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  • MediaSPIP version 0.1 Beta

    16 avril 2011, par

    MediaSPIP 0.1 beta est la première version de MediaSPIP décrétée comme "utilisable".
    Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
    Pour avoir une installation fonctionnelle, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
    Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...)

  • Mise à jour de la version 0.1 vers 0.2

    24 juin 2013, par

    Explications des différents changements notables lors du passage de la version 0.1 de MediaSPIP à la version 0.3. Quelles sont les nouveautés
    Au niveau des dépendances logicielles Utilisation des dernières versions de FFMpeg (>= v1.2.1) ; Installation des dépendances pour Smush ; Installation de MediaInfo et FFprobe pour la récupération des métadonnées ; On n’utilise plus ffmpeg2theora ; On n’installe plus flvtool2 au profit de flvtool++ ; On n’installe plus ffmpeg-php qui n’est plus maintenu au (...)

  • MediaSPIP 0.1 Beta version

    25 avril 2011, par

    MediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
    The zip file provided here only contains the sources of MediaSPIP in its standalone version.
    To get a working installation, you must manually install all-software dependencies on the server.
    If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...)

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  • Error audio loading when runing Whisper Open AI model

    9 juin 2024, par John mick

    The problem I'm trying to solve is that I can't run Whisper model for some audio, it says something related to audio decoding.

    


    payload.wav: Invalid data found when processing input.
raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e


    


    I tried using the micro-machines.wav and it works fine but when i used other audio it gives me an error.

    


    import whisper

model = whisper.load_model("base")
text=model.transcribe('micro-machines.wav',fp16=False)
print(text)
text=model.transcribe('payload.wav',fp16=False)
print(text)


    


    Error I'm getting for payload :

    


    d:\...\venv\lib\site-packages\whisper\transcribe.py:79: UserWarning: FP16 is not supported on CPU; using FP32 instead&#xA;  warnings.warn("FP16 is not supported on CPU; using FP32 instead")                                                                                        &#xA;Traceback (most recent call last):&#xA;  File "d:\...\venv\lib\site-packages\whisper\audio.py", line 42, in load_audio&#xA;    ffmpeg.input(file, threads=0)                                                                                    &#xA;  File "d:\...\venv\lib\site-packages\ffmpeg\_run.py", line 325, in run        &#xA;    raise Error(&#x27;ffmpeg&#x27;, out, err)                                                                                  &#xA;ffmpeg._run.Error: ffmpeg error (see stderr output for detail)                                                       &#xA;&#xA;The above exception was the direct cause of the following exception:&#xA;&#xA;Traceback (most recent call last):&#xA;  File "C:\....\Python\Python39\lib\runpy.py", line 197, in _run_module_as_main&#xA;    return _run_code(code, main_globals, None,&#xA;  File "C:\.....\Python\Python39\lib\runpy.py", line 87, in _run_code&#xA;    exec(code, run_globals)&#xA;  File "D:\...\venv\Scripts\whisper.exe\__main__.py", line 7, in <module>&#xA;  File "d:\...\venv\lib\site-packages\whisper\transcribe.py", line 314, in cli&#xA;    result = transcribe(model, audio_path, temperature=temperature, **args)&#xA;  File "d:\...\venv\lib\site-packages\whisper\transcribe.py", line 85, in transcribe&#xA;    mel = log_mel_spectrogram(audio)&#xA;  File "d:\...\venv\lib\site-packages\whisper\audio.py", line 111, in log_mel_spectrogram&#xA;    audio = load_audio(audio)&#xA;  File "d:\...\venv\lib\site-packages\whisper\audio.py", line 47, in load_audio&#xA;    raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e&#xA;RuntimeError: Failed to load audio: ffmpeg version 6.0-essentials_build-www.gyan.dev Copyright (c) 2000-2023 the FFmpeg developers&#xA;  built with gcc 12.2.0 (Rev10, Built by MSYS2 project)&#xA;  configuration: --enable-gpl --enable-version3 --enable-static --disable-w32threads --disable-autodetect --enable-fontconfig --enable-iconv --enable-gnutls --enable-libxml2 --enab&#xA;le-gmp --enable-lzma --enable-zlib --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-sdl2 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxv&#xA;id --enable-libaom --enable-libopenjpeg --enable-libvpx --enable-libass --enable-libfreetype --enable-libfribidi --enable-libvidstab --enable-libvmaf --enable-libzimg --enable-amf &#xA;--enable-cuda-llvm --enable-cuvid --enable-ffnvcodec --enable-nvdec --enable-nvenc --enable-d3d11va --enable-dxva2 --enable-libmfx --enable-libgme --enable-libopenmpt --enable-libo&#xA;pencore-amrwb --enable-libmp3lame --enable-libtheora --enable-libvo-amrwbenc --enable-libgsm --enable-libopencore-amrnb --enable-libopus --enable-libspeex --enable-libvorbis --enab&#xA;le-librubberband&#xA;  libavutil      58.  2.100 / 58.  2.100&#xA;  libavcodec     60.  3.100 / 60.  3.100&#xA;  libavformat    60.  3.100 / 60.  3.100&#xA;  libavdevice    60.  1.100 / 60.  1.100&#xA;  libavfilter     9.  3.100 /  9.  3.100&#xA;  libswscale      7.  1.100 /  7.  1.100&#xA;  libswresample   4. 10.100 /  4. 10.100&#xA;  libpostproc    57.  1.100 / 57.  1.100&#xA;payload.wav: Invalid data found when processing input&#xA;</module>

    &#xA;

    I tried searching for solutions and I found one which says It appears that the code failed to load the audio file for some reason and even failed to display that error because e.stderr did not contain a valid UTF-8 string

    &#xA;

  • 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.

    What are website metrics?

    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.

    Screenshot example of the Matomo dashboard

    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.

    Matomo track conversions.

    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. 

    Matomo track pageviews

    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.

    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. 

    Screenshot of Matomo dashboard

    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.

    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.

    Matomo track events

    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. 

  • How to Increase Conversions With Form Analysis

    30 janvier 2024, par Erin

    Forms are one of the most important elements of your website. They are also one of the most difficult elements to analyse and improve. 

    Unlike a webpage, forms aren’t all that easy to analyse with standard web analytics tools. You need to learn how to conduct form analysis if you want to improve your forms’ conversion rates and increase revenue. 

    In this article, we’ll explain what form analysis is and why conducting a thorough form analysis is so important. 

    What is form analysis ?

    Form analysis is a process that measures the effectiveness of your forms. Form analysis uses several tools and techniques like a form analytics platform, heatmaps, and session recordings to collect user data and understand how visitors behave when filling in forms. 

    The goal is to improve the design and effectiveness of your forms, reducing abandonment rate and encouraging more users to submit them. 

    There are plenty of reasons visitors could be having trouble with your forms, from confusing form fields to poor design and lengthy verification processes. Form analytics can help you pinpoint why your form’s conversion rate is so low or why so many users abandon your form halfway through filling it in. 

    Why is form analysis important ?

    Website forms have some of the highest bounce rates and abandonments of any website element. By analysing your forms, you can achieve the following outcomes :

    Why is form analytics important?

    Reduce form abandonment

    When it’s tough enough to get users to start filling in your form, the last thing you want them to do is abandon it halfway through. But that’s probably what your users are doing more than you’d like to think. 

    Why are they abandoning it ? Even if you’re humble enough to admit you didn’t create the greatest form the world’s ever seen, it can still be incredibly difficult to pin down why users give up on your form.

    That’s unless you conduct a form analysis. By analysing metrics and user behaviour, you can pinpoint and rectify the issues that cause users to abandon your form. 

    Improve the user experience

    Best practices will only take you so far. How users behave when filling in a form on your website may be completely different to how they behave on another site. That’s why you need to use form analysis to understand how users behave specifically on your website — and then use that information to optimise the design, layout, and content of the form to better suit them. 

    If one field is regularly left empty, for example, you can delete it. If users spend several minutes filling out a form with a high abandonment rate, you could shorten it. 

    The goal isn’t to make the best form ever but to make the best form for your audience. 

    Increase conversions

    Ultimately, form analysis helps you improve your form’s most important metric : conversions. Reducing your abandonment rate will naturally lead to more completions, but so will taking advantage of other optimisation opportunities that only become clear with form analysis. This can include optimisations like :

    • Moving the form higher up on the page
    • Shortening the form
    • Changing the heading and CTAs
    • Renaming field labels 

    A thorough form analysis process can ensure your forms generate as many conversions as possible. 

    Why do users abandon forms ?

    Are you already suffering from high form abandonment rates ? Don’t worry, you’re not alone. Marketers regularly make the same mistakes when creating forms that cause users to give up halfway through completion.

    Here are some of the most common reasons for form abandonment :

    • There are too many steps. If you’re telling users they’ve just completed step 2 of 12, you can bet they won’t bother finishing your form. 
    • They ask for too much information. No one wants to fill out a long form, and often, users won’t have the information on hand if you ask for too much. Just look at the rate left blank from the Unneeded Fields report in the screenshot below :
    A screenshot showing fields left blank by users
    • The form is confusing. Unclear form fields or directions can put users off. 
    • All the fields are free text and time-consuming. Filling out forms with long text fields takes too much time. To speed things up, use dropdown options in the fields, but keep the options to a minimum. This not only helps users finish the form faster but also makes it easier to analyse the data later because it keeps the data format consistent so you can organise the information more efficiently. 
    • Users don’t trust the form. This is a particular problem on checkout pages where users are entering sensitive information.

    How to conduct form analysis

    You need to collect user behaviour data to effectively analyse your forms. But a lot of traditional website analytics tools won’t have the required functionality. 

    Matomo is different. Our web analytics solution offers comprehensive web analytics as well as additional features like Heatmaps, Session Recordings, A/B Testing, and Form Analytics to provide all the functionality you need. 

    Now if you don’t use Matomo, you can try it free for 21 days (no credit card required) to see if it’s the right tool for you.

    Whether you use Matomo or not is up to you. But, once you have a suitable tool in place, just follow the steps below to conduct a form analysis. 

    Check your analytics

    Tracking and analysing specific form metrics should be the first place you start. We recommend collecting data on the following metrics :

    • Form starter rate : the percentage of visitors who actually start to fill in your form
    • Completion rate : the percentage of visitors who complete the form
    • Form abandonment rate : the percentage of users who gave up filling in your form
    • Time spent completing your form : the average length of time users spend on your form

    Let’s look at these metrics are in Matomo’s Form Analytics :

    A screenshot of Matomo's form analytics dashboard

    The dashboard shows an overview of these metrics over a given period, allowing you to see at a glance whether there are issues you need to rectify. 

    Next, deep dive into the performance of each form to see things like :

    • Drop off fields
    • Unused fields
    • Entry field
    • Most corrected fields 

    You can even use Matomo’s visitor log to see who’s behind every submission.

    Try Matomo for Free

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

    No credit card required

    Use a heatmap

    A heatmap is a colour-based graphical representation of data. A heatmap will show what users to do on your website, including : 

    • How far they scroll
    • Which buttons they click on
    • Where they focus their attention

    When used on a webpage with a form, you’ll be able to see how often users interact with your form based on the heatmap colour, with warmer colours representing greater engagement levels.

    Let’s look at a heatmap in Matomo :

    A screenshot of Matomo's heatmap feature

    This heatmap is showing us how far down users have scrolled. It’s clear that only 63% of visitors are reaching the point above our call to action to see all features. We might want to consider moving that call to action up in order to get more engagement. 

    A heatmap is a great way to see whether your form’s placement gets the level of attention you want from visitors and to what extent visitors interact with your field.

    Record user sessions

    Session replays go even further than heatmaps, recording a real-life user interacting with your site. It’s like looking over a visitor’s shoulder while they use your site.

    A screenshot of Matomo's heatmap feature

    With Matomo, you can record any sessions where the user takes a certain action (like starting to fill in a form), allowing you to build a rich library of qualitative data. 

    You can then replay a recorded session at your leisure to understand exactly how users interact with your forms.

    Segment users

    If you really want to understand how visitors use your forms, then it’s essential to segment your data. 

    You can segment all Form Analytics reports by over 100 pre-built segments in Matomo.

    A screenshot of Matomo's user segmentation feature

    One way to segment your data is by comparing the average time on form of those who completed the form with those who abandoned it. 

    If users abandon a form quickly, that could indicate your form is irrelevant to this audience or too long. If users spend a lot of time on the form, however, it’s probably safe to assume that it is relevant but there is something wrong with the form itself. 

    Looking at the Field Timings report will help you pinpoint which field visitors are spending the most time on and causing frustration. 

    Field Timings Report example in Matomo dashboard

    The Field Timings example report in Matomo above, it’s evident that the “Overview of your needs” field takes up the most time (avg. time spent is 1 min 40s). To improve this, we might want to change it to a dropdown field. This way, users can quickly select options, and if necessary, provide additional details.

    Try Matomo for Free

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

    No credit card required

    Another way is to segment data by traffic source and compare each source’s conversion rate. This will show whether one traffic source converts better than another or if one source isn’t interested in your form at all.

    How to optimise web forms

    Want to implement what you’ve learnt from your form analysis ? Follow these steps to optimise your existing web forms. 

    Define your form’s purpose

    The first step in optimising your existing web forms is to give a clear and definitive purpose to every single one. 

    When you have a defined goal, creating a form users will complete is much easier. After all, if you don’t know why people should fill in one of your forms, how would a visitor possibly know ?

    Take a look at one of our forms below :

    A form on Matomo's website

    The purpose of this form is to get users to sign up for a free trial of our web analytics platform, and every element works towards that goal :

    • The headline directs the user to take action
    • The copy explains that it’s a free trial that doesn’t require credit card details
    • The green call-to-action button reinforces the action and benefit 
    • There is validation to support this under the form – “Trusted on over 1 million websites in over 190+ countries”

    Our clear instructions leave users no doubt about why they should fill in the form or what will happen. 

    Choose the right type of form

    You can use several forms on your website, each with different designs, form fields, and goals.

    For example :

    • Registration forms are fairly minimalist and designed to collect the least amount of data possible. 
    • Contact forms are concise so that it’s easy for potential customers to reach your team. 
    • Checkout forms balance a need to collect important data with a streamlined design that doesn’t put users off.
    • Lead generation forms are compelling and usually include qualifying questions so sales teams can score leads.

    Make sure you are using the right type of form to avoid abandonments and other issues. For example, requiring users to fill in a lengthy lead generation-style form when you want them to sign up for a free trial will probably kill your conversion rate. 

    Test form elements

    If your form analysis has shed light on one or two issues, you can use A/B or multivariate testing to trial new elements or designs and see how they compare.

    There’s no shortage of elements you can test, including the form’s :

    • Headline
    • Placement
    • Design
    • CTA button
    • Colour-scheme
    • Length
    • Form fields
    Matomo A/B Test feature

    Matomo makes it easy to create and run A/B tests on your website’s forms. 

    Move your form above the fold

    One of the simplest ways to optimise your web form is to move it above the fold — that’s the section of the screen users see when they load your page. 

    Why ? Well, the more people who see your form, the more people will fill it in. And when it’s above the fold, users can’t help but see it.

    Conclusion

    Forms are one of the most important elements on your website, so why not treat them as such and regularly run a thorough form analysis ? By doing so, you’ll identify ways to optimise your form, improve the user experience, and improve conversions. 

    Matomo is the best platform for conducting form analysis. Our combination of web analytics, Form Analytics, Session Recordings, and Heatmaps means you have all the tools you need to learn exactly how visitors interact with your forms. 

    See just how powerful Matomo’s tools are by starting a free 21-day trial, no credit card required.