Recherche avancée

Sur d’autres sites (8723)

• Flutter streaming with FFmpeg_flutter_kit not reaching server

  22 juillet 2024, par Julio Cesar Reis

  I'm trying to stream my flutter screen to youtube using FFmpeg flutter kit. Everything seems fine but the output never reaches youtube server.

  


  


  1. log in using Yt flutter package.

     


  


  2. create a broadcast

     


  


  3. create the livestream and bind it to the broadcast

     


  


  4. get the ingestion address through LiveStreamItem.cdn.ingestionInfo.ingestionAddress

     


  


  5. stream the frames saved through FFmpeg :

     


     final String rtmpUrl = "ls.cdn.ingestionInfo.ingestionAddress"

     


     final String command = '-re -i $framePath -c:v libx264 -f flv $rtmpUrl';

     


     await FFmpegKit.execute(command);

     


  


  


  But at the end I get errors like SESSION_NOT_FOUND, or the stream never reaches the server which keeps my broadcast as ready and not active so I can't go live.

  


  I've tried using the ingestionAddress plus the streamName separated by a slash, I've tried the direct stream using rtmp ://x.rtmp.youtube.com/live2/MY_API_KEY but none of that worked.

  


  ERROR LOG :

  


  


  I/flutter (19889) : ffmpeg version n6.0 I/flutter (19889) : Copyright
(c) 2000-2023 the FFmpeg developers I/flutter (19889) : I/flutter
(19889) : built with Android (7155654, based on r399163b1) clang
version 11.0.5
(https://android.googlesource.com/toolchain/llvm-project
87f1315dfbea7c137aa2e6d362dbb457e388158d) I/flutter (19889) :
  
configuration : —cross-prefix=aarch64-linux-android-
—sysroot=/Users/sue/Library/Android/sdk/ndk/22.1.7171670/toolchains/llvm/prebuilt/darwin-x86_64/sysroot
—prefix=/Users/sue/Projects/arthenica/ffmpeg-kit/prebuilt/android-arm64/ffmpeg
—pkg-config=/opt/homebrew/bin/pkg-config —enable-version3 —arch=aarch64 —cpu=armv8-a —target-os=android —enable-neon —enable-asm —enable-inline-asm —ar=aarch64-linux-android-ar —cc=aarch64-linux-android24-clang —cxx=aarch64-linux-android24-clang++ —ranlib=aarch64-linux-android-ranlib —strip=aarch64-linux-android-strip —nm=aarch64-linux-android-nm —extra-libs='-L/Users/sue/Projects/arthenica/ffmpeg-kit/prebuilt/android-arm64/cpu-features/lib
-lndk_compat' —disable-autodetect —enable-cross-compile —enable-pic —enable-jni —enable-optimizations —enable-swscale —disable-static —enable-shared —enable-pthreads —enable-v4l2-m2m —disable-outdev=fbdev —disable-indev=fbdev —enable-small —disable-xmm-clobber-test —disable-debug —enable-lto —disable-neon I/flutter (19889) : libavutil 58. 2.100 / 58. 2.100 I/flutter
(19889) : libavcodec 60. 3.100 / 60. 3.100 I/flutter (19889) :
  
libavformat 60. 3.100 / 60. 3.100 I/flutter (19889) :
  
libavdevice 60. 1.100 / 60. 1.100 I/flutter (19889) :
  
libavfilter 9. 3.100 / 9. 3.100 I/flutter (19889) : libswscale
7. 1.100 / 7. 1.100 I/flutter (19889) : libswresample 4. 10.100 / 4. 10.100 I/flutter (19889) : Input #0, png_pipe, from
'/data/user/0/com.example.poc_stream/cache/frame.png' : I/flutter
(19889) : Duration : I/flutter (19889) : N/A I/flutter (19889) : ,
bitrate : I/flutter (19889) : N/A I/flutter (19889) : I/flutter
(19889) : Stream #0:0 I/flutter (19889) : : Video : png, rgba(pc),
412x771 I/flutter (19889) : , I/flutter (19889) : 25 fps, I/flutter
(19889) : 25 tbr, I/flutter (19889) : 25 tbn I/flutter (19889) :
E/flutter (19889) : [ERROR:flutter/runtime/dart_vm_initializer.cc(41)]
Unhandled Exception : PlatformException(SESSION_NOT_FOUND, Session not
found., null, null) E/flutter (19889) : #0
  
StandardMethodCodec.decodeEnvelope
(package:flutter/src/services/message_codecs.dart:648:7) E/flutter
(19889) : #1 MethodChannel._invokeMethod
(package:flutter/src/services/platform_channel.dart:334:18) E/flutter
(19889) : E/flutter (19889) : #2
  
FFmpegKitFactory.mapToNullableSession
(package:ffmpeg_kit_flutter_min_gpl/src/ffmpeg_kit_factory.dart:76:3)
E/flutter (19889) : E/flutter (19889) : #3
  
FFmpegKitInitializer._processCompleteCallbackEvent.
(package:ffmpeg_kit_flutter_min_gpl/src/ffmpeg_kit_flutter_initializer.dart:213:48)
E/flutter (19889) : E/flutter (19889) :
I/flutter (19889) : Stream mapping : I/flutter (19889) : Stream #0:0 ->
#0:0 I/flutter (19889) : (png (native) -> h264 (libx264)) I/flutter (19889) : I/flutter (19889) : Press [q] to stop, [?] for help I/flutter
(19889) : [libx264 @ 0xb40000736398c190] using cpu capabilities : ARMv8
NEON I/flutter (19889) : [libx264 @ 0xb400007363a92e40] using cpu
capabilities : ARMv8 NEON I/flutter (19889) : [libx264 @
0xb40000736398c190] profile High 4:4:4 Predictive, level 3.0, 4:4:4,
8-bit I/flutter (19889) : [libx264 @ 0xb40000736398c190] 264 - core 164

  


  

  • H.264/MPEG-4 AVC codec - Copyleft 2003-2023 - 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=4 threads=6
lookahead_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=0 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 I/flutter (19889) : Output #0, flv, to
'rtmp ://x.rtmp.youtube.com/live2/x7k6-grm1-z15w-tqb7-akrt' : I/flutter
(19889) : Metadata : I/flutter (19889) : encoder :
I/flutter (19889) : Lavf60.3.100 I/flutter (19889) : I/flutter (19889) :
Stream #0:0 I/flutter (19889) : : Video : h264 ([7][0][0][0] / 0x0007),
yuv444p(tv, unknown/bt709/iec61966-2-1, progressive), 412x771, q=2-31
I/flutter (19889) : , I/flutter (19889) : 25 fps, I/flutter (19889) :
1k tbn I/flutter (19889) : I/flutter (19889) : Metadata : I/flutter
(19889) : encoder : I/flutter (19889) : Lavc60.3.100
libx264 I/flutter (19889) : I/flutter (19889) : Side data :
I/flutter (19889) : I/flutter (19889) : cpb : I/flutter (19889) :
bitrate max/min/avg : 0/0/0 buffer size : 0 I/flutter (19889) :
vbv_delay : N/A I/flutter (19889) : I/flutter (19889) : Instance of
'Statistics' I/flutter (19889) : frame= 0 fps=0.0 q=0.0 size=
    
0kB time=N/A bitrate=N/A speed=N/A I/flutter (19889) : [libx264 @
0xb400007363a92e40] profile High 4:4:4 Predictive, level 3.0, 4:4:4,
8-bit I/flutter (19889) : [libx264 @ 0xb400007363a92e40] 264 - core 164

  


  • H.264/MPEG-4 AVC codec - Copyleft 2003-2023 - 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=4 threads=6
lookahead_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=0 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 I/flutter (19889) : Output #0, flv, to
'rtmp ://x.rtmp.youtube.com/live2/x7k6-grm1-z15w-tqb7-akrt' : I/flutter
(19889) : Metadata : I/flutter (19889) : encoder :
I/flutter (19889) : Lavf60.3.100 I/flutter (19889) : I/flutter (19889) :
Stream #0:0 I/flutter (19889) : : Video : h264 ([7][0][0][0] / 0x0007),
yuv444p(tv, unknown/bt709/iec61966-2-1, progressive), 412x771, q=2-31
I/flutter (19889) : , I/flutter (19889) : 25 fps, I/flutter (19889) :
1k tbn I/flutter (19889) : I/flutter (19889) : Metadata : I/flutter
(19889) : encoder : I/flutter (19889) : Lavc60.3.100
libx264 I/flutter (19889) : I/flutter (19889) : Side data :
I/flutter (19889) : I/flutter (19889) : cpb : I/flutter (19889) :
bitrate max/min/avg : 0/0/0 buffer size : 0 I/flutter (19889) :
vbv_delay : N/A I/flutter (19889) : I/flutter (19889) : Instance of
'Statistics' I/flutter (19889) : frame= 0 fps=0.0 q=0.0 size=
    
0kB time=N/A bitrate=N/A speed=N/A I/flutter (19889) : [flv @
0xb4000074238c1c30] Failed to update header with correct duration.
I/flutter (19889) : [flv @ 0xb4000074238c1c30] Failed to update header
with correct filesize. I/flutter (19889) : Instance of 'Statistics'
I/flutter (19889) : frame= 1 fps=0.0 q=28.0 Lsize= 4kB
time=00:00:00.00 bitrate=N/A speed= 0x I/flutter (19889) :
video:4kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB
muxing overhead : I/flutter (19889) : 8.895621% I/flutter (19889) :
I/flutter (19889) : [libx264 @ 0xb40000736398c190] frame I:1 Avg
QP:14.17 size : 2957 I/flutter (19889) : [libx264 @
0xb40000736398c190] mb I I16..4 : 1.4% 93.3% 5.3% I/flutter (19889) :
[libx264 @ 0xb40000736398c190] 8x8 transform intra:93.3% I/flutter
(19889) : [libx264 @ 0xb40000736398c190] coded y,u,v intra : 3.4% 1.4%
1.7% I/flutter (19889) : [libx264 @ 0xb40000736398c190] i16 v,h,dc,p : 78% 17% 6% 0% I/flutter (19889) : [libx264 @ 0xb40000736398c190] i8
v,h,dc,ddl,ddr,vr,hd,vl,hu : 36% 0% 64% 0% 0% 0% 0% 0% 0%
I/flutter (19889) : [libx264 @ 0xb40000736398c190] i4
v,h,dc,ddl,ddr,vr,hd,vl,hu : 49% 21% 14% 1% 3% 4% 3% 2% 3%
I/flutter (19889) : [libx264 @ 0xb40000736398c190] kb/s:591.40
I/flutter (19889) : ffmpeg version n6.0 I/flutter (19889) : Copyright
(c) 2000-2023 the FFmpeg developers I/flutter (19889) : I/flutter
(19889) : built with Android (7155654, based on r399163b1) clang
version 11.0.5
(https://android.googlesource.com/toolchain/llvm-project 87f1315dfbea7c137aa2e6d362dbb457e388158d) I/flutter (19889) :
    
configuration : —cross-prefix=aarch64-linux-android-
—sysroot=/Users/sue/Library/Android/sdk/ndk/22.1.7171670/toolchains/llvm/prebuilt/darwin-x86_64/sysroot
—prefix=/Users/sue/Projects/arthenica/ffmpeg-kit/prebuilt/android-arm64/ffmpeg
—pkg-config=/opt/homebrew/bin/pkg-config —enable-version3 —arch=aarch64 —cpu=armv8-a —target-os=android —enable-neon —enable-asm —enable-inline-asm —ar=aarch64-linux-android-ar —cc=aarch64-linux-android24-clang —cxx=aarch64-linux-android24-clang++ —ranlib=aarch64-linux-android-ranlib —strip=aarch64-linux-android-strip —nm=aarch64-linux-android-nm —extra-libs='-L/Users/sue/Projects/arthenica/ffmpeg-kit/prebuilt/android-arm64/cpu-features/lib
-lndk_compat' —disable-autodetect —enable-cross-compile —enable-pic —enable-jni —enable-optimizations —enable-swscale —disable-static —enable-shared —enable-pthreads —enable-v4l2-m2m —disable-outdev=fbdev —disable-indev=fbdev —enable-small —disable-xmm-clobber-test —disable-debug —enable-lto —disable-neon I/flutter (19889) : libavutil 58. 2.100 / 58. 2.100 I/flutter
(19889) : libavcodec 60. 3.100 / 60. 3.100 I/flutter (19889) :
    
libavformat 60. 3.100 / 60. 3.100 I/flutter (19889) :
    
libavdevice 60. 1.100 / 60. 1.100 I/flutter (19889) :
    
libavfilter 9. 3.100 / 9. 3.100 I/flutter (19889) : libswscale

  


  


  

  7. 1.100 / 7. 1.100 I/flutter (19889) : libswresample 4. 10.100 / 4. 10.100 I/flutter (19889) : [flv @ 0xb4000074238dac30] Failed to
update header with correct duration. I/flutter (19889) : [flv @
0xb4000074238dac30] Failed to update header with correct filesize.
I/flutter (19889) : Instance of 'Statistics' I/flutter (19889) : frame=
1 fps=0.0 q=28.0 Lsize= 4kB time=00:00:00.00 bitrate=N/A speed=
0x I/flutter (19889) : video:4kB audio:0kB subtitle:0kB other
streams:0kB global headers:0kB muxing overhead : I/flutter (19889) :
8.895621% I/flutter (19889) : I/flutter (19889) : Input #0, png_pipe, from '/data/user/0/com.example.poc_stream/cache/frame.png' : I/flutter
(19889) : Duration : I/flutter (19889) : N/A I/flutter (19889) : ,
bitrate : I/flutter (19889) : N/A I/flutter (19889) : I/flutter
(19889) : Stream #0:0 I/flutter (19889) : : Video : png, rgba(pc),
412x771 I/flutter (19889) : , I/flutter (19889) : 25 fps, I/flutter
(19889) : 25 tbr, I/flutter (19889) : 25 tbn I/flutter (19889) :
I/flutter (19889) : [libx264 @ 0xb400007363a92e40] frame I:1 Avg
QP:14.17 size : 2957 I/flutter (19889) : [libx264 @
0xb400007363a92e40] mb I I16..4 : 1.4% 93.3% 5.3% I/flutter (19889) :
[libx264 @ 0xb400007363a92e40] 8x8 transform intra:93.3% I/flutter
(19889) : [libx264 @ 0xb400007363a92e40] coded y,u,v intra : 3.4% 1.4%
1.7% I/flutter (19889) : [libx264 @ 0xb400007363a92e40] i16 v,h,dc,p : 78% 17% 6% 0% I/flutter (19889) : [libx264 @ 0xb400007363a92e40] i8
v,h,dc,ddl,ddr,vr,hd,vl,hu : 36% 0% 64% 0% 0% 0% 0% 0% 0%
I/flutter (19889) : [libx264 @ 0xb400007363a92e40] i4
v,h,dc,ddl,ddr,vr,hd,vl,hu : 49% 21% 14% 1% 3% 4% 3% 2% 3%
I/flutter (19889) : [libx264 @ 0xb400007363a92e40] kb/s:591.40
I/flutter (19889) : ffmpeg version n6.0 I/flutter (19889) : Copyright
(c) 2000-2023 the FFmpeg developers I/flutter (19889) : I/flutter
(19889) : built with Android (7155654, based on r399163b1) clang
version 11.0.5
(https://android.googlesource.com/toolchain/llvm-project
87f1315dfbea7c137aa2e6d362dbb457e388158d) I/flutter (19889) :
     
configuration : —cross-prefix=aarch64-linux-android-
—sysroot=/Users/sue/Library/Android/sdk/ndk/22.1.7171670/toolchains/llvm/prebuilt/darwin-x86_64/sysroot
—prefix=/Users/sue/Projects/arthenica/ffmpeg-kit/prebuilt/android-arm64/ffmpeg
—pkg-config=/opt/homebrew/bin/pkg-config —enable-version3 —arch=aarch64 —cpu=armv8-a —target-os=android —enable-neon —enable-asm —enable-inline-asm —ar=aarch64-linux-android-ar —cc=aarch64-linux-android24-clang —cxx=aarch64-linux-android24-clang++ —ranlib=aarch64-linux-android-ranlib —strip=aarch64-linux-android-strip —nm=aarch64-linux-android-nm —extra-libs='-L/Users/sue/Projects/arthenica/ffmpeg-kit/prebuilt/android-arm64/cpu-features/lib
-lndk_compat' —disable-autodetect —enable-cross-compile —enable-pic —enable-jni —enable-optimizations —enable-swscale —disable-static —enable-shared —enable-pthreads —enable-v4l2-m2m —disable-outdev=fbdev —disable-indev=fbdev —enable-small —disable-xmm-clobber-test —disable-debug —enable-lto —disable-neon I/flutter (19889) : libavutil 58. 2.100 / 58. 2.100 I/flutter
(19889) : libavcodec 60. 3.100 / 60. 3.100 I/flutter (19889) :
     
libavformat 60. 3.100 / 60. 3.100 I/flutter (19889) :
     
libavdevice 60. 1.100 / 60. 1.100 I/flutter (19889) :
     
libavfilter 9. 3.100 / 9. 3.100 I/flutter (19889) : libswscale

  


  8. 1.100 / 7. 1.100 I/flutter (19889) : libswresample 4. 10.100 / 4. 10.100 I/flutter (19889) : Input #0, png_pipe, from
'/data/user/0/com.example.poc_stream/cache/frame.png' : E/flutter
(19889) : [ERROR:flutter/runtime/dart_vm_initializer.cc(41)] Unhandled
Exception : PlatformException(SESSION_NOT_FOUND, Session not found.,
null, null) E/flutter (19889) : #0
     
StandardMethodCodec.decodeEnvelope
(package:flutter/src/services/message_codecs.dart:648:7) E/flutter
(19889) : #1 MethodChannel._invokeMethod
(package:flutter/src/services/platform_channel.dart:334:18) E/flutter
(19889) : E/flutter (19889) : #2
     
FFmpegKitFactory.mapToNullableSession
(package:ffmpeg_kit_flutter_min_gpl/src/ffmpeg_kit_factory.dart:76:3)
E/flutter (19889) : E/flutter (19889) : #3
     
FFmpegKitInitializer._processCompleteCallbackEvent.
(package:ffmpeg_kit_flutter_min_gpl/src/ffmpeg_kit_flutter_initializer.dart:213:48)
E/flutter (19889) : E/flutter (19889) :
I/flutter (19889) : Duration : I/flutter (19889) : N/A I/flutter
(19889) : , bitrate : I/flutter (19889) : N/A I/flutter (19889) :
I/flutter (19889) : Stream #0:0 I/flutter (19889) : : Video : png,
rgba(pc), 412x771 I/flutter (19889) : , I/flutter (19889) : 25 fps,
I/flutter (19889) : 25 tbr, I/flutter (19889) : 25 tbn I/flutter
(19889) : E/flutter (19889) :
[ERROR:flutter/runtime/dart_vm_initializer.cc(41)] Unhandled
Exception : PlatformException(SESSION_NOT_FOUND, Session not found.,
null, null) E/flutter (19889) : #0
     
StandardMethodCodec.decodeEnvelope
(package:flutter/src/services/message_codecs.dart:648:7) E/flutter
(19889) : #1 MethodChannel._invokeMethod
(package:flutter/src/services/platform_channel.dart:334:18) E/flutter
(19889) : E/flutter (19889) : #2
     
FFmpegKitFactory.mapToNullableSession
(package:ffmpeg_kit_flutter_min_gpl/src/ffmpeg_kit_factory.dart:76:3)
E/flutter (19889) : E/flutter (19889) : #3
     
FFmpegKitInitializer._processCompleteCallbackEvent.
(package:ffmpeg_kit_flutter_min_gpl/src/ffmpeg_kit_flutter_initializer.dart:213:48)
E/flutter (19889) : E/flutter (19889) :
I/flutter (19889) : yzsFZWrI_Iw I/flutter (19889) : currentBc :
yzsFZWrI_Iw I/flutter (19889) : Stream mapping : I/flutter (19889) :
     
Stream #0:0 -> #0:0 I/flutter (19889) : (png (native) -> h264
(libx264)) I/flutter (19889) : I/flutter (19889) : Press [q] to stop,
[?] for help I/flutter (19889) : Stream mapping : I/flutter (19889) :
     
Stream #0:0 -> #0:0 I/flutter (19889) : (png (native) -> h264
(libx264)) I/flutter (19889) : I/flutter (19889) : Press [q] to stop,
[?] for help I/flutter (19889) : [libx264 @ 0xb4000073639665d0] using
cpu capabilities : ARMv8 NEON I/flutter (19889) : [libx264 @
0xb4000073639665d0] profile High 4:4:4 Predictive, level 3.0, 4:4:4,
8-bit I/flutter (19889) : [libx264 @ 0xb4000073639665d0] 264 - core 164

  


  


  

  • H.264/MPEG-4 AVC codec - Copyleft 2003-2023 - 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=4 threads=6
lookahead_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=0 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 I/flutter (19889) : Output #0, flv, to
'rtmp ://x.rtmp.youtube.com/live2/x7k6-grm1-z15w-tqb7-akrt' : I/flutter
(19889) : Metadata : I/flutter (19889) : encoder :
I/flutter (19889) : Lavf60.3.100 I/flutter (19889) : I/flutter (19889) :
Stream #0:0 I/flutter (19889) : : Video : h264 ([7][0][0][0] / 0x0007),
yuv444p(tv, unknown/bt709/iec61966-2-1, progressive), 412x771, q=2-31
I/flutter (19889) : , I/flutter (19889) : 25 fps, I/flutter (19889) :
1k tbn I/flutter (19889) : I/flutter (19889) : Metadata : I/flutter
(19889) : encoder : I/flutter (19889) : Lavc60.3.100
libx264 I/flutter (19889) :

  


  


  


• 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.

  Try Matomo for Free

  21 day free trial. No credit card required.

  
  

  Your email address
  

  Your website address
  

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

  Choose your analytics subdomain
  

  .matomo.cloud

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

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

• How to convert Lagarith .avi videos to MP4 using WinFF

  24 avril 2014, par Moein

  I have a bunch of .avi videos encoded with Lagarith codec. We would like to convert them in to a lossless .MP4 format so that they could be easily played on html. I want to keep video specifications remain the same if it’s possible and just convert the video to MP4.

  I tried WinFF and also some manually written FFmpeg codes [without any specific reference to the Lagarith codec] but they all create a video which is not playable (neither with Windows Player nor with the HTML5 player). Also, FFmpeg returns exceptions like bellow.

  Edit :
  Here is the FFmpeg code generated by WinFF, this code gives me the following Exception :

  "C:\Program Files\WinFF\ffmpeg.exe" -y -i "C:\Desktop\Videos\input.avi" -f mp4 -r 29.97 -vcodec libx264 -preset slow -vf scale=640:480 -b:v 1000k -aspect 4:3 -flags +loop -cmp chroma -b:v 1250k -maxrate 1500k -bufsize 4M -bt 256k -refs 1 -bf 3 -coder 1 -me_method umh -me_range 16 -subq 7 -partitions +parti4x4+parti8x8+partp8x8+partb8x8 -g 250 -keyint_min 25 -level 30 -qmin 10 -qmax 51 -qcomp 0.6 -trellis 2 -sc_threshold 40 -i_qfactor 0.71 -acodec libvo_aacenc -b:a 112k -ar 48000 -ac 2 "C:\Desktop\Videos\output.mp4"

  ---

  

  2nd Edit :
  Here is the entire exception that I receive :

      C:\Users\Desktop\Videos>"c:\Program Files\ffmpeg\bin\ffmpeg.exe" -y -i 300
  
  4_KDSmall-08_02_2013-11_43_34_415.avi -crf 26 -vcodec libx264 -pix_fmt yuv420p -
  
  acodec libvo_aacenc -ac 1 -ar 16000 -b:a 32000 3004_KDSmall-08_02_2013-11_43_34_
  
  415.mp4
  
  ffmpeg version N-62439-g5e379cd Copyright (c) 2000-2014 the FFmpeg developers
  
    built on Apr 13 2014 22:08:47 with gcc 4.8.2 (GCC)
  
    configuration: --enable-gpl --enable-version3 --disable-w32threads --enable-av
  
  isynth --enable-bzlib --enable-fontconfig --enable-frei0r --enable-gnutls --enab
  
  le-iconv --enable-libass --enable-libbluray --enable-libcaca --enable-libfreetyp
  
  e --enable-libgsm --enable-libilbc --enable-libmodplug --enable-libmp3lame --ena
  
  ble-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-l
  
  ibopus --enable-librtmp --enable-libschroedinger --enable-libsoxr --enable-libsp
  
  eex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvo-aa
  
  cenc --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libwavp
  
  ack --enable-libx264 --enable-libx265 --enable-libxavs --enable-libxvid --enable
  
  -zlib
  
    libavutil      52. 76.100 / 52. 76.100
  
    libavcodec     55. 58.103 / 55. 58.103
  
    libavformat    55. 37.100 / 55. 37.100
  
    libavdevice    55. 13.100 / 55. 13.100
  
    libavfilter     4.  4.100 /  4.  4.100
  
    libswscale      2.  6.100 /  2.  6.100
  
    libswresample   0. 18.100 /  0. 18.100
  
    libpostproc    52.  3.100 / 52.  3.100
  
  Input #0, avi, from '3004_KDSmall-08_02_2013-11_43_34_415.avi':
  
    Duration: 00:15:00.00, start: 0.000000, bitrate: 328 kb/s
  
      Stream #0:0: Video: lagarith (LAGS / 0x5347414C), rgb24, 320x244, 326 kb/s,
  
  7.50 tbr, 7.50 tbn, 7.50 tbc
  
  Codec AVOption b (set bitrate (in bits/s)) specified for output file #0 (3004_KD
  
  Small-08_02_2013-11_43_34_415.mp4) has not been used for any stream. The most li
  
  kely reason is either wrong type (e.g. a video option with no video streams) or
  
  that it is a private option of some encoder which was not actually used for any
  
  stream.
  
  [libx264 @ 0000000004288320] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2
  
  AVX
  
  [libx264 @ 0000000004288320] profile High, level 1.2
  
  [libx264 @ 0000000004288320] 264 - core 142 r2409 d6b4e63 - H.264/MPEG-4 AVC cod
  
  ec - Copyleft 2003-2014 - http://www.videolan.org/x264.html - options: cabac=1 r
  
  ef=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_pski
  
  p=1 chroma_qp_offset=-2 threads=12 lookahead_threads=1 sliced_threads=0 nr=0 dec
  
  imate=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=0 weightp=2 keyint=250 keyint_min=
  
  7 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=26.0 qcomp=0.6
  
  0 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
  
  Output #0, mp4, to '3004_KDSmall-08_02_2013-11_43_34_415.mp4':
  
    Metadata:
  
      encoder         : Lavf55.37.100
  
      Stream #0:0: Video: h264 (libx264) ([33][0][0][0] / 0x0021), yuv420p, 320x24
  
  4, q=-1--1, 15360 tbn, 7.50 tbc
  
  Stream mapping:
  
    Stream #0:0 -> #0:0 (lagarith -> libx264)
  
  Press [q] to stop, [?] for help
  
  frame= 1024 fps=0.0 q=27.0 size=      17kB time=00:02:08.80 bitrate=   1.1kbits/
  
  frame= 1947 fps=1943 q=27.0 size=     234kB time=00:04:11.86 bitrate=   7.6kbits
  
  frame= 2695 fps=1794 q=27.0 size=     659kB time=00:05:51.60 bitrate=  15.4kbits
  
  frame= 3971 fps=1983 q=27.0 size=     680kB time=00:08:41.73 bitrate=  10.7kbits
  
  frame= 5256 fps=2101 q=27.0 size=     702kB time=00:11:33.06 bitrate=   8.3kbits
  
  frame= 6074 fps=2023 q=27.0 size=    1018kB time=00:13:22.13 bitrate=  10.4kbits
  
  frame= 6343 fps=1810 q=27.0 size=    1625kB time=00:13:58.00 bitrate=  15.9kbits
  
  frame= 6588 fps=1644 q=27.0 size=    2247kB time=00:14:30.66 bitrate=  21.1kbits
  
  [lagarith @ 0000000004378fc0] Unsupported Lagarith frame type: 0x24
  
  [lagarith @ 00000000043796c0] Unsupported Lagarith frame type: 0x38
  
  [lagarith @ 000000000437a700] Unsupported Lagarith frame type: 0x4c
  
  [lagarith @ 000000000437d740] Unsupported Lagarith frame type: 0x60
  
  [lagarith @ 000000000437e760] Unsupported Lagarith frame type: 0x74
  
  [lagarith @ 0000000007fcb800] Unsupported Lagarith frame type: 0x88
  
  [lagarith @ 0000000007fcc820] Unsupported Lagarith frame type: 0x9c
  
  [lagarith @ 0000000007fd0860] Unsupported Lagarith frame type: 0xb0
  
  Error while decoding stream #0:0: Not yet implemented in FFmpeg, patches welcome
  
  
  
  [lagarith @ 0000000007fd0ce0] Unsupported Lagarith frame type: 0xc4
  
  Error while decoding stream #0:0: Not yet implemented in FFmpeg, patches welcome
  
  
  
  [lagarith @ 0000000004378fc0] Unsupported Lagarith frame type: 0xd8
  
  Error while decoding stream #0:0: Not yet implemented in FFmpeg, patches welcome
  
  
  
  [lagarith @ 00000000043796c0] Unsupported Lagarith frame type: 0xec
  
  frame= 6750 fps=1524 q=-1.0 Lsize=    2881kB time=00:14:59.73 bitrate=  26.2kbit
  
  s/s
  
  video:2802kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing
  
  overhead: 2.842291%
  
  [libx264 @ 0000000004288320] frame I:29    Avg QP: 8.05  size:  2113
  
  [libx264 @ 0000000004288320] frame P:1874  Avg QP:11.85  size:   799
  
  [libx264 @ 0000000004288320] frame B:4847  Avg QP:13.60  size:   270
  
  [libx264 @ 0000000004288320] consecutive B-frames:  1.3%  6.0%  8.6% 84.1%
  
  [libx264 @ 0000000004288320] mb I  I16..4: 82.8%  4.8% 12.4%
  
  [libx264 @ 0000000004288320] mb P  I16..4:  0.2%  0.2%  0.3%  P16..4:  5.5%  4.9
  
  %  5.0%  0.0%  0.0%    skip:84.0%
  
  [libx264 @ 0000000004288320] mb B  I16..4:  0.0%  0.0%  0.1%  B16..8:  2.9%  2.2
  
  %  1.4%  direct: 0.7%  skip:92.7%  L0:55.4% L1:38.8% BI: 5.8%
  
  [libx264 @ 0000000004288320] 8x8 transform intra:13.7% inter:12.4%
  
  [libx264 @ 0000000004288320] coded y,uvDC,uvAC intra: 21.9% 42.5% 34.9% inter: 2
  
  .7% 5.4% 4.8%
  
  [libx264 @ 0000000004288320] i16 v,h,dc,p: 81%  9%  8%  2%
  
  [libx264 @ 0000000004288320] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 20% 14% 49%  2%  3%
  
   4%  3%  2%  2%
  
  [libx264 @ 0000000004288320] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 27% 14% 34%  4%  4%
  
   5%  4%  4%  3%
  
  [libx264 @ 0000000004288320] i8c dc,h,v,p: 72% 12% 12%  4%
  
  [libx264 @ 0000000004288320] Weighted P-Frames: Y:0.1% UV:0.1%
  
  [libx264 @ 0000000004288320] ref P L0: 42.5%  5.1% 29.3% 23.0%
  
  [libx264 @ 0000000004288320] ref B L0: 52.8% 37.8%  9.5%
  
  [libx264 @ 0000000004288320] ref B L1: 82.3% 17.7%
  
  [libx264 @ 0000000004288320] kb/s:25.50

  Any body could help me easily doing this conversion ?