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• How correctly show video with transparency in Qt with OpenCV + FFMpeg

  11 avril 2022, par TheEnigmist

  I'm trying to show a video with transparency in a Qt6 application using OpenCV + FFMPEG.
Actually those are tool versions :

  


  

  • Win 11

  


  • Qt 6.3.0

  


  • OpenCV 4.5.5 (built with CMake)

  


  • FFMPEG 2022-04-03-git-1291568c98-full_build-www.gyan.dev

  


  


  I've used a base .mov video with transparency as test (link provided below).
First of all I've converted .mov video to .webm video (VP9) and I see in output text that alpha channel remains

  


  


  ffmpeg -i '.\Retro Bars.mov' -c:v libvpx-vp9 -crf 30 -b:v 0 output.webm

  


  


  Input #0, mov,mp4,m4a,3gp,3g2,mj2,
    ...
    Stream #0:0[0x1](eng): Video: qtrle (rle  / 0x20656C72), argb(progressive),
    ...

Output #0, webm, 
   ...
   Stream #0:0(eng): Video: vp9, yuva420p(tv, progressive),
   ...


  


  But when I show info of output file with ffmpeg it loses alpha channel :

  


  


  ffmpeg -i .\output.webm

  


  


  Input #0, matroska,webm,
    ...
    Stream #0:0(eng): Video: vp9 (Profile 0), yuv420p(tv, progressive),
    ...


  


  If I open output.webm with OBS it is shown correctly without a background, as shown in picture :


  


  If I try to open it with OpenCV + FFMPEG it shows a black background under bars, as shown in picture :


  


  This is how I load video in Qt :

  


  cv::VideoCapture capture;
capture.open(filename, cv::CAP_FFMPEG);
capture.set(cv::CAP_PROP_CONVERT_RGB, false); // try forcing load alpha channel
... //in a thread
while (capture.read(frame)) {
    qDebug() << "c" << frame.channels() << "t" <<  frame.type() << "d" <<  frame.depth(); // output: c 3 t 16 d 0
    cv::cvtColor(frame, frame, cv::COLOR_BGR2RGBA); //useless since no alpha channel is detected
    img = QImage(frame.data, frame.cols, frame.rows, QImage::Format_RGBA8888);
    emit processedImage(img); // to show image in a QLabel with QPixmap::fromImage(img)
}


  


  I think the problem is when I load the video with OpenCV, it doens't detect alpha channel, since I can load correctly in other player (obs, html5, etc.)

  


  What I'm wrong with all process to show this video in Qt with transparency ?

  


  EDIT : Added dropbox link with test video + ffmpeg outputs :
sample items

  


• "wrong sample count" When reading MP4 files using OpenCV

  26 octobre 2022, par Object Unknown

  I want to marge some mp4 videos using OpenCV library, but when I try to read those videos using cv::VideoCapture, it outputs like that :

  


  [mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[h264 @ 000001EB9AAE9D80] co located POCs unavailable
[h264 @ 000001EB9AAE7D80] co located POCs unavailable
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[h264 @ 000001EB9A128600] co located POCs unavailable
[h264 @ 000001EB9A129840] co located POCs unavailable
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB9AA28E40] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[h264 @ 000001EB9A169B00] co located POCs unavailable
[h264 @ 000001EB9A16B680] co located POCs unavailable
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[h264 @ 000001EB960CD680] co located POCs unavailable
[h264 @ 000001EB960CC8C0] co located POCs unavailable
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[h264 @ 000001EB9A81DDC0] co located POCs unavailable
[h264 @ 000001EB9A81B000] co located POCs unavailable
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[h264 @ 000001EB960CB200] co located POCs unavailable
[h264 @ 000001EB960CBFC0] co located POCs unavailable
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[h264 @ 000001EB99F206C0] co located POCs unavailable
[h264 @ 000001EB99F20B40] co located POCs unavailable
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[h264 @ 000001EB9A81D480] co located POCs unavailable
[h264 @ 000001EB9A81B000] co located POCs unavailable
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[h264 @ 000001EB9AD02C00] co located POCs unavailable
[h264 @ 000001EB9AD02300] co located POCs unavailable
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[h264 @ 000001EB9A81B480] co located POCs unavailable
[h264 @ 000001EB9A81B940] co located POCs unavailable
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[h264 @ 000001EB9AD02780] co located POCs unavailable
[h264 @ 000001EB9AD01E40] co located POCs unavailable
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count
[mov,mp4,m4a,3gp,3g2,mj2 @ 000001EB96084B80] wrong sample count


  


  and just exited with exit value 0. I want to know why it is reporting this and how to solve it please.

  


  Heres my demo code :

  


  #include <string>&#xA;#include <iostream>&#xA;#include <opencv2></opencv2>core/core.hpp>&#xA;#include <opencv2></opencv2>video/video.hpp>&#xA;#include <opencv2></opencv2>imgproc/imgproc.hpp>&#xA;#include <opencv2></opencv2>videoio/videoio.hpp>&#xA;#include <opencv2></opencv2>highgui/highgui.hpp>&#xA;&#xA;int main()&#xA;{&#xA;        cv::Mat frame;&#xA;        cv::VideoCapture vcap;&#xA;        for (int i = 1; i &lt;= 60; i&#x2B;&#x2B;)&#xA;        {&#xA;            if (!vcap.open("G:\\Users\\15819\\Desktop\\Demo\\demo (" &#x2B; std::to_string(i) &#x2B; ").mp4"))&#xA;            {&#xA;                std::cout &lt;&lt; "Failed to Open File: demo (" &lt;&lt; i &lt;&lt; ").mp4" &lt;&lt; std::endl;&#xA;                continue;&#xA;            }&#xA;            while (!vcap.read(frame))&#xA;                cv::imshow("video", frame);&#xA;        }&#xA;        return 0;&#xA;}&#xA;</iostream></string>

  


  I installed the OpenCV and FFmpeg library using vcpkg, here's the library information (displayed by vcpkg list command) :

  


  ffmpeg:x64-windows                                4.4.1#21            a library to decode, encode, transcode, mux, dem...
ffmpeg:x86-windows                                4.4.1#21            a library to decode, encode, transcode, mux, dem...
ffmpeg[avcodec]:x64-windows                                           Build the avcodec library
ffmpeg[avcodec]:x86-windows                                           Build the avcodec library
ffmpeg[avdevice]:x64-windows                                          Build the avdevice library
ffmpeg[avdevice]:x86-windows                                          Build the avdevice library
ffmpeg[avfilter]:x64-windows                                          Build the avfilter library
ffmpeg[avfilter]:x86-windows                                          Build the avfilter library
ffmpeg[avformat]:x64-windows                                          Build the avformat library
ffmpeg[avformat]:x86-windows                                          Build the avformat library
ffmpeg[openh264]:x64-windows                                          H.264 de/encoding via openh264
ffmpeg[openh264]:x86-windows                                          H.264 de/encoding via openh264
ffmpeg[swresample]:x64-windows                                        Build the swresample library
ffmpeg[swresample]:x86-windows                                        Build the swresample library
ffmpeg[swscale]:x64-windows                                           Build the swscale library
ffmpeg[swscale]:x86-windows                                           Build the swscale library
opencv4:x64-windows                               4.6.0#6             computer vision library
opencv4:x86-windows                               4.6.0#6             computer vision library
opencv4[default-features]:x64-windows                                 Platform-dependent default features
opencv4[default-features]:x86-windows                                 Platform-dependent default features
opencv4[dnn]:x64-windows                                              Enable dnn module
opencv4[dnn]:x86-windows                                              Enable dnn module
opencv4[ffmpeg]:x64-windows                                           ffmpeg support for opencv
opencv4[ffmpeg]:x86-windows                                           ffmpeg support for opencv
opencv4[jpeg]:x64-windows                                             JPEG support for opencv
opencv4[jpeg]:x86-windows                                             JPEG support for opencv
opencv4[png]:x64-windows                                              PNG support for opencv
opencv4[png]:x86-windows                                              PNG support for opencv
opencv4[qt]:x64-windows                                               Qt GUI support for opencv
opencv4[qt]:x86-windows                                               Qt GUI support for opencv
opencv4[quirc]:x64-windows                                            Enable QR code module
opencv4[quirc]:x86-windows                                            Enable QR code module
opencv4[tiff]:x64-windows                                             TIFF support for opencv
opencv4[tiff]:x86-windows                                             TIFF support for opencv
opencv4[webp]:x64-windows                                             WebP support for opencv
opencv4[webp]:x86-windows                                             WebP support for opencv
opencv:x64-windows                                4.6.0               Computer vision library
opencv:x86-windows                                4.6.0               Computer vision library
opencv[default-features]:x64-windows                                  Platform-dependent default features
opencv[default-features]:x86-windows                                  Platform-dependent default features
opencv[dnn]:x64-windows                                               Enable dnn module
opencv[dnn]:x86-windows                                               Enable dnn module
opencv[jpeg]:x64-windows                                              JPEG support for opencv
opencv[jpeg]:x86-windows                                              JPEG support for opencv
opencv[png]:x64-windows                                               PNG support for opencv
opencv[png]:x86-windows                                               PNG support for opencv
opencv[quirc]:x64-windows                                             Enable QR code module
opencv[quirc]:x86-windows                                             Enable QR code module
opencv[tiff]:x64-windows                                              TIFF support for opencv
opencv[tiff]:x86-windows                                              TIFF support for opencv
opencv[webp]:x64-windows                                              WebP support for opencv
opencv[webp]:x86-windows                                              WebP support for opencv


  


  Other Environments :

  


  OS: Windows 11 x64 Professional Workstation
IDE: Visual Studio 2022
Project C++ Standard: C++14
Project Platform: x64 Release


  


• 10 Matomo Features You Possibly Didn’t Know About

  28 octobre 2022, par Erin

  Most users know Matomo as the privacy-focussed web analytics tool with data accuracy, superior to Google Analytics. 

  And we’re thrilled to be that — and more ! 

  At Matomo, our underlying product vision is to provide a full stack of accurate, user-friendly and privacy-mindful online marketing tools. 

  Over the years, we’ve expanded beyond baseline website statistics. Matomo Cloud users also get to benefit from additional powerful tools for audience segmentation, conversion optimisation, advanced event tracking and more. 

  Here are the top 10 advanced Matomo features you wish you knew about earlier (but won’t stop using now !). 

  Funnels

  At first glance, most customer journeys look sporadic. But every marketer will tell you that there is a method to almost every users’ madness. Or more precisely — there’s a method you can use to guide users towards conversions. 

  That’s called a customer journey — a schematic set of steps and actions people complete from developing awareness and interest in your solution to consideration and finally conversion.

  On average, 8 touchpoints are required to turn a prospect into a customer. Though the number can be significantly bigger in B2B sales and smaller for B2C Ecommerce websites. 

  With the Funnels feature, you can first map all the on-site touchpoints (desired actions) for different types of customers. Then examine the results you’re getting as prospects move through these checkbox steps.

  Funnel reports provide :

  • High-level metrics such as “Funnel conversion rate”, “Number of funnel conversions”, “Number of funnel entries”. 
  • Drilled-down reports for each funnel and each tracked action within it. This way you can track the success rates of each step and estimate their contribution to the cumulative effect.

  Segmented funnel reports for specific user cohorts (with Matomo Segmentation enabled).

  

  What makes funnels so fun (pun intended) ? The variety of use cases and configurations ! 

  You can build funnels to track conversion rates for :

  • Newsletter subscriptions
  • Job board applications 
  • Checkout or payment 
  • Product landing pages
  • Seasonal promo campaigns

  …. And pretty much any other page where users must complete a meaningful action. So go test this out. 

  Form Analytics

  On-site forms are a 101 tactic for lead generation. For most service businesses, a “contact request” or a “booking inquiry” submission means a new lead in your pipeline. 

  That said : the average on-site form conversion rates across industries stand at below 50% : 

  • Property – 37% 
  • Telecoms – 40%
  • Software — 46.83%

  That’s not bad, but it could be better. If only you could figure out why people abandon your forms….

  Oh wait, Matomo Form Analytics can supply you with answers. Form Analytics provide real-time information on key form metrics — total views, starter rate, submitter rate, conversions and more.

  

  Separately the average form hesitation time is also provided (in other words, the time a user contemplates if filling in a form is worth the effort). Plus, Matomo also tracks the time spent on form submission.

  You can review : 

  • Top drop-off fields – to understand where you are losing prospects. These fields should either be removed or simplified (e.g., with a dropdown menu) to increase conversions.
  • Most corrected-field – this will provide a clear indication of where your prospects are struggling with a form. Providing help text can simplify the process and increase conversions. 
  • Unesserary fields – with this metric, you’ll know which optional fields your leads aren’t interested in filling in and can remove them to help drive conversions. 

  With Form Analytics, you’ll be able to boost conversions and create a better on-site experience with accurate user data. 

  A/B testing

  Marketing is both an art and a science. A/B testing (or split testing) helps you statistically verify which creative ideas perform better. 

  A good conversion rate optimisation (CRO) practice is to test different elements and to do so often to find your top contenders.

  What can you split test ? Loads of things :

  • Page slogans and call-to-actions 
  • Button or submission form placements
  • Different landing page designs and layouts
  • Seasonal promo offers and banners
  • Pricing information 
  • Customer testimonial placements 

  More times than not, those small changes in page design or copy can lead to a double-digit lift in conversion rates. Accounting software Sage saw a 30% traffic boost after changing the homepage layout, copy and CTAs based on split test data. Depositphotos, in turn, got a 9.32% increase in account registration rate (CR) after testing a timed pop-up registration form. 

  The wrinkle ? A/B testing software isn’t exactly affordable, with tools averaging $119 – $1,995 per month. Plus, you then have to integrate a third-party tool with your website analytics for proper attribution — and this can get messy.

  Matomo saves you the hassle in both cases. An A/B testing tool is part of your Cloud subscription and plays nicely with other features — goal tracking, heatmaps, historic visitor profiles and more. 

  You can run split tests with Matomo on your websites or mobile apps — and find out if version A, B, C or D is the top performer. 

  

  Advertising Conversion Exports

  A well-executed search marketing or banner remarketing campaign can drive heaps of traffic to your website. But the big question is : How much of it will convert ?

  The AdTech industry has a major problem with proper attribution and, because of it, with ad fraud. 

  Globally, digital ad fraud will cost advertisers a hefty $8 billion by the end of 2022. That’s when another $74 million in ad budgets get wasted per quarter. 

  The reasons for ad budget waste may vary, but they often have a common denominator : lack of reliable conversion tracking data.

  Matomo helps you get a better sense of how you spend your cents with Advertising Conversion Reports. Unlike other MarTech analytics tools, you don’t need to embed any third-party advertising network trackers into your website or compromise user privacy.

  Instead, you can easily export accurate conversion data from Matomo (either manually via a CSV file or automated with an HTTPS link) into your Google Ads, Microsoft Advertising or Yandex Ads for cross-validation. This way you can get an objective view of the performance of different campaigns and optimise your budget allocations accordingly. 

  Find out more about tracking ad campaigns with Matomo.

  Matomo Tag Manager

  The marketing technology landscape is close to crossing 10,000 different solutions. Cross-platform advertising trackers and all sorts of customer data management tools comprise the bulk of that growing stack. 

  Remember : Each new tool embed adds extra “weight” to your web page. More tracking scripts equal slower page loading speed — and more frustration for your users. Likewise, extra embeds often means dialling up the developer (which takes time). Or tinkering with the site code yourself (which can result in errors and still raise the need to call a developer). 

  With Tag Manager, you can easily generate tags for :

  • Custom analytics reports 
  • Newsletter signups
  • Affiliates 
  • Form submission tracking 
  • Exit popups and surveys
  • Ads and more

  With Matomo Tag Manager, you can monitor, update or delete everything from one convenient interface. Finally, you can programme custom triggers — conditions when the tag gets activated — and specify data points (variables) it should collect. The latter is a great choice for staying privacy-focused and excluding any sensitive user information from processing. 

  With our tag management system (TMS), no rogue tags will mess up your analytics or conversion tracking. 

  Session recordings

  User experience (UX) plays a pivotal role in your conversion rates. 

  A five-year McKinsey study of 300 publicly listed companies found that companies with strong design practices have 32 percentage points higher revenue growth than their peers. 

  But what makes up a great website design and browsing experience ? Veteran UX designers name seven qualities :

  

  To figure out if your website meets all these criteria, you can use Session Recording — a tool for recording how users interact with your website. 

  By observing clicks, mouse moves, scrolls and form interactions you can determine problematic website design areas such as poor header navigation, subpar button placements or “boring” blocks of text. 

  Such observational studies are a huge part of the UX research process because they provide unbiased data on interaction. Or as Nielsen Norman Group puts it :

  “The way to get user data boils down to the basic rules of usability :

  • Watch what people actually do.
  • Do not believe what people say they do.
  • Definitely don’t believe what people predict they may do in the future.” 

  Most user behaviour analytics tools sell such functionality for a fee. With Matomo Cloud, this feature is included in your subscription. 

  Heatmaps

  While Session Replays provide qualitative insights, Heatmaps supply you with first-hand qualitative insights. Instead of individual user browsing sessions, you get consolidated data on where they click and how they scroll through your website. 

  

  Heatmaps are another favourite among UX designers and their CRO peers because you can :

  • Validate earlier design decisions around information architecture, page layout, button placements and so on. 
  • Develop new design hypotheses based on stats and then translate them into website design improvements. 
  • Identify distractive no-click elements that confuse users and remove them to improve conversions. 
  • Locate problematic user interface (UI) areas on specific devices or operating systems and improve them for a seamless experience.

  To get even more granular results, you can apply up to 100 Matomo segments to drill down on specific user groups, geographies or devices. 

  This way you can make data-based decisions for A/B testing, updating or redesigning your website pages. 

  Custom Alerts

  When it comes to your website, you don’t want to miss anything big — be it your biggest sales day or a sudden nosedive in traffic. 

  That’s when Custom Alerts come in handy. 

  

  With a few clicks, you can set up email or text-based alerts about important website metrics. Once you hit that metric, Matomo will send a ping. 

  You can also set different types of Custom Alerts for your teams. For example, your website administrator can get alerted about critical technical performance issues such as a sudden spike in traffic. It can indicate a DDoS attack (in the worst case) — and timely resolution is crucial here. Or suggest that your website is going viral and you might need to provision extra computing resources to ensure optimal site performance.

  Your sales team, in turn, can get alerted about new form submissions, so that they can quickly move on to lead scoring and subsequent follow-ups. 

  Use cases are plentiful with this feature. 

  Custom Dashboards and Reports

  Did you know you can get a personalised view of the main Matomo dashboards ? 

  By design, we made different website stats available as separate widgets. Hence, you can cherry-pick which stats get a prominent spot. Moreover, you can create and embed custom widgets into your Matomo dashboard to display third-party insights (e.g., POS data).

  Set up custom dashboard views for different teams, business stakeholders or clients to keep them in the loop on relevant website metrics. 

  

  Custom Reports feature, in turn, lets you slice and dice your traffic analytics the way you please. You can combine up to three different data dimensions per report and then add any number of supported metrics to get a personalised analytics report.

  For example, to zoom in on your website performance in a specific target market you can apply “location” (e.g., Germany) and “action type” (e.g., app downloads) dimensions and then get segmented data on metrics such as total visits, conversion rates, revenue and more. 

  Get to know even more ways to customise Matomo deployment.

  Roll Up Report

  Need to get aggregated traffic analytics from multiple web properties, but not ready to pay $150K per year for Google Analytics 360 for that ?

  We’ve got you with Roll-Up Reporting. You can get a 360-degree view into important KPIs like global revenue, conversion rates or form performance across multiple websites, online stores, mobile apps and even Intranet properties.

  

  Setting up this feature takes minutes, but saves you hours on manually exporting and cross-mapping data from different web analytics tools. 

  Channel all those saved hours into more productive things like increasing your conversion rates or boosting user engagement. 

  Avoid Marketing Tool Sprawl with Matomo 

  With Matomo as your website analytics and conversion optimisation app, you don’t need to switch between different systems, interfaces or have multiple tracking codes embedded on your site.

  And you don’t need to cultivate a disparate (and expensive !) MarTech tool stack — and then figure out if each of your tools is compliant with global privacy laws.

  All the tools you need are conveniently housed under one roof. 

  Want to learn more about Matomo features ? Check out product training videos next ! 

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