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

  3 novembre 2017, 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
  
  
  
  [...]

• 7 Fintech Marketing Strategies to Maximise Profits in 2024

  24 juillet 2024, par Erin

  Fintech investment skyrocketed in 2021, but funding tanked in the following two years. A -63% decline in fintech investment in 2023 saw the worst year in funding since 2017. Luckily, the correction quickly floored, and the fintech industry will recover in 2024, but companies will have to work much harder to secure funds.

  F-Prime’s The 2024 State of Fintech Report called 2023 the year of “regulation on, risk off” amid market pressures and regulatory scrutiny. Funding is rising again, but investors want regulatory compliance and stronger growth performance from fintech ventures.

  Here are seven fintech marketing strategies to generate the growth investors seek in 2024.

  Top fintech marketing challenges in 2024

  Following the worst global investment run since 2017 in 2023, fintech marketers need to readjust their goals to adapt to the current market challenges. The fintech honeymoon is over for Wall Street with regulator scrutiny, closures, and a distinct lack of profitability giving investors cold feet.

  Here are the biggest challenges fintech marketers face in 2024 :

  • Market correction : With fewer rounds and longer times between them, securing funds is a major challenge for fintech businesses. F-Prime’s The 2024 State of Fintech Report warns of “a high probability of significant shutdowns in 2024 and 2025,” highlighting the importance of allocating resources and budgets effectively.
  • Contraction : Aside from VC funding decreasing by 64% in 2023, the payments category now attracts a large majority of fintech investment, meaning there’s a smaller share from a smaller pot to go around for everyone else.
  • Competition : The biggest names in finance have navigated heavy disruption from startups and, for the most part, emerged stronger than ever. Meanwhile, fintech is no longer Wall Street’s hottest commodity as investors turn their attention to AI.
  • Regulations : Regulatory scrutiny of fintech intensified in 2023 – particularly in the US – contributing to the “regulation on, risk off” summary of F-Prime’s report.
  • Investor scrutiny : With market and industry challenges intensifying, investors are putting their money behind “safer” ventures that demonstrate real, sustainable profitability, not short-term growth.
  • Customer loyalty : Even in traditional baking and finance, switching is surging as customers seek providers who better meet their needs. To achieve the sustainable growth investors are looking for, fintech startups need to know their ideal customer profile (ICP), tailor their products/services and fintech marketing campaigns to them, and retain them throughout the customer lifecycle.

  

  The good news for fintech marketers is that the market correction is leveling out in 2024. In The 2024 State of Fintech Report, F-Prime says that “heading into 2024, we see the fintech market amid a rebound,” while McKinsey expects fintech revenue to grow “almost three times faster than those in the traditional banking sector between 2023 and 2028.”

  Winning back investor confidence won’t be easy, though. F-Prime acknowledges that investors are prioritising high-performance fintech ventures, particularly those with high gross margins. Fintech marketers need to abandon the growth-at-all-costs mindset and switch to a data-driven optimisation, growth and revenue system.

  7 fintech marketing strategies

  Given the current state of the fintech industry and relatively low levels of investor confidence, fintech marketers’ priority is building a new culture of sustainable profit. This starts with rethinking priorities and switching up the marketing goals to reflect longer-term ambitions.

  So, here are the fintech marketing strategies that matter most in 2024.

  1. Optimise for profitability over growth at all costs

  To progress from the growth-at-all-cost mindset, fintech marketers need to optimise for different KPIs. Instead of flexing metrics like customer growth rate, fintech companies need to take a more balanced approach to measuring sustainable profitability.

  This means holding on to existing customers – and maximising their value – while they acquire new customers. It also means that, instead of trying to make everyone a target customer, you concentrate on targeting the most valuable prospects, even if it results in a smaller overall user base.

  Optimising for profitability starts with putting vanity metrics in their place and pinpointing the KPIs that represent valuable business growth :

  • Gross profit margin
  • Revenue growth rate
  • Cash flow
  • Monthly active user growth (qualify “active” as completing a transaction)
  • Customer acquisition cost
  • Customer retention rate
  • Customer lifetime value
  • Avg. revenue per user
  • Avg. transactions per month
  • Avg. transaction value

  With a more focused acquisition strategy, you can feed these insights into every company level. For example, you can prioritise customer engagement, revenue, retention, and customer service in product development and customer experience (CX).

  To ensure all marketing efforts are pulling towards these KPIs, you need an attribution system that accurately measures the contribution of each channel.

  Marketing attribution (aka multi-touch attribution) should be used to measure every touchpoint in the customer journey and accurately credit them for driving revenue. This helps you allocate the correct budget to the channels and campaigns, adding real value to the business (e.g., social media marketing vs content marketing).

  Example : Mastercard helps a digital bank acquire 10 million high-value customers

  For example, Mastercard helped a digital bank in Latin America achieve sustainable growth beyond customer acquisition. The fintech company wanted to increase revenue through targeted acquisition and profitable engagement metrics.

  Strategies included :

  • A more targeted acquisition strategy for high-value customers
  • Increasing avg. spend per customer
  • Reducing acquisition cost
  • Customer retention

  As a result, Mastercard’s advisors helped this fintech company acquire 10 million new customers in two years. More importantly, they increased customer spending by 28% while reducing acquisition costs by 13%, creating a more sustainable and profitable growth model.

  2. Use web and app analytics to remotivate users before they disengage

  Engagement is the key to customer retention and lifetime value. To prevent valuable customers from disengaging, you need to intervene when they show early signs of losing interest, but they’re still receptive to your incentivisation tactics (promotions, rewards, milestones, etc.).

  By integrating web and app analytics, you can identify churn patterns and pinpoint the sequences of actions that lead to disengaging. For example, you might determine that customers who only log in once a month, engage with one dashboard, or drop below a certain transaction rate are at high risk for churn.

  Using a tool like Matomo for web and app analytics, you can detect these early signs of disengagement. Once you identify your churn risks, you can create triggers to automatically fire re-engagement campaigns. You can also use CRM and session data to personalize campaigns to directly address the cause of disengagement, e.g., valuable content or incentives to increase transaction rates.

  Example : Dynamic Yield fintech re-engagement case study

  In this Dynamic Yield case study, one leading fintech company uses customer spending patterns to identify those most likely to disengage. The company set up automated campaigns with personalised in-app messaging, offering time-bound incentives to increase transaction rates.

  

  With fully automated re-engagement campaigns, this fintech company increased customer retention through valuable engagement and revenue-driving actions.

  3. Identify the path your most valuable customers take

  Why optimise web experiences for everyone when you can tailor the online journey for your most valuable customers ? Use customer segmentation to identify the shared interests and habits of your most valuable customers. You can learn a lot about customers based on where the pages they visit and the content they engage with before taking action.

  Use these insights to optimise funnels that motivate prospects displaying the same customer behaviours as your most valuable customers.

  Get 20-40% more data with Matomo

  One of the biggest issues with Google Analytics and many similar tools is that they produce inaccurate data due to data sampling. Once you collect a certain amount of data, Google reports estimates instead of giving you complete, accurate insights.

  This means you could be basing important business decisions on inaccurate data. Furthermore, when investors are nervous about the uncertainty surrounding fintech, the last thing they want is inaccurate data.

  Matomo is the reliable, accurate alternative to Google Analytics that uses no data sampling whatsoever. You get 100% access to your web analytics data, so you can base every decision on reliable insights. With Matomo, you can access between 20% and 40% more data compared to Google Analytics.

  

  With Matomo, you can confidently unlock the full picture of your marketing efforts and give potential investors insights they can trust.

  Try Matomo for Free

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

  Start for free

  No credit card required

  4. Reduce onboarding dropouts with marketing automation

  Onboarding dropouts kill your chance of getting any return on your customer acquisition cost. You also miss out on developing a long-term relationship with users who fail to complete the onboarding process – a hit on immediate ROI and, potentially, long-term profits.

  The onboarding process also defines the first impression for customers and sets a precedent for their ongoing experience.

  An engaging onboarding experience converts more potential customers into active users and sets them up for repeat engagement and valuable actions.

  Example : Maxio reduces onboarding time by 30% with GUIDEcx

  Onboarding optimisation specialists, GUIDEcx helped Maxio cut six weeks off their onboarding times – a 30% reduction.

  

  With a shorter onboarding schedule, more customers are committing to close the deal during kick-off calls. Meanwhile, by increasing automated tasks by 20%, the company has unlocked a 40% increase in capacity, allowing it to handle more customers at any given time and multiplying its capacity to generate revenue.

  5. Increase the value in TTFV with personalisation

  Time to first value (TTFV) is a key metric for onboarding optimisation, but some actions are more valuable than others. By personalising the experience for new users, you can increase the value of their first action, increasing motivation to continue using your fintech product/service.

  The onboarding process is an opportunity to learn more about new customers and deliver the most rewarding user experience for their particular needs.

  Example : Betterment helps users put their money to work right away

  Betterment has implemented a quick, personalised onboarding system instead of the typical email signup process. The app wants to help new customers put their money to work right away, optimising for the first transaction during onboarding itself.

  

  It personalises the experience by prompting new users to choose their goals, set up the right account for them, and select the best portfolio to achieve their goals. They can complete their first investment within a matter of minutes and professional financial advice is only ever a click away.

  Optimise account signups with Matomo

  If you want to create and optimise a signup process like Betterment, you need an analytics system with a complete conversion rate optimisation (CRO) toolkit. 

  

  Matomo includes all the CRO features you need to optimise user experience and increase signups. With heatmaps, session recordings, form analytics, and A/B testing, you can make data-driven decisions with confidence.

  Try Matomo for Free

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

  Start for free

  No credit card required

  6. Use gamification to drive product engagement

  Gamification can create a more engaging experience and increase motivation for customers to continue using a product. The key is to reward valuable actions, engagement time, goal completions, and the small objectives that build up to bigger achievements.

  Gamification is most effective when used to help individuals achieve goals they’ve set for themselves, rather than the goals of others (e.g., an employer). This helps explain why it’s so valuable to fintech experience and how to implement effective gamification into products and services.

  Example : Credit Karma gamifies personal finance

  Credit Karma helps users improve their credit and build their net worth, subtly gamifying the entire experience.

  

  Users can set their financial goals and link all of their accounts to keep track of their assets in one place. The app helps users “see your wealth grow” with assets, debts, and investments all contributing to their next wealth as one easy-to-track figure.

  

  7. Personalise loyalty programs for retention and CLV

  Loyalty programs tap into similar psychology as gamification to motivate and reward engagement. Typically, the key difference is that – rather than earning rewards for themselves – you directly reward customers for their long-term loyalty.

  That being said, you can implement elements of gamification and personalisation into loyalty programs, too. 

  Example : Bank of America’s Preferred Rewards

  Bank of America’s Preferred Rewards program implements a tiered rewards system that rewards customers for their combined spending, saving, and borrowing activity.

  

  The program incentivises all customer activity with the bank and amplifies the rewards for its most active customers. Customers can also set personal finance goals (e.g., saving for retirement) to see which rewards benefit them the most.

  Conclusion

  Fintech marketing needs to catch up with the new priorities of investors in 2024. The pre-pandemic buzz is over, and investors remain cautious as regulatory scrutiny intensifies, security breaches mount up, and the market limps back into recovery.

  To win investor and consumer trust, fintech companies need to drop the growth-at-all-costs mindset and switch to a marketing philosophy of long-term profitability. This is what investors want in an unstable market, and it’s certainly what customers want from a company that handles their money.

  Unlock the full picture of your marketing efforts with Matomo’s robust features and accurate reporting. Trusted by over 1 million websites, Matomo is chosen for its compliance, accuracy, and powerful features that drive actionable insights and improve decision-making.

   Start your free 21-day trial now. No credit card required.

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