Recherche avancée

Sur d’autres sites (7267)

• 5 Key Benefits of Using a Tag Manager

  12 décembre 2021, par erin — Analytics Tips, Marketing

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

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

  In this blog, we’ll cover :

  Tag Manager overview 

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

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

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

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

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

  

  5 key benefits of a Tag Manager

  1. Removes the risks of website downtime 

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

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

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

  2. Your website will load faster 

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

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

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

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

  3. Greater efficiency for marketing

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

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

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

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

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

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

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

  5. Reduce work for the IT team 

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

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

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

  How to choose a Tag Management System

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

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

  Google Tag Manager alternative

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

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

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

  The takeaway 

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

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

• Handling an arbitrary number of start and stop time pairings to cut a movie file down

  9 juin 2019, par Kieran

  I am writing a function that takes a list of tuples and a file path string as arguments and outputs a cut down video that only includes the frames that fall inside the start/stop pairings provided.

  I’m getting stuck because I am not sure whether the .trim() method of the ’infile’ object is altering the existing object or or creating a new one or doing something else entirely.

  the list of start/stop frame pairings can be arbitrarily long, every example I have found has been for a specific number of start and stop pairings and I can’t find anything describing what data structure needs to be passed back to ffmpeg.concat().

  My code is displayed below :

  import ffmpeg
  
  
  
  frameStamps = [(50,75),(120,700),(1250,1500)]
  
  videoFilePath = 'C:/Users/Kieran/Videos/testMovie.mp4'
  
  outputFolder = 'C:/Users/Kieran/Videos/'
  
  
  
  def slice_video(frameStamps, videoFilePath, outputFolder):
  
  
  
      originalFile = ffmpeg.input(videoFilePath)
  
  
  
      for stamp in frameStamps:
  
          ffmpeg.concat(originalFile.trim(start_frame=stamp[0], end_frame=stamp[1]))
  
  
  
  
  
      ffmpeg.output(outputFolder + 'testoutput.mp4')
  
      ffmpeg.run() 
  
  
  
  slice_video(frameStamps, videoFilePath, outputFolder)

  Now I am able to get the following when I individually print out originalFile.trim() which are getting recognised in the console as "FilterableStream" objects

  trim(end_frame=75, start_frame=50)[None] <29b4fb0736ec>
  
  trim(end_frame=700, start_frame=120)[None] <c66c4e1a48f5>
  
  trim(end_frame=1500, start_frame=1250)[None] &lt;13e0697a5288>  
  
  </c66c4e1a48f5>

  and I have tried passing them back as a list, dictionary and tuple and haven’t been able to get it working

  Output Errors :

    File "C:/Users/Kieran/Example.py", line 21, in slice_video
  
  ffmpeg.output(outputFolder + 'testoutput.mp4')
  
  
  
    File "C:\ProgramData\Anaconda3\lib\site-packages\ffmpeg\_ffmpeg.py", line 94, in output
  
  return OutputNode(streams, output.__name__, kwargs=kwargs).stream()
  
  
  
    File "C:\ProgramData\Anaconda3\lib\site-packages\ffmpeg\nodes.py", line 282, in __init__
  
  kwargs=kwargs
  
  
  
    File "C:\ProgramData\Anaconda3\lib\site-packages\ffmpeg\nodes.py", line 170, in __init__
  
  self.__check_input_len(stream_map, min_inputs, max_inputs)
  
  
  
    File "C:\ProgramData\Anaconda3\lib\site-packages\ffmpeg\nodes.py", line 149, in __check_input_len
  
  raise ValueError('Expected at least {} input stream(s); got {}'.format(min_inputs, len(stream_map)))
  
  
  
  ValueError: Expected at least 1 input stream(s); got 0

• FFMPEG hold multiple frames and use as a movie

  18 juin 2019, par Cole

  I have a video that I’m trying to create jump shots from. For example I want the output of my command to show frame 5 of the original clip for 30 frames, and frame 25 of the OG clip to show for 30 frames.

  assuming the OG clip is 30 FPS

  ffmpeg -t 1 -i og_clip.mp4 -filter_complex "
  
      [0]select=eq(n\,5)[H1];[0][H1]overlay[O1];
  
      [0]select=eq(n\,25)[H2];[0][H2]overlay[O2];
  
      [O1][O2]concat=n=2[Merge]" -map "[Merge]" out.mp4

  The above doesnt work right.

  What I’ve been doing up until now has been a two part command :

  ffmpeg -i og_clip.mp4 -vf "select=eq(n\,5)" -vframes 1 -y out_0.png
  
  ffmpeg -i og_clip.mp4 -vf "select=eq(n\,25)" -vframes 1 -y out_1.png
  
  ffmpeg -t 1 -i og_clip.mp4 -i out_0.png -i out_1.png -filter_complex "
  
      [0][1]overlay[H1];[0][2]overlay[H2];
  
      [H1][H2]concat=n=2[Merge]" -map "[Merge]" out.mp4

  Which has been working for me. The only problem is that the process of converting to a png first for each frame I want to use, takes too long. I’m trying to condense it all into one command. I figure that the encoding of the png is what takes so long.

  Any help would be much appreciated !