Sur d’autres sites (5603)

• Your 6-step guide to increasing acquisition

  2 juillet 2019, par Matomo Core Team — Analytics Tips
  Your 6-step guide to increasing acquisition

  Want to save time and money, as well as increase conversions and acquisition ? Matomo Analytics is here to help with that !

  Let’s start by helping you create a website visitors’ acquisition strategy, without it you might be going in blind and missing opportunities that might’ve been easily found in your metrics.

  To help you craft a strategy for your site, check out the steps below !

  Step one : Get familiar with the Acquisition feature

  The easiest way is to start with Matomo’s Acquisition feature itself. Discover and take action on the marketing channels with the biggest ROI for your business. You’ll learn :

  How to get traffic from external websites : Find out who’s helping you succeed from external websites and convince them to do more of it. Get more traffic by proactively asking for : paid sponsorships ; guest blog posts ; or spending more advertising on the particular website.

  

  About Social Networks : Which social media channels are connecting with the audience you want ? Take the guesswork out by using only the ones you need. By finding out which social channels your ideal audience prefers, you can generate shareable, convincing and engaging content to drive shares and traffic through to your site.

  Campaigns : This helps you understand which marketing campaign is working and which isn’t. You can then shift your efforts to effectively gain more visitors with less costs. Keep track of every ad and content piece you show across internal and external channels to see which has the biggest impact on your business objectives.

  Enhanced SEO : Every acquisition plan needs a focus on maximising your Search Engine Optimization (SEO) efforts. When it comes to getting conclusive search engine referrer metrics, you need to be sure you’re getting ALL the insights to drive your SEO strategy. See keyword position rankings, integrate Google, Bing and Yahoo search consoles, and no longer be restricted with “keyword not defined” showing up in your keywords reports.

  >> Watch Acquisition introduction video (playtime : 2.54 minutes)

  Step two : Set your goals and monitor conversion funnels

  Let the Goals feature guide you

  Goals are essential for building your marketing strategy and getting new customers. The more goals you track, the more you learn about behavioural changes and modify pathways to impact acquisitions over time. 

  Are you checking :

  • Which channels are converting the best for your business ?
  • Which cities/countries are most popular ?
  • What devices will attract the most visitors ?
  • How engaged your visitors are before converting ?

  This way you can see if your campaigns (SEO, PPC, signups, blogs etc.) or optimising efforts (A/B Testing, Funnels) have made an impact with the time and investment you’ve put in.

  >> Watch Goals introduction video (playtime : 2.04 minutes)

  The Funnels feature leads you to success

  Conversion funnels give you the big picture on whether your acquisition plans are paying off and where they may be falling short. If the ultimate goal of your site is to drive conversions, then each funnel can tell you how effectively you’re driving traffic through to your desired outcome.

  >> Watch Funnels introduction video (playtime : 2.29 minutes)

  

  Step three : Measure the success of every touchpoint in your customer’s journey

  Multi Attribution feature

  Accurately identify channels where visitors first engage with your business, as well as the final channel they came from, before purchasing your product/service. This helps you make smarter decisions when determining acquisition spend to accurately calculate the Customer Acquisition Cost (CAC). Here you no longer falsely over-estimate investment in failing marketing channels.

  >> Watch Multi Attribution introduction video (playtime : 2.28 minutes)

  Step four : For ecommerce sites, understand who your customers are to increase sales

  Ecommerce feature to significantly increase $ potential

  If your website’s overall purpose is to generate revenue, the Ecommerce feature gives you comprehensive insights into your customer’s purchasing behaviours.

  This heavily reduces your risks when marketing products to potential customers as you’ll understand who to target, what to target them with and where further opportunities exist.

  >> Watch Ecommerce introduction video (playtime : 2.04 minutes)

  

  Step five : Make sure the forms on your website are easy to complete

  Form Analytics feature

  Once you get visitors through the funnel, the forms on your website are the final step to conversion and need special attention. If not done right, you could be missing out on converting a large portion of your visitors.

  Thankfully, you can now identify and fix pain points on the forms that are most important to your business’ success.

  >> Watch Form Analytics introduction video (playtime : 2.39 minutes)

  

  Step six : Discover what a customer journey looks like on a user-by-user basis and bring in key acquisition elements to your strategy

  Visitor Profiles tell you each visitors’ history

  The Profile feature summarises every visit, action and purchase made.

  Better understand :

  • Why your visitors viewed your website.
  • Why your returning visitors continue to view your website.
  • What specifically your visitors are looking for and whether they found it on your website.

  The benefit is being able to see how a combination of acquisition channels play a part in a single buyer’s journey.

  >> Watch Visitors introduction video (playtime : 1.46 minutes)

  

  To summarise

  This guide will set you on a path to creating a well-planned acquisition strategy. It’s the key to attracting and capturing the attention of potential visitors/leads, and successfully driving them through a funnel/buyer’s journey on your website.

  Because of Matomo’s reputation as a trusted analytics platform, the features above can be used to assist you in making smarter data-driven decisions. You can pursue different acquisition avenues with confidence and create a strategy that’s agile and ready for success, all while respecting user privacy.

• Segmentation Analytics : How to Leverage It on Your Site

  27 octobre 2023, par Erin — Analytics Tips

  The deeper you go with your customer analytics, the better your insights will be.

  The result ? Your marketing performance soars to new heights.

  Customer segmentation is one of the best ways businesses can align their marketing strategies with an effective output to generate better results. Marketers know that targeting the right people is one of the most important aspects of connecting with and converting web visitors into customers.

  By diving into customer segmentation analytics, you’ll be able to transform your loosely defined and abstract audience into tangible, understandable segments, so you can serve them better.

  In this guide, we’ll break down customer segmentation analytics, the different types, and how you can delve into these analytics on your website to grow your business.

  What is customer segmentation ?

  Before we dive into customer segmentation analytics, let’s take a step back and look at customer segmentation in general. 

  Customer segmentation is the process of dividing your customers up into different groups based on specific characteristics.

  These groups could be based on demographics like age or location or behaviours like recent purchases or website visits. 

  By splitting your audience into different segments, your marketing team will be able to craft highly targeted and relevant marketing campaigns that are more likely to convert.

  Additionally, customer segmentation allows businesses to gain new insights into their audience. For example, by diving deep into different segments, marketers can uncover pain points and desires, leading to increased conversion rates and return on investment.

  But, to grasp the different customer segments, organisations need to know how to collect, digest and interpret the data for usable insights to improve their business. That’s where segmentation analytics comes in.

  What is customer segmentation analytics ?

  Customer segmentation analytics splits customers into different groups within your analytics software to create more detailed customer data and improve targeting.

  

  With customer segmentation, you’re splitting your customers into different groups. With customer segmentation analytics, you’re doing this all within your analytics platform so you can understand them better.

  One example of splitting your customers up is by country. For example, let’s say you have a global customer base. So, you go into your analytics software and find that 90% of your website visitors come from five countries : the UK, the US, Australia, Germany and Japan.

  In this area, you could then create customer segmentation subsets based on these five countries. Moving forward, you could then hop into your analytics tool at any point in time and analyse the segments by country. 

  For example, if you wanted to see how well your recent marketing campaign impacted your Japanese customers, you could look at your Japanese subset within your analytics and dive into the data.

  The primary goal of customer segmentation analytics is to gather actionable data points to give you an in-depth understanding of your customers. By gathering data on your different audience segments, you’ll discover insights on your customers that you can use to optimise your website, marketing campaigns, mobile apps, product offerings and overall customer experience.

  Rather than lumping your entire customer base into a single mass, customer segmentation analytics allows you to meet even more specific and relevant needs and pain points of your customers to serve them better.

  By allowing you to “zoom in” on your audience, segmentation analytics helps you offer more value to your customers, giving you a competitive advantage in the marketplace.

  5 types of segmentation

  There are dozens of different ways to split up your customers into segments. The one you choose depends on your goals and marketing efforts. Each type of segmentation offers a different view of your customers so you can better understand their specific needs to reach them more effectively.

  While you can segment your customers in almost endless ways, five common types the majority fall under are :

  

  Geographic

  Another way to segment is by geography.

  This is important because you could have drastically different interests, pain points and desires based on where you live.

  If you’re running a global e-commerce website that sells a variety of clothing products, geographic segmentation can play a crucial role in optimising your website.

  For instance, you may observe that a significant portion of your website visitors are from countries in the Southern Hemisphere, where it’s currently summer. On the other hand, visitors from the Northern Hemisphere are experiencing winter. Utilising this information, you can tailor your marketing strategy and website accordingly to increase sells.

  Where someone comes from can significantly impact how they will respond to your messaging, brand and offer.

  Geographic segmentation typically includes the following subtypes :

  • Cities (i.e., Austin, Paris, Berlin, etc.)
  • State (i.e., Massachusetts)
  • Country (i.e., Thailand)

  Psychographic

  Another key segmentation type of psychographic. This is where you split your customers into different groups based on their lifestyles.

  Psychographic segmentation is a method of dividing your customers based on their habits, attitudes, values and opinions. You can unlock key emotional elements that impact your customers’ purchasing behaviours through this segmentation type.

  Psychographic segmentation typically includes the following subtypes :

  • Values
  • Habits
  • Opinions

  Behavioural

  While psychographic segmentation looks at your customers’ overall lifestyle and habits, behavioural segmentation aims to dive into the specific individual actions they take daily, especially when interacting with your brand or your website.

  Your customers won’t all interact with your brand the same way. They’ll act differently when interacting with your products and services for several reasons. 

  Behavioural segmentation can help reveal certain use cases, like why customers buy a certain product, how often they buy it, where they buy it and how they use it.

  By unpacking these key details about your audience’s behaviour, you can optimise your campaigns and messaging to get the most out of your marketing efforts to reach new and existing customers.

  Behavioural segmentation typically includes the following subtypes :

  • Interactions
  • Interests
  • Desires

  Technographic

  Another common segmentation type is technographic segmentation. As the name suggests, this technologically driven segment seeks to understand how your customers use technology.

  While this is one of the newest segmentation types marketers use, it’s a powerful method to help you understand the types of tech your customers use, how often they use it and the specific ways they use it.

  Technographic segmentation typically includes the following subtypes :

  • Smartphone type
  • Device type : smartphone, desktop, tablet
  • Apps
  • Video games

  Demographic

  The most common approach to segmentation is to split your customers up by demographics. 

  Demographic segmentation typically includes subtypes like language, job title, age or education.

  This can be helpful for tailoring your content, products, and marketing efforts to specific audience segments. One way to capture this information is by using web analytics tools, where language is often available as a data point.

  However, for accurate insights into other demographic segments like job titles, which may not be available (or accurate) in analytics tools, you may need to implement surveys or add fields to forms on your website to gather this specific information directly from your visitors.

  How to build website segmentation analytics

  With Matomo, you can create a variety of segments to divide your website visitors into different groups. Matomo’s Segments allows you to view segmentation analytics on subsets of your audience, like :

  • The device they used while visiting your site
  • What channel they entered your site from
  • What country they are located
  • Whether or not they visited a key page of your website
  • And more

  While it’s important to collect general data on every visitor you have to your website, a key to website growth is understanding each type of visitor you have.

  For example, here’s a screenshot of how you can segment all of your website’s visitors from New Zealand :

  

  The criteria you use to define these segments are based on the data collected within your web analytics platform.

  Here are some popular ways you can create some common themes on Matomo that can be used to create segments :

  Visit based segments

  Create segments in Matomo based on visitors’ patterns. 

  For example :

  • Do returning visitors show different traits than first-time visitors ?
  • Do people who arrive on your blog experience your website differently than those arriving on a landing page ?

  This information can inform your content strategy, user interface design and marketing efforts.

  Demographic segments

  Create segments in Matomo based on people’s demographics. 

  For example :

  • User’s browser language
  • Location

  This can enable you to tailor your approach to specific demographics, improving the performance of your marketing campaigns.

  Technographic segments

  Create segments in Matomo based on people’s technographics. 

  For example :

  • Web browser being used (i.e., Chrome, Safari, Firefox, etc.)
  • Device type (i.e., smartphone, tablet, desktop)

  This can inform how to optimise your website based on users’ technology preferences, enhancing the effectiveness of your website.

  Interaction based segments

  Create segments in Matomo based on interactions. 

  For example :

  • Events (i.e., when someone clicks a specific URL on your website)
  • Goals (i.e., when someone stays on your site for a certain period)

  Insights from this can empower you to fine-tune your content and user experience for increasing conversion rates.

  

  Campaign-based segments

  Create segments in Matomo based on campaigns. 

  For example :

  • Visitors arriving from specific traffic sources
  • Visitors arriving from specific advertising campaigns

  With these insights, you can assess the performance of your marketing efforts, optimise your ad spend and make data-driven decisions to enhance your campaigns for better results.

  Ecommerce segments

  Create segments in Matomo based on ecommerce. 

  For example :

  • Visitors who purchased vs. those who didn’t
  • Visitors who purchased a specific product

  This allows you to refine your website and marketing strategy for increased conversions and revenue.

  Leverage Matomo for your segmentation analytics

  By now, you can see the power of segmentation analytics and how they can be used to understand your customers and website visitors better. By breaking down your audience into groups, you’ll be able to gain insights into those segments to know how to serve them better with improved messaging and relevant products.

  If you’re ready to begin using segmentation analytics on your website, try Matomo. Start your 21-day free trial now — no credit card required.

  Matomo is an ideal choice for marketers looking for an easy-to-use, out-of-the-box web analytics solution that delivers accurate insights while keeping privacy and compliance at the forefront.

• How to get .mp4 videos from motion on a Raspberry Pi ?

  9 octobre 2016, par Maarti

  I use motion on my laptop and it works perfectly in any format. But when I use it on my Raspberry Pi 3 (Raspbian Jessie) with the Raspberry Camera V2, the only formats that work are : .avi and .swf.

  When I choose any other format, the output video is a "0 sec video" that is played and closed instantly.

  I would like to have .mp4 or .ogg output so I can read it easily with HTML5.

  Here is the motion codec documentation.

  Here is my config file :

  ############################################################
  
  # Daemon
  
  ############################################################
  
  
  
  # Start in daemon (background) mode and release terminal (default: off)
  
  daemon on
  
  
  
  # File to store the process ID, also called pid file. (default: not defined)
  
  process_id_file /var/run/motion/motion.pid
  
  
  
  ############################################################
  
  # Basic Setup Mode
  
  ############################################################
  
  
  
  # Start in Setup-Mode, daemon disabled. (default: off)
  
  setup_mode off
  
  
  
  
  
  # Use a file to save logs messages, if not defined stderr and syslog is used. (default: not defined)
  
  #logfile /mnt/camshare/Cam1/motion.log
  
  logfile /tmp/motion.log
  
  
  
  # Level of log messages [1..9] (EMR, ALR, CRT, ERR, WRN, NTC, INF, DBG, ALL). (default: 6 / NTC)
  
  log_level 2
  
  
  
  # Filter to log messages by type (COR, STR, ENC, NET, DBL, EVT, TRK, VID, ALL). (default: ALL)
  
  log_type all
  
  
  
  ###########################################################
  
  # Capture device options
  
  ############################################################
  
  
  
  # Videodevice to be used for capturing  (default /dev/video0)
  
  # for FreeBSD default is /dev/bktr0
  
  #videodevice /dev/video0
  
  
  
  # v4l2_palette allows to choose preferable palette to be use by motion
  
  # to capture from those supported by your videodevice. (default: 17)
  
  # E.g. if your videodevice supports both V4L2_PIX_FMT_SBGGR8 and
  
  # V4L2_PIX_FMT_MJPEG then motion will by default use V4L2_PIX_FMT_MJPEG.
  
  # Setting v4l2_palette to 2 forces motion to use V4L2_PIX_FMT_SBGGR8
  
  # instead.
  
  #
  
  # Values :
  
  # V4L2_PIX_FMT_SN9C10X : 0  'S910'
  
  # V4L2_PIX_FMT_SBGGR16 : 1  'BYR2'
  
  # V4L2_PIX_FMT_SBGGR8  : 2  'BA81'
  
  # V4L2_PIX_FMT_SPCA561 : 3  'S561'
  
  # V4L2_PIX_FMT_SGBRG8  : 4  'GBRG'
  
  # V4L2_PIX_FMT_SGRBG8  : 5  'GRBG'
  
  # V4L2_PIX_FMT_PAC207  : 6  'P207'
  
  # V4L2_PIX_FMT_PJPG    : 7  'PJPG'
  
  # V4L2_PIX_FMT_MJPEG   : 8  'MJPEG'
  
  # V4L2_PIX_FMT_JPEG    : 9  'JPEG'
  
  # V4L2_PIX_FMT_RGB24   : 10 'RGB3'
  
  # V4L2_PIX_FMT_SPCA501 : 11 'S501'
  
  # V4L2_PIX_FMT_SPCA505 : 12 'S505'
  
  # V4L2_PIX_FMT_SPCA508 : 13 'S508'
  
  # V4L2_PIX_FMT_UYVY    : 14 'UYVY'
  
  # V4L2_PIX_FMT_YUYV    : 15 'YUYV'
  
  # V4L2_PIX_FMT_YUV422P : 16 '422P'
  
  # V4L2_PIX_FMT_YUV420  : 17 'YU12'
  
  #
  
  v4l2_palette 7
  
  
  
  # Tuner device to be used for capturing using tuner as source (default /dev/tuner0)
  
  # This is ONLY used for FreeBSD. Leave it commented out for Linux
  
  ; tunerdevice /dev/tuner0
  
  
  
  # The video input to be used (default: -1)
  
  # Should normally be set to 0 or 1 for video/TV cards, and -1 for USB cameras
  
  input -1
  
  
  
  # The video norm to use (only for video capture and TV tuner cards)
  
  # Values: 0 (PAL), 1 (NTSC), 2 (SECAM), 3 (PAL NC no colour). Default: 0 (PAL)
  
  norm 0
  
  
  
  # The frequency to set the tuner to (kHz) (only for TV tuner cards) (default: 0)
  
  frequency 0
  
  
  
  # Rotate image this number of degrees. The rotation affects all saved images as
  
  # well as movies. Valid values: 0 (default = no rotation), 90, 180 and 270.
  
  rotate 0
  
  
  
  # Image width (pixels). Valid range: Camera dependent, default: 352
  
  #width 1024
  
  width 640
  
  
  
  # Image height (pixels). Valid range: Camera dependent, default: 288
  
  #height 576
  
  height 480
  
  
  
  # Maximum number of frames to be captured per second.
  
  # Valid range: 2-100. Default: 100 (almost no limit).
  
  framerate 15
  
  
  
  # Minimum time in seconds between capturing picture frames from the camera.
  
  # Default: 0 = disabled - the capture rate is given by the camera framerate.
  
  # This option is used when you want to capture images at a rate lower than 2 per second.
  
  minimum_frame_time 0
  
  
  
  # URL to use if you are using a network camera, size will be autodetected (incl http:// ftp:// mjpg:// or file:///)
  
  # Must be a URL that returns single jpeg pictures or a raw mjpeg stream. Default: Not defined
  
  ;netcam_url http://127.0.0.1/cgi-bin/raspicam.sh
  
  
  
  # Username and password for network camera (only if required). Default: not defined
  
  # Syntax is user:password
  
  ; netcam_userpass value
  
  
  
  # The setting for keep-alive of network socket, should improve performance on compatible net cameras.
  
  # off:   The historical implementation using HTTP/1.0, closing the socket after each http request.
  
  # force: Use HTTP/1.0 requests with keep alive header to reuse the same connection.
  
  # on:    Use HTTP/1.1 requests that support keep alive as default.
  
  # Default: off
  
  netcam_keepalive off
  
  
  
  # URL to use for a netcam proxy server, if required, e.g. "http://myproxy".
  
  # If a port number other than 80 is needed, use "http://myproxy:1234".
  
  # Default: not defined
  
  ; netcam_proxy value
  
  
  
  # Set less strict jpeg checks for network cameras with a poor/buggy firmware.
  
  # Default: off
  
  netcam_tolerant_check off
  
  
  
  # Let motion regulate the brightness of a video device (default: off).
  
  # The auto_brightness feature uses the brightness option as its target value.
  
  # If brightness is zero auto_brightness will adjust to average brightness value 128.
  
  # Only recommended for cameras without auto brightness
  
  auto_brightness off
  
  
  
  # Set the initial brightness of a video device.
  
  # If auto_brightness is enabled, this value defines the average brightness level
  
  # which Motion will try and adjust to.
  
  # Valid range 0-255, default 0 = disabled
  
  brightness 0
  
  
  
  # Set the contrast of a video device.
  
  # Valid range 0-255, default 0 = disabled
  
  contrast 0
  
  
  
  # Set the saturation of a video device.
  
  # Valid range 0-255, default 0 = disabled
  
  saturation 0
  
  
  
  # Set the hue of a video device (NTSC feature).
  
  # Valid range 0-255, default 0 = disabled
  
  hue 0
  
  
  
  ############################################################
  
  # File "camera" support - read raw YUV data from a file
  
  ############################################################
  
  #filecam_path /home/pi/test-cap/motion-mmal.capture
  
  
  
  ############################################################
  
  # OpenMax/MMAL camera support for Raspberry Pi
  
  ############################################################
  
  mmalcam_name vc.ril.camera
  
  #mmalcam_control_params
  
  #mmalcam_raw_capture_file /home/pi/motion-mmal.capture
  
  
  
  # Switch this setting to "on" to use the still image mode of the Pi's camera
  
  # instead of video. This gives a wider field of view, but requires
  
  # a much slower frame-rate to achieve exposure stability
  
  # (e.g. 0.25 fps or slower). You can use the minimum_frame_time
  
  # parameter above to achieve this
  
  
  
  mmalcam_use_still off
  
  
  
  
  
  ############################################################
  
  # Round Robin (multiple inputs on same video device name)
  
  ############################################################
  
  
  
  # Number of frames to capture in each roundrobin step (default: 1)
  
  roundrobin_frames 1
  
  
  
  # Number of frames to skip before each roundrobin step (default: 1)
  
  roundrobin_skip 1
  
  
  
  # Try to filter out noise generated by roundrobin (default: off)
  
  switchfilter off
  
  
  
  
  
  ############################################################
  
  # Motion Detection Settings:
  
  ############################################################
  
  
  
  # Threshold for number of changed pixels in an image that
  
  # triggers motion detection (default: 1500)
  
  threshold 1500
  
  
  
  # Automatically tune the threshold down if possible (default: off)
  
  threshold_tune off
  
  
  
  # Noise threshold for the motion detection (default: 32)
  
  noise_level 32
  
  
  
  # Automatically tune the noise threshold (default: on)
  
  noise_tune on
  
  
  
  # Despeckle motion image using (e)rode or (d)ilate or (l)abel (Default: not defined)
  
  # Recommended value is EedDl. Any combination (and number of) of E, e, d, and D is valid.
  
  # (l)abeling must only be used once and the 'l' must be the last letter.
  
  # Comment out to disable
  
  despeckle_filter EedDl
  
  
  
  # Detect motion in predefined areas (1 - 9). Areas are numbered like that:  1 2 3
  
  # A script (on_area_detected) is started immediately when motion is         4 5 6
  
  # detected in one of the given areas, but only once during an event.        7 8 9
  
  # One or more areas can be specified with this option. Take care: This option
  
  # does NOT restrict detection to these areas! (Default: not defined)
  
  ; area_detect value
  
  
  
  # PGM file to use as a sensitivity mask.
  
  # Full path name to. (Default: not defined)
  
  ; mask_file value
  
  
  
  # Dynamically create a mask file during operation (default: 0)
  
  # Adjust speed of mask changes from 0 (off) to 10 (fast)
  
  smart_mask_speed 0
  
  
  
  # Ignore sudden massive light intensity changes given as a percentage of the picture
  
  # area that changed intensity. Valid range: 0 - 100 , default: 0 = disabled
  
  lightswitch 0
  
  
  
  # Picture frames must contain motion at least the specified number of frames
  
  # in a row before they are detected as true motion. At the default of 1, all
  
  # motion is detected. Valid range: 1 to thousands, recommended 1-5
  
  minimum_motion_frames 1
  
  
  
  # Specifies the number of pre-captured (buffered) pictures from before motion
  
  # was detected that will be output at motion detection.
  
  # Recommended range: 0 to 5 (default: 0)
  
  # Do not use large values! Large values will cause Motion to skip video frames and
  
  # cause unsmooth movies. To smooth movies use larger values of post_capture instead.
  
  pre_capture 2
  
  
  
  # Number of frames to capture after motion is no longer detected (default: 0)
  
  post_capture 2
  
  
  
  # Event Gap is the seconds of no motion detection that triggers the end of an event.
  
  # An event is defined as a series of motion images taken within a short timeframe.
  
  # Recommended value is 60 seconds (Default). The value -1 is allowed and disables
  
  # events causing all Motion to be written to one single movie file and no pre_capture.
  
  # If set to 0, motion is running in gapless mode. Movies don't have gaps anymore. An
  
  # event ends right after no more motion is detected and post_capture is over.
  
  event_gap 60
  
  
  
  # Maximum length in seconds of an mpeg movie
  
  # When value is exceeded a new movie file is created. (Default: 0 = infinite)
  
  # ATTENTION: when you're not using the motion build from the tutorial, it might fail with error 'Unknown config option "max_mpeg_time"'
  
  # the use this line instead:
  
  # max_movie_time 60
  
  max_movie_time 60
  
  
  
  # Always save images even if there was no motion (default: off)
  
  emulate_motion off
  
  
  
  
  
  ############################################################
  
  # Image File Output
  
  ############################################################
  
  
  
  # Output 'normal' pictures when motion is detected (default: on)
  
  # Valid values: on, off, first, best, center
  
  # When set to 'first', only the first picture of an event is saved.
  
  # Picture with most motion of an event is saved when set to 'best'.
  
  # Picture with motion nearest center of picture is saved when set to 'center'.
  
  # Can be used as preview shot for the corresponding movie.
  
  output_pictures best
  
  
  
  # Output pictures with only the pixels moving object (ghost images) (default: off)
  
  output_debug_pictures off
  
  
  
  # The quality (in percent) to be used by the jpeg compression (default: 75)
  
  quality 75
  
  
  
  # Type of output images
  
  # Valid values: jpeg, ppm (default: jpeg)
  
  picture_type jpeg
  
  
  
  ############################################################
  
  # FFMPEG related options
  
  # Film (movies) file output, and deinterlacing of the video input
  
  # The options movie_filename and timelapse_filename are also used
  
  # by the ffmpeg feature
  
  ############################################################
  
  
  
  # Use ffmpeg to encode movies in realtime (default: off)
  
  ffmpeg_output_movies on
  
  
  
  # Use ffmpeg to make movies with only the pixels moving
  
  # object (ghost images) (default: off)
  
  ffmpeg_output_debug_movies off
  
  
  
  # Use ffmpeg to encode a timelapse movie
  
  # Default value 0 = off - else save frame every Nth second
  
  ffmpeg_timelapse 0
  
  
  
  # The file rollover mode of the timelapse video
  
  # Valid values: hourly, daily (default), weekly-sunday, weekly-monday, monthly, manual
  
  ffmpeg_timelapse_mode daily
  
  
  
  # Bitrate to be used by the ffmpeg encoder (default: 400000)
  
  # This option is ignored if ffmpeg_variable_bitrate is not 0 (disabled)
  
  ffmpeg_bps 500000
  
  
  
  # Enables and defines variable bitrate for the ffmpeg encoder.
  
  # ffmpeg_bps is ignored if variable bitrate is enabled.
  
  # Valid values: 0 (default) = fixed bitrate defined by ffmpeg_bps,
  
  # or the range 2 - 31 where 2 means best quality and 31 is worst.
  
  ffmpeg_variable_bitrate 5
  
  
  
  # Codec to used by ffmpeg for the video compression.
  
  # Timelapse mpegs are always made in mpeg1 format independent from this option.
  
  # Supported formats are: mpeg1 (ffmpeg-0.4.8 only), mpeg4 (default), and msmpeg4.
  
  # mpeg1 - gives you files with extension .mpg
  
  # mpeg4 or msmpeg4 - gives you files with extension .avi
  
  # msmpeg4 is recommended for use with Windows Media Player because
  
  # it requires no installation of codec on the Windows client.
  
  # swf - gives you a flash film with extension .swf
  
  # flv - gives you a flash video with extension .flv
  
  # ffv1 - FF video codec 1 for Lossless Encoding ( experimental )
  
  # mov - QuickTime ( testing )
  
  # ogg - Ogg/Theora ( testing )
  
  #ffmpeg_video_codec msmpeg4
  
  ffmpeg_video_codec mp4
  
  
  
  # Use ffmpeg to deinterlace video. Necessary if you use an analog camera
  
  # and see horizontal combing on moving objects in video or pictures.
  
  # (default: off)
  
  ffmpeg_deinterlace off
  
  
  
  ############################################################
  
  # SDL Window
  
  ############################################################
  
  
  
  # Number of motion thread to show in SDL Window (default: 0 = disabled)
  
  #sdl_threadnr 0
  
  
  
  ############################################################
  
  # External pipe to video encoder
  
  # Replacement for FFMPEG builtin encoder for ffmpeg_output_movies only.
  
  # The options movie_filename and timelapse_filename are also used
  
  # by the ffmpeg feature
  
  #############################################################
  
  
  
  # Bool to enable or disable extpipe (default: off)
  
  use_extpipe off
  
  
  
  # External program (full path and opts) to pipe raw video to
  
  # Generally, use '-' for STDIN...
  
  ;extpipe mencoder -demuxer rawvideo -rawvideo w=320:h=240:i420 -ovc x264 -x264encopts bframes=4:frameref=1:subq=1:scenecut=-1:nob_adapt:threads=1:keyint=1000:8x8dct:vbv_bufsize=4000:crf=24:partitions=i8x8,i4x4:vbv_maxrate=800:no-chroma-me -vf denoise3d=16:12:48:4,pp=lb -of   avi -o %f.avi - -fps %fps
  
  
  
  
  
  
  
  ############################################################
  
  # Snapshots (Traditional Periodic Webcam File Output)
  
  ############################################################
  
  
  
  # Make automated snapshot every N seconds (default: 0 = disabled)
  
  snapshot_interval 0
  
  
  
  
  
  ############################################################
  
  # Text Display
  
  # %Y = year, %m = month, %d = date,
  
  # %H = hour, %M = minute, %S = second, %T = HH:MM:SS,
  
  # %v = event, %q = frame number, %t = thread (camera) number,
  
  # %D = changed pixels, %N = noise level, \n = new line,
  
  # %i and %J = width and height of motion area,
  
  # %K and %L = X and Y coordinates of motion center
  
  # %C = value defined by text_event - do not use with text_event!
  
  # You can put quotation marks around the text to allow
  
  # leading spaces
  
  ############################################################
  
  
  
  # Locate and draw a box around the moving object.
  
  # Valid values: on, off, preview (default: off)
  
  # Set to 'preview' will only draw a box in preview_shot pictures.
  
  locate_motion_mode off
  
  
  
  # Set the look and style of the locate box if enabled.
  
  # Valid values: box, redbox, cross, redcross (default: box)
  
  # Set to 'box' will draw the traditional box.
  
  # Set to 'redbox' will draw a red box.
  
  # Set to 'cross' will draw a little cross to mark center.
  
  # Set to 'redcross' will draw a little red cross to mark center.
  
  locate_motion_style box
  
  
  
  # Draws the timestamp using same options as C function strftime(3)
  
  # Default: %Y-%m-%d\n%T = date in ISO format and time in 24 hour clock
  
  # Text is placed in lower right corner
  
  text_right %d.%m.%Y\n%T
  
  
  
  # Draw a user defined text on the images using same options as C function strftime(3)
  
  # Default: Not defined = no text
  
  # Text is placed in lower left corner
  
  ; text_left CAMERA %t
  
  text_left HofCam
  
  
  
  # Draw the number of changed pixed on the images (default: off)
  
  # Will normally be set to off except when you setup and adjust the motion settings
  
  # Text is placed in upper right corner
  
  text_changes off
  
  
  
  # This option defines the value of the special event conversion specifier %C
  
  # You can use any conversion specifier in this option except %C. Date and time
  
  # values are from the timestamp of the first image in the current event.
  
  # Default: %Y%m%d%H%M%S
  
  # The idea is that %C can be used filenames and text_left/right for creating
  
  # a unique identifier for each event.
  
  text_event %Y%m%d%H%M%S
  
  
  
  # Draw characters at twice normal size on images. (default: off)
  
  text_double on
  
  
  
  
  
  # Text to include in a JPEG EXIF comment
  
  # May be any text, including conversion specifiers.
  
  # The EXIF timestamp is included independent of this text.
  
  ;exif_text %i%J/%K%L
  
  
  
  ############################################################
  
  # Target Directories and filenames For Images And Films
  
  # For the options snapshot_, picture_, movie_ and timelapse_filename
  
  # you can use conversion specifiers
  
  # %Y = year, %m = month, %d = date,
  
  # %H = hour, %M = minute, %S = second,
  
  # %v = event, %q = frame number, %t = thread (camera) number,
  
  # %D = changed pixels, %N = noise level,
  
  # %i and %J = width and height of motion area,
  
  # %K and %L = X and Y coordinates of motion center
  
  # %C = value defined by text_event
  
  # Quotation marks round string are allowed.
  
  ############################################################
  
  
  
  # Target base directory for pictures and films
  
  # Recommended to use absolute path. (Default: current working directory)
  
  target_dir /home/pi
  
  
  
  # File path for snapshots (jpeg or ppm) relative to target_dir
  
  # Default: %v-%Y%m%d%H%M%S-snapshot
  
  # Default value is equivalent to legacy oldlayout option
  
  # For Motion 3.0 compatible mode choose: %Y/%m/%d/%H/%M/%S-snapshot
  
  # File extension .jpg or .ppm is automatically added so do not include this.
  
  # Note: A symbolic link called lastsnap.jpg created in the target_dir will always
  
  # point to the latest snapshot, unless snapshot_filename is exactly 'lastsnap'
  
  snapshot_filename %v-%Y%m%d%H%M%S-snapshot
  
  
  
  # File path for motion triggered images (jpeg or ppm) relative to target_dir
  
  # Default: %v-%Y%m%d%H%M%S-%q
  
  # Default value is equivalent to legacy oldlayout option
  
  # For Motion 3.0 compatible mode choose: %Y/%m/%d/%H/%M/%S-%q
  
  # File extension .jpg or .ppm is automatically added so do not include this
  
  # Set to 'preview' together with best-preview feature enables special naming
  
  # convention for preview shots. See motion guide for details
  
  picture_filename %v-%Y%m%d%H%M%S-%q
  
  
  
  # File path for motion triggered ffmpeg films (movies) relative to target_dir
  
  # Default: %v-%Y%m%d%H%M%S
  
  # Default value is equivalent to legacy oldlayout option
  
  # For Motion 3.0 compatible mode choose: %Y/%m/%d/%H%M%S
  
  # File extension .mpg or .avi is automatically added so do not include this
  
  # This option was previously called ffmpeg_filename
  
  movie_filename %v-%Y%m%d%H%M%S
  
  
  
  # File path for timelapse movies relative to target_dir
  
  # Default: %Y%m%d-timelapse
  
  # Default value is near equivalent to legacy oldlayout option
  
  # For Motion 3.0 compatible mode choose: %Y/%m/%d-timelapse
  
  # File extension .mpg is automatically added so do not include this
  
  timelapse_filename %Y%m%d-timelapse
  
  
  
  ############################################################
  
  # Global Network Options
  
  ############################################################
  
  # Enable or disable IPV6 for http control and stream (default: off )
  
  ipv6_enabled off
  
  
  
  ############################################################
  
  # Live Stream Server
  
  ############################################################
  
  
  
  # The mini-http server listens to this port for requests (default: 0 = disabled)
  
  stream_port 8080
  
  
  
  # Quality of the jpeg (in percent) images produced (default: 50)
  
  stream_quality 50
  
  
  
  # Output frames at 1 fps when no motion is detected and increase to the
  
  # rate given by stream_maxrate when motion is detected (default: off)
  
  stream_motion on
  
  
  
  # Maximum framerate for stream streams (default: 1)
  
  stream_maxrate 4
  
  
  
  # Restrict stream connections to localhost only (default: on)
  
  stream_localhost off
  
  
  
  # Limits the number of images per connection (default: 0 = unlimited)
  
  # Number can be defined by multiplying actual stream rate by desired number of seconds
  
  # Actual stream rate is the smallest of the numbers framerate and stream_maxrate
  
  stream_limit 0
  
  
  
  # Set the authentication method (default: 0)
  
  # 0 = disabled
  
  # 1 = Basic authentication
  
  # 2 = MD5 digest (the safer authentication)
  
  stream_auth_method 0
  
  
  
  # Authentication for the stream. Syntax username:password
  
  # Default: not defined (Disabled)
  
  ; stream_authentication username:password
  
  
  
  
  
  ############################################################
  
  # HTTP Based Control
  
  ############################################################
  
  
  
  # TCP/IP port for the http server to listen on (default: 0 = disabled)
  
  webcontrol_port 8081
  
  
  
  # Restrict control connections to localhost only (default: on)
  
  webcontrol_localhost off
  
  
  
  # Output for http server, select off to choose raw text plain (default: on)
  
  webcontrol_html_output on
  
  
  
  # Authentication for the http based control. Syntax username:password
  
  # Default: not defined (Disabled)
  
  ; webcontrol_authentication username:password
  
  
  
  
  
  ############################################################
  
  # Tracking (Pan/Tilt)
  
  #############################################################
  
  
  
  # Type of tracker (0=none (default), 1=stepper, 2=iomojo, 3=pwc, 4=generic, 5=uvcvideo, 6=servo)
  
  # The generic type enables the definition of motion center and motion size to
  
  # be used with the conversion specifiers for options like on_motion_detected
  
  track_type 0
  
  
  
  # Enable auto tracking (default: off)
  
  track_auto off
  
  
  
  # Serial port of motor (default: none)
  
  ;track_port /dev/ttyS0
  
  
  
  # Motor number for x-axis (default: 0)
  
  ;track_motorx 0
  
  
  
  # Set motorx reverse (default: 0)
  
  ;track_motorx_reverse 0
  
  
  
  # Motor number for y-axis (default: 0)
  
  ;track_motory 1
  
  
  
  # Set motory reverse (default: 0)
  
  ;track_motory_reverse 0
  
  
  
  # Maximum value on x-axis (default: 0)
  
  ;track_maxx 200
  
  
  
  # Minimum value on x-axis (default: 0)
  
  ;track_minx 50
  
  
  
  # Maximum value on y-axis (default: 0)
  
  ;track_maxy 200
  
  
  
  # Minimum value on y-axis (default: 0)
  
  ;track_miny 50
  
  
  
  # Center value on x-axis (default: 0)
  
  ;track_homex 128
  
  
  
  # Center value on y-axis (default: 0)
  
  ;track_homey 128
  
  
  
  # ID of an iomojo camera if used (default: 0)
  
  track_iomojo_id 0
  
  
  
  # Angle in degrees the camera moves per step on the X-axis
  
  # with auto-track (default: 10)
  
  # Currently only used with pwc type cameras
  
  track_step_angle_x 10
  
  
  
  [...]