature helps you better understand how your website performs on certain business objectives such as lead generation, online sales or content discovery. A goal is a quantifiable action you want to measure (e.g., a specific page visit, form submission or a file download). 

  When combined together, Goals make up your sales funnel — a series of specific actions you expect users to complete in order to convert. 

  Goals-setting and Funnel Analytics are a powerful, customisable combo for understanding how people navigate your website ; what makes them take action or, on the contrary, lose interest and bounce off. 

  On Matomo, you can simultaneously track multiple goals, monitor multiple conversions per one visit (e.g., when one user requests two content downloads) and assign revenue targets to specific goals.

  &lt;script type=&quot;text/javascript&quot;&gt;<br />
       if ('function' === typeof window.playMatomoVideo){<br />
       window.playMatomoVideo(&quot;goals&quot;, &quot;#goals&quot;)<br />
       } else {<br />
       document.addEventListener(&quot;DOMContentLoaded&quot;, function() { window.playMatomoVideo(&quot;goals&quot;, &quot;#goals&quot;); });<br />
       }<br />
  &lt;/script&gt;

  Separately, Matomo Cloud users also get access to a premium Funnels feature and Multi Channel Conversion Attribution. On-Premises Matomo users can get both as paid plugins via our Marketplace.

  Popular goal tracking use cases among users :

  • Tracking newsletter subscription to maximise subscriber growth 
  • Conversion tracking for gated content (e.g., eBooks) to understand how each asset performs 
  • Analysing the volume of job applications per post to better interpret your HR marketing performance 

  Read more about creating and managing Goals in Matomo.

  8. Themes

  

  Want to give your Matomo app a distinctive visual flair ? Pick a new free theme for your On-Premises installation. Minimalistic, dark or classic — our community created six different looks that other Matomo users can download and install in a few clicks. 

  If you have some HTML/CSS/JS knowledge, you can also design your own Matomo theme. Since Matomo is an open-source project, we don’t restrict interface customisation and always welcome creativity from our users.

  Read more about designing your own Matomo theme (developer documentation).

  9. White labelling

  

  Matomo is one of the few website analytics tools to support white labelling. White labelling means that you can distribute our product to others under your brand. 

  For example, as a web design agency, you can delight customers with pre-installed GDPR-friendly website analytics. Marketing services providers, in turn, can present their clients with embedded reporting widgets, robust funnel analytics and 100% unsampled data. 

  Apart from selecting a custom theme, you can also align Matomo with your brand by :

  • Customising product name
  • Using custom header/font colours 
  • Change your tracking endpoint
  • Remove links to Matomo.org

  To streamline Matomo customisation and set-up, we developed a White Label plug-in. It provides a convenient set of controls for changing your Matomo deployment and distributing access rights to other users or sharing embedded Matomo widgets). 

  Read more about white labelling Matomo. 

  Learning more about Matomo 

  Matomo has an ever-growing list of features, ranging from standard website tracking controls to unique conversion rate optimisation tools (heatmaps, media analytics, user cohorts and more).

  To learn more about Matomo features you can check our free video web analytics training series where we cover the basics. For feature-specific tips, tricks and configurations, browse our video content or written guides. 

  21 day free trial. No credit card required.

• 5 Key Benefits of Using a Tag Manager

  12 décembre 2021, par erin — Analytics Tips, Marketing

  Websites today have become very complex to manage, and as you continue to look for ways to optimise your website, you’ll want to consider using a Tag Manager. 

  A Tag Manager will help your marketing team seamlessly track how your visitors are engaging with your website’s elements. Without a Tag Manager, you are missing out on business-altering insights.

  In this blog, we’ll cover :

  Tag Manager overview 

  A Tag Manager (AKA Tag Management System or TMS) is a centralised system for implementing, managing and tracking events. A tag is just another word for a piece of code on a website that tracks a specific event. 

  An example of a tag tracking code might be Facebook pixels, ad conversions and other website activities such as signing up to a newsletter or PDF download. 

  Triggers are the actual actions that website visitors take that activate the tag. Examples of triggers are things like : 

  • A thank you page view to show that a visitor has completed a conversion action
  • Clicking a download or sign up button 
  • Scroll depth or how far down users are scrolling on your webpage 

  Each of these will give you insights into how your website is performing and how your users are engaging with your content. Going back to the scroll depth trigger example, this would be particularly helpful for validating bounce rate and finding out where users are dropping off on a page. Discover other ways to take advantage of tags and event tracking. 

  

  5 key benefits of a Tag Manager

  1. Removes the risks of website downtime 

  Tags are powerful for in-depth web analytics. However, tagging opens up the potential for non-technical team members to break the front-end of your website in a couple of clicks. 

  A Tag Manager reduces that risk. For example, Matomo Tag Manager lets you preview tags to see if they are firing before pushing them live. You can also give specific users restricted access so you can approve any tagging before it goes live. 

  Tag Managers protect the functionality of your website and ensure that there is no downtime.

  2. Your website will load faster 

  When it comes to the success of your website, page speed is one of the most important factors. 

  Each time you add a tag to your site, you run the risk of slowing down the page speed. This can quickly build up to a poor performing site and frustrate your visitors.

  You can’t track tags if visitors won’t even stay long enough for your site to load. In fact, 1 in 4 visitors would abandon a website that takes more than 4 seconds to load. According to Deloitte, just a 0.1 second difference in loading speed can affect every step of your customer journey. 

  A Tag Manager, on the other hand, is a lightweight option only requiring one single tag. Using a Tag Manager to track events can make all the difference to your website’s performance and user experience.

  3. Greater efficiency for marketing

  Time is critical in marketing. The longer it takes for a campaign to launch, the greater the chances are that you’re missing out on sales opportunities.

  Waiting for the IT team to tag a thank you page before setting an ad live is inefficient and impacts your bottom line.

  Equipping marketing with a Tag Manager means that they’ll be able to launch campaigns faster and more effectively.

  Check out our Marketer’s Guide to Successful Website Event Tracking for more.

  4. Control all of your tracking and marketing tags in one place 

  Keeping track of what tags are on your site and where they’re located is a complicated task if you aren’t using a Tag Manager. Unmanaged tags can quickly pile up and result in errors with your analytics, like counting conversions twice. 

  Using a Tag Manager to centralise your tags in one easy to manage place reduces the chances of human errors. Instead, your team will be able to quickly see what tags are already in place so they aren’t doubling up on tracking.

  5. Reduce work for the IT team 

  Let’s face it, the IT team has more critical tasks at hand than adding tags to the website. Freeing up your IT team to focus on higher priority tasks should always be a goal.

  Tagging, while crucial for marketing, has the potential to create a lot of extra work for your website developers. Inserting code for each individual tag is time-consuming and means you aren’t collecting data in the meantime.

  Rather than overloading your IT team, empower your marketing team with the ability to add tags with a few clicks. 

  How to choose a Tag Management System

  There are many tools to choose from and the default option tends to be Google Tag Manager (GTM). But before you implement GTM or any other Tag Management Solution, we highly recommend asking these questions :

  1. What are my goals for a Tag Manager ? Before purchasing a Tag Manager, or any tool for that matter, understanding your goals upfront is best practice.
  2. Does the solution offer Tag Manager training resources ? If online Tag Manager training and educational resources are available for the tool, then you’ll be able to hit the ground running and start to see an ROI instantly.
  3. Can I get online support ? In case you need any help with the tool, having access to online support is a big bonus. 
  4. Is it compliant with privacy regulations ? If your business is already compliant, in the process of becoming compliant or future-proofing your tech stack for looming privacy regulations, then researching this is crucial. 
  5. How much does it cost ? If it’s “free”, find out how and why. In most cases, free solutions are just vehicles for collecting data to advertise to your users. 
  6. What do others think about the Tag Manager ? Check out reviews on sites like Capterra or G2 to find out how other businesses rate the tool. 

  Google Tag Manager alternative

  As privacy becomes a greater concern globally for end-users and governments, many businesses are looking for alternatives to the world’s largest advertising company – Google.

  Matomo Tag Manager is more than a Google Tag Manager alternative. With Matomo Tag Manager, you get a GDPR, HIPAA, CCPA and PECR compliant, open source Tag Manager and your data is 100% yours to own.

  Plus, with Matomo Tag Manager you only need one single tracking code for all of your website and tag analytics. No matter what you are tracking (scrolls, clicks, downloads, Heatmaps, visits, etc.), you will only ever need one piece of code on your website and one tool to manage it all. 

  The takeaway 

  Tagging is powerful but can quickly become complicated, risky and time-consuming. Tag Managers reduce these obstacles allowing you to set tags and triggers effortlessly. It empowers marketing teams, streamlines processes and removes the reliance on IT.

  Ready to try Matomo Tag Manager ? Start your 21-day free trial now – no credit card required.