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• How Media Analytics for Piwik gives you the insights you need to measure how effective your video and audio marketing is – Part 2

  
  2 février 2017, par InnoCraft — Community

  In Part 1 we have covered some of the Media Analytics features and explained why you cannot afford to not measure the media usage on your website. Chances are, you are wasting or losing money and time by not making the most out of your marketing strategy this very second. In this part, we continue showing you some more insights you can expect to get from Media Analytics and how nicely it is integrated into Piwik.

  Video, Audio and Media Player reports

  Media Analytics adds several new reports around videos, audios and media players. They are all quite similar and give you similar insights so we will mainly focus on the Video Titles report.

  Metrics

  The above mentioned reports give you all the same insights and features so we will mainly focus on the “Video Titles” report. When you open such a report for the first time, you will see a report like this with the following metrics :

  

  • “Impressions”, the number of times a visitor has viewed a page where this media was included.
  • “Plays”, the number of times a visitor watched or listened to this media.
  • “Play rate”, the percentage of visitors that watched or listened to a media after they have visited a page where this media was included.
  • “Finishes”, the percentage of visitors who played a media and finished it.
  • “Avg. time spent”, the average amount of time a visitor spent watching or listening to this media.
  • “Avg. media length” the average length of a video or audio media file. This number may vary for example if the media is a stream.
  • “Avg completion” the percentage of how much visitors have watched of a video.

  If you are not sure what a certain metric means, simply hover the metric title in the UI and you will get a detailed explanation. By changing the visualization to the “All Columns Table” in the bottom of the report, you get to see even more metrics like “Plays by unique visitors”, “Impressions by unique visitors”, “Finish rate”, “Avg. time to play aka hesitation time”, “Fullscreen rate” and we are always adding more metrics.

  These metrics are available for the following reports :

  • “Video / Audio Titles” shows you all metrics aggregated by video or audio title
  • “Video / Audio Resource URLs” shows you all metrics aggregated by the video or audio resource URL, for example “https://piwik.org/media.mp4”.
  • “Video / Audio Resource URLs grouped” removes some information from the URLs like subdomain, file extensions and other information to get aggregated metrics when you provide the same media in different formats.
  • “Videos per hour in website’s timezone” lets you find out how your media content is consumed depending on the hour of the day. You might realize that your media is consumed very differently in the morning vs at night.
  • “Video Resolutions” lets you discover how your video is consumed depending on the resolution.
  • “Media players” report is useful if you use different media players on your websites or apps and want to see how engagement with your media compares by media player.

  Row evolution

  At InnoCraft, we understand that static numbers are not so useful. When you see for example that yesterday 20 visitors played a certain media, would you know whether this is good or bad ? This is why we always give you the possibility to see the data in relation to the recorded data in the past. To see how a specific media performs over time, simply hover a media title or media resource URL and click on the “Row Evolution” icon.

  

  Now you can see whether actually more or less visitors played your chosen video for the selected period. Simply click on any metric name and the chosen metrics will be plotted in the big evolution graph.

  This feature is similar to the Media Overall evolution graph introduced in Part 1, but shows you a detailed evolution for an individual media title or resource.

  Media details

  Now that you know some of the most important media metrics, you might want to look a bit deeper into the user behaviour. For example we mentioned before the “Avg time spent on media” metric. Such an average number doesn’t let you know whether most visitors spent about the same time watching the video, or whether there were many more visitors that watched it only for a few seconds and a few that watched it for very long.

  One of the ways to get this insight is by again hovering any media title or resource URL and clicking on the “Media details” icon. It will open a new popup showing you a new set of reports like these :

  

  The “Time spent watching” and “How far visitors reached in the media” bar charts show you on the X-Axis how much time each visitor spent on watching a video and how far in the video they reached. On the Y-Axis you see the number of visitors. This lets you discover whether your users for example jump often to the middle or end of the video and which parts of your video was seen most often.

  

  The “How often the media was watched in a certain hour” and “Which resolutions the media was watched” is similar to the reports introduced in Part 1 of the blog post. However, this time instead of showing aggregated video or audio content data, they display data for a specific media title or media resource URL.

  Segmented audience log

  In Part 1 we have already introduced the Audience Log and explained that it is useful to better understand the user behaviour. Just a quick recap : The Audience Log shows you chronologically every action a specific visitor has performed on your website : Which pages they viewed, how they interacted with your media, when they clicked somewhere, and much more.

  By hovering a media title or a media resource and then selecting “Segmented audience log” you get to see the same log, but this time it will show only visitors that have interacted with the selected media. This will be useful for you for example when you notice an unusual value for a metric and then want to better understand why a metric is like that.

  

  Applying segments

  Media Analytics lets you apply any Piwik segment to the media reports allowing you to dice your visitors or personas multiplying the value that you get out of Media Analytics. For example you may want to apply a segment and analyze the media usage for visitors that have visited your website or mobile app for the first time vs. recurring visitors. Sometimes it may be interesting how visitors that converted a specific goal or purchased something consume your media, the possibilities are endless. We really recommend to take advantage of segments to understand your different target groups even better.

  The plugin also adds a lot of new segments to your Piwik letting you segment any Piwik report by visitors that have viewed or interacted with your media. For example you could go to the “Visitors => Devices” report and apply a media segment to see which devices were used the most to view your media. You can also combine segments to see for example how often your goals were converted when a visitor viewed media for longer than 10 seconds after waiting for at least 20 seconds before playing your media and when they played at least 3 videos during their visit.

  Widgets, Scheduled Reports, and more.

  This is not where the fun ends. Media Analytics defines more than 15 new widgets that you can add to your dashboard or export it into a third party website. You can set up Scheduled Reports to receive the Media reports automatically via email or sms or download the report to share it with your colleagues. It works also very well with Custom Alerts and you can view the Media reports in the Piwik Mobile app for Android and iOS. Via the HTTP Reporting API you can fetch any report in various formats. The plugin is really nicely integrated into Piwik we would need some more blog posts to fully cover all the ways Media Analytics advances your Piwik experience and how you can use and dig into all the data to increase your conversions and sales.

  How to get Media Analytics and related features

  You can get Media Analytics on the Piwik Marketplace. If you want to learn more about this feature, you might be also interested in the Media Analytics User Guide and the Media Analytics FAQ.

• Lawful basis for processing personal data under GDPR with Matomo

  30 avril 2018, par InnoCraft

  Disclaimer : this blog post has been written by digital analysts, not lawyers. The purpose of this article is to explain what is a lawful basis and which one you can use with Matomo in order to be GDPR compliant. This work comes from our interpretation of the following web page from the UK privacy commission : ICO. It cannot be considered as professional legal advice. So as GDPR, this information is subject to change. GDPR may be also known as DSGVO in German, BDAR in Lithuanian, RGPD in Spanish, French, Italian, Portuguese. This blog post contains public sector information licensed under the Open Government Licence v3.0.

  The golden rule under GDPR is that you need to have a lawful basis in order to process personal data. Note that it is possible to not process personal data with Matomo. When you do not collect any personal data, then you do not need to determine a lawful basis and this article wouldn’t apply to you.

  “If no lawful basis applies to your processing, your processing will be unlawful and in breach of the first principle.“

  Source : ICO, based on article 6 of GDPR.

  As you may process personal data in Matomo, you have to :

  1. define a lawful basis.
  2. document your choice.
  3. inform your visitor about it in a privacy notice.

  Even if you think you don’t process personal data, we recommend reading this post about personal data in Matomo (personal data may be hidden in many ways).

  Note that if you are processing special category data (ethnic origin, politics, religion, trade union membership…) or criminal offence data ; extra responsibilities are applied, and we will not detail them in this blog post.

  1 – Define a lawful basis

  There are 6 different lawful bases all defined within article 6 of the GDPR official text :

  1. Consent : the data subject has given consent to the processing of his or her personal data for one or more specific purposes.
  2. Contract : processing is necessary for the performance of a contract to which the data subject is party or in order to take steps at the request of the data subject prior to entering into a contract.
  3. Legal obligation : processing is necessary for compliance with a legal obligation to which the controller is subject.
  4. Vital interests : processing is necessary in order to protect the vital interests of the data subject or of another natural person.
  5. Public task : processing is necessary for the performance of a task carried out in the public interest or in the exercise of an official authority vested in the controller.
  6. Legitimate interests : processing is necessary for the purposes of the legitimate interests pursued by the controller or by a third party ; except where such interests are overridden by the interests or fundamental rights and freedoms of the data subject which require protection of personal data, in particular where the data subject is a child.

  As you can see, most of them are not applicable to Matomo. As ICO is mentioning it within their documentation :

  “In many cases you are likely to have a choice between using legitimate interests or consent.”

  “Consent” or “Legitimate interests” : which lawful basis is the best when using Matomo ?

  Well, there is no right or wrong answer here.

  In order to make this choice, ICO listed on their website different questions you should keep in mind :

  • Who does the processing benefit ?
  • Would individuals expect this processing to take place ?
  • What is your relationship with the individual ?
  • Are you in a position of power over them ?
  • What is the impact of the processing on the individual ?
  • Are they vulnerable ?
  • Are some of the individuals concerns likely to object ?
  • Are you able to stop the processing at any time on request ?

  From our perspective, “Legitimate interests” should be used in most of the cases as :

  • The processing benefits to the owner of the website and not to a third party company.
  • A user expects to have their data kept by the website itself.
  • Matomo provides many features in order to show how personal data is processed and how users can exercise their rights.
  • As the data is not used for profiling, the impact of processing personal data is very low.

  But once more, it really depends ; if you are processing personal data which may represent a risk to the final user, then getting consent is for us the right lawful basis.

  If you are not sure, at the time of writing ICO is providing a tool in order to help you make this decision :

  

  Note that once you choose a lawful basis, it is highly recommended not to switch to another unless you have a good reason.

  What are the rights that a data subject can exercise ?

  According to the lawful basis you choose for processing personal data with Matomo, your users will be able to exercise different rights :

  	Right to be informed	Right of access	Right to erasure	Right to portability	Right to object	Right to withdraw consent
  Legitimate interests	X	X	X		X
  Consent	X	X	X	X		X

   

  • Right to be informed : whatever the lawful basis you choose, you need to inform your visitor about it within your privacy notice.
  • Right of access : as described in article 15 of GDPR. Your visitor has the right to access the personal data you are processing about them. You can exercise their right directly within the page “GDPR Tools” in your Matomo.
  • Right to erasure : it means that a visitor will be able to ask you to erase all their data. You can exercise the right to erasure directly within the page “GDPR Tools” in your Matomo.
  • Right to portability : it means that you need to export the data which concern the individual in a machine-readable format and provide them with their personal data. You can exercise their right directly within the page “GDPR Tools” in your Matomo.
  • Right to object : it means that your visitor has the right to say no to the processing of their personal data. In order to exercise this right, you need to implement the opt-out feature on your website.
  • Right to withdraw consent : it means that your visitor can remove their consent at any time. We developed a feature in order to do just that. You can learn more by opening the page “Privacy > Asking for consent” in your Matomo.

  2 – Document your choice

  Once you choose “Legitimate interests” or “Consent” lawful basis, you will have some obligations to fulfill. From our interpretation, “Legitimate interests” means writing more documentation, “Consent” means a more technical approach.

  What should I do if I am processing personal data with Matomo based on “Legitimate interests ?

  ICO is providing a checklist for “Legitimate interests”, below is our interpretation :

  • Check that legitimate interests is the most appropriate lawful basis.

  Our interpretation : document and justify why you choose this lawful basis in particular. This tool from ICO can help you.

  • Understand your responsibility to protect the individual’s interests.

  Our interpretation : you need to take all the measures in order to protect your users privacy and data security. Please refer to our guide in order to secure your Matomo installation.

  • Conduct a legitimate interests assessment (LIA) and keep a record of it to ensure that you can justify your decision. This document is composed of a set of questions on those 3 key concerns : 1) purpose, 2) necessity, 3) balancing.

  1) Purpose :

  • Why do you want to process the data – what are you trying to achieve ?
  • Who benefits from the processing ? In what way ?
  • Are there any wider public benefits to the processing ?
  • How important are those benefits ?
  • What would the impact be if you couldn’t go ahead ?
  • Would your use of the data be unethical or unlawful in any way ?

  2) Necessity :

  • Does this processing actually help to further that interest ?
  • Is it a reasonable way to go about it ?
  • Is there another less intrusive way to achieve the same result ?

  3) Balancing :

  • What is the nature of your relationship with the individual ?
  • Is any of the data particularly sensitive or private ?
  • Would people expect you to use their data in this way ?
  • Are you happy to explain it to them ?
  • Are some people likely to object or find it intrusive ?
  • What is the possible impact on the individual ?
  • How big an impact might it have on them ?
  • Are you processing children’s data ?
  • Are any of the individuals vulnerable in any other way ?
  • Can you adopt any safeguards to minimise the impact ?
  • Can you offer an opt-out ?

  • Identify the relevant legitimate interests.
  • Check that the processing is necessary and there is no less intrusive way to achieve the same result.
  • Perform a balancing test, and be confident that the individual’s interests do not override those legitimate interests.
  • Use individuals’ data in ways they would reasonably expect, unless you have a very good reason.

  Our interpretation : use those data to improve user experience for example.

  • Do not use people’s data in ways they would find intrusive or which could cause them harm, unless you have a very good reason.

  Our interpretation : ask yourself if this data is representing a risk for the individuals.

  • If you process children’s data, take extra care to make sure you protect their interests.
  • Consider safeguards to reduce the impact where possible.

  Our interpretation : Check if your web hosting provider is providing appropriate safeguards.

  • Consider whether you can offer an opt out.

  Our interpretation : Matomo is providing you the opt-out feature.

  • If your LIA identifies a significant privacy impact, consider whether you also need to conduct a DPIA.

  Our interpretation : A DPIA can easily be conducted by using this software from the French privacy commission.

  • Regularly review your LIA and update it when circumstances change.
  • Include information about your legitimate interests in your privacy information.

  As you see, going for “Legitimate interests” requires a lot of written documentation. Let’s see how “Consent” differ.

  What should I do if I am processing personal data with Matomo based on “Consent” ?

  As previously mentioned, using “Consent” rather than “Legitimate interests” is more technical but less intense in terms of documentation. Like for “Legitimate interests”, ICO is providing a checklist for “Consent” which is divided into 3 key categories : 1) asking for consent, 2) recording consent, and 3) managing consent.

  1. Asking for consent :
     1. Check that consent is the most appropriate lawful basis for processing.
     2. Make the request for consent prominent and separate from your terms and conditions.
     3. Ask people to positively opt in. Don’t use pre-ticked boxes or any other type of default consent.
     4. Use clear, plain language that is easy to understand.
     5. Specify why you want the data and what you are going to do with it.
     6. Give individual (‘granular’) options to consent separately to different purposes and types of processing.
     7. Name your organisation and any third party controllers who will be relying on the consent.
     8. Tell individuals they can withdraw their consent.
     9. Ensure that individuals can refuse to consent without detriment.
     10. Avoid making consent a precondition of a service.
     11. If you offer online services directly to children, only seek consent if you have age-verification measures (and parental-consent measures for younger children) in place.
  2. Recording consent :
     1. Keep a record of when and how you got consent from the individual.
     2. Keep a record of exactly what you told them at the time.
  3. Managing consent :
     1. Regularly review consents to check that the relationship, the processing and the purposes have not changed.
     2. Have processes in place to refresh consent at appropriate intervals, including any parental consent.
     3. Consider using privacy dashboards or other preference-management tools as a matter of good practice.
     4. Make it easy for individuals to withdraw their consent at any time, and publicise how to do so.
     5. Act on withdrawals of consent as soon as you can.
     6. Don’t penalise individuals who wish to withdraw consent.

     3 – Inform your visitor about it in a privacy notice

     Privacy notices are an important part within the GDPR process. Read our blog post dedicated to privacy notices to learn more.

     We really hope you enjoyed reading this blog post. Please have a look at our Matomo GDPR guide for more information.

  The post Lawful basis for processing personal data under GDPR with Matomo appeared first on Analytics Platform - Matomo.

• avformat/dhav : fix backward scanning for get_duration and optimize seeking

  21 mars, par Justin Ruggles

  avformat/dhav : fix backward scanning for get_duration and optimize seeking
  The backwards scanning done for incomplete final packets should not
  
  assume a specific alignment at the end of the file. Truncated files
  
  result in hundreds of thousands of seeks if the final packet does not
  
  fall on a specific byte boundary, which can be extremely slow.
  
  For example, with HTTP, each backwards seek results in a separate
  
  HTTP request.
  This changes the scanning to check for the end tag 1 byte at a time
  
  and buffers the last 1 MiB to avoid additional seek operations.
  Co-authored-by : Derek Buitenhuis <derek.buitenhuis@gmail.com>
  
  Signed-off-by : Justin Ruggles <justinr@vimeo.com>
  
  Signed-off-by : Derek Buitenhuis <derek.buitenhuis@gmail.com>
  

  • [DH] libavformat/dhav.c