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• What is Funnel Analysis ? A Complete Guide for Quick Results

  25 janvier 2024, par Erin

  Your funnel is leaking.

  You’re losing visitors.

  You’re losing conversions and sales.

  But you don’t know how it’s happening, where it’s happening, or what to do about it.

  The reason ? You aren’t properly analysing your funnels.

  If you want to improve conversions and grow your business, you need to understand how to properly assess your sales funnels to set yourself up for success.

  In this guide, we’ll show you what funnel analysis is, why it’s important, and what steps you need to take to leverage it to improve conversions.

  What is funnel analysis ?

  Every business uses sales funnels, whether they know it or not.

  But most people aren’t analysing them, costing them conversions.

  

  Funnel analysis is a marketing method to analyse the events leading to specific conversion points. 

  It aims to look at the entire journey of potential customers from the moment they first touch base with your website or business to the moment they click “buy.”

  It’s assessing what your audience is doing at every step of the journey.

  By assessing what actions are taking place at scale, you can see where you’re falling short in your sales funnel.

  You’ll see :

  1. Where prospects are falling off.
  2. Where people are converting well.

  By gaining this understanding, you’ll better understand the health of your website’s sales funnels and overall marketing strategy.

  With that knowledge, you can optimise your marketing strategy to patch those leaks, improve conversions and grow your business.

  Why funnel analysis is important

  Funnel analysis is critical because your funnel is your business.

  When you analyse your funnel, you’re analysing your business.

  You’re looking at what’s working and what’s not so you can grow revenue and profit margins.

  Funnel analysis lets you monitor user behaviour to show you the motivation and intention behind their decisions.

  Here are five reasons you need to incorporate funnel analysis into your workflow.

  

  1. Gives insights into your funnel problems

  The core purpose of funnel analysis is to look at what’s going on on your website.

  What are the most effective steps to conversion ?

  Where do users drop off in the conversion process ?

  And which pages contribute the most to conversion or drop-offs ?

  Funnel analysis helps you understand what’s going on with your site visitors. Plus, it helps you see what’s wrong with your funnel.

  If you aren’t sure what’s happening with your funnel, you won’t know what to improve to grow your revenue.

  2. Improves conversions

  When you know what’s going on with your funnel, you’ll know how to improve it.

  To improve your conversion funnel, you need to close the leaks. These are areas where website visitors are falling off.

  It’s the moment the conversion is lost.

  You need to use funnel analysis to give insight into these problem areas. Once you can see where the issue is, you can patch that leak and improve the percentage of visitors who convert.

  For example, if your conversion rate on your flagship product page has plateaued and you can’t figure out how to increase conversions, implementing a funnel analysis tactic like heatmaps will show you that visitors are spending time reading your product description. Still, they’re not spending much time near your call to action.

  

  This might tell you that you need to update your description copy or adjust your button (i.e. colour, size, copy). You can increase conversions by making those changes in your funnel analysis insights.

  3. Improves the customer experience

  Funnel analysis helps you see where visitors spend their time, what elements they interact with and where they fall off.

  One of the key benefits of analysing your funnel is you’ll be able to help improve the experience your visitors have on your website.

  For example, if you have informational videos on a specific web page to educate your visitors, you might use the Media Analytics feature in your web analytics solution to find out that they’re not spending much time watching them.

  This could lead you to believe that the content itself isn’t good or relevant to them.

  But, after implementing session recordings within your funnel analysis, you see people clicking a ton near the play button. This might tell you that they’re having trouble clicking the actual button on the video player due to poor UX.

  In this scenario, you could update the UX on your web page so the videos are easy to click and watch, no matter what device someone uses.

  With more video viewers, you can provide value to your visitors instead of leaving them frustrated trying to watch your videos.

  4. Grows revenue

  This is what you’re likely after : more revenue.

  More often than not, this means you need to focus on improving your conversion rate.

  Funnel analysis helps you find those areas where visitors are exiting so you can patch those leaks up and turn more visitors into customers.

  Let’s say you have a conversion rate of 1.7%.

  You get 50,000 visitors per month.

  Your average order is $82.

  Even if you increase your conversion rate by 10% (to 1.87%) through funnel analysis, here’s the monthly difference in revenue :

  Before : $69,700
  After : $76,670

  In one year, you’ll make nearly $80,000 in additional revenue from funnel analysis alone.

  Different types of funnel analysis

  There are a few different types of funnel analysis.

  How you define success in your funnel all comes down to one of these four pillars.

  Depending on your goals, business and industry, you may want to assess the different funnel analyses at different times.

  1. Pageview funnel analysis

  Pageview funnel analysis is about understanding how well your website content is performing. 

  It helps you enhance user experience, making visitors stay longer on your site. By identifying poor performing pages (pages with high exit rates), you can pinpoint areas that need optimisation for better engagement.

  2. Conversion funnel analysis

  Next up, we’re looking at conversion funnel analysis.

  This type of funnel analysis is crucial for marketers aiming to turn website visitors into action-takers. This involves tracking and optimising conversion goals, such as signing up for newsletters, downloading ebooks, submitting forms or signing up for free trials. 

  The primary goal of conversion funnel analysis is to boost your website’s overall conversion rates.

  3. E-commerce funnel analysis

  For businesses selling products online, e-commerce funnel analysis is essential. 

  It involves measuring whether your products are being purchased and finding drop-off points in the purchasing process. 

  By optimising the e-commerce funnel, you can enhance revenue and improve the overall efficiency of your sales process.

  How to conduct funnel analysis

  Now that you understand what funnel analysis is, why it’s important, and the different types of analysis, it’s time to show you how to do it yourself.

  To get started with funnel analysis, you need to have the right web analytics solution.

  Here are the most common funnel analysis tools and methods you can use :

  1. Funnel analytics

  If you want to choose a single tool to conduct funnel analysis, it’s an all-in-one web analytics tool, like Matomo.

  

  With Matomo’s Funnel Analytics, you can dive into your whole funnel and analyse each step (and each step’s conversion rate).

  

  For instance, if you look at the example above, you can see the proceed rate at each funnel step before the conversion page.

  This means you can improve each proceed rate, to drive more traffic to your conversion page in order to increase conversion rates.

  In the above snapshot from Matomo, it shows visitors starting on the job board overview page, moving on to view specific job listings. The goal is to convert these visitors into job applicants.

  However, a significant issue arises at the job view stage, where 95% of visitors don’t proceed to job application. To increase conversions, we need to first concentrate on improving the job view page.

  Try Matomo for Free

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

  Start for free

  No credit card required

  2. Heatmaps

  Heatmaps is a behaviour analytics tool that lets you see different visitor activities, including :

  • Mouse movement
  • How far down visitors scroll
  • Clicks

  You can see which elements were clicked on and which weren’t and how far people scroll down your page.

  

  A heatmap lets you see which parts of a page are getting the most attention and which parts go unnoticed by your users.

  For example, if, during your funnel analysis, you see that a lot of visitors are falling off after they land on the checkout page, then you might want to add a heatmap on your checkout page to see where and why people are exiting.

  3. Session recordings

  Want to see what individual users are doing and how they’re interacting with your site ?

  Then, you’ll want to check out session recordings.

  A session recording is a video playback of a visitor’s time on your website.

  

  It’s the most effective method to observe your visitors’ interactions with your site, eliminating uncertainty when identifying areas for funnel improvement.

  Session recordings instill confidence in your optimisation efforts by providing insights into why and where visitors may be dropping off in the funnel.

  4. A/B testing

  If you want to take the guesswork out of optimising your funnel and increasing your conversions, you need to start A/B testing.

  An A/B test is where you create two versions of a web page to determine which one converts better.

  

  For example, if your heatmaps and session recordings show that your users are dropping off near your call to action, it may be time to test a new version.

  You may find that by simply testing a different colour button, you may increase conversions by 20% or more.

  5. Form analytics

  Are you trying to get more leads to fill out forms on your site ?

  Well, Form Analytics can help you understand how your website visitors interact with your signup forms.

  You can view metrics such as starter rate, conversion rate, average hesitation time and average time spent.

  This information allows you to optimise your forms effectively, ultimately maximising your success.

  Let’s look at the performance of a form using Matomo’s Form Analytics feature below.

  

  In the Matomo example, our starter rate stands at a solid 60.1%, but there’s a significant drop to a submitter rate of 29.3%, resulting in a conversion rate of 16.3%.

  Looking closer, people are hesitating for about 16.2 seconds and taking nearly 1 minute 39 seconds on average to complete our form.

  This could indicate our form is confusing and requesting too much. Simplifying it could help increase sign-ups.

  See first-hand how Concrete CMS tripled their leads using Form Analytics in Matomo.

  Try Matomo for Free

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

  Start for free

  No credit card required

  Start optimising your funnels with Matomo today

  If you want to optimise your business, you must optimise your funnels.

  Without information on what’s working and what’s not, you’ll never know if your website changes are making a difference.

  Worse yet, you could have underperforming stages in your funnel, but you won’t know unless you start looking.

  Funnel analysis changes that.

  By analysing your funnels regularly, you’ll be able to see where visitors are leaking out of your funnel. That way, you can get more visitors to convert without generating more traffic.

  If you want to improve conversions and grow revenue today, try Matomo’s Funnel Analytics feature.

  You’ll be able to see conversion rates, drop-offs, and fine-tuned details on each step of your funnel so you can turn more potential customers into paying customers.

  Additionally, Matomo comes equipped with features like heatmaps, session recordings, A/B testing, and form analytics to optimise your funnels with confidence.

  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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• popen returns output after delay ?

  7 février 2013, par Scarface

  I am executing FFMPEG with popen() to get the result of the process. The main reason I am doing this is so I can stream constant output and build a progress bar.

  The issue is that the process starts and I receive some initial information. The rest of the information does not appear until after the process is done however. So essentially, the rest of the output (output on the progress) which comes on intervals when the process is going is delayed right before the process and all comes at once after the process is done which is useless.

  I need the output to constantly come so I can update a progress bar. If I change 2>&1 to 2> stderr.txt that text file receives output consistently but I would like to receive in php since many processes may be running. Anyone have any ideas on solving this ? It seems noone can figure this out...and it is driving me crazy ! IF anyone helps me figure this out (and actually solve it), I will start a bounty and then accept their answer.

  $handle = popen ('/usr/local/bin/ffmpeg -i /home/g/Desktop/cave.wmv -deinterlace -acodec libfaac -ab 96k -ar 44100 -vcodec libx264 -s 480x320 -f flv /home/g/Desktop/file.flv 2>&1', 'r');
  
  if ($handle) {
  
  
  
      while(! feof ($handle)) {
  
  
  
  echo $read = fgets ($handle);
  
  
  
  ob_flush();
  
      flush();
  
      } 
  
      pclose ($handle);
  
  }

  OUTPUTS

      ffmpeg version git-N-30561-g6700aa8, Copyright (c) 2000-2011 the FFmpeg developers built on Jun 5 2011 21:10:26 with gcc 4.5.2 configuration: --enable-gpl --enable-version3 --enable-nonfree --enable-postproc --enable-libfaac --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libtheora --enable-libvorbis --enable-libx264 --enable-libxvid --enable-x11grab libavutil 51. 4. 0 / 51. 4. 0 libavcodec 53. 6. 1 / 53. 6. 1 libavformat 53. 2. 0 / 53. 2. 0 libavdevice 53. 1. 1 / 53. 1. 1 libavfilter 2. 13. 0 / 2. 13. 0 libswscale 0. 14. 1 / 0. 14. 1 libpostproc 51. 2. 0 / 51. 2. 0 Seems stream 0 codec frame rate differs from container frame rate: 1000.00 (1000/1) -> 29.97 (30000/1001) Input #0, asf, from '/home/geoff/Desktop/cave.wmv': Metadata: WMFSDKVersion : 11.0.5721.5145 WMFSDKNeeded : 0.0.0.0000 IsVBR : 0 Duration: 00:01:37.93, bitrate: 263 kb/s Stream #0.0(eng): Video: vc1 (Advanced), yuv420p, 320x240, 256 kb/s, PAR 1:1 DAR 4:3, 29.97 tbr, 1k tbn, 1k tbc [buffer @ 0xacae200] w:320 h:240 pixfmt:yuv420p tb:1/1000000 sar:1/1 sws_param: [scale @ 0xacbc120] w:320 h:240 fmt:yuv420p -> w:480 h:320 fmt:yuv420p flags:0x4 [libx264 @ 0xacbb7e0] Default settings detected, using medium profile [libx264 @ 0xacbb7e0] using SAR=1/1 [libx264 @ 0xacbb7e0] using cpu capabilities: MMX2 SSE2Fast SSSE3 FastShuffle Cache64 [libx264 @ 0xacbb7e0] profile High, level 2.1 [libx264 @ 0xacbb7e0] 264 - core 115 r1995 c1e60b9 - H.264/MPEG-4 AVC codec - Copyleft 2003-2011 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=1 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00 Output #0, flv, to '/home/geoff/Desktop/file.flv': Metadata: WMFSDKVersion : 11.0.5721.5145 WMFSDKNeeded : 0.0.0.0000 IsVBR : 0 encoder : Lavf53.2.0 Stream #0.0(eng): Video: libx264, yuv420p, 480x320 [PAR 1:1 DAR 3:2], q=2-31, 200 kb/s, 1k tbn, 29.97 tbc Stream mapping: Stream #0.0 -> #0.0 Press [q] to stop, [?] for help 
  
  
  
  **THEN AFTER THE PROCESS IS COMPLETE OUTPUTS**
  
  
  
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fps= 35 q=29.0 size= 2089kB time=00:00:46.31 bitrate= 369.4kbits/s frame= 1449 fps= 35 q=29.0 size= 2114kB time=00:00:46.94 bitrate= 368.8kbits/s frame= 1469 fps= 35 q=29.0 size= 2140kB time=00:00:47.61 bitrate= 368.1kbits/s frame= 1488 fps= 35 q=29.0 size= 2169kB time=00:00:48.24 bitrate= 368.3kbits/s frame= 1506 fps= 35 q=29.0 size= 2212kB time=00:00:48.84 bitrate= 371.0kbits/s frame= 1522 fps= 35 q=29.0 size= 2248kB time=00:00:49.38 bitrate= 372.8kbits/s frame= 1540 fps= 35 q=29.0 size= 2278kB time=00:00:49.98 bitrate= 373.4kbits/s frame= 1558 fps= 35 q=29.0 size= 2314kB time=00:00:50.58 bitrate= 374.7kbits/s frame= 1577 fps= 35 q=29.0 size= 2346kB time=00:00:51.21 bitrate= 375.2kbits/s frame= 1598 fps= 35 q=29.0 size= 2377kB time=00:00:51.91 bitrate= 375.1kbits/s frame= 1615 fps= 35 q=29.0 size= 2409kB time=00:00:52.48 bitrate= 375.9kbits/s frame= 1633 fps= 35 q=29.0 size= 2440kB time=00:00:53.08 bitrate= 376.4kbits/s frame= 1651 fps= 35 q=29.0 size= 2470kB time=00:00:53.68 bitrate= 376.9kbits/s frame= 1670 fps= 35 q=29.0 size= 2501kB time=00:00:54.32 bitrate= 377.2kbits/s frame= 1690 fps= 35 q=29.0 size= 2539kB time=00:00:54.98 bitrate= 378.3kbits/s frame= 1707 fps= 35 q=29.0 size= 2570kB time=00:00:55.55 bitrate= 378.9kbits/s frame= 1725 fps= 35 q=29.0 size= 2601kB time=00:00:56.15 bitrate= 379.4kbits/s frame= 1743 fps= 35 q=29.0 size= 2632kB time=00:00:56.75 bitrate= 379.8kbits/s frame= 1762 fps= 35 q=29.0 size= 2677kB time=00:00:57.39 bitrate= 382.2kbits/s frame= 1781 fps= 35 q=29.0 size= 2706kB time=00:00:58.02 bitrate= 382.0kbits/s frame= 1800 fps= 35 q=29.0 size= 2738kB time=00:00:58.65 bitrate= 382.3kbits/s frame= 1821 fps= 35 q=29.0 size= 2765kB time=00:00:59.36 bitrate= 381.6kbits/s frame= 1841 fps= 36 q=29.0 size= 2793kB time=00:01:00.02 bitrate= 381.2kbits/s frame= 1857 fps= 35 q=29.0 size= 2822kB time=00:01:00.56 bitrate= 381.7kbits/s frame= 1875 fps= 35 q=29.0 size= 2849kB time=00:01:01.16 bitrate= 381.6kbits/s frame= 1894 fps= 35 q=29.0 size= 2874kB time=00:01:01.79 bitrate= 381.0kbits/s frame= 1914 fps= 35 q=29.0 size= 2900kB time=00:01:02.46 bitrate= 380.4kbits/s frame= 1933 fps= 35 q=29.0 size= 2924kB time=00:01:03.09 bitrate= 379.7kbits/s frame= 1954 fps= 36 q=29.0 size= 2946kB time=00:01:03.79 bitrate= 378.3kbits/s frame= 1974 fps= 36 q=29.0 size= 2971kB time=00:01:04.46 bitrate= 377.5kbits/s frame= 1991 fps= 36 q=29.0 size= 3005kB time=00:01:05.03 bitrate= 378.5kbits/s frame= 2006 fps= 35 q=29.0 size= 3043kB time=00:01:05.53 bitrate= 380.4kbits/s frame= 2024 fps= 35 q=29.0 size= 3074kB time=00:01:06.13 bitrate= 380.8kbits/s frame= 2042 fps= 35 q=29.0 size= 3099kB time=00:01:06.73 bitrate= 380.5kbits/s frame= 2059 fps= 35 q=29.0 size= 3122kB time=00:01:07.30 bitrate= 380.0kbits/s frame= 2077 fps= 35 q=29.0 size= 3149kB time=00:01:07.90 bitrate= 379.9kbits/s frame= 2096 fps= 35 q=29.0 size= 3172kB time=00:01:08.53 bitrate= 379.2kbits/s frame= 2117 fps= 35 q=29.0 size= 3196kB time=00:01:09.23 bitrate= 378.2kbits/s frame= 2129 fps= 35 q=29.0 size= 3214kB time=00:01:09.63 bitrate= 378.0kbits/s frame= 2147 fps= 35 q=29.0 size= 3246kB time=00:01:10.23 bitrate= 378.6kbits/s frame= 2167 fps= 35 q=29.0 size= 3268kB time=00:01:10.90 bitrate= 377.5kbits/s frame= 2185 fps= 35 q=29.0 size= 3298kB time=00:01:11.50 bitrate= 377.8kbits/s frame= 2204 fps= 35 q=29.0 size= 3327kB time=00:01:12.13 bitrate= 377.8kbits/s frame= 2222 fps= 35 q=29.0 size= 3359kB time=00:01:12.74 bitrate= 378.3kbits/s frame= 2242 fps= 35 q=29.0 size= 3386kB time=00:01:13.40 bitrate= 377.9kbits/s frame= 2261 fps= 35 q=29.0 size= 3428kB time=00:01:14.04 bitrate= 379.3kbits/s frame= 2280 fps= 35 q=29.0 size= 3459kB time=00:01:14.67 bitrate= 379.5kbits/s frame= 2299 fps= 35 q=29.0 size= 3494kB time=00:01:15.30 bitrate= 380.1kbits/s frame= 2318 fps= 35 q=29.0 size= 3514kB time=00:01:15.94 bitrate= 379.1kbits/s frame= 2340 fps= 36 q=29.0 size= 3539kB time=00:01:16.67 bitrate= 378.1kbits/s frame= 2360 fps= 36 q=29.0 size= 3563kB time=00:01:17.34 bitrate= 377.4kbits/s frame= 2377 fps= 36 q=29.0 size= 3586kB time=00:01:17.91 bitrate= 377.1kbits/s frame= 2393 fps= 36 q=29.0 size= 3606kB time=00:01:18.44 bitrate= 376.6kbits/s frame= 2410 fps= 35 q=29.0 size= 3625kB time=00:01:19.01 bitrate= 375.9kbits/s frame= 2427 fps= 35 q=29.0 size= 3639kB time=00:01:19.57 bitrate= 374.7kbits/s frame= 2444 fps= 35 q=29.0 size= 3656kB time=00:01:20.14 bitrate= 373.7kbits/s frame= 2461 fps= 35 q=29.0 size= 3680kB time=00:01:20.71 bitrate= 373.5kbits/s frame= 2473 fps= 35 q=29.0 size= 3702kB time=00:01:21.11 bitrate= 373.9kbits/s frame= 2488 fps= 35 q=29.0 size= 3722kB time=00:01:21.61 bitrate= 373.6kbits/s frame= 2506 fps= 35 q=29.0 size= 3764kB time=00:01:22.21 bitrate= 375.0kbits/s frame= 2522 fps= 35 q=29.0 size= 3788kB time=00:01:22.75 bitrate= 375.0kbits/s frame= 2539 fps= 35 q=29.0 size= 3820kB time=00:01:23.31 bitrate= 375.6kbits/s frame= 2556 fps= 35 q=29.0 size= 3851kB time=00:01:23.88 bitrate= 376.1kbits/s frame= 2571 fps= 35 q=29.0 size= 3885kB time=00:01:24.38 bitrate= 377.2kbits/s frame= 2587 fps= 35 q=29.0 size= 3919kB time=00:01:24.91 bitrate= 378.1kbits/s frame= 2600 fps= 35 q=29.0 size= 3949kB time=00:01:25.35 bitrate= 379.0kbits/s frame= 2616 fps= 35 q=29.0 size= 3975kB time=00:01:25.88 bitrate= 379.1kbits/s frame= 2633 fps= 35 q=29.0 size= 4003kB time=00:01:26.45 bitrate= 379.3kbits/s frame= 2653 fps= 35 q=29.0 size= 4029kB time=00:01:27.12 bitrate= 378.9kbits/s frame= 2665 fps= 35 q=29.0 size= 4045kB time=00:01:27.52 bitrate= 378.6kbits/s frame= 2682 fps= 35 q=29.0 size= 4068kB time=00:01:28.08 bitrate= 378.3kbits/s frame= 2701 fps= 35 q=29.0 size= 4084kB time=00:01:28.72 bitrate= 377.1kbits/s frame= 2719 fps= 35 q=29.0 size= 4124kB time=00:01:29.32 bitrate= 378.2kbits/s frame= 2735 fps= 35 q=29.0 size= 4154kB time=00:01:29.85 bitrate= 378.7kbits/s frame= 2753 fps= 35 q=29.0 size= 4201kB time=00:01:30.45 bitrate= 380.5kbits/s frame= 2771 fps= 35 q=29.0 size= 4230kB time=00:01:31.05 bitrate= 380.6kbits/s frame= 2788 fps= 35 q=29.0 size= 4259kB time=00:01:31.62 bitrate= 380.8kbits/s frame= 2805 fps= 35 q=29.0 size= 4287kB time=00:01:32.19 bitrate= 380.9kbits/s frame= 2825 fps= 35 q=29.0 size= 4318kB time=00:01:32.86 bitrate= 380.9kbits/s frame= 2847 fps= 35 q=29.0 size= 4334kB time=00:01:33.59 bitrate= 379.3kbits/s frame= 2866 fps= 35 q=29.0 size= 4371kB time=00:01:34.22 bitrate= 380.0kbits/s frame= 2885 fps= 35 q=29.0 size= 4395kB time=00:01:34.86 bitrate= 379.6kbits/s frame= 2903 fps= 35 q=29.0 size= 4424kB time=00:01:35.46 bitrate= 379.6kbits/s frame= 2921 fps= 35 q=29.0 size= 4450kB time=00:01:36.06 bitrate= 379.5kbits/s frame= 2934 fps= 35 q=29.0 Lsize= 4512kB time=00:01:37.86 bitrate= 377.7kbits/s dup=0 drop=1 video:4454kB audio:0kB global headers:0kB muxing overhead 1.293893% frame I:13 Avg QP:19.66 size: 13557 [libx264 @ 0x95737e0] frame P:1221 Avg QP:23.87 size: 2962 [libx264 @ 0x95737e0] frame B:1700 Avg QP:30.26 size: 451 [libx264 @ 0x95737e0] consecutive B-frames: 7.2% 33.5% 39.7% 19.6% [libx264 @ 0x95737e0] mb I I16..4: 9.6% 73.3% 17.0% [libx264 @ 0x95737e0] mb P I16..4: 0.4% 2.5% 0.4% P16..4: 37.8% 18.9% 8.1% 0.0% 0.0% skip:31.8% [libx264 @ 0x95737e0] mb B I16..4: 0.0% 0.1% 0.0% B16..8: 30.9% 1.9% 0.4% direct: 0.9% skip:65.8% L0:30.8% L1:63.8% BI: 5.4% [libx264 @ 0x95737e0] 8x8 transform intra:74.5% inter:72.0% [libx264 @ 0x95737e0] coded y,uvDC,uvAC intra: 79.7% 84.7% 50.5% inter: 14.2% 13.9% 0.7% [libx264 @ 0x95737e0] i16 v,h,dc,p: 60% 18% 4% 18% [libx264 @ 0x95737e0] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 26% 12% 10% 4% 10% 15% 7% 10% 7% [libx264 @ 0x95737e0] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 27% 19% 9% 4% 10% 13% 6% 8% 4% [libx264 @ 0x95737e0] i8c dc,h,v,p: 46% 21% 22% 12% [libx264 @ 0x95737e0] Weighted P-Frames: Y:0.8% UV:0.4% [libx264 @ 0x95737e0] ref P L0: 65.4% 20.8% 10.8% 2.9% 0.0% [libx264 @ 0x95737e0] ref B L0: 91.4% 8.0% 0.6% [libx264 @ 0x95737e0] ref B L1: 95.6% 4.4% [libx264 @ 0x95737e0] kb/s:372.66 

• mpegts muxer, DVB subtitles encoder : common DVB subtitles payload

  11 janvier 2014, par Serhii Marchuk

  mpegts muxer, DVB subtitles encoder : common DVB subtitles payload
  Improved DVB subtitles encoder to generate AVPacket.data in the same
  
  format as generates MPEGTS demuxer + DVB subtitles parser. So now single
  
  format of DVB subtitles data is used across all the components of FFmpeg :
  
  only subtitles payload WITHOUT 0x20 0x00 bytes at the beginning and 0xFF
  
  trailing byte.
  Improved MPEGTS muxer to support format of DVB subtitles in
  
  AVPacket.data described above : while muxing we add two bytes 0x20 0x00 to
  
  the beginning of and 0xFF to the end of DVB subtitles payload.
  The patch fixes DVB subtitle copy problems : tickets #2989 fully and #2024
  
  partly.
  Signed-off-by : Clément Bœsch <u@pkh.me>
  

  • [DH] libavcodec/dvbsub.c
  • [DH] libavcodec/version.h
  • [DH] libavformat/mpegtsenc.c
  • [DH] libavformat/version.h