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• SOLVED - FFMPEG 'Fontconfig error : Cannot load default config file' error Windows

  27 février 2019, par Merel

  I am trying to make a short video in FFMPEG, where a word stays on screen for the duration of the video (0.5s). My FFMPEG code looks like this :

  ffmpeg -f lavfi -i color=c=white:s=320x240:d=0.5 -vf "drawtext=fontfile= ‘c\:\Windows\fonts\calibri.ttf':fontsize=18:  fontcolor=black:x=(w-text_w)/2:y=(h-text_h)/2:text='word'" output.mp4

  However, I keep getting the following error (see below for full output) :

  Fontconfig error: Cannot load default config file 
  
  [Parsed_drawtext_0 @ 000001c2918cef00] Using "C:/Windows/fonts/mingliub.ttc"

  I figured it had something to do with the path to the font file. I also tried copying the font file to my FFMPEG map and map the font path to the FFMPEG directory :

  ffmpeg -f lavfi -i color=c=white:s=320x240:d=0.5 -vf
  
  "drawtext=fontfile=‘C:\FFMPEG\bin\calibri.ttf':fontsize=18: 
  
  fontcolor=black:x=(w-text_w)/2:y=(h-text_h)/2:text='word'" output.mp4'

  This doesn’t work either. I do get an output video.mp4 video, but the font is wrong. Here is the full output I get. It is the same for both code examples above :

   c:\FFMPEG\bin>ffmpeg -f lavfi -i color=c=white:s=320x240:d=0.5 -vf "drawtext=fontfile= ‘c\\:\\\Windows\\\fonts\\\calibri.ttf':fontsize=18:  fontcolor=black:x=(w-text_w)/2:y=(h-text_h)/2:text='word'" output.mp4
  
  ffmpeg version N-93234-g2e67f751b5 Copyright (c) 2000-2019 the FFmpeg developers
  
    built with gcc 8.2.1 (GCC) 20190212
  
    configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt
  
    libavutil      56. 26.100 / 56. 26.100
  
    libavcodec     58. 47.102 / 58. 47.102
  
    libavformat    58. 26.101 / 58. 26.101
  
    libavdevice    58.  6.101 / 58.  6.101
  
    libavfilter     7. 48.100 /  7. 48.100
  
    libswscale      5.  4.100 /  5.  4.100
  
    libswresample   3.  4.100 /  3.  4.100
  
    libpostproc    55.  4.100 / 55.  4.100
  
  Input #0, lavfi, from 'color=c=white:s=320x240:d=0.5':
  
    Duration: N/A, start: 0.000000, bitrate: N/A
  
      Stream #0:0: Video: rawvideo (I420 / 0x30323449), yuv420p, 320x240 [SAR 1:1 DAR 4:3], 25 tbr, 25 tbn, 25 tbc
  
  Stream mapping:
  
    Stream #0:0 -> #0:0 (rawvideo (native) -> h264 (libx264))
  
  Press [q] to stop, [?] for help
  
  Fontconfig error: Cannot load default config file
  
  [Parsed_drawtext_0 @ 00000291ad7def00] Using "C:/Windows/fonts/mingliub.ttc"
  
  [libx264 @ 00000291af0ef180] using SAR=1/1
  
  [libx264 @ 00000291af0ef180] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
  
  [libx264 @ 00000291af0ef180] profile High, level 1.3, 4:2:0, 8-bit
  
  [libx264 @ 00000291af0ef180] 264 - core 157 r2935 545de2f - H.264/MPEG-4 AVC codec - Copyleft 2003-2018 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=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
  
  Output #0, mp4, to 'output.mp4':
  
    Metadata:
  
      encoder         : Lavf58.26.101
  
      Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuv420p, 320x240 [SAR 1:1 DAR 4:3], q=-1--1, 25 fps, 12800 tbn, 25 tbc
  
      Metadata:
  
        encoder         : Lavc58.47.102 libx264
  
      Side data:
  
        cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
  
  [Parsed_color_0 @ 00000291af0aa840] EOF timestamp not reliable
  
  frame=   13 fps=0.0 q=-1.0 Lsize=       2kB time=00:00:00.40 bitrate=  43.9kbits/s speed=4.27x
  
  video:1kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 84.991570%
  
  [libx264 @ 00000291af0ef180] frame I:1     Avg QP: 9.22  size:   306
  
  [libx264 @ 00000291af0ef180] frame P:3     Avg QP:11.33  size:    20
  
  [libx264 @ 00000291af0ef180] frame B:9     Avg QP:12.67  size:    14
  
  [libx264 @ 00000291af0ef180] consecutive B-frames:  7.7%  0.0%  0.0% 92.3%
  
  [libx264 @ 00000291af0ef180] mb I  I16..4: 98.7%  0.0%  1.3%
  
  [libx264 @ 00000291af0ef180] mb P  I16..4:  0.0%  0.0%  0.0%  P16..4:  0.0%  0.0%  0.0%  0.0%  0.0%    skip:100.0%
  
  [libx264 @ 00000291af0ef180] mb B  I16..4:  0.0%  0.0%  0.0%  B16..8:  0.0%  0.0%  0.0%  direct: 0.0%  skip:100.0%
  
  [libx264 @ 00000291af0ef180] 8x8 transform intra:0.0%
  
  [libx264 @ 00000291af0ef180] coded y,uvDC,uvAC intra: 1.0% 0.0% 0.0% inter: 0.0% 0.0% 0.0%
  
  [libx264 @ 00000291af0ef180] i16 v,h,dc,p: 92%  1%  7%  0%
  
  [libx264 @ 00000291af0ef180] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 39%  3% 42%  2%  5%  5%  2%  2%  2%
  
  [libx264 @ 00000291af0ef180] i8c dc,h,v,p: 100%  0%  0%  0%
  
  [libx264 @ 00000291af0ef180] Weighted P-Frames: Y:0.0% UV:0.0%
  
  [libx264 @ 00000291af0ef180] kb/s:7.65

  SOLVED ! Apparently the problem was that the path to the font cannot contain a semicolon (i.e., "C :/". The code that worked is :

  ffmpeg -f lavfi -i color=c=white:s=320x240:d=0.5 -vf “drawtext=fontfile= /Windows/fonts/calibri.ttf:fontsize=18: fontcolor=black:x=(w-text_w)/2:y=(h-text_h)/2:text=word” output.mp4

• 16 Website Metrics to Track If You Want to Grow Your Business

  9 avril 2024, par Erin

  Conversion rate.

  Bounce rate.

  Sessions.

  There are dozens of metrics to keep up with in web analytics. It can be confusing at times trying to keep up with everything.

  But, if you want to improve your website performance and grow your business, you need to know what they are and how they work.

  Why ?

  Because what you measure gets managed. This is true in your personal life and business. You must track various website metrics to help your business reach new heights.

  In this guide, you’ll learn about the most important website metrics, why they’re important and how to track them to grow your brand.

  What are website metrics ?

  Your website is your digital headquarters.

  It’s not a static place. Instead, it’s a vibrant, interactive hub your visitors and customers can engage with daily.

  Every time a user interacts with your website, you can track what’s happening.

  Website metrics help you measure how much your visitors and customers interact with your website. 

  These engagement metrics help you understand what your visitors are doing, where they’re coming from, how they’re moving on your website and how long they stay. They can even give you insights into what their goals are.

  

  If you aren’t tracking your website metrics, you won’t know how effective your website is.

  By paying close attention to your key metrics within a web analytics platform like Matomo, you’ll be able to see how well your marketing is doing and how your visitors are engaging so you can improve the user experience and increase conversions.

  16 website metrics to track

  Here are the top 16 website metrics you need to be tracking if you want to grow your business :

  1. Pageviews

  A pageview is the number of times a web page has been viewed. 

  Many pageviews can indicate a successful search engine optimisation (SEO) or marketing campaign — it can be used to show positive results for these initiatives.

  It can also help you determine various issues on individual pages. For instance, performance issues or poor website structure can cause visitors to get lost or confused while navigating your website.

  

  2. Average time on page

  Average time on a page is simply the time visitors spend on a specific page (not the entire website) ; tracking users’ time on various pages throughout your website can give you insights that can help you improve certain pages.

  If you get tons of traffic to a particular page, but the average time a visitor stays on that page is minimal, the content may need some work.

  Tracking this data can help determine if your website is engaging for your visitors or if you need to modify certain aspects to increase your visitors’ stay. Increasing the average time on the page will help boost your conversions and search engine rankings.

  3. Actions per visit

  Actions per visit is a key metric that tracks the average number of actions a visitor takes every time they visit your website. This data can help you track your audience engagement and the effectiveness of your content across your entire website.

  An action is any activity performed by your visitors on your website like :

  • Outlinks
  • Downloads
  • Page views
  • Internal site searches

  The higher your actions per visit, the more engaging your audience finds your website content. A side effect of increased actions is staying longer on the site and more likely to convert to your email list as a subscriber or pay for products as a customer.

  4. Bounce rate

  Like a bouncy ball, your website’s bounce rate measures how many users entered your site and “bounced” out without clicking on another page. This metric can be extremely helpful in determining user interest in your content. 

  You might be getting many visitors to your website, but if they “bounce” after visiting the first page they land on, that’s a great indicator that your content is not resonating with your audience.

  Remember, this metric should be taken with a grain of salt. 

  Your bounce rate may indicate that visitors are finding the exact information that they wanted and leaving pleased, so it’s not a black-and-white metric.

  For example, if you have a landing page with a high bounce rate, then that’s likely not a sign of a good user experience. But, if you have a knowledge base article and they just need to find some quick information, then it could be a good indicator.

  5. Conversions

  The first step in tracking conversions is defining what a conversion is for your website. 

  Do you want your audience to :

  • View a blog post
  • Purchase a product
  • Download an eBook
  • Sign up for a consultation call

  Determine what that conversion is and track how often users take that action on your website.

  This helps you understand if your marketing and content strategies are working toward your pre-defined conversion goal.

  

  6. Conversion rate

  A conversion rate is the percentage of visits that triggered a conversion. Knowing this metric lets you plan, budget, and forecast future growth.

  For example, 5% of your website visitors take action and convert to customers. With this information, you can make better informed financial decisions regarding your marketing efforts on your website to help increase traffic and future conversions.

  While there are basic conversion rate benchmarks to strive toward, it ultimately depends on your goals and the specific conversions you decide to track that are best for your business. 

  That being said, Matomo has some best practices to help you optimise your conversion rates, no matter what conversion metric you are tracking.

  7. Exit rate

  While “bounce rate” and “exit rate” are similar, “exit rate” is the percentage of visits to a website that ended on a particular page.

  Knowing which pages have the highest percentage of visitors exiting your website gives you key information on the pages that may need to be improved.

  If you see that your “exit rate” is highest on pages before the checkout (or other CTA’s you have established), you will want to dive into what’s causing visitors to leave from that page. For example, maybe it’s the content, the copy or even a broken link.

  This is a great metric to help determine where you have breakdowns between you and your visitors. Improving your exit rate can help guide visitors through your website funnel more easily and boost your conversion rates. 

  

  8. Top pages

  The top pages on your website are the pages that receive the most visits. Understanding what your top pages are can be crucial in planning and guiding your marketing strategies moving forward.

  Your top pages can help you determine the most engaging content for your audience. This can be extremely helpful in guiding your visitors to certain pages that other users find more valuable.

  It also helps you determine if you need to focus more attention on different parts of your website to increase user engagement in those areas.

  For example, maybe your most-viewed pages have less copy and more photos or videos. Understanding this lets you know that incorporating more media into other pages will boost future engagement.

  9. Traffic sources

  Your traffic sources are the channels that are driving visitors to your website. The four most common traffic sources are :

  • Direct Entry : Typing your website URL into their browser or visiting via a bookmark they saved
  • Websites/Referral : Clicking on a link to your site from another website
  • Search Engines : Using search engines (Google, Bing or Yahoo) to find your website
  • Campaigns : Visitors directed to your website through specific marketing campaigns, such as email newsletters, Google Ads, promotional links, etc.
  • Social Networks : Visitors accessing your website by clicking on links shared on social media platforms like Facebook, X (Twitter), LinkedIn, etc.

  Understanding where your visitors are coming from can help you focus your marketing efforts on the traffic sources with the highest conversion rates. 

  Suppose your email marketing campaign isn’t driving any traffic to your website, but your ad campaign is responsible for over 25% of your conversions. In that case, you might consider doubling your advertising efforts.

  10. Form average time spent

  Forms are a crucial part of your website’s marketing strategy. Forms can help you :

  • Learn more about your visitors
  • Gather feedback from your audience
  • Convert visitors into email subscribers
  • And more

  Form average time spent is the average amount of time a visitor spends on a specific form on your website. The time is calculated as the difference between the first interaction with a form field (for example, a field focus) and the last interaction with a form.

  Want to convert more visitors into leads ? Then, you need to understand your form analytics better. Learn more here.

  11. Play rate

  If you want to keep your audience engaged (and convert more visitors), you need to publish different types of media.

  But if your video or audio content isn’t performing well, then you’re wasting your time.

  That’s where play rate comes in. It’s calculated by analysing visitors who watched or listened to a specific media after they have visited a web page.

  With play rate, you can track any video, podcast, or audiobook plays.

  You can easily track it within Matomo’s Media Analytics. The best part ? This feature works out of the box, so you don’t need to configure it to start leveraging the analytics.

  Try Matomo for Free

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

  Start for free

  No credit card required

  12. Returning visitors

  Returning visitors are users who visit your website more than once over a specific time.

  You will want to measure the number of returning visitors to your website, as this information can give you additional insights into your marketing strategies, company branding and content.

  It can also help you better understand your customer base, giving you a clearer sense of their top desires and pain points.

  13. Device type

  Device type tracks the different devices visitors use to visit your website. These could be :

  • Tablets
  • Mobile phones
  • Desktop computers

  Knowing what your visitors are using to access your website can help you improve the overall user experience.

  For example, if 80% of your visitors use mobile phones, you could think about optimising your web pages to format with mobile devices. 

  

  14. Top exit pages

  Top exit pages are the pages that a visitor leaves your website from the most.

  Each web page will have a specific exit rate percentage based on how many people leave the website on a particular page.

  This can be quite helpful in understanding how visitors interact with your website. It can also help you uncover and fix any issues with your website you may not be aware of.

  For instance, one of your product pages has the highest exit rate on your website. By looking into why that is, you discover that your “Add to Cart” button isn’t functioning correctly, and your visitors can’t buy that particular product, so they exit out of frustration.

  15. Marketing attribution

  Marketing attribution (multi-touch attribution) helps you see which touchpoints have the greatest impact on conversions.

  Within Matomo, revenue attribution involves assigning credit for revenue across multiple touchpoints that contribute to a conversion.

  Matomo’s multi-touch attribution models use different weighting factors, like linear or time decay, to allocate credit to each touchpoint based on its influence.

  Matomo’s multi-touch attribution reports provide insights into how revenue is distributed across different touchpoints, marketing channels, campaigns, and actions. These reports allow you to analyse the contribution of each touchpoint to revenue generation and identify the most influential interactions in the customer journey.

  Try Matomo for Free

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

  Start for free

  No credit card required

  16. Event tracking

  Every website has multiple actions a user can perform called “events”. These could be downloading a template, submitting contact information, signing up for a newsletter or clicking a link.

  Tracking events can give you additional context into what your visitors are interested in or don’t care about. This allows you to target them better through those events, potentially creating new, unique conversions and boosting the growth of your business.

  It can also lead to discovering potential issues within your website if you notice visitors aren’t taking action on certain CTAs, such as broken links or lack of content on certain pages. By uncovering these issues, you can quickly fix them to increase your conversions.

  

  Start tracking your website metrics with Matomo today

  There’s much to consider when creating and running your website, such as the design, copy and flow. 

  While these are necessary, tracking your website’s data is one of the most important aspects of running a site. It’s crucial in helping you optimise your site’s performance and create a great experience for your visitors.

  Every interaction a visitor has on your site is unique and leaves valuable clues you can use to improve all aspects of your site experience. 

  Understanding what your visitors like, what website performance issues they’re running into and how they interact across your website is crucial to improving your marketing and sales efforts.

  While tracking this much data can feel overwhelming, having all your key metrics in one place and broken down into easy-to-understand benchmarks can help alleviate the stress and headache of data tracking. 

  That’s where a web analytics platform like Matomo comes in.

  With Matomo, you can easily track, store and analyse every piece of data on your website automatically to improve your site performance and user experience and drive conversions. 

  With Matomo, you can take back control with a platform that gives you 100% data ownership.

  Used on over 1 million websites in over 190 countries, Matomo gives you :

  • Accurate data (no data sampling)
  • Privacy-friendly and GDPR-compliant analytics
  • Open-source access to create a custom solution for you

  Try Matomo for free for 21 days now. No credit card required. 

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• 10 Customer Segments Examples and Their Benefits

  9 mai 2024, par Erin

  Now that companies can segment buyers, the days of mass marketing are behind us. Customer segmentation offers various benefits for marketing, content creation, sales, analytics teams and more. Without customer segmentation, your personalised marketing efforts may fall flat. 

  According to the Twilio 2023 state of personalisation report, 69% of business leaders have increased their investment in personalisation. There’s a key reason for this — customer retention and loyalty directly benefit from personalisation. In fact, 62% of businesses have cited improved customer retention due to personalisation efforts. The numbers don’t lie. 

  Keep reading to learn how customer segments can help you fine-tune your personalised marketing campaigns. This article will give you a better understanding of customer segmentation and real-world customer segment examples. You’ll leave with the knowledge to empower your marketing strategies with effective customer segmentation. 

  What are customer segments ?

  Customer segments are distinct groups of people or organisations with similar characteristics, needs and behaviours. Like different species of plants in a garden, each customer segment has specific needs and care requirements. Customer segments are useful for tailoring personalised marketing campaigns for specific groups.

  Personalised marketing has been shown to have significant benefits — with 56% of consumers saying that a personalised experience would make them become repeat buyers. 

  Successful marketing teams typically focus on these types of customer segmentation :

  

  1. Geographic segmentation : groups buyers based on their physical location — country, city, region or climate — and language.
  2. Purchase history segmentation : categorises buyers based on their purchasing habits — how often they make purchases — and allows brands to distinguish between frequent, occasional and one-time buyers. 
  3. Product-based segmentation : groups buyers according to the products they prefer or end up purchasing. 
  4. Customer lifecycle segmentation : segments buyers based on where they are in the customer journey. Examples include new, repeat and lapsed buyers. This segmentation category is also useful for understanding the behaviour of loyal buyers and those at risk of churning. 
  5. Technographic segmentation : focuses on buyers’ technology preferences, including device type, browser type, and operating system. 
  6. Channel preference segmentation : helps us understand why buyers prefer to purchase via specific channels — whether online channels, physical stores or a combination of both. 
  7. Value-based segmentation : categorises buyers based on their average purchase value and sensitivity to pricing, for example. This type of segmentation can provide insights into the behaviours of price-conscious buyers and those willing to pay premium prices. 

  Customer segmentation vs. market segmentation

  Customer segmentation and market segmentation are related concepts, but they refer to different aspects of the segmentation process in marketing. 

  Market segmentation is the broader process of dividing the overall market into homogeneous groups. Market segmentation helps marketers identify different groups based on their characteristics or needs. These market segments make it easier for businesses to connect with new buyers by offering relevant products or new features. 

  On the other hand, customer segmentation is used to help you dig deep into the behaviour and preferences of your current customer base. Marketers use customer segmentation insights to create buyer personas. Buyer personas are essential for ensuring your personalised marketing efforts are relevant to the target audience. 

  10 customer segments examples

  Now that you better understand different customer segmentation categories, we’ll provide real-world examples of how customer segmentation can be applied. You’ll be able to draw a direct connection between the segmentation category or categories each example falls under.

  One thing to note is that you’ll want to consider privacy and compliance when you are considering collecting and analysing types of data such as gender, age, income level, profession or personal interests. Instead, you can focus on these privacy-friendly, ethical customer segmentation types :

  1. Geographic location (category : geographic segmentation)

  The North Face is an outdoor apparel and equipment company that relies on geographic segmentation to tailor its products toward buyers in specific regions and climates. 

  For instance, they’ll send targeted advertisements for insulated jackets and snow gear to buyers in colder climates. For folks in seasonal climates, The North Face may send personalised ads for snow gear in winter and ads for hiking or swimming gear in summer. 

  The North Face could also use geographic segmentation to determine buyers’ needs based on location. They can use this information to send targeted ads to specific customer segments during peak ski months to maximise profits.

  2. Preferred language (category : geographic segmentation)

  Your marketing approach will likely differ based on where your customers are and the language they speak. So, with that in mind, language may be another crucial variable you can introduce when identifying your target customers. 

  Language-based segmentation becomes even more important when one of your main business objectives is to expand into new markets and target international customers — especially now that global reach is made possible through digital channels. 

  Coca-Cola’s “Share a Coke” is a multi-national campaign with personalised cans and bottles featuring popular names from countries around the globe. It’s just one example of targeting customers based on language.

  3. Repeat users and loyal customers (category : customer lifecycle segmentation)

  Sephora, a large beauty supply company, is well-known for its Beauty Insider loyalty program. 

  It segments customers based on their purchase history and preferences and rewards their loyalty with gifts, discounts, exclusive offers and free samples. And since customers receive personalised product recommendations and other perks, it incentivises them to remain members of the Beauty Insider program — adding a boost to customer loyalty.

  By creating a memorable customer experience for this segment of their customer base, staying on top of beauty trends and listening to feedback, Sephora is able to keep buyers coming back.

  

  4. New customers (category : customer lifecycle segmentation)

  Subscription services use customer lifecycle segmentation to offer special promotions and trials for new customers. 

  HBO Max is a great example of a real company that excels at this strategy : 

  They offer 40% savings on an annual ad-free plan, which targets new customers who may be apprehensive about the added monthly cost of a recurring subscription.

  This marketing strategy prioritises fostering long-term customer relationships with new buyers to avoid high churn rates. 

  5. Cart abandonment (category : purchase history segmentation)

  With a rate of 85% among US-based mobile users, cart abandonment is a huge issue for ecommerce businesses. One way to deal with this is to segment inactive customers and cart abandoners — those who showed interest by adding products to their cart but haven’t converted yet — and send targeted emails to remind them about their abandoned carts.

  E-commerce companies like Ipsy, for example, track users who have added items to their cart but haven’t followed through on the purchase. The company’s messaging often contains incentives — like free shipping or a limited-time discount — to encourage passive users to return to their carts. 

  Research has found that cart abandonment emails with a coupon code have a high 44.37% average open rate. 

  6. Website activity (category : technographic segmentation)

  It’s also possible to segment customers based on website activity. Now, keep in mind that this is a relatively broad approach ; it covers every interaction that may occur while the customer is browsing your website. As such, it leaves room for many different types of segmentation. 

  For instance, you can segment your audience based on the pages they visited, the elements they interacted with — like CTAs and forms — how long they stayed on each page and whether they added products to their cart. 

  Matomo’s Event Tracking can provide additional context to each website visit and tell you more about the specific interactions that occur, making it particularly useful for segmenting customers based on how they spend their time on your website. 

  Try Matomo for Free

  Get the web insights you need, while respecting user privacy.

  Start for free

  No credit card required

  Amazon segments its customers based on browsing behaviour — recently viewed products and categories, among other things — which, in turn, allows them to improve the customer’s experience and drive sales.

  7. Traffic source (category : channel segmentation) 

  You can also segment your audience based on traffic sources. For example, you can determine if your website visitors arrived through Google and other search engines, email newsletters, social media platforms or referrals. 

  In other words, you’ll create specific audience segments based on the original source. Matomo’s Acquisition feature can provide insights into five different types of traffic sources — search engines, social media, external websites, direct traffic and campaigns — to help you understand how users enter your website.

  You may find that most visitors arrive at your website through social media ads or predominantly discover your brand through search engines. Either way, by learning where they’re coming from, you’ll be able to determine which conversion paths you should prioritise and optimise further. 

  8. Device type (category : technographic segmentation)

  Device type is customer segmentation based on the devices that potential customers may use to access your website and view your content. 

  It’s worth noting that, on a global level, most people (96%) use mobile devices — primarily smartphones — for internet access. So, there’s a high chance that most of your website visitors are coming from mobile devices, too. 

  However, it’s best not to assume anything. Matomo can detect the operating system and the type of device — desktop, mobile device, tablet, console or TV, for example. 

  By introducing the device type variable into your customer segmentation efforts, you’ll be able to determine if there’s a preference for mobile or desktop devices. In return, you’ll have a better idea of how to optimise your website — and whether you should consider developing an app to meet the needs of mobile users.

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  9. Browser type (category : technographic segmentation)

  Besides devices, another type of segmentation that belongs to the technographic category and can provide valuable insights is browser-related. In this case, you’re tracking the internet browser your customers use. 

  Many browser types are available — including Google Chrome, Microsoft Edge, Safari, Firefox and Brave — and each may display your website and other content differently. 

  So, keeping track of your customers’ preferred choices is important. Otherwise, you won’t be able to fully understand their online experience — or ensure that these browsers are displaying your content properly. 

  

  10. Ecommerce activity (category : purchase history, value based, channel or product based segmentation) 

  Similar to website activity, looking at ecommerce activity can tell your sales teams more about which pages the customer has seen and how they have interacted with them. 

  With Matomo’s Ecommerce Tracking, you’ll be able to keep an eye on customers’ on-site behaviours, conversion rates, cart abandonment, purchased products and transaction data — including total revenue and average order value.

  Considering that the focus is on sales channels — such as your online store — this approach to customer segmentation can help you improve the sales experience and increase profitability. 

  Start implementing these customer segments examples

  With ever-evolving demographics and rapid technological advancements, customer segmentation is increasingly complex. The tips and real-world examples in this article break down and simplify customer segmentation so that you can adapt to your customer base. 

  Customer segmentation lays the groundwork for your personalised marketing campaigns to take off. By understanding your users better, you can effectively tailor each campaign to different segments. 

  If you’re ready to see how Matomo can elevate your personalised marketing campaigns, try it for free for 21 days. No credit card required.

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