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• What is Behavioural Segmentation and Why is it Important ?

  28 septembre 2023, par Erin — Analytics Tips

  Amidst the dynamic landscape of web analytics, understanding customers has grown increasingly vital for businesses to thrive. While traditional demographic-focused strategies possess merit, they need to uncover the nuanced intricacies of individual online behaviours and preferences. As customer expectations evolve in the digital realm, enterprises must recalibrate their approaches to remain relevant and cultivate enduring digital relationships.

  In this context, the surge of technology and advanced data analysis ushers in a marketing revolution : behavioural segmentation. Businesses can unearth invaluable insights by meticulously scrutinising user actions, preferences and online interactions. These insights lay the foundation for precisely honed, high-performing, personalised campaigns. The era dominated by blanket, catch-all marketing strategies is yielding to an era of surgical precision and tailored engagement. 

  While the insights from user behaviours empower businesses to optimise customer experiences, it’s essential to strike a delicate balance between personalisation and respecting user privacy. Ethical use of behavioural data ensures that the power of segmentation is wielded responsibly and in compliance, safeguarding user trust while enabling businesses to thrive in the digital age.

  What is behavioural segmentation ?

  Behavioural segmentation is a crucial concept in web analytics and marketing. It involves categorising individuals or groups of users based on their online behaviour, actions and interactions with a website. This segmentation method focuses on understanding how users engage with a website, their preferences and their responses to various stimuli. Behavioural segmentation classifies users into distinct segments based on their online activities, such as the pages they visit, the products they view, the actions they take and the time they spend on a site.

  Behavioural segmentation plays a pivotal role in web analytics for several reasons :

  1. Enhanced personalisation :

  Understanding user behaviour enables businesses to personalise online experiences. This aids with delivering tailored content and recommendations to boost conversion, customer loyalty and customer satisfaction.

  2. Improved user experience :

  Behavioural segmentation optimises user interfaces (UI) and navigation by identifying user paths and pain points, enhancing the level of engagement and retention.

  3. Targeted marketing :

  Behavioural segmentation enhances marketing efficiency by tailoring campaigns to user behaviour. This increases the likelihood of interest in specific products or services.

  4. Conversion rate optimisation :

  Analysing behavioural data reveals factors influencing user decisions, enabling website optimisation for a streamlined purchasing process and higher conversion rates.

  5. Data-driven decision-making :

  Behavioural segmentation empowers data-driven decisions. It identifies trends, behavioural patterns and emerging opportunities, facilitating adaptation to changing user preferences and market dynamics.

  6. Ethical considerations :

  Behavioural segmentation provides valuable insights but raises ethical concerns. User data collection and use must prioritise transparency, privacy and responsible handling to protect individuals’ rights.

  The significance of ethical behavioural segmentation will be explored more deeply in a later section, where we will delve into the ethical considerations and best practices for collecting, storing and utilising behavioural data in web analytics. It’s essential to strike a balance between harnessing the power of behavioural segmentation for business benefits and safeguarding user privacy and data rights in the digital age.

  

  Different types of behavioural segments with examples

  1. Visit-based segments : These segments hinge on users’ visit patterns. Analyse visit patterns, compare first-time visitors to returning ones, or compare users landing on specific pages to those landing on others.
     • Example : The real estate website Zillow can analyse how first-time visitors and returning users behave differently. By understanding these patterns, Zillow can customise its website for each group. For example, they can highlight featured listings and provide navigation tips for first-time visitors while offering personalised recommendations and saved search options for returning users. This could enhance user satisfaction and boost the chances of conversion.
  2. Interaction-based segments : Segments can be created based on user interactions like special events or goals completed on the site.
     • Example : Airbnb might use this to understand if users who successfully book accommodations exhibit different behaviours than those who don’t. This insight could guide refinements in the booking process for improved conversion rates.
  3. Campaign-based segments : Beyond tracking visit numbers, delve into usage differences of visitors from specific sources or ad campaigns for deeper insights.
     • Example : Nike might analyse user purchase behaviour from various traffic sources (referral websites, organic, direct, social media and ads). This informs marketing segmentation adjustments, focusing on high-performance channels. It also customises the website experience for different traffic sources, optimising content, promotions and navigation. This data-driven approach could boost user experiences and maximise marketing impact for improved brand engagement and sales conversions.
  4. Ecommerce segments : Separate users based on purchases, even examining the frequency of visits linked to specific products. Segment heavy users versus light users. This helps uncover diverse customer types and browsing behaviours.
     • Example : Amazon could create segments to differentiate between visitors who made purchases and those who didn’t. This segmentation could reveal distinct usage patterns and preferences, aiding Amazon in tailoring its recommendations and product offerings.
  5. Demographic segments : Build segments based on browser language or geographic location, for instance, to comprehend how user attributes influence site interactions.
     • Example : Netflix can create user segments based on demographic factors like geographic location to gain insight into how a visitor’s location can influence content preferences and viewing behaviour. This approach could allow for a more personalised experience.
  6. Technographic segments : Segment users by devices or browsers, revealing variations in site experience and potential platform-specific issues or user attitudes.
     • Example : Google could create segments based on users’ devices (e.g., mobile, desktop) to identify potential issues in rendering its search results. This information could be used to guide Google in providing consistent experiences regardless of device.

  

  The importance of ethical behavioural segmentation

  Respecting user privacy and data protection is crucial. Matomo offers features that align with ethical segmentation practices. These include :

  • Anonymization : Matomo allows for data anonymization, safeguarding individual identities while providing valuable insights.
  • GDPR compliance : Matomo is GDPR compliant, ensuring that user data is handled following European data protection regulations.
  • Data retention and deletion : Matomo enables businesses to set data retention policies and delete user data when it’s no longer needed, reducing the risk of data misuse.
  • Secured data handling : Matomo employs robust security measures to protect user data, reducing the risk of data breaches.

  Real-world examples of ethical behavioural segmentation :

  1. Content publishing : A leading news website could utilise data anonymization tools to ethically monitor user engagement. This approach allows them to optimise content delivery based on reader preferences while ensuring the anonymity and privacy of their target audience.
  2. Non-profit organisations : A charity organisation could embrace granular user control features. This could be used to empower its donors to manage their data preferences, building trust and loyalty among supporters by giving them control over their personal information.

  

  Examples of effective behavioural segmentation

  Companies are constantly using behavioural insights to engage their audiences effectively. In this section, we’ll delve into real-world examples showcasing how top companies use behavioural segmentation to enhance their marketing efforts.

  

  1. Coca-Cola’s behavioural insights for marketing strategy : Coca-Cola employs behavioural segmentation to evaluate its advertising campaigns. Through analysing user engagement across TV commercials, social media promotions and influencer partnerships, Coca-Cola’s marketing team can discover that video ads shared by influencers generate the highest ROI and web traffic.

     This insight guides the reallocation of resources, leading to increased sales and a more effective advertising strategy.

  2. eBay’s custom conversion approach : eBay excels in conversion optimisation through behavioural segmentation. When users abandon carts, eBay’s dynamic system sends personalised email reminders featuring abandoned items and related recommendations tailored to user interests and past purchase decisions.

     This strategy revives sales, elevates conversion rates and sparks engagement. eBay’s adeptness in leveraging behavioural insights transforms user experience, steering a customer journey toward conversion.

  3. Sephora’s data-driven conversion enhancement : Data analysts can use Sephora’s behavioural segmentation strategy to fuel revenue growth through meticulous data analysis. By identifying a dedicated subset of loyal customers who exhibit a consistent preference for premium skincare products, data analysts enable Sephora to customise loyalty programs.

     These personalised rewards programs provide exclusive discounts and early access to luxury skincare releases, resulting in heightened customer engagement and loyalty. The data-driven precision of this approach directly contributes to amplified revenue from this specific customer segment.

  Examples of the do’s and don’ts of behavioural segmentation 

  

  Behavioural segmentation is a powerful marketing and data analysis tool, but its success hinges on ethical and responsible practices. In this section, we will explore real-world examples of the do’s and don’ts of behavioural segmentation, highlighting companies that have excelled in their approach and those that have faced challenges due to lapses in ethical considerations.

  Do’s of behavioural segmentation :

  • Personalised messaging :
    • Example : Spotify
      • Spotify’s success lies in its ability to use behavioural data to curate personalised playlists and user recommendations, enhancing its music streaming experience.
  • Transparency :
    • Example : Basecamp
      • Basecamp’s transparency in sharing how user data is used fosters trust. They openly communicate data practices, ensuring users are informed and comfortable.
  • Anonymization
    • Example : Matomo’s anonymization features
      • Matomo employs anonymization features to protect user identities while providing valuable insights, setting a standard for responsible data handling.
  • Purpose limitation :
    • Example : Proton Mail
      • Proton Mail strictly limits the use of user data to email-related purposes, showcasing the importance of purpose-driven data practices.
  • Dynamic content delivery : 
    • Example : LinkedIn
      • LinkedIn uses behavioural segmentation to dynamically deliver job recommendations, showcasing the potential for relevant content delivery.
  • Data security :
    • Example : Apple
      • Apple’s stringent data security measures protect user information, setting a high bar for safeguarding sensitive data.
  • Adherence to regulatory compliance : 
    • Example : Matomo’s regulatory compliance features
      • Matomo’s regulatory compliance features ensure that businesses using the platform adhere to data protection regulations, further promoting responsible data usage.

  Don’ts of behavioural segmentation :

  • Ignoring changing regulations
    • Example : Equifax
      • Equifax faced major repercussions for neglecting evolving regulations, resulting in a data breach that exposed the sensitive information of millions.
  • Sensitive attributes
    • Example : Twitter
      • Twitter faced criticism for allowing advertisers to target users based on sensitive attributes, sparking concerns about user privacy and data ethics.
  • Data sharing without consent
    • Example : Meta & Cambridge Analytica
      • The Cambridge Analytica scandal involving Meta (formerly Facebook) revealed the consequences of sharing user data without clear consent, leading to a breach of trust.
  • Lack of control
    • Example : Uber
      • Uber faced backlash for its poor data security practices and a lack of control over user data, resulting in a data breach and compromised user information.
  • Don’t be creepy with invasive personalisation
    • Example : Offer Moment
      • Offer Moment’s overly invasive personalisation tactics crossed ethical boundaries, unsettling users and eroding trust.

  These examples are valuable lessons, emphasising the importance of ethical and responsible behavioural segmentation practices to maintain user trust and regulatory compliance in an increasingly data-driven world.

  Continue the conversation

  Diving into customer behaviours, preferences and interactions empowers businesses to forge meaningful connections with their target audience through targeted marketing segmentation strategies. This approach drives growth and fosters exceptional customer experiences, as evident from the various common examples spanning diverse industries.

  In the realm of ethical behavioural segmentation and regulatory compliance, Matomo is a trusted partner. Committed to safeguarding user privacy and data integrity, our advanced web analytics solution empowers your business to harness the power of behavioral segmentation, all while upholding the highest standards of compliance with stringent privacy regulations.

  To gain deeper insight into your visitors and execute impactful marketing campaigns, explore how Matomo can elevate your efforts. Try Matomo free for 21-days, no credit card required. 

• ffmpeg command not working from bash script but working from command line [duplicate]

  6 octobre 2023, par SamTech

  I wrote a bash script that is generating command to encode video and create HLS playlist.

  


  Here is the script. To make it short and clear, i fill variables with hard-coded values.

  


  #!/bin/bash

# below variables are generated from some other script

basic="-hide_banner -y -i Sample.mp4 -profile:v main -crf 20 -sc_threshold 0 -g 50 -keyint_min 50 -hls_time 6"

renditions="-c:v:0 h264 -filter:v:0 scale=w=426:h=240:force_original_aspect_ratio=decrease -b:v:0 128k -maxrate:v:0 136k -bufsize:v:0 192k -c:v:1 h264 -filter:v:1 scale=w=640:h=360:force_original_aspect_ratio=decrease -b:v:1 256k -maxrate:v:1 273k -bufsize:v:1 384k -b:a 128k -c:a aac -ar 48000 -ac 2"

mapping="-map 0:v -map 0:v -map 0:a"
stream_map="-var_stream_map \"v:0,agroup:audio v:1,agroup:audio a:0,agroup:audio\""

hls="-hls_list_size 0 -f hls -hls_playlist_type vod -hls_segment_type mpegts -master_pl_name master.m3u8 -y %v_seg.m3u8"

# show final command
echo "Command:"
echo "ffmpeg ${basic} ${renditions} ${mapping} ${stream_map} ${hls}"

# execute command
ffmpeg ${basic} ${renditions} ${mapping} ${stream_map} ${hls}


  


  Here is complete output from the script, along with the error it is giving.

  


  [samtech@SAM tmp]$ ./hls-debug.sh 
Command:
ffmpeg -hide_banner -y -i Sample.mp4 -profile:v main -crf 20 -sc_threshold 0 -g 50 -keyint_min 50 -hls_time 10 -c:v:0 h264 -filter:v:0 scale=w=426:h=240:force_original_aspect_ratio=decrease -b:v:0 128k -maxrate:v:0 136k -bufsize:v:0 192k -c:v:1 h264 -filter:v:1 scale=w=640:h=360:force_original_aspect_ratio=decrease -b:v:1 256k -maxrate:v:1 273k -bufsize:v:1 384k -b:a 128k -c:a aac -ar 48000 -ac 2 -map 0:v -map 0:v -map 0:a -var_stream_map "v:0,agroup:audio v:1,agroup:audio a:0,agroup:audio" -hls_list_size 0 -f hls -hls_playlist_type vod -hls_segment_type mpegts -master_pl_name master.m3u8 -y %v_seg.m3u8
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x562fabc34480] Could not find codec parameters for stream 0 (Video: h264 (avc1 / 0x31637661), none, 640x480, 997 kb/s): unspecified pixel format
Consider increasing the value for the 'analyzeduration' (0) and 'probesize' (5000000) options
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'Sample.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf60.3.100
  Duration: 00:00:31.00, start: 0.002000, bitrate: 1146 kb/s
  Stream #0:0[0x1](und): Video: h264 (avc1 / 0x31637661), none, 640x480, 997 kb/s, SAR 1:1 DAR 4:3, 25 fps, 25 tbr, 12800 tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
  Stream #0:1[0x2](und): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, 5.1, fltp, 383 kb/s (default)
    Metadata:
      handler_name    : SoundHandler
      vendor_id       : [0][0][0][0]
[NULL @ 0x562fabc69680] Unable to find a suitable output format for 'v:1,agroup:audio'
v:1,agroup:audio: Invalid argument


  


  And here is output when i copy command and run in terminal

  


  [samtech@SAM tmp]$ ffmpeg -hide_banner -y -i Sample.mp4 -profile:v main -crf 20 -sc_threshold 0 -g 50 -keyint_min 50 -hls_time 10 -c:v:0 h264 -filter:v:0 scale=w=426:h=240:force_original_aspect_ratio=decrease -b:v:0 128k -maxrate:v:0 136k -bufsize:v:0 192k -c:v:1 h264 -filter:v:1 scale=w=640:h=360:force_original_aspect_ratio=decrease -b:v:1 256k -maxrate:v:1 273k -bufsize:v:1 384k -b:a 128k -c:a aac -ar 48000 -ac 2 -map 0:v -map 0:v -map 0:a -var_stream_map "v:0,agroup:audio v:1,agroup:audio a:0,agroup:audio" -hls_list_size 0 -f hls -hls_playlist_type vod -hls_segment_type mpegts -master_pl_name master.m3u8 -y %v_seg.m3u8
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x55eeed0c7500] Could not find codec parameters for stream 0 (Video: h264 (avc1 / 0x31637661), none, 640x480, 997 kb/s): unspecified pixel format
Consider increasing the value for the 'analyzeduration' (0) and 'probesize' (5000000) options
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'Sample.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf60.3.100
  Duration: 00:00:31.00, start: 0.002000, bitrate: 1146 kb/s
  Stream #0:0[0x1](und): Video: h264 (avc1 / 0x31637661), none, 640x480, 997 kb/s, SAR 1:1 DAR 4:3, 25 fps, 25 tbr, 12800 tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
  Stream #0:1[0x2](und): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, 5.1, fltp, 383 kb/s (default)
    Metadata:
      handler_name    : SoundHandler
      vendor_id       : [0][0][0][0]
Stream mapping:
  Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))
  Stream #0:0 -> #0:1 (h264 (native) -> h264 (libx264))
  Stream #0:1 -> #0:2 (aac (native) -> aac (native))
Press [q] to stop, [?] for help
[libx264 @ 0x55eeed0ff5c0] using SAR=1/1
[libx264 @ 0x55eeed0ff5c0] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
[libx264 @ 0x55eeed0ff5c0] profile Main, level 1.3, 4:2:0, 8-bit
[libx264 @ 0x55eeed0ff5c0] 264 - core 164 r3095 baee400 - H.264/MPEG-4 AVC codec - Copyleft 2003-2022 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x1:0x111 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=0 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=7 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=50 keyint_min=26 scenecut=0 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=20.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 vbv_maxrate=136 vbv_bufsize=192 crf_max=0.0 nal_hrd=none filler=0 ip_ratio=1.40 aq=1:1.00
[libx264 @ 0x55eeed106f40] using SAR=1/1
[libx264 @ 0x55eeed106f40] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
[libx264 @ 0x55eeed106f40] profile Main, level 2.1, 4:2:0, 8-bit
[libx264 @ 0x55eeed106f40] 264 - core 164 r3095 baee400 - H.264/MPEG-4 AVC codec - Copyleft 2003-2022 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x1:0x111 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=0 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=11 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=50 keyint_min=26 scenecut=0 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=20.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 vbv_maxrate=273 vbv_bufsize=384 crf_max=0.0 nal_hrd=none filler=0 ip_ratio=1.40 aq=1:1.00
[mpegts @ 0x55eef094a180] frame size not set
Output #0, hls, to '%v_seg.m3u8':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf60.3.100
  Stream #0:0(und): Video: h264, yuv420p(tv, progressive), 320x240 [SAR 1:1 DAR 4:3], q=2-31, 128 kb/s, 25 fps, 90k tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
      encoder         : Lavc60.3.100 libx264
    Side data:
      cpb: bitrate max/min/avg: 136000/0/128000 buffer size: 192000 vbv_delay: N/A
  Stream #0:1(und): Video: h264, yuv420p(tv, progressive), 480x360 [SAR 1:1 DAR 4:3], q=2-31, 256 kb/s, 25 fps, 90k tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
      encoder         : Lavc60.3.100 libx264
    Side data:
      cpb: bitrate max/min/avg: 273000/0/256000 buffer size: 384000 vbv_delay: N/A
  Stream #0:2(und): Audio: aac (LC), 48000 Hz, stereo, fltp, 128 kb/s (default)
    Metadata:
      handler_name    : SoundHandler
      vendor_id       : [0][0][0][0]
      encoder         : Lavc60.3.100 aac
[hls @ 0x55eeed0fc700] Opening '0_seg0.ts' for writing10.98 bitrate=N/A dup=370 drop=0 speed=11.2x    
[hls @ 0x55eeed0fc700] Opening '1_seg0.ts' for writing
[hls @ 0x55eeed0fc700] Opening '2_seg0.ts' for writing
[hls @ 0x55eeed0fc700] Opening '0_seg1.ts' for writing17.53 bitrate=N/A dup=370 drop=0 speed=11.8x    
[hls @ 0x55eeed0fc700] Opening '1_seg1.ts' for writing
[hls @ 0x55eeed0fc700] Opening '2_seg1.ts' for writing
[hls @ 0x55eeed0fc700] Opening '0_seg2.ts' for writing28.75 bitrate=N/A dup=370 drop=0 speed=11.6x    
[hls @ 0x55eeed0fc700] Opening '1_seg2.ts' for writing
[hls @ 0x55eeed0fc700] Opening '2_seg2.ts' for writing
[hls @ 0x55eeed0fc700] Opening '0_seg3.ts' for writing
[hls @ 0x55eeed0fc700] Opening '0_seg.m3u8' for writing
[hls @ 0x55eeed0fc700] Opening '1_seg3.ts' for writing
[hls @ 0x55eeed0fc700] Opening '1_seg.m3u8' for writing
[hls @ 0x55eeed0fc700] Opening '2_seg3.ts' for writing
[hls @ 0x55eeed0fc700] Opening '2_seg.m3u8' for writing
[hls @ 0x55eeed0fc700] Opening 'master.m3u8' for writing
frame=  775 fps=264 q=-1.0 Lq=-1.0 size=N/A time=00:00:30.97 bitrate=N/A dup=370 drop=0 speed=10.6x    
video:1227kB audio:489kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
[libx264 @ 0x55eeed0ff5c0] frame I:16    Avg QP:17.53  size:  9672
[libx264 @ 0x55eeed0ff5c0] frame P:328   Avg QP:20.42  size:   690
[libx264 @ 0x55eeed0ff5c0] frame B:431   Avg QP:18.51  size:   125
[libx264 @ 0x55eeed0ff5c0] consecutive B-frames: 20.6% 13.2%  7.4% 58.8%
[libx264 @ 0x55eeed0ff5c0] mb I  I16..4: 33.1%  0.0% 66.9%
[libx264 @ 0x55eeed0ff5c0] mb P  I16..4:  0.8%  0.0%  2.4%  P16..4: 15.3%  7.5%  4.3%  0.0%  0.0%    skip:69.7%
[libx264 @ 0x55eeed0ff5c0] mb B  I16..4:  0.1%  0.0%  0.0%  B16..8: 10.8%  1.7%  0.4%  direct: 0.4%  skip:86.6%  L0:40.4% L1:51.0% BI: 8.7%
[libx264 @ 0x55eeed0ff5c0] coded y,uvDC,uvAC intra: 70.8% 80.4% 61.6% inter: 3.8% 4.7% 0.5%
[libx264 @ 0x55eeed0ff5c0] i16 v,h,dc,p: 17% 39% 23% 21%
[libx264 @ 0x55eeed0ff5c0] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 15% 26% 18%  7%  7%  6%  7%  6%  7%
[libx264 @ 0x55eeed0ff5c0] i8c dc,h,v,p: 44% 31% 14% 11%
[libx264 @ 0x55eeed0ff5c0] Weighted P-Frames: Y:0.0% UV:0.0%
[libx264 @ 0x55eeed0ff5c0] ref P L0: 73.7% 16.3%  7.4%  2.6%
[libx264 @ 0x55eeed0ff5c0] ref B L0: 94.3%  4.9%  0.9%
[libx264 @ 0x55eeed0ff5c0] ref B L1: 98.3%  1.7%
[libx264 @ 0x55eeed0ff5c0] kb/s:112.27
[libx264 @ 0x55eeed106f40] frame I:16    Avg QP:15.14  size: 18394
[libx264 @ 0x55eeed106f40] frame P:260   Avg QP:19.00  size:  1507
[libx264 @ 0x55eeed106f40] frame B:499   Avg QP:18.80  size:   269
[libx264 @ 0x55eeed106f40] consecutive B-frames:  9.7% 11.4%  6.2% 72.8%
[libx264 @ 0x55eeed106f40] mb I  I16..4: 36.5%  0.0% 63.5%
[libx264 @ 0x55eeed106f40] mb P  I16..4:  1.2%  0.0%  3.1%  P16..4: 15.5%  7.1%  3.2%  0.0%  0.0%    skip:69.9%
[libx264 @ 0x55eeed106f40] mb B  I16..4:  0.1%  0.0%  0.1%  B16..8: 11.4%  1.6%  0.3%  direct: 0.4%  skip:86.2%  L0:39.1% L1:53.5% BI: 7.4%
[libx264 @ 0x55eeed106f40] coded y,uvDC,uvAC intra: 65.1% 75.8% 54.1% inter: 3.1% 4.5% 0.3%
[libx264 @ 0x55eeed106f40] i16 v,h,dc,p: 35% 27% 12% 26%
[libx264 @ 0x55eeed106f40] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 18% 25% 15%  7%  8%  7%  8%  6%  6%
[libx264 @ 0x55eeed106f40] i8c dc,h,v,p: 46% 29% 14% 11%
[libx264 @ 0x55eeed106f40] Weighted P-Frames: Y:0.0% UV:0.0%
[libx264 @ 0x55eeed106f40] ref P L0: 71.6% 15.9%  8.6%  3.9%
[libx264 @ 0x55eeed106f40] ref B L0: 93.9%  4.6%  1.5%
[libx264 @ 0x55eeed106f40] ref B L1: 98.3%  1.7%
[libx264 @ 0x55eeed106f40] kb/s:211.68
[aac @ 0x55eeed1009c0] Qavg: 401.380


  


  What the wrong is going with that script ?

  


  I am pulling my hairs from last few hours because of it, anyone help please.

  


• 5-Step Conversion Rate Optimisation Checklist

  27 octobre 2023, par Erin

  Did you know the average conversion rate across e-commerce businesses in August 2023 was 2.03% ? In the past year, conversion rates have increased by 0.39%.

  Make no mistake. Just because conversion rates are higher this year doesn’t make it any easier to convert visitors.

  Cracking the secrets to improving conversion rates is crucial to running a successful website or business.

  Your site is the digital headquarters all of your marketing efforts funnel toward. With every visitor comes an opportunity to convert them into a lead (or sale).

  Keep reading if you want to improve your lead generation or convert more visitors into customers. In this article, we’ll break down a simple five-step conversion rate optimisation checklist you need to follow to maximise your conversions.

  What is conversion rate optimisation ?

  Before we dive into the steps you need to follow to optimise your conversions, let’s back up and talk conversion rate optimisation.

  

  Conversion rate optimisation, or CRO for short, is the process of increasing the number of website visitors who take a specific action. 

  In most cases, this means :

  • Turning more visitors into leads by getting them to join an email list
  • Convincing a visitor to fill out a contact form for a consultation
  • Converting a visitor into a paying customer by purchasing a product

  However, conversion rate optimisation can be used for any action you want someone to take on your site. That could be downloading a free guide, clicking on a specific link, commenting on a blog post or sharing your website with a friend.

  Why following a CRO checklist is important

  Conversion rate optimisation is both a valuable practice and an absolute necessity for any business or marketer. While it can be a bit complex, especially when you start diving into A/B testing, there are a variety of advantages :

  Get the most out of your efforts

  When all is said and done, if you can’t convert the traffic already coming to your site, dumping a ton of time and resources into traffic generation (whether paid or organic) won’t solve your problem.

  Instead, you need to look at the root of the problem : your conversion rate.

  By doubling down on conversions and following a conversion rate optimisation checklist, you’ll get the greatest result for the effort you’re already putting into your site.

  Increase audience size

  To increase your audience size, you need to increase your traffic, right ? Not exactly.

  While your audience may be considered people who have seen your content or follow you on social media, a high-value audience is one you can market to directly on an ongoing basis.

  Your website gives you the playground to convert visitors into high-value audience members. This is done by creating conversion-focused email signup forms and optimising your website for sale conversions.

  Generate more sales

  Boosting sales through CRO is the core objective. By optimising product pages, simplifying the checkout process, and employing persuasive strategies, you can systematically increase your sales and maximise the value of your existing traffic.

  Reduce customer acquisition costs (CAC)

  With conversion optimisation, you can convert a higher percentage of your website visitors into paid customers. Even if you don’t spend more on acquiring new customers, you’ll be able to generate more sales overall. 

  The result is that your customer acquisition costs will drop, allowing you to increase your total acquisitions to your customer base.

  Improve profitability

  While reduced customer acquisition costs mean you can pour more money into customer acquisition at a cheaper rate, you could simply maintain your costs while driving sales, resulting in increased profitability.

  If you can spend the same amount on acquisition but bring in 20% more customers (due to using a CRO checklist), your profit margins will automatically increase.

  5-step CRO checklist

  To double down on conversion rate optimisation, you need to follow a checklist to ensure you don’t miss any major optimisation opportunities.

  The checklist below is designed to help you systematically optimise your website, ensuring you make the most of your traffic by continuously refining its performance.

  1. Forms

  Analysing and optimising your website’s forms is crucial for enhancing conversion rates. Understanding how visitors interact with your forms can uncover pain points and help you streamline the conversion process.

  Ever wonder where your visitors drop off on your forms ? It could be due to lengthy, time-consuming fields or overly complex forms, leading to a frustrating user experience and lower conversion rate. Whatever the reason, you need the right tools to uncover the root of the issue.

  By leveraging Form Analytics, you gain powerful insights into user behaviour and can identify areas where people may encounter difficulties.

  Form Analytics provides the insights to discover :

  • Average time spent on each field : This metric helps you understand where users may be struggling or spending too much time. By optimising these fields, you can streamline the form, reduce user frustration and increase conversions.
  • Identifying drop-off points : Understanding where users drop off provides insights into which form fields may need improvement. Addressing these drop-off points can increase the conversion rate.
  • Unneeded fields with a high blank submission rate : Discovering fields left blank upon submission can highlight areas for simplification. By eliminating unnecessary fields, you can create more concise and user-friendly forms that may entice more visitors to engage with the form.

  

  Hear first-hand how Concrete CMS achieve 3x more leads with insights from Form Analytics. 

  These data-driven insights empower you to optimise your forms, remove guesswork and settle debates about form design. By fine-tuning and streamlining your forms, you can ensure a smoother path to conversion and maximise your success in converting more visitors.

  Try Matomo for Free

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

  Start for free

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  2. Copywriting

  Another crucial element you need to test is your copywriting. Your copywriting is the foundation of your entire website. It helps communicate to your audience what you have to offer and why they need to take action.

  You need to ensure you have a good offer. This isn’t just the product or service you’re putting out there. It’s the complete package. It includes the product, rewards, a unique guarantee, customer service, packaging and promotions.

  Start testing your copy with your headlines. Look at the headers and test different phrases to convert more potential customers into paying customers.

  Here are a few tips to optimise your copy for more conversions :

  • Ensure copy is relevant to your headline and vice versa.
  • Write short words, short sentences and short paragraphs.
  • Use bullets and subheaders to make the copy easy to skim.
  • Don’t focus too heavily on optimising for search engines (SEO). Instead, write for humans.
  • Focus on writing about benefits, not features.
  • Write about how your offer solves the pain points of your audience.

  You can test your copy in several areas once you’ve begun testing your headers – your subheaders, body copy, signup forms and product pages (if you’re e-commerce).

  3. Media : videos and audio

  Next, testing out different media types is crucial. This means incorporating videos and audio into your content.

  Don’t just take a random guess by throwing stuff against the wall, hoping it sticks. Instead, you should use data to develop impactful content.

  Look at your Media Analytics reports in your website analytics solution and see what media people spend the most time on. See what kind of video or audio content already impacts conversions.

  

  Humans are highly visual. You should craft your content so it’s easy to digest. Instead of covering your website in huge chunks of text, split up your copy with engaging content like videos.

  High-quality videos and audio recordings allow your readers to consume more of your content easily, and help persuade them to take action on your site.

  4. Calls to action (CTA)

  This brings us to our next point : your call to action (CTA).

  Are you trying to convert more prospects into leads ? Want to turn more leads into customers ? Trying to get more email subscribers ? Or do you want to generate more sales every month ?

  You could write the most compelling offer flooded with beautiful images, videos and CRO tactics. But your efforts will go to waste if you don’t include a compelling CTA.

  

  Here are a few tips to optimise your CTAs :

  • Keep them congruent on a single web page (e.g., don’t sell a hat and a sweater on the same page, as it can be confusing).
  • Place at least one CTA above the fold on your web pages.
  • Include benefits in your CTA. Rather than “Buy Now,” try “Buy Now to Get 30% Off.”
  • It’s better to be clear and concise than too fancy and unique.

  Optimising your call to action isn’t just about your copywriting. It’s also about design. Test different fonts, sizes, and visual elements like borders, icons and background colours.

  5. Web design

  Your site design will impact how well your visitors convert. You could have incredible copywriting, but if your site is laid out poorly, it will drive people away.

  You must ensure your copy and visual content fit your website design well.

  The first place you need to start with your site is your homepage design.

  Your site design consists of the theme or template, colour scheme and other visual elements that can be optimised to improve conversions.

  Here are a few tips to keep in mind when optimising your website design :

  • Use a colour scheme that’s pleasant rather than too distracting or extreme.
  • Ensure your design doesn’t remove the text’s clarity but makes it easier to read.
  • When in doubt, start with black text on a white background (the opposite rarely works).
  • Keep plenty of whitespace in between design elements.
  • When in doubt about font size, start by testing a larger size.
  • Design mobile-first rather than desktop-first.

  Finally, it’s critical to ensure your website is easy to navigate. Good design is all about the user experience. Is it easy to find what they’re looking for ? Simplify steps to reduce the need to click, and your conversions will increase.

  Start optimising your website for conversions

  If you’re looking to get the most out of the traffic on your site by converting more visitors into leads or customers, following this 5-step CRO checklist will help you take steps in the right direction.

  Just remember conversion rate optimisation is an ongoing process. It’s not a one-time deal. To succeed, you need to test quickly, analyse the impact and do more of what’s working and less of what’s not.

  To optimise your website for better conversion rates, you need the right tools that provide accurate data and insights to effectively increase conversions. With Matomo, you gain access to web analytics and CRO features like Form Analytics and Media Analytics, designed to enhance your conversion rate optimisation efforts. 

  Try Matomo free for 21 days and take your conversion rate to the next level. No credit card required.

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