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• What Is Data Misuse & How to Prevent It ? (With Examples)

  13 mai 2024, par Erin

  Your data is everywhere. Every time you sign up for an email list, log in to Facebook or download a free app onto your smartphone, your data is being taken.

  This can scare customers and users who fear their data will be misused.

  While data can be a powerful asset for your business, it’s important you manage it well, or you could be in over your head.

  In this guide, we break down what data misuse is, what the different types are, some examples of major data misuse and how you can prevent it so you can grow your brand sustainably.

  What is data misuse ?

  Data is a good thing.

  It helps analysts and marketers understand their customers better so they can serve them relevant information, products and services to improve their lives.

  But it can quickly become a bad thing for both the customers and business owners when it’s mishandled and misused.

  

  Data misuse is when a business uses data outside of the agreed-upon terms. When companies collect data, they need to legally communicate how that data is being used. 

  Who or what determines when data is being misused ?

  Several bodies :

  • User agreements
  • Data privacy laws
  • Corporate policies
  • Industry regulations

  There are certain laws and regulations around how you can collect and use data. Failure to comply with these guidelines and rules can result in several consequences, including legal action.

  Keep reading to discover the different types of data misuse and how to prevent it.

  3 types of data misuse

  There are a few different types of data misuse.

  If you fail to understand them, you could face penalties, legal trouble and a poor brand reputation.

  

  1. Commingling

  When you collect data, you need to ensure you’re using it for the right purpose. Commingling is when an organisation collects data from a specific audience for a specific reason but then uses the data for another purpose.

  One example of commingling is if a company shares sensitive customer data with another company. In many cases, sister companies will share data even if the terms of the data collection didn’t include that clause.

  Another example is if someone collects data for academic purposes like research but then uses the data later on for marketing purposes to drive business growth in a for-profit company.

  In either case, the company went wrong by not being clear on what the data would be used for. You must communicate with your audience exactly how the data will be used.

  2. Personal benefit

  The second common way data is misused in the workplace is through “personal benefit.” This is when someone with access to data abuses it for their own gain.

  The most common example of personal benefit data muse is when an employee misuses internal data.

  While this may sound like each instance of data misuse is caused by malicious intent, that’s not always the case. Data misuse can still exist even if an employee didn’t have any harmful intent behind their actions. 

  One of the most common examples is when an employee mistakenly moves data from a company device to personal devices for easier access.

  3. Ambiguity

  As mentioned above, when discussing commingling, a company must only use data how they say they will use it when they collect it.

  A company can misuse data when they’re unclear on how the data is used. Ambiguity is when a company fails to disclose how user data is being collected and used.

  This means communicating poorly on how the data will be used can be wrong and lead to misuse.

  One of the most common ways this happens is when a company doesn’t know how to use the data, so they can’t give a specific reason. However, this is still considered misuse, as companies need to disclose exactly how they will use the data they collect from their customers.

  Laws on data misuse you need to follow

  Data misuse can lead to poor reputations and penalties from big tech companies. For example, if you step outside social media platforms’ guidelines, you could be suspended, banned or shadowbanned.

  But what’s even more important is certain types of data misuse could mean you’re breaking laws worldwide. Here are some laws on data misuse you need to follow to avoid legal trouble :

  General Data Protection Regulation (GDPR)

  The GDPR, or General Data Protection Regulation, is a law within the European Union (EU) that went into effect in 2018.

  The GDPR was implemented to set a standard and improve data protection in Europe. It was also established to increase accountability and transparency for data breaches within businesses and organisations.

  The purpose of the GDPR is to protect residents within the European Union.

  The penalties for breaking GDPR laws are fines up to 20 million Euros or 4% of global revenues (whatever the higher amount is).

  The GDPR doesn’t just affect companies in Europe. You can break the GDPR’s laws regardless of where your organisation is located worldwide. As long as your company collects, processes or uses the personal data of any EU resident, you’re subject to the GDPR’s rules.

  If you want to track user data to grow your business, you need to ensure you’re following international data laws. Tools like Matomo—the world’s leading privacy-friendly web analytics solution—can help you achieve GDPR compliance and maintain it.

  With Matomo, you can confidently enhance your website’s performance, knowing that you’re adhering to data protection laws. 

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

  No credit card required

  California Consumer Privacy Act (CCPA)

  The California Consumer Privacy Act (CCPA) is another important data law companies worldwide must follow.

  Like GDPR, the CCPA is a data privacy law established to protect residents of a certain region — in this case, residents of California in the United States.

  The CCPA was implemented in 2020, and businesses worldwide can be penalised for breaking the regulations. For example, if you’re found violating the CCPA, you could be fined $7,500 for each intentional violation.

  If you have unintentional violations, you could still be fined, but at a lesser fee of $2,500.

  The Gramm-Leach-Bliley Act (GLBA)

  If your business is located within the United States, then you’re subject to a federal law implemented in 1999 called The Gramm-Leach-Bliley Act (GLB Act or GLBA).

  The GLBA is also known as the Financial Modernization Act of 1999. Its purpose is to control the way American financial institutions handle consumer data. 

  In the GLBA, there are three sections :

  1. The Financial Privacy Rule : regulates the collection and disclosure of private financial data.
  2. Safeguards Rule : Financial institutions must establish security programs to protect financial data.
  3. Pretexting Provisions : Prohibits accessing private data using false pretences.

  The GLBA also requires financial institutions in the U.S. to give their customers written privacy policy communications that explain their data-sharing practices.

  4 examples of data misuse in real life

  If you want to see what data misuse looks like in real life, look no further.

  Big tech is central to some of the biggest data misuses and scandals.

  

  Here are a few examples of data misuse in real life you should take note of to avoid a similar scenario :

  1. Facebook election interference

  One of history’s most famous examples of data misuse is the Facebook and Cambridge Analytica scandal in 2018.

  During the 2018 U.S. midterm elections, Cambridge Analytica, a political consulting firm, acquired personal data from Facebook users that was said to have been collected for academic research.

  Instead, Cambridge Analytica used data from roughly 87 million Facebook users. 

  This is a prime example of commingling.

  The result ? Cambridge Analytica was left bankrupt and dissolved, and Facebook was fined $5 billion by the Federal Trade Commission (FTC).

  2. Uber “God View” tracking

  Another big tech company, Uber, was caught misusing data a decade ago. 

  Why ?

  Uber implemented a new feature for its employees in 2014 called “God View.”

  The tool enabled Uber employees to track riders using their app. The problem was that they were watching them without the users’ permission. “God View” lets Uber spy on their riders to see their movements and locations.

  The FTC ended up slapping them with a major lawsuit, and as part of their settlement agreement, Uber agreed to have an outside firm audit their privacy practices between 2014 and 2034.

  

  3. Twitter targeted ads overstep

  In 2019, Twitter was found guilty of allowing advertisers to access its users’ personal data to improve advertisement targeting.

  Advertisers were given access to user email addresses and phone numbers without explicit permission from the users. The result was that Twitter ad buyers could use this contact information to cross-reference with Twitter’s data to serve ads to them.

  Twitter stated that the data leak was an internal error. 

  4. Google location tracking

  In 2020, Google was found guilty of not explicitly disclosing how it’s using its users’ personal data, which is an example of ambiguity.

  The result ?

  The French data protection authority fined Google $57 million.

  8 ways to prevent data misuse in your company

  Now that you know the dangers of data misuse and its associated penalties, it’s time to understand how you can prevent it in your company.

  

  Here are eight ways you can prevent data misuse :

  1. Track data with an ethical web analytics solution

  You can’t get by in today’s business world without tracking data. The question is whether you’re tracking it safely or not.

  If you want to ensure you aren’t getting into legal trouble with data misuse, then you need to use an ethical web analytics solution like Matomo.

  With it, you can track and improve your website performance while remaining GDPR-compliant and respecting user privacy. Unlike other web analytics solutions that monetise your data and auction it off to advertisers, with Matomo, you own your data.

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

  No credit card required

  2. Don’t share data with big tech

  As the data misuse examples above show, big tech companies often violate data privacy laws.

  And while most of these companies, like Google, appear to be convenient, they’re often inconvenient (and much worse), especially regarding data leaks, privacy breaches and the sale of your data to advertisers.

  Have you ever heard the phrase : “You are the product ?” When it comes to big tech, chances are if you’re getting it for free, you (and your data) are the products they’re selling.

  The best way to stop sharing data with big tech is to stop using platforms like Google. For more ideas on different Google product alternatives, check out this list of Google alternatives.

  3. Identity verification 

  Data misuse typically isn’t a company-wide ploy. Often, it’s the lack of security structure and systems within your company. 

  An important place to start is to ensure proper identity verification for anyone with access to your data.

  4. Access management

  After establishing identity verification, you should ensure you have proper access management set up. For example, you should only give specific access to specific roles in your company to prevent data misuse.

  5. Activity logs and monitoring

  One way to track data misuse or breaches is by setting up activity logs to ensure you can see who is accessing certain types of data and when they’re accessing it.

  You should ensure you have a team dedicated to continuously monitoring these logs to catch anything quickly.

  6. Behaviour alerts 

  While manually monitoring data is important, it’s also good to set up automatic alerts if there is unusual activity around your data centres. You should set up behaviour alerts and notifications in case threats or compromising events occur.

  7. Onboarding, training, education

  One way to ensure quality data management is to keep your employees up to speed on data security. You should ensure data security is a part of your employee onboarding. Also, you should have regular training and education to keep people informed on protecting company and customer data.

  8. Create data protocols and processes 

  To ensure long-term data security, you should establish data protocols and processes. 

  To protect your user data, set up rules and systems within your organisation that people can reference and follow continuously to prevent data misuse.

  Leverage data ethically with Matomo

  Data is everything in business.

  But it’s not something to be taken lightly. Mishandling user data can break customer trust, lead to penalties from organisations and even create legal trouble and massive fines.

  You should only use privacy-first tools to ensure you’re handling data responsibly.

  Matomo is a privacy-friendly web analytics tool that collects, stores and tracks data across your website without breaking privacy laws.

  With over 1 million websites using Matomo, you can track and improve website performance with :

  • Accurate data (no data sampling)
  • Privacy-friendly and compliant with privacy regulations like GDPR, CCPA and more
  • Advanced features like heatmaps, session recordings, A/B testing and more

  Try Matomo free for 21-days. No credit card required.

  Try Matomo for Free

  21 day free trial. No credit card required.

  
  

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• CRO Testing : The 6-Steps for Maximising Conversion Rates

  10 mars 2024, par Erin

  It’s a nightmare every marketing manager faces. Traffic is soaring after you’ve launched new digital marketing campaigns, but conversions have barely moved.

  Sound familiar ?

  The good news is you’re not alone — loads of marketing managers struggle to get potential customers to purchase. The better news is that you can test dozens of strategies to turn around your site’s fortunes. 

  Conversion rate optimisation testing (CRO testing for short) is the name for this kind of experimentation — and it can send conversion rates and revenue soaring.

  In this article, we’ll explain CRO testing and how you can start doing it today using Matomo. 

  What is CRO Testing ? 

  CRO testing is optimising your site’s conversion funnel using a series of experiments designed to improve conversion rates.

  A CRO test can take several forms, but it usually involves changing one or more elements of your landing page. It looks something like this :

  1. You hypothesise what you expect to happen.
  2. You then run an A/B test using a dedicated CRO platform or tool.
  3. This tool will divide your site’s traffic, sending one segment to one variation and the other segment to another.
  4. The CRO tool will measure conversions, track statistical significance, and declare one variation the winner. 

  A CRO tool isn’t the only software you can use to gather data when running tests. There are several other valuable data sources, including :

  • A web analytics platform : to identify issues with your website
  • User surveys : to find out what your target audience thinks about your site
  • Heatmaps : to learn where users focus their attention
  • Session recordings : to discover how visitors browse your site

  Use as many of these features, tools, and methods as you can when brainstorming hypotheses and measuring results. After all, your CRO test is only as good as your data.

  On that note, we need to mention the importance of data accuracy when researching issues with your website and running CRO tests. If you trust a platform like Google Analytics that uses data sampling (where only a subset of data is analysed), then there’s a risk you make business decisions based on inaccurate reports.

  In practice, that could see you overestimate the effectiveness of a landing page, potentially wasting thousands in ad spend on poorly converting pages. 

  That’s why over a million websites rely on Matomo as their web analytics solution—it doesn’t sample data, providing 100% accurate website traffic insights you can trust to make informed decisions.

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

  No credit card required

  Types of CRO Testing 

  There are three core types of CRO tests :

  A/B testing

  A/B testing, or split testing, is when you test two versions of the same page against each other. Usually, the two pages have only one difference, such as a new headline or a different CTA. 

  

  In the test above, for example, we test what happens if we remove one of the affiliate links from a page. We hypothesise that conversions won’t change because these links aren’t effective.

  A/B/n testing

  A/B/n testing is when you test multiple variations of the same element on the same page. 

  Rather than just testing one headline against another, for example, you test multiple different headlines at once.

  

  In the test above in Matomo, we’re testing a website’s original header against a wider and smaller version. It turns out the wider header converts significantly better. 

  Multivariate testing

  In a multivariate CRO test, you test multiple different elements at the same time. That could mean testing combining a different headline, CTA button, and image. 

  Multivariate testing can save time because you test multiple elements at once and find the best combination of elements. But you’ll usually need a lot of traffic to find a statistically significant result.

  Why is CRO testing important ?

  Who doesn’t want more conversions, right ? Improving your conversion rate is the core benefit of running a CRO test, but there are a couple of other reasons you should do it, too :

  

  Improve conversion rates

  How well does your website convert visitors ? The average conversion rate of a typical website is 2.35%, but better-performing websites have significantly higher conversion rates. The top 25% of websites across all industries convert at a rate of 5.31% or higher.

  CRO testing is the best way to improve your site’s conversion rate by tweaking elements of your website and implementing the best results. And because it’s based on data, not your intuition, you’re likely to identify changes that move the needle. 

  Optimise the user experience

  CRO tests are also a great way to improve your site’s user experience. The process of CRO testing forces you to understand how users navigate your website using heatmaps and session recordings and fix the issues they face. 

  You could simplify your form fields to make them easier to fill in, for example, or make your pages easier to navigate. In both cases, your actions will also increase conversion rates.

  Decrease acquisition costs

  Improving your conversion rate using CRO testing will usually mean a decrease in customer acquisition costs and other conversion metrics. 

  After all, if the cost of your PPC ads stays the same but you convert more traffic, then each new customer will cost less to acquire.

  How to do CRO testing in 6 steps 

  Ready to get your hands dirty ? Follow these six steps to set up your first CRO test :

  Have a clear goal

  Don’t jump straight into testing. You need to be clear about what you want to achieve ; otherwise, you risk wasting time on irrelevant experiments. 

  If you’re unsure what to focus on, look back through your web analytics data and other tools like heatmaps, form analytics, and session recordings to get a feel for some of your site’s biggest conversion roadblocks. 

  Maybe there’s a page with a much lower conversion rate, for example — or a form that most users fail to complete. 

  If it’s the former, then your goal could be to increase the conversion rate of this specific landing page by 25%, bringing it in line with your site’s average. 

  

  Make sure your new conversion goal is set up properly in your website analytics platform, too. This will ensure you’re tracking conversions accurately. 

  Set a hypothesis

  Now you’ve got a goal, it’s time to create a hypothesis. Based on your available research, a hypothesis is an assumption you make about your conversion rate optimisation test.

  A heatmap of your poorly converting landing page may show that users aren’t focusing on your CTA button because it’s hidden below the fold. 

  You could hypothesise that by placing the CTA button directly under your headline above the fold, your conversion rate should increase. 

  Whatever your goal, you can use the following template to write a hypothesis :

  If we [make this specific change], then [this specific outcome] will occur because [reason].

  Design your test elements

  Most marketing managers won’t be able to run CRO tests independently. A team of talented experts must create the assets you need for a successful experimentation. This includes designers, copywriters, and web developers. 

  Don’t just have them create one new element at a time. Accelerate the process by having your team create dozens of designs simultaneously. That way, you can run a new CRO test as soon as your current test has finished. 

  Create and launch the test

  It’s time to launch your test. Use a CRO tool to automate building your test and tracking results. 

  With Matomo’s A/B Testing feature, it’s as easy as giving your test a name, writing a hypothesis and description, and uploading the URLs of your page variants.

  

  Matomo handles everything else, giving you a detailed breakdown at the end of the test with the winning variant. 

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

  No credit card required

  Analyse the results

  You can only review the results of your CRO test once it has reached statistical significance — which means the observed outcome isn’t the result of chance.

  In the same way you wouldn’t say a die is unbiased after three rolls, you need thousands of visitors to see your landing pages and take action before deciding which is better. 

  Luckily, most CRO testing platforms, including Matomo, will highlight when a test reaches statistical significance. That means you only need to look at the result to see if your hypothesis is correct. 

  Implement and repeat

  Was your test a success ? Great, you can implement the results and test a new element. 

  Yep, that’s right. There’s no time to rest on your laurels. Continuous CRO testing is necessary to squeeze every conversion possible from your website. Just like fashion trends, website effectiveness changes over time. What works today might not work tomorrow, making ongoing CRO testing beneficial and necessary.

  That’s why it’s a good idea to choose a CRO testing platform like Matomo with no data limits.

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

  No credit card required

  CRO testing examples you can run today 

  There’s no shortage of CRO tests you can run. Here are some experiments to get started with :

  Change your CTA design and copy

  Calls to action (CTAs) are the best elements to optimise during your first CRO test. You can change many things about them ; even the smallest optimisation can have a huge impact. 

  Just take a look at the image below to see how diverse your CTAs could be :

  

  Changing your CTA’s copy is a great place to start, especially if you have generic instructions like “Apply Now.”

  Try a more specific instruction like “Download your free trial” or “Buy now to get 30% off.” Or test benefit-led instructions like “Reduce your ad spend today” or “Take back control of your data.”

  Changing the colour of your CTAs can also yield more conversions. Bright colours are always a good bet. Just make sure your button stands out from the rest of your page. 

  Move the CTA button placement

  The placement of your CTA can be just as important as its copy or colour. If it’s down at the bottom of your page, there’s a good chance most of your visitors will miss it. 

  Try moving it above the fold to see if that makes a difference. Then, test multiple CTA buttons as opposed to just one. 

  Heatmaps and session recordings can identify whether this test is worthwhile. If users rarely focus on your CTA or just don’t scroll far enough to find it, then it’s a good bet you could see an uptick in conversions by moving it. 

  Try different headlines

  Your website’s headlines are another great place to start CRO testing. These are usually the first (and sometimes only) things visitors read, so optimising them as much as possible makes sense. 

  There are entire books written about creating persuasive headlines, but start with one of the following tactics :

  • Include a benefit
    • “Achieve radiant skin—discover the secret !”
  • Add numbers
    • “3 foolproof methods for saving money on your next vacation”
  • Using negative words instead of positive ones
    • “Avoid these 7 mistakes to unlock your potential for personal growth”
  • Shortening or lengthening your headline
    • Shortened : “Crush your fitness goals : Expert tips for success”
    • Lengthened : “Embark on your fitness journey : Learn from experts with proven tips to crush your wellness goals”

  Add more trust signals

  Adding trust signals to your website, such as brand logos, customer reviews, and security badges, can increase your conversion rate.

  We use it at Matomo by adding the logos of well-known clients like the United Nations and Amnesty International underneath our CTAs.

  

  It’s incredibly effective, too. Research by Edelman finds that trust is among the top three most important buying decision factors, above brand likeability.

  Start CRO testing with Matomo

  CRO testing is a data-backed method to improve your site’s conversion rate, making it more user-friendly and decreasing customer acquisition costs. Even a small improvement will be worth the cost of the tools and your time. 

  Fortunately, there’s no need to allocate hundreds of dollars monthly for multiple specialised testing tools. With Matomo, you get a comprehensive platform offering web analytics, user behaviour insights, and CRO testing – all conveniently bundled into one solution. Matomo’s pricing starts from just $19 per month, making it accessible to businesses of all sizes.

  Plus, rest assured knowing that you are GDPR compliant and the data provided is 100% accurate, ethically empowering you to make informed decisions with confidence.

  Take the first step on your CRO testing journey by trying Matomo free for 21 days ; no credit card required.

  Try Matomo for Free

  21 day free trial. No credit card required.

  
  

  Your email address
  

  Your website address
  

  Your Analytics subdomain will be .matomo.cloud (change)

  Choose your analytics subdomain
  

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  I accept the terms and conditions and data processing agreement (DPA)

  
  Your information will be used to create an account on our cloud service. For more information please consult our privacy policy.
  
  
  

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• ffmpeg seek calculating wrong byte range ?

  17 décembre 2015, par user4455

  I’m running into an issue while trying to extract thumbnails from a movie file at a specific timestamp. Generally I’ve had no issues with this, but I’ve come across a set of movie files that are getting an error about the byte range requested (416 Requested Range Not Satisfiable).

  The odd thing is that the server is correctly returning the content length in the partial content request, yet when it requests the movie file it requests a length that exceeds that.

  This is a bit over my head, so I’m not sure what could be happening here. Any insight would be great.

  The Command :

  /usr/bin/ffmpeg -y -ss 1400 -i 'https://s3-us-west-2.amazonaws.com/my-bucket/mymoviefile.mp4' -qscale:v 2 -f image2 -vframes 1 -filter:v 'scale=192:108' -loglevel debug /data/www/storage/test.jpg 2>&1

  The Error :

  [https @ 0x22e1e00] header='HTTP/1.1 416 Requested Range Not Satisfiable'
  
  [https @ 0x22e1e00] http_code=416
  
  [https @ 0x22e1e00] HTTP error 416 Requested Range Not Satisfiable

  Source File Size :

  1776706045 bytes

  Source Content Duration :

  2897.624271

  Partial Content Request :

  [https @ 0x22e1e00] header='HTTP/1.1 206 Partial Content'
  
  [https @ 0x22e1e00] http_code=206
  
  [https @ 0x22e1e00] header='x-amz-id-2: 4J1pgHExIUA0GxIxSBmGJjrRqliHbsIjXeuGzVfTlaaoVXbyZI5FQNma8fGaifcovkXfxJev5yU='
  
  [https @ 0x22e1e00] header='x-amz-request-id: 78B3BDBB0356EF40'
  
  [https @ 0x22e1e00] header='Date: Wed, 16 Dec 2015 23:51:29 GMT'
  
  [https @ 0x22e1e00] header='x-amz-meta-content-length: 2898'
  
  [https @ 0x22e1e00] header='x-amz-meta-cb-modifiedtime: Tue, 15 Dec 2015 17:59:51 GMT'
  
  [https @ 0x22e1e00] header='Last-Modified: Wed, 16 Dec 2015 23:44:59 GMT'
  
  [https @ 0x22e1e00] header='ETag: "6341a8022630667a8070a83575e542e7-27"'
  
  [https @ 0x22e1e00] header='Accept-Ranges: bytes'
  
  [https @ 0x22e1e00] header='Content-Range: bytes 0-1776706044/1776706045'
  
  [https @ 0x22e1e00] header='Content-Type: video/mp4'
  
  [https @ 0x22e1e00] header='Content-Length: 1776706045'
  
  [https @ 0x22e1e00] header='Server: AmazonS3'
  
  [https @ 0x22e1e00] header='Connection: close'

  FFmpeg Request :

  request: GET /my-bucket/mymoviefile.mp4 HTTP/1.1
  
  User-Agent: Lavf/56.25.101
  
  Accept: */*
  
  Range: bytes=1781732960-
  
  Connection: close
  
  Host: s3-us-west-2.amazonaws.com
  
  Icy-MetaData: 1

  Entire Log :

  # /usr/bin/ffmpeg -y -ss 1400 -i 'https://s3-us-west-2.amazonaws.com/my-bucket/mymoviefile.mp4' -qscale:v 2 -f image2 -vframes 1 -filter:v 'scale=192:108' -loglevel debug /data/www/storage/test.jpg 2>&1
  
  ffmpeg version 2.6.4 Copyright (c) 2000-2015 the FFmpeg developers
  
    built with gcc 4.9.2 (Debian 4.9.2-10)
  
    configuration: --prefix=/usr --extra-cflags='-g -O2 -fstack-protector-strong -Wformat -Werror=format-security ' --extra-ldflags='-Wl,-z,relro' --cc='ccache cc' --enable-shared --enable-libmp3lame --enable-gpl --enable-nonfree --enable-libvorbis --enable-pthreads --enable-libfaac --enable-libxvid --enable-postproc --enable-x11grab --enable-libgsm --enable-libtheora --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libx264 --enable-libspeex --enable-nonfree --disable-stripping --enable-libvpx --enable-libschroedinger --disable-encoder=libschroedinger --enable-version3 --enable-libopenjpeg --enable-librtmp --enable-avfilter --enable-libfreetype --enable-libvo-aacenc --disable-decoder=amrnb --enable-libvo-amrwbenc --enable-libaacplus --libdir=/usr/lib/x86_64-linux-gnu --disable-vda --enable-libbluray --enable-libcdio --enable-gnutls --enable-frei0r --enable-openssl --enable-libass --enable-libopus --enable-fontconfig --enable-libpulse --disable-mips32r2 --disable-mipsdspr1 --disable-mipsdspr2 --enable-libvidstab --enable-libzvbi --enable-avresample --disable-htmlpages --disable-podpages --enable-libutvideo --enable-libfdk-aac --enable-libx265 --enable-libiec61883 --enable-vaapi --enable-libdc1394 --disable-altivec --shlibdir=/usr/lib/x86_64-linux-gnu
  
    libavutil      54. 20.100 / 54. 20.100
  
    libavcodec     56. 26.100 / 56. 26.100
  
    libavformat    56. 25.101 / 56. 25.101
  
    libavdevice    56.  4.100 / 56.  4.100
  
    libavfilter     5. 11.102 /  5. 11.102
  
    libavresample   2.  1.  0 /  2.  1.  0
  
    libswscale      3.  1.101 /  3.  1.101
  
    libswresample   1.  1.100 /  1.  1.100
  
    libpostproc    53.  3.100 / 53.  3.100
  
  Splitting the commandline.
  
  Reading option '-y' ... matched as option 'y' (overwrite output files) with argument '1'.
  
  Reading option '-ss' ... matched as option 'ss' (set the start time offset) with argument '1400'.
  
  Reading option '-i' ... matched as input file with argument 'https://s3-us-west-2.amazonaws.com/my-bucket/mymoviefile.mp4'.
  
  Reading option '-qscale:v' ... matched as option 'qscale' (use fixed quality scale (VBR)) with argument '2'.
  
  Reading option '-f' ... matched as option 'f' (force format) with argument 'image2'.
  
  Reading option '-vframes' ... matched as option 'vframes' (set the number of video frames to output) with argument '1'.
  
  Reading option '-filter:v' ... matched as option 'filter' (set stream filtergraph) with argument 'scale=192:108'.
  
  Reading option '-loglevel' ... matched as option 'loglevel' (set logging level) with argument 'debug'.
  
  Reading option '/data/www/storage/test.jpg' ... matched as output file.
  
  Finished splitting the commandline.
  
  Parsing a group of options: global .
  
  Applying option y (overwrite output files) with argument 1.
  
  Applying option loglevel (set logging level) with argument debug.
  
  Successfully parsed a group of options.
  
  Parsing a group of options: input file https://s3-us-west-2.amazonaws.com/my-bucket/mymoviefile.mp4.
  
  Applying option ss (set the start time offset) with argument 1400.
  
  Successfully parsed a group of options.
  
  Opening an input file: https://s3-us-west-2.amazonaws.com/my-bucket/mymoviefile.mp4.
  
  [https @ 0x22e1e00] request: GET /my-bucket/mymoviefile.mp4 HTTP/1.1
  
  User-Agent: Lavf/56.25.101
  
  Accept: */*
  
  Range: bytes=0-
  
  Connection: close
  
  Host: s3-us-west-2.amazonaws.com
  
  Icy-MetaData: 1
  
  
  
  
  
  [https @ 0x22e1e00] header='HTTP/1.1 206 Partial Content'
  
  [https @ 0x22e1e00] http_code=206
  
  [https @ 0x22e1e00] header='x-amz-id-2: 4J1pgHExIUA0GxIxSBmGJjrRqliHbsIjXeuGzVfTlaaoVXbyZI5FQNma8fGaifcovkXfxJev5yU='
  
  [https @ 0x22e1e00] header='x-amz-request-id: 78B3BDBB0356EF40'
  
  [https @ 0x22e1e00] header='Date: Wed, 16 Dec 2015 23:51:29 GMT'
  
  [https @ 0x22e1e00] header='x-amz-meta-content-length: 2898'
  
  [https @ 0x22e1e00] header='x-amz-meta-cb-modifiedtime: Tue, 15 Dec 2015 17:59:51 GMT'
  
  [https @ 0x22e1e00] header='Last-Modified: Wed, 16 Dec 2015 23:44:59 GMT'
  
  [https @ 0x22e1e00] header='ETag: "6341a8022630667a8070a83575e542e7-27"'
  
  [https @ 0x22e1e00] header='Accept-Ranges: bytes'
  
  [https @ 0x22e1e00] header='Content-Range: bytes 0-1776706044/1776706045'
  
  [https @ 0x22e1e00] header='Content-Type: video/mp4'
  
  [https @ 0x22e1e00] header='Content-Length: 1776706045'
  
  [https @ 0x22e1e00] header='Server: AmazonS3'
  
  [https @ 0x22e1e00] header='Connection: close'
  
  [https @ 0x22e1e00] header=''
  
  [mov,mp4,m4a,3gp,3g2,mj2 @ 0x22e1740] Format mov,mp4,m4a,3gp,3g2,mj2 probed with size=2048 and score=100
  
  [mov,mp4,m4a,3gp,3g2,mj2 @ 0x22e1740] ISO: File Type Major Brand: mp42
  
  [mov,mp4,m4a,3gp,3g2,mj2 @ 0x22e1740] Before avformat_find_stream_info() pos: 1647960 bytes read:1652200 seeks:0
  
  [h264 @ 0x22e92c0] no picture
  
  [mov,mp4,m4a,3gp,3g2,mj2 @ 0x22e1740] All info found
  
  [mov,mp4,m4a,3gp,3g2,mj2 @ 0x22e1740] After avformat_find_stream_info() pos: 1862326 bytes read:1878504 seeks:0 frames:16
  
  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'https://s3-us-west-2.amazonaws.com/my-bucket/mymoviefile.mp4':
  
    Metadata:
  
      major_brand     : mp42
  
      minor_version   : 1
  
      compatible_brands: isommp41avc1
  
      creation_time   : 2015-11-18 02:34:41
  
    Duration: 00:48:17.70, start: 0.000000, bitrate: 4905 kb/s
  
      Stream #0:0(und), 15, 1/2997: Video: h264 (High) (avc1 / 0x31637661), yuv420p(tv, left), 1920x1080 (1920x1088) [SAR 1:1 DAR 16:9], 1001/60000, 9994 kb/s, 29.97 fps, 29.97 tbr, 2997 tbn, 59.94 tbc (default)
  
      Metadata:
  
        creation_time   : 2015-11-18 02:34:41
  
        handler_name    : ?Apple Video Media Handler
  
      Stream #0:1(und), 1, 1/48000: Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 192 kb/s (default)
  
      Metadata:
  
        creation_time   : 2015-11-18 02:34:41
  
        handler_name    : ?Apple Sound Media Handler
  
  Successfully opened the file.
  
  Parsing a group of options: output file /data/www/storage/test.jpg.
  
  Applying option qscale:v (use fixed quality scale (VBR)) with argument 2.
  
  Applying option f (force format) with argument image2.
  
  Applying option vframes (set the number of video frames to output) with argument 1.
  
  Applying option filter:v (set stream filtergraph) with argument scale=192:108.
  
  Successfully parsed a group of options.
  
  Opening an output file: /data/www/storage/test.jpg.
  
  Successfully opened the file.
  
  detected 2 logical cores
  
  [Parsed_scale_0 @ 0x22cd4c0] Setting 'w' to value '192'
  
  [Parsed_scale_0 @ 0x22cd4c0] Setting 'h' to value '108'
  
  [Parsed_scale_0 @ 0x22cd4c0] Setting 'flags' to value '0x4'
  
  [Parsed_scale_0 @ 0x22cd4c0] w:192 h:108 flags:'0x4' interl:0
  
  [graph 0 input from stream 0:0 @ 0x22ccfe0] Setting 'video_size' to value '1920x1080'
  
  [graph 0 input from stream 0:0 @ 0x22ccfe0] Setting 'pix_fmt' to value '0'
  
  [graph 0 input from stream 0:0 @ 0x22ccfe0] Setting 'time_base' to value '1/2997'
  
  [graph 0 input from stream 0:0 @ 0x22ccfe0] Setting 'pixel_aspect' to value '1/1'
  
  [graph 0 input from stream 0:0 @ 0x22ccfe0] Setting 'sws_param' to value 'flags=2'
  
  [graph 0 input from stream 0:0 @ 0x22ccfe0] Setting 'frame_rate' to value '2997/100'
  
  [graph 0 input from stream 0:0 @ 0x22ccfe0] w:1920 h:1080 pixfmt:yuv420p tb:1/2997 fr:2997/100 sar:1/1 sws_param:flags=2
  
  [format @ 0x2798640] compat: called with args=[yuvj420p|yuvj422p|yuvj444p]
  
  [format @ 0x2798640] Setting 'pix_fmts' to value 'yuvj420p|yuvj422p|yuvj444p'
  
  [AVFilterGraph @ 0x22cda60] query_formats: 5 queried, 4 merged, 0 already done, 0 delayed
  
  [Parsed_scale_0 @ 0x22cd4c0] picking yuvj420p out of 3 ref:yuv420p alpha:0
  
  [swscaler @ 0x22c3c80] deprecated pixel format used, make sure you did set range correctly
  
  [Parsed_scale_0 @ 0x22cd4c0] w:1920 h:1080 fmt:yuv420p sar:1/1 -> w:192 h:108 fmt:yuvj420p sar:1/1 flags:0x4
  
  [mjpeg @ 0x2854e20] intra_quant_bias = 96 inter_quant_bias = 0
  
  [mjpeg @ 0x28716c0] intra_quant_bias = 96 inter_quant_bias = 0
  
  [mjpeg @ 0x2795320] intra_quant_bias = 96 inter_quant_bias = 0
  
  Output #0, image2, to '/data/www/storage/test.jpg':
  
    Metadata:
  
      major_brand     : mp42
  
      minor_version   : 1
  
      compatible_brands: isommp41avc1
  
      encoder         : Lavf56.25.101
  
      Stream #0:0(und), 0, 100/2997: Video: mjpeg, yuvj420p(pc, left), 192x108 [SAR 1:1 DAR 16:9], 100/2997, q=2-31, 200 kb/s, 29.97 fps, 29.97 tbn, 29.97 tbc (default)
  
      Metadata:
  
        creation_time   : 2015-11-18 02:34:41
  
        handler_name    : ?Apple Video Media Handler
  
        encoder         : Lavc56.26.100 mjpeg
  
  Stream mapping:
  
    Stream #0:0 -> #0:0 (h264 (native) -> mjpeg (native))
  
  Press [q] to stop, [?] for help
  
  [https @ 0x22e1e00] request: GET /my-bucket/mymoviefile.mp4 HTTP/1.1
  
  User-Agent: Lavf/56.25.101
  
  Accept: */*
  
  Range: bytes=1781732960-
  
  Connection: close
  
  Host: s3-us-west-2.amazonaws.com
  
  Icy-MetaData: 1
  
  
  
  
  
  [https @ 0x22e1e00] header='HTTP/1.1 416 Requested Range Not Satisfiable'
  
  [https @ 0x22e1e00] http_code=416
  
  [https @ 0x22e1e00] HTTP error 416 Requested Range Not Satisfiable
  
  [mov,mp4,m4a,3gp,3g2,mj2 @ 0x22e1740] stream 0, offset 0x6a331660: partial file
  
  https://s3-us-west-2.amazonaws.com/my-bucket/mymoviefile.mp4: Invalid data found when processing input
  
  [output stream 0:0 @ 0x22d7500] EOF on sink link output stream 0:0:default.
  
  No more output streams to write to, finishing.
  
  frame=    0 fps=0.0 q=0.0 Lsize=N/A time=00:00:00.00 bitrate=N/A
  
  video:0kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
  
  Input file #0 (https://s3-us-west-2.amazonaws.com/my-bucket/mymoviefile.mp4):
  
    Input stream #0:0 (video): 0 packets read (0 bytes); 0 frames decoded;
  
    Input stream #0:1 (audio): 0 packets read (0 bytes);
  
    Total: 0 packets (0 bytes) demuxed
  
  Output file #0 (/data/www/storage/test.jpg):
  
    Output stream #0:0 (video): 0 frames encoded; 0 packets muxed (0 bytes);
  
    Total: 0 packets (0 bytes) muxed
  
  Output file is empty, nothing was encoded (check -ss / -t / -frames parameters if used)
  
  0 frames successfully decoded, 0 decoding errors
  
  [AVIOContext @ 0x27ab100] Statistics: 1878504 bytes read, 0 seeks

  FFprobe Result :

  # /usr/bin/ffprobe -show_format -show_streams -i 'https://s3-us-west-2.amazonaws.com/my-bucket/mymoviefile.mp4'
  
  ffprobe version 2.6.4 Copyright (c) 2007-2015 the FFmpeg developers
  
    built with gcc 4.9.2 (Debian 4.9.2-10)
  
    configuration: --prefix=/usr --extra-cflags='-g -O2 -fstack-protector-strong -Wformat -Werror=format-security ' --extra-ldflags='-Wl,-z,relro' --cc='ccache cc' --enable-shared --enable-libmp3lame --enable-gpl --enable-nonfree --enable-libvorbis --enable-pthreads --enable-libfaac --enable-libxvid --enable-postproc --enable-x11grab --enable-libgsm --enable-libtheora --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libx264 --enable-libspeex --enable-nonfree --disable-stripping --enable-libvpx --enable-libschroedinger --disable-encoder=libschroedinger --enable-version3 --enable-libopenjpeg --enable-librtmp --enable-avfilter --enable-libfreetype --enable-libvo-aacenc --disable-decoder=amrnb --enable-libvo-amrwbenc --enable-libaacplus --libdir=/usr/lib/x86_64-linux-gnu --disable-vda --enable-libbluray --enable-libcdio --enable-gnutls --enable-frei0r --enable-openssl --enable-libass --enable-libopus --enable-fontconfig --enable-libpulse --disable-mips32r2 --disable-mipsdspr1 --disable-mipsdspr2 --enable-libvidstab --enable-libzvbi --enable-avresample --disable-htmlpages --disable-podpages --enable-libutvideo --enable-libfdk-aac --enable-libx265 --enable-libiec61883 --enable-vaapi --enable-libdc1394 --disable-altivec --shlibdir=/usr/lib/x86_64-linux-gnu
  
    libavutil      54. 20.100 / 54. 20.100
  
    libavcodec     56. 26.100 / 56. 26.100
  
    libavformat    56. 25.101 / 56. 25.101
  
    libavdevice    56.  4.100 / 56.  4.100
  
    libavfilter     5. 11.102 /  5. 11.102
  
    libavresample   2.  1.  0 /  2.  1.  0
  
    libswscale      3.  1.101 /  3.  1.101
  
    libswresample   1.  1.100 /  1.  1.100
  
    libpostproc    53.  3.100 / 53.  3.100
  
  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'https://s3-us-west-2.amazonaws.com/my-bucket/mymoviefile.mp4':
  
    Metadata:
  
      major_brand     : mp42
  
      minor_version   : 1
  
      compatible_brands: isommp41avc1
  
      creation_time   : 2015-11-18 02:34:41
  
    Duration: 00:48:17.70, start: 0.000000, bitrate: 4905 kb/s
  
      Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(tv), 1920x1080 [SAR 1:1 DAR 16:9], 9994 kb/s, 29.97 fps, 29.97 tbr, 2997 tbn, 59.94 tbc (default)
  
      Metadata:
  
        creation_time   : 2015-11-18 02:34:41
  
        handler_name    : ?Apple Video Media Handler
  
      Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 192 kb/s (default)
  
      Metadata:
  
        creation_time   : 2015-11-18 02:34:41
  
        handler_name    : ?Apple Sound Media Handler
  
  [STREAM]
  
  index=0
  
  codec_name=h264
  
  codec_long_name=H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10
  
  profile=High
  
  codec_type=video
  
  codec_time_base=1001/60000
  
  codec_tag_string=avc1
  
  codec_tag=0x31637661
  
  width=1920
  
  height=1080
  
  has_b_frames=1
  
  sample_aspect_ratio=1:1
  
  display_aspect_ratio=16:9
  
  pix_fmt=yuv420p
  
  level=40
  
  color_range=tv
  
  color_space=unknown
  
  color_transfer=unknown
  
  color_primaries=unknown
  
  chroma_location=left
  
  timecode=N/A
  
  refs=3
  
  is_avc=1
  
  nal_length_size=4
  
  id=N/A
  
  r_frame_rate=2997/100
  
  avg_frame_rate=2997/100
  
  time_base=1/2997
  
  start_pts=0
  
  start_time=0.000000
  
  duration_ts=8684300
  
  duration=2897.664331
  
  bit_rate=9994429
  
  max_bit_rate=N/A
  
  bits_per_raw_sample=8
  
  nb_frames=86843
  
  nb_read_frames=N/A
  
  nb_read_packets=N/A
  
  DISPOSITION:default=1
  
  DISPOSITION:dub=0
  
  DISPOSITION:original=0
  
  DISPOSITION:comment=0
  
  DISPOSITION:lyrics=0
  
  DISPOSITION:karaoke=0
  
  DISPOSITION:forced=0
  
  DISPOSITION:hearing_impaired=0
  
  DISPOSITION:visual_impaired=0
  
  DISPOSITION:clean_effects=0
  
  DISPOSITION:attached_pic=0
  
  TAG:creation_time=2015-11-18 02:34:41
  
  TAG:language=und
  
  TAG:handler_name=Apple Video Media Handler
  
  [/STREAM]
  
  [STREAM]
  
  index=1
  
  codec_name=aac
  
  codec_long_name=AAC (Advanced Audio Coding)
  
  profile=LC
  
  codec_type=audio
  
  codec_time_base=1/48000
  
  codec_tag_string=mp4a
  
  codec_tag=0x6134706d
  
  sample_fmt=fltp
  
  sample_rate=48000
  
  channels=2
  
  channel_layout=stereo
  
  bits_per_sample=0
  
  id=N/A
  
  r_frame_rate=0/0
  
  avg_frame_rate=0/0
  
  time_base=1/48000
  
  start_pts=0
  
  start_time=0.000000
  
  duration_ts=139085965
  
  duration=2897.624271
  
  bit_rate=192002
  
  max_bit_rate=N/A
  
  bits_per_raw_sample=N/A
  
  nb_frames=135828
  
  nb_read_frames=N/A
  
  nb_read_packets=N/A
  
  DISPOSITION:default=1
  
  DISPOSITION:dub=0
  
  DISPOSITION:original=0
  
  DISPOSITION:comment=0
  
  DISPOSITION:lyrics=0
  
  DISPOSITION:karaoke=0
  
  DISPOSITION:forced=0
  
  DISPOSITION:hearing_impaired=0
  
  DISPOSITION:visual_impaired=0
  
  DISPOSITION:clean_effects=0
  
  DISPOSITION:attached_pic=0
  
  TAG:creation_time=2015-11-18 02:34:41
  
  TAG:language=und
  
  TAG:handler_name=Apple Sound Media Handler
  
  [/STREAM]
  
  [FORMAT]
  
  filename=https://s3-us-west-2.amazonaws.com/my-bucket/mymoviefile.mp4
  
  nb_streams=2
  
  nb_programs=0
  
  format_name=mov,mp4,m4a,3gp,3g2,mj2
  
  format_long_name=QuickTime / MOV
  
  start_time=0.000000
  
  duration=2897.695000
  
  size=1776706045
  
  bit_rate=4905156
  
  probe_score=100
  
  TAG:major_brand=mp42
  
  TAG:minor_version=1
  
  TAG:compatible_brands=isommp41avc1
  
  TAG:creation_time=2015-11-18 02:34:41
  
  [/FORMAT]