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• 'pjsip-apps/Samples' Cannot functionally run vid_streamutil.c sample

  2 décembre 2020, par ShootingKIng

  Issue Description
After building[Build Varient=Debug, Build Config=x64] the latest pjproject-vs14 (retargeted to MSVS 2017, WINSDK=8.1, because my application works at these config) as per the build instruction on trac website. Successfully built pjsua and samples.

  


  I want to use only RTP + FFMPEG APIs (pjmedia) for my application from pjproject.

  


  My config_site.h

  


  #define PJMEDIA_HAS_VIDEO           1
#define PJMEDIA_HAS_FFMPEG          1


  


  FFMPEG (pre build from ffmpeg-N-100121-g052b4c3481-win64-gpl-shared.zip)

  


  But running the example, vid_streamutil.c did not work as expected (? Whats the normal expected behaviour ?).
It says

  


  ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)


  


  To Reproduce
Steps to reproduce the behavior :

  


  

  1. run vid_streamutil.exe with parameter : --codec=H264 --remote=127.0.0.1:5000 --play-file=test.avi --send-only
(test.avi file being a sample file)

  


  


  Expected behavior
Get some RTP packets in wireshark while listening to ports 4000 and 5000 maybe ? I dont know whats the expected behaviour, documentation dosent say anything about this :(

  


  Logs/Screenshots
Couldn't catch anything on Wireshark.
Console log of vid_streamutil.exe is

  


  vid_streamutil.exe --codec=H264 --remote=127.0.0.1:5000 --send-only --play-file=test.avi
10:25:24.757 os_core_win32. !pjlib 2.10 for win32 initialized
 
10:25:24.840     wmme_dev.c  WMME found 12 devices:
10:25:24.858     wmme_dev.c   dev_id 0: Wave mapper  (in=2, out=2)
10:25:24.860     wmme_dev.c   dev_id 1: Headset Microphone (Arctis 7 Ch  (in=2, out=0)
10:25:24.860     wmme_dev.c   dev_id 2: Microphone (AMM Virtual Audio D  (in=2, out=0)
10:25:24.861     wmme_dev.c   dev_id 3: CABLE Output (VB-Audio Virtual   (in=2, out=0)
10:25:24.864     wmme_dev.c   dev_id 4: VoiceMeeter Output (VB-Audio Vo  (in=2, out=0)
10:25:24.864     wmme_dev.c   dev_id 5: Microphone (Realtek Audio)  (in=2, out=0)
10:25:24.865     wmme_dev.c   dev_id 6: Headphones (Arctis 7 Game)  (in=0, out=2)
10:25:24.866     wmme_dev.c   dev_id 7: Speakers / Headphones (Realtek   (in=0, out=2)
10:25:24.867     wmme_dev.c   dev_id 8: VoiceMeeter Input (VB-Audio Voi  (in=0, out=2)
10:25:24.884     wmme_dev.c   dev_id 9: Headset Earphone (Arctis 7 Chat  (in=0, out=2)
10:25:24.885     wmme_dev.c   dev_id 10: Speakers (AMM Virtual Audio Dev  (in=0, out=2)
10:25:24.887     wmme_dev.c   dev_id 11: Speakers (VB-Audio Virtual Cabl  (in=0, out=2)
10:25:24.887     wmme_dev.c  WMME initialized
10:25:24.890          pjlib  select() I/O Queue created (0000016B2C5F9608)
10:25:24.892 colorbar_dev.c  Colorbar video src initialized with 2 device(s):
10:25:24.915 colorbar_dev.c   0: Colorbar generator
10:25:24.935 colorbar_dev.c   1: Colorbar-active
10:25:24.956   avi_player.c  The AVI file has 2 streams.
10:25:24.976   avi_player.c  AVI file player 'test.avi' created with 2 media ports
10:25:24.994 vid_streamutil  Reading video stream 1280x720 H264 @30.00fps
10:25:25.033          rtp.c  pjmedia_rtp_session_init: ses=0000016B2C6793C8, default_pt=97, ssrc=0x294823
10:25:25.053 vstdec0000016B  Decoding channel created 720x480 I420<-H264 22/1(~22)fps
10:25:25.054          rtp.c  pjmedia_rtp_session_init: ses=0000016B2C62DF1C, default_pt=97, ssrc=0x294823
10:25:25.057 vstenc0000016B  Encoding channel created 1280x720 I420->H264 30/1(~30)fps
10:25:25.060 udp0000016B2C6  SO_RCVBUF set to 65536
10:25:25.061 udp0000016B2C6  SO_SNDBUF set to 65536
10:25:25.062   vid_stream.c  Video stream vstrm0000016B2C678508 created
10:25:25.086 vstenc0000016B  Encoder stream started
10:25:25.104 vstdec0000016B  Decoder stream paused
 [VID_STEAMUTIL] Stream is active, dir is send-only, sending to 127.0.0.1:5000
10:25:25.114 vid_streamutil  Sending 1280x720 H264 @30.00fps

Commands:
  q     Quit

Command: 10:25:25.147 ffmpeg_vid_cod !ffmpeg err -22: Invalid argument
10:25:25.222 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.237 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.250 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.251 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.287 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.311 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.316 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.341 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.353 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.369 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.386 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.387 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.411 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.415 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.452 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.469 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.486 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.496 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.506 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.527 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.547 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.568 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.576 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.604 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.606 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.627 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.648 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.668 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.686 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.711 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.731 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.752 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.769 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.778 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.804 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.827 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.833 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.868 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.886 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.895 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.921 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.923 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.943 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:25.963 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:25.983 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.003 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.019 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.038 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.041 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.060 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.081 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.086 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.109 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.130 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.138 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.162 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.183 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.202 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.220 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.228 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.260 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.281 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.312 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.321 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.321 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.322 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.323 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.323 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.324 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.324 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.333 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.353 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.353 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.381 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.401 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.414 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.429 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.449 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.469 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.480 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.510 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.531 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.553 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.571 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.594 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.615 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.636 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.653 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.671 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.678 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.714 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.736 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.754 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.777 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.781 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
10:25:26.816 ffmpeg_vid_cod  ffmpeg err -22: Invalid argument
10:25:26.836 vstenc0000016B  Codec encode_begin() error: Codec internal creation error (PJMEDIA_CODEC_EFAILED)
EOF while reading stdin, will quit now..

Commands:
  q     Quit

^C


  


  Desktop information :

  


  

  • OS, Distribution & Version : MS Windows 10 Home, 1909

  


  • PJSIP

    

    • version : 2.10

    


    • applied patch(es) : Nothing Extra

    


    • configure script params : Default

    


    • config_site.h contents : Aforementioned

    


    • related third party libraries & versions :
FFMPEG 4.3

    


    


  


  


  #define LIBAVCODEC_VERSION_MAJOR  58
#define LIBAVCODEC_VERSION_MINOR  91
#define LIBAVCODEC_VERSION_MICRO 100


  


  Additional context
I didnt change the default program that must except adding some printf's when program goes to exit label, without this it will be very difficult to know which part of the program jumped to exit : label. Anyways, here is the full code,

  


  vid_streamutil.c (with printfs)

  


  Any help is appreciated ^^'
Thanks.

  


• Blog series part 2 : How to increase engagement of your website visitors, and turn them into customers

  8 septembre 2020, par Joselyn Khor — Analytics Tips, Marketing
  Long gone are the days of simply tracking page views as a measure of engagement. Now it’s about engagement analysis, which is layered and provides insight for effective data-driven decisions.

  Discover how engaged people are with your website by uncovering behavioural patterns that tell you how well your site and content is or isn’t performing. This insight helps you re-evaluate, adapt and optimise your content and strategy. The more engaged they are, the more likely you’ll be able to guide them on a predetermined journey that results in more conversions ; and helps you reach the goals you’ve set for your business. 

  Why is visitor engagement important ?

  It’s vital to measure engagement if you have anything content related that plays a role in your customer’s journey. Some websites may find more value in figuring out how engaging their entire site is, while others may only want to zone in on, say, a blogging section, e-newsletters, social media channels or sign-up pages.

  In the larger scheme of things, engagement can be seen as what’s running your site. Every aspect of the buyer’s journey requires your visitors to be engaged. Whether you’re trying to attract, convert or build a loyal audience base, you need to know your content is optimised to maintain their attention and encourage them along the path to purchase, conversion or loyalty.

  How to increase engagement with Matomo

  You need to know what’s going right or wrong to eventually be able to deliver more riveting content your visitors can’t help but be drawn to. Learn how to apply Matomo’s easy-to-use features to increase engagement :

  1. The Behaviour feature
  2. Heatmaps
  3. A/B Testing
  4. Media Analytics
  5. Transitions
  6. Custom reports
  7. Other metrics to keep an eye on

  1. Look at the Behaviour feature

  It allows you to learn how visitors are responding to your content. This information is gathered by drawing insight from features such as site search, downloads, events and content interactions. Learn more

  

  Matomo’s top five ways to increase engagement with the Behaviour feature :

  Behaviour -> Pages
  Get complete insights on what pages your users engage with, what pages provide little value to your business and see the results of entry and exit pages. If important content is generating low traffic, you need to place it where it can be seen. Spend time where it matters and focus on the content that will engage with your users and see how it eventually converts them into customers.

  Behaviour -> Site search
  Site search tracks how people use your website’s internal search engine. You can see :

  • What search keywords visitors used on your website’s internal search.
  • Which of those keywords resulted in no results (what content your visitors are looking for but cannot find).
  • What pages visitors visited immediately after a search.
  • What search categories visitors use (if your website employs search categories).

  Behaviour -> Downloads
  What are users wanting to take away with them ? They could be downloading .pdfs, .zip files, ebooks, infographics or other free/paid resources. For example, if you were working for an education institution and created valuable information packs for students that you made available online in .pdf format. To see an increase in downloads meant students were finding the .pdfs and realising the need to download them. No downloads could mean the information packs weren’t being found which would be problematic.

  Behaviour -> Events
  Tracking events is a very useful way to measure the interactions your users have with your website content, which are not directly page views or downloads.

  How have Events been used effectively ? A great example comes from one of our customers, Catalyst. They wanted to capture and measure the user interaction of accordions (an area of content that expands or closes depending on how a user interacts with it) to see if people were actually getting all the information available to them on this one page. By creating an Event to record which accordion had been opened, as well as creating events for other user interactions, they were able to figure out which content got the most engagement and which got the least. Being able to see how visitors navigated through their website helped them optimise the site to ensure people were getting the relevant information they were craving.

  Behaviour -> Content interactions
  Content tracking allows you to track interaction within the content of your web page. Go beyond page views, bounce rates and average time spent on page with your content. Instead, you can analyse content interaction rates based on mouse clicking and configuring scrolling or hovering behaviours to see precisely how engaged your users are. If interaction rates are low, perhaps you need to restructure your page layout to grab your user’s attention sooner. Possibly you will get more interaction when you have more images or banner ads to other areas of your business.

  

  Watch this video to learn about the Behaviour feature

  2. Set up Heatmaps

  Effortlessly discover how your visitors truly engage with your most important web pages that impact the success of your business. Heatmaps shows you visually where your visitors try to click, move the mouse and how far down they scroll on each page.

  

  You don’t need to waste time digging for key metrics or worry about putting together tables of data to understand how your visitors are interacting with your website. Heatmaps make it easy and fast to discover where your users are paying their attention, where they have problems, where useless content is and how engaging your content is. Get insights that you cannot get from traditional reports. Learn more

  TRY IT FOR FREE

  3. Carry out A/B testing

  With A/B Testing you reduce risk in your decision-making and can test what your visitors are responding well to. 

  

  Ever had discussions with colleagues about where to place content on a landing page ? Or discussed what the call-to-action should be and assumed you were making the best decisions ? The truth is, you never know what really works the best (and what doesn’t) unless you test it. Learn more

  How to increase engagement with A/B Testing : Test, test and test. This is a surefire way to learn what content is leading your visitors on a path to conversion and what isn’t.

  4. Media Analytics

  Tells you how visitors are engaging with your video or audio content, and whether they’re leading to your desired conversions. Track :

  • How many plays your media gets and which parts they viewed
  • Finish rates
  • How your media was consumed over time
  • How media was consumed on specific days
  • Which locations your users were viewing your content from
  • Learn more

  

  How to increase engagement with Media Analytics : These metrics give a picture of how audiences are behaving when it comes to your content. By showing insights such as, how popular your media content is, how engaging it is and which days content will be most viewed, you can tailor content strategies to produce content people will actually find interesting and watch/listen.

  Matomo example : When we went through the feature video metrics on our own site to see how our videos were performing, we noticed our Acquisition video had a 95% completion rate. Even though it was longer than most videos, the stats showed us it had, by far, the most engagement. By using Media Analytics to get insights on the best and worst performing videos, we gathered useful info to help us better allocate resources effectively so that in the future, we’re producing more videos that will be watched.

  5. Investigate transitions

  See which page visitors are entering the site from and where they exit to. Transitions shows engagement on each page and whether the content is leading them to the pages you want them to be directed to.

  

  This gives you a greater understanding of user pathways. You may be assuming visitors are finding your content from one particular pathway, but figure out users are actually coming through other channels you never thought of. Through Transitions, you may discover and capitalise on new opportunities from external sites.

  How to increase engagement with Transitions : Identify clearly where users may be getting distracted to click away and where other pages are creating opportunity to click-through to conversion. 

  6. Create Custom Reports

  You can choose from over 200 dimensions and metrics to get the insights you need as well as various visualisation options. This makes understanding the data incredibly easy and you can get the insights you need instantly for faster results without the need for a developer. Learn more

  

  How to increase engagement with Custom Reports : Set custom reports to see when content is being viewed and figure out how engaged users are by looking at different hours of the day or which days of the week they’re visiting your website. For example, you could be wondering what hour of the day performed best for converting your customers. Understanding these metrics helps you figure out the best time to schedule your blog posts, pay-per-click advertising, edms or social media posts knowing that your visitors are more likely to convert at different times.

  TRY IT FOR FREE

  7. Other metrics to key an eye on …

  A good indication of a great experience and of engagement is whether your readers, viewers or listeners want to do it again and again.

  “Best” metrics are hard to determine so you’ll need to ask yourself what you want to do or what you want your site to do. How do you want your users to behave or what kind of buyer’s journey do you want them to have ?

  Want to know where to start ? Look at …

  • Bounce rate – a high bounce rate isn’t great as people aren’t finding what they’re looking for and are leaving without taking action. (This offers great opportunities as you can test to see why people are bouncing off your site and figure out what you need to change.)
  • Time on site – a long time on site is usually a good indication that people are spending time reading, navigating and being engaged with your website. 
  • Frequency of visit – how often do people come back to interact with the content on your website ? The higher the % of your visitors that come back time and time again will show how engaged they are with your content.
  • Session length/average session duration – how much time users spend on site each session
  • Pages per session – is great to show engagement because it shows visitors are happy going through your website and learn more about your business.

  Key takeaway

  Whichever stage of the buyer’s journey your visitors are in, you need to ensure your content is optimised for engagement so that visitors can easily spend time on your website.

  “Every single visit by every single visitor is no longer judged as a success or a failure at the end of 29 min (max) session in your analytics tool. Every visit is not a ‘last-visit’, rather it becomes a continuous experience leading to a win-win outcome.” – Avinash Kaushik

  As you can tell, one size does not fit all when it comes to analysing and measuring engagement, but with a toolkit of features, you can make sure you have everything you need to experiment and figure out the metrics that matter to the success of your business and website.

  Concurrently, these gentle nudges for visitors to consume more and more content encourages them along their path to purchase, conversion or loyalty. They get a more engaging website experience over time and you get happy visitors/customers who end up coming back for more.

  TRY IT FOR FREE

  Want to learn how to increase conversions with Matomo ? Look out for the final in this series : part 3 ! We’ll go through how you can boost conversions and meet your business goals with web analytics. 

• Use Google Analytics and risk fines, after CJEU ruling on Privacy Shield

  27 août 2020, par Joselyn Khor — Privacy
  EU websites using Google Analytics and Facebook are being targeted by European privacy group noyb after the invalidation of the Privacy Shield. They filed a complaint against 101 websites for continuing to send data to the US. 

  “A quick analysis of the HTML source code of major EU webpages shows that many companies still use Google Analytics or Facebook Connect one month after a major judgment by the Court of Justice of the European Union (CJEU) - despite both companies clearly falling under US surveillance laws, such as FISA 702. Neither Facebook nor Google seem to have a legal basis for the data transfers.”

  

  The Privacy Shield previously allowed for EU data to be transferred to the US. However, this was invalidated by the Court of Justice of the European Union (CJEU) on July 16, 2020. The CJEU deemed it illegal for any websites to transfer the personal data of European citizens to the US. 

  They also made it clear in a press release that “data subjects can claim compensation for inadmissible data exports (marginal no. 143 of the judgment). This should in particular include non-material damage (“compensation for pain and suffering”) and must be of a deterrent amount under European law.” Which puts extra financial pressure on websites to take the new ruling seriously.

  Immediate action is required after Google Privacy Shield invalidation

  The Berlin Commissioner for Data Protection and Freedom of Information therefore calls on all those responsible under its supervision to observe the decision of the ECJ [CJEU]. Those responsible who transfer personal data to the USA - especially when using cloud services - are now required to immediately switch to service providers in the European Union or in a country with an adequate level of data protection.

  As the ruling is effective immediately, there’s a pressing need for websites using Google Analytics to act, or face getting fined.

  What does this mean for you ?

  If you’re using Google Analytics the safest bet is to stop using it immediately. 

  "Neither Google Analytics nor Facebook Connect are necessary for the operation of these websites and could therefore have been replaced or at least deactivated in the meantime."

  If you still need to use it, then you’ll need to inform your visitors via a clear consent screen. This banner needs to make clear their personal data will be sent to the US, and to educate them about any potential risk related to this. They will then need to explicitly agree to this. 

  Another downside of cookie consent screens is that you may also suffer a damaging loss of visitors. After implementing cookie consent best practices, the UK’s data regulator the Information Commissioner’s Office (ICO) found a 90% drop in traffic, “implying a ninety percent drop in opt-in rates.”

  With an acceptance rate for such consent screens being lower than 10% your analytics becomes guesswork rather than science. 

  Looking for a privacy-respecting alternative to Google Analytics ?

  Privacy compliant Matomo Analytics is one of the best Google Analytics alternatives availalble. 

  With Matomo you’re able to continue using analytics without facing the wrath of both the GDPR and the CJEU. Matomo On-Premise lets you choose where your data is stored, so you can ensure no data is processed in the US. 

  Matomo is privacy-friendly and can be tweaked to comply with all privacy laws. Including the GDPR, HIPAA, CCPA and PECR. The benefits of this include : not needing to use tracking or cookie consent screens (like with GA) ; and avoiding fines because no personal data is collected. You also get 100% accurate data and the ability to protect your user’s privacy.

  Download Matomo

  

  Is your EU business at risk of being fined for using Google Analytics ?

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