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  • Conversion Funnel Optimisation : 10 Ways to Convert More

    24 janvier 2024, par Erin

    Converting leads into happy customers is the ultimate goal of any sales and marketing team. But there are many steps in between those two events, or in other words, funnel stages. 

    Your sales funnel includes all the steps you take to make your audience aware of your product or services and convince them to purchase. Conversion funnel optimisation strategies can help you move users through the stages of your sales funnel. 

    This article will show you how to optimise your conversion funnel and boost sales — no matter how your funnel looks. We’ll go over practical tips you can implement and how you can analyse and measure results.

    Let’s get started.

    What is conversion funnel optimisation ? 

    Conversion funnel optimisation is the strategic and ongoing process of refining and improving the different stages of a sales or marketing funnel to increase the rate at which users complete desired actions.

    A sales funnel represents the stages a potential customer goes through before purchasing. 

    The typical stages of a sales funnel include :

    • Awareness : At the top of the funnel, potential customers become aware of your product or service. 
    • Consideration : In this stage, prospects evaluate the product or service against alternatives. They may compare features, prices and customer reviews to make an informed decision.
    • Conversion : The prospect completes the transaction and becomes an actual customer by purchasing.
    • Loyalty : You can turn one-time buyers into repeat customers and brand advocates. 

    It’s called a “funnel” because, similar to the shape of a funnel, the number of potential customers decreases as they progress through the various stages of the sales process — as you can see illustrated below.

    Marketing funnel stages

    Sales funnels can vary across industries and business models, but the general concept remains the same. The goal is to guide potential customers through each funnel stage, addressing their needs and concerns at each step, ultimately leading to a successful conversion. 

    You can create and monitor a custom funnel for your site’s user journey with a web analytics solution like Matomo.

    Try Matomo for Free

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

    No credit card required

    The importance of conversion funnel optimisation 

    At the heart of conversion funnel optimisation is the quest for higher conversion rates

    Refining the customer journey can increase the chances of turning visitors into customers who return repeatedly.

    Specifically, here’s how conversion funnel optimisation can benefit your business :

    • Increased conversions : Marketers can increase the likelihood of turning website visitors into customers by making the user journey more user-friendly and persuasive.
    • Higher revenue : Improved conversion rates aren’t just numbers on a chart ; they translate to tangible revenue. 
    • Increased ROI (return on investment) : By optimising the conversion funnel, you can get more value from your marketing and sales efforts. 
    • Improved customer satisfaction : When customers find it easy and enjoyable to interact with a website or service, it positively influences their satisfaction and likelihood of returning.
    • Data-driven decision-making : Businesses can make informed decisions on budgets and resources based on user behaviour and performance metrics by analysing and optimising conversion funnels.

    ​​Ultimately, conversion funnel optimisation efforts align the entire funnel with overarching business goals.

    10 ways to optimise your conversion funnel 

    Here are 10 ways to optimise your conversion funnel.

    1. Identify and segment your target audience

    The key to a successful conversion funnel begins with a deep understanding of your target audience. 

    Identifying and segmenting your audience lets you speak directly to their pain points, desires and motivations.

    One effective way to know your audience better is by creating detailed buyer personas. These are fictional representations of your ideal customers based on thorough market research and real data. Dive into demographics and behavioural patterns to craft personas that resonate with your audience.

    Audience segmentation

    Note that consumer preferences are not static. They evolve, influenced by trends, technological advancements and shifts in societal values. Staying attuned to these changes is crucial as part of optimising your conversion funnel.

    Thus, you must regularly update your buyer personas and adjust your marketing strategies accordingly.

    2. Create content for every stage of the funnel

    Each funnel stage represents a different mindset and needs for your potential customers. Tailoring your content ensures you deliver the right message at the right time to the right audience. 

    Here’s how to tailor your content to fit prospective customers at every conversion funnel stage.

    Awareness-stage content

    Prospects here are seeking information. Your content should be educational and focused on addressing their pain points. Create blog posts, infographics and videos introducing them to your industry, product or service.

    This video we created at Matomo is a prime example of awareness-stage content, grabbing attention and educating viewers about Matomo.

    Consideration-stage content

    Prospects are evaluating their options. Provide content highlighting your product’s unique selling points, such as case studies, product demonstrations and customer testimonials.

    Here’s how we use a versus landing page at Matomo to persuade prospects at this funnel stage.

    Versus page example from Matomo comparing Google Analytics alternative

    Conversion-stage content

    This is the final push. Ensure a smooth transition to conversion with content like promotional offers, limited-time discounts and clear calls to action (CTA).

    Loyalty-stage content

    In this stage, you might express gratitude for the purchase through personalised thank-you emails. Follow up with additional resources, tips or exclusive offers to reinforce a positive post-purchase experience. This also positions your brand as a helpful resource beyond the initial sale.

    Reward customer loyalty with exclusive offers, discounts or membership in a loyalty program.

    3. Capture leads

    Lead magnets are incentives offered to potential customers in exchange for their contact information, typically their email addresses. 

    Examples of lead magnets include :

    • Ebooks and whitepapers : In-depth resources that delve into specific topics of interest to your target audience.
    • Webinars and workshops : Live or recorded sessions that offer valuable insights, training or demonstrations.
    • Free trials and demos : Opportunities for potential customers to experience your product or service firsthand.
    • Checklists and templates : Practical tools that help your audience solve specific challenges.
    • Exclusive offers and discounts : Special promotions are available to those who subscribe or provide their contact information.

    For instance, here’s how HubSpot uses templates as lead magnets.

    HubSpot templates

    Similarly, you can incorporate your lead magnets into relevant articles or social media posts, email campaigns and other marketing channels.

    4. Optimise your landing pages

    Understanding how visitors interact with your landing pages is a game-changer. So, the first step in optimising your landing pages is to analyse them.

    Enter Matomo’s heatmaps — the secret weapon in landing page optimisation. They visually represent how users interact with your pages, revealing where they linger, what catches their attention and where they may encounter friction. 

    Matomo Heatmaps Feature

    Here are a few landing page elements you should pay attention to :

    • Strategic visual elements : Integrate high-quality images, videos and graphics that support your message and guide visitors through the content.
    • Compelling copy : Develop concise and persuasive copy that emphasises the benefits of your offering, addressing user pain points.
    • Effective CTA : Ensure your CTA is prominently displayed, using compelling language and colours that stand out.
    • Mobile responsiveness : Optimise your landing pages for various devices, especially considering the prevalence of mobile users.
    • Minimal form fields : Reduce friction by keeping form fields to a minimum, requesting only essential information.
    • ​​Leverage social proof : Integrate testimonials, reviews and trust badges to build trust and credibility.
    • A/B testing : Experiment with variations in design, copy and CTAs through A/B testing, allowing data to guide your decisions.

    Try Matomo for Free

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

    No credit card required

    5. ​​Use compelling Calls to Action (CTAs)

    Crafting compelling CTAs is an art that involves a careful balance of persuasion, clarity and relevance.

    Here are a few tips you can implement to write CTAs that support your goals :

    • Use language that compels action. Instead of generic phrases like “Click Here,” opt for more persuasive alternatives such as “Unlock Exclusive Access” or “Start Your Free Trial.”
    • Make sure your CTAs are clear and straightforward. Visitors should instantly understand what action you want them to take. 
    • Tailor CTAs to the specific content on the page. Whether it’s a blog post, landing page or email, the CTA should seamlessly connect with the surrounding context.
    • Position your CTAs strategically. They should be prominently displayed and easily noticeable, guiding visitors without intruding.
    • Create a sense of urgency. Encourage immediate action by incorporating language that instils a sense of urgency. Phrases like “Limited Time Offer” or “Act Now” can prompt quicker responses.

    6. Have an active social presence

    Social media platforms are bustling hubs of activity where your target audience spends a significant portion of their online time. Cultivating a social media presence allows you to meet your audience where they are, fostering a direct line of communication.

    Moreover, the integration of shopping features directly into social media platforms transforms them into seamless shopping experiences. Nearly half of Instagram users shop weekly through the platform. 

    Also, the US social commerce sales continue to grow each year and are expected to reach $79.64 billion by 2025.

    Graph showing the UD social commerce sales 2019-2025

    7. Build a brand community

    Four in five customers consider communities important to how engaged they are with a brand.

    A strong community fosters a sense of belonging and loyalty among members. When customers feel connected to your brand and each other, they are more likely to remain loyal over the long term. 

    Also, satisfied community members often share their positive experiences with others, expanding your brand’s reach without additional marketing efforts.

    For example, Nike’s community for runners is a digital space where individuals share their running journeys, accomplishments and challenges. 

    Nike Run Club page

    By strategically building and nurturing a community, you not only enhance retention and spur referrals but also create a space where your brand becomes an integral part of your customers’ lives. 

    8. Conduct A/B tests

    A/B testing systematically compares two versions of a webpage, email or other content to determine which performs better.

    Examples of elements to A/B test :

    • CTAs : The language, colour, size and placement of CTAs can significantly impact user engagement. A/B testing allows you to discover which variations prompt the desired actions.
    • Headlines : Crafting compelling headlines is an art. Test different versions to identify which headlines resonate best with your audience, whether they are more drawn to clarity, humour, urgency or curiosity.
    • Images : Test different images to understand your audience’s visual preferences. This could include product images, lifestyle shots or graphics.
    Matomo A/B Test feature

    With Matomo’s A/B testing feature, you can test various elements to see which is successful in converting visitors or moving them to the next stage of the conversion funnel.

    9. Leverage social proof

    In an era where consumers are inundated with choices, the opinions, reviews and endorsements of others serve as beacons, guiding potential customers through the decision-making process. 

    Simply put — when people see that others have had positive experiences with your brand, it instils trust and confidence.

    Importance of social proof

    You can proactively gather social proof and display it prominently across your marketing channels. Here are some examples of social proof you can leverage :

    • Customer reviews : Positive reviews and testimonials from satisfied customers serve as authentic endorsements of your products or services. 
    • Case studies : In-depth case studies that showcase successful collaborations or solutions provided to clients offer a detailed narrative of your brand’s capabilities. These are particularly effective in B2B scenarios or for complex products and services.
    • User-generated content : Encourage customers to share their experiences. This could include photos, videos or posts on social media platforms, providing a dynamic and genuine portrayal of your brand.
    • Influencer endorsements : Collaborating with influencers in your industry or niche can amplify your social proof. When influencers vouch for your products or services, their followers are more likely to take notice.

    10. Measure and analyse performance

    This is a continuous loop of refinement, where you should use analysis and data-driven insights to guide your conversion funnel optimisation efforts.

    Here’s a systematic approach you can take :

    1. Identify the path users take on your site using a feature like Users Flow.
    2. Map the customer journey using a Funnels feature like the one in Matomo. 
    3. Identify the metrics that align with your conversion goals at each stage of the funnel, such as website traffic, conversion rates, click-through rates and customer acquisition costs.
    4. Assess conversion rates at different stages of the funnel. Identify areas with significant drop-offs and investigate factors that might contribute to the decline.
    5. Use heatmaps and session recordings to see first-hand how users interact with your site.
    6. Create an experiment to test and improve a specific area within your funnel using insights from the heatmaps and session recordings.
    7. A/B test, analyse the results to understand which variations performed better. Use this data to refine elements within your funnel.

    See how Concrete CMS 3x their leads with conversion optimisation.

    Conclusion 

    The customer journey is not linear. However, it involves a few specific stages your audience will go through — from first learning about your product or services to considering whether to try it. The goal is to turn them into happy and loyal customers.

    In this article, we went over strategies and practical tips you can use to guide customers through the conversion funnel. From segmenting your audience to capturing leads, optimising landing pages and running A/B tests, there are steps you can take to ensure your audience will move to the next stage.

    And of course, you have to continuously measure and analyse your performance. That’s how you know whether you’re heading in the right direction and, if not, where to correct your course. 

    For that, you need a robust web analytics solution with conversion optimisation features. Try Matomo free for 21 days and start optimising your conversion funnel—no credit card required. 

  • FFMpegCore.Exceptions.FFMpegException : 'ffmpeg exited with non-zero exit-code'

    15 octobre 2024, par secretply

    I am looking to retrieve the loudnorm data in JSON format from FFmpeg (using FFMpegCore 5.1.0). This is the code I currently have :

    


    await FFMpegArguments
    .FromPipeInput(new StreamPipeSource(fileStream.OpenReadStream()))
    .OutputToPipe(new StreamPipeSink(outputStream), options => options.WithCustomArgument("-af loudnorm=print_format=json"))
    .ProcessAsynchronously();


    


    This is the exception I get, which is similar to this old GitHub issue.

    


    System.IO.IOException: 'Pipe is broken.'

This exception was originally thrown at this call stack:
    System.IO.Pipes.PipeStream.PipeValueTaskSource.GetResult(short)
    System.IO.Pipes.PipeStream.PipeValueTaskSource.System.Threading.Tasks.Sources.IValueTaskSource.GetResult(short)
    System.IO.Stream.CopyToAsync.__Core|27_0(System.IO.Stream, System.IO.Stream, int, System.Threading.CancellationToken) in Stream.cs
    FFMpegCore.Arguments.InputPipeArgument.ProcessDataAsync(System.Threading.CancellationToken)
    FFMpegCore.Arguments.PipeArgument.During(System.Threading.CancellationToken)
    FFMpegCore.FFMpegArguments.During(System.Threading.CancellationToken)
    FFMpegCore.FFMpegArgumentProcessor.Process(Instances.ProcessArguments, System.Threading.CancellationTokenSource)
    FFMpegCore.FFMpegArgumentProcessor.ProcessAsynchronously(bool, FFMpegCore.FFOptions)


    


    I am trying to replicate the following FFmpeg command and JSON output :

    


    ffmpeg -i "file.flac" -af loudnorm=print_format=json -f null -


    


    {
        "input_i" : "-21.87",
        "input_tp" : "-7.13",
        "input_lra" : "5.00",
        "input_thresh" : "-32.04",
        "output_i" : "-24.76",
        "output_tp" : "-10.36",
        "output_lra" : "4.10",
        "output_thresh" : "-34.84",
        "normalization_type" : "dynamic",
        "target_offset" : "0.76"
}


    


    If I add .ForceFormat("null") to the OutputToPipe options, I do not get the exception but when I read the output stream, it returns an empty string. In the issue mentioned, I know they mentioned a way to get the FFMpegErrorOutput property but I do not know how that can be done. I could not find an example of outputting a stream as JSON. If anyone can point me in the right direction or can provide an alternative solution, I would greatly appreciate it.

    


    Update

    


    I made a change to the StreamPipeSource() method where I copied over the uploaded file to a MemoryStream. With this change, the following FFMpegException is thrown.

    


    FFMpegCore.Exceptions.FFMpegException: 'ffmpeg exited with non-zero exit-code (-22 - ffmpeg version 7.0.1-full_build-www.gyan.dev Copyright (c) 2000-2024 the FFmpeg developers
  built with gcc 13.2.0 (Rev5, Built by MSYS2 project)
  configuration: --enable-gpl --enable-version3 --enable-static --disable-w32threads --disable-autodetect --enable-fontconfig --enable-iconv --enable-gnutls --enable-libxml2 --enable-gmp --enable-bzlib --enable-lzma --enable-libsnappy --enable-zlib --enable-librist --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-libbluray --enable-libcaca --enable-sdl2 --enable-libaribb24 --enable-libaribcaption --enable-libdav1d --enable-libdavs2 --enable-libuavs3d --enable-libxevd --enable-libzvbi --enable-librav1e --enable-libsvtav1 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxavs2 --enable-libxeve --enable-libxvid --enable-libaom --enable-libjxl --enable-libopenjpeg --enable-libvpx --enable-mediafoundation --enable-libass --enable-frei0r --enable-libfreetype --enable-libfribidi --enable-libharfbuzz --enable-liblensfun --enable-libvidstab --enable-libvmaf --enable-libzimg --enable-amf --enable-cuda-llvm --enable-cuvid --enable-dxva2 --enable-d3d11va --enable-d3d12va --enable-ffnvcodec --enable-libvpl --enable-nvdec --enable-nvenc --enable-vaapi --enable-libshaderc --enable-vulkan --enable-libplacebo --enable-opencl --enable-libcdio --enable-libgme --enable-libmodplug --enable-libopenmpt --enable-libopencore-amrwb --enable-libmp3lame --enable-libshine --enable-libtheora --enable-libtwolame --enable-libvo-amrwbenc --enable-libcodec2 --enable-libilbc --enable-libgsm --enable-libopencore-amrnb --enable-libopus --enable-libspeex --enable-libvorbis --enable-ladspa --enable-libbs2b --enable-libflite --enable-libmysofa --enable-librubberband --enable-libsoxr --enable-chromaprint
  libavutil      59.  8.100 / 59.  8.100
  libavcodec     61.  3.100 / 61.  3.100
  libavformat    61.  1.100 / 61.  1.100
  libavdevice    61.  1.100 / 61.  1.100
  libavfilter    10.  1.100 / 10.  1.100
  libswscale      8.  1.100 /  8.  1.100
  libswresample   5.  1.100 /  5.  1.100
  libpostproc    58.  1.100 / 58.  1.100
[in#0 @ 000001bda86c67c0] Error opening input: Invalid argument
Error opening input file \\.\pipe\FFMpegCore_c6e5c.
Error opening input files: Invalid argument)'


    


  • Privacy-friendly analytics : The benefits of an ethical, GDPR-compliant platform

    13 juin, par Joe

    Your visitors shouldn’t feel like you’re spying on them — even if you’re just trying to improve the user experience or track your marketing efforts. 

    While many analytics platforms make customers feel that way thanks to intrusive cookie consent banners and highly personalised ads, there is a growing movement towards ethical, privacy-friendly analytics.

    In this article, you’ll learn what privacy-friendly analytics is, why it matters, what to look for in a solution and which of the leading providers is right for you. 

    What is privacy-friendly analytics ? 

    Privacy-friendly analytics is a form of website analytics that collects and analyses data in a way that respects the user’s privacy. It’s a type of ethical web analytics.

    Privacy-friendly platforms limit personal data collection and anonymise individual user data while being transparent about collection and tracking methods. They help companies adhere to data protection laws (like GDPR, CCPA, and HIPAA) and new privacy laws (like OCPA, FDBR, and TDPSA) without configuring custom settings. 

    Why use privacy-friendly analytics ? 

    Millions of businesses choose privacy-friendly analytics platforms like Matomo. Here are a few reasons why : 

    Build trust with customers

    Research shows that the vast majority of consumers don’t trust companies with their data, believing that they prioritise profits over data protection. 

    Privacy-friendly analytics can help businesses prove they aren’t out to profit from consumer data and regain customer trust. This can ultimately boost revenue. According to Cisco’s Data Privacy Benchmark Study, organisations gain $180 for every $100 spent on privacy. 

    Comply with privacy regulations

    Data privacy regulations, such as GDPR, protect consumer privacy and establish strict rules governing how businesses can collect and use personal data.

    The cost of non-compliance is high. Under GDPR, fines can be up to €20 million, or 4% of worldwide annual revenue.

    Thanks to features like data anonymisation and the default use of first-party cookies, privacy-friendly analytics platforms can support and strengthen compliance efforts. 

    In fact, the French Data Protection Authority (CNIL) approved Matomo as one of the only web analytics tools to collect data without tracking consent.

    Minimise the impact of a breach

    According to IBM’s Cost of a Data Breach report, the average cost of a data breach is nearly $4.5 million. The more personally identifiable information (PII) is involved, the higher the fines and penalties. 

    A privacy-friendly analytics tool can reduce the potential impact of a breach by minimising the amount of personal information you hold. 

    Is Google Analytics privacy-friendly ?

    Google may be the best-known analytics platform, but it’s not the best choice for businesses that want to collect data responsibly and ethically. 

    Here are just a few of Google Analytics’s privacy issues :

    • It uses analytics data to run its advertising business.
    • It may train large language models like Gemini with analytics data.
    • It requires a specific setup to be GDPR compliant that isn’t available out of the box.

    Google Analytics’s ongoing issues with privacy laws like GDPR also raise doubt. The French and Austrian Data Protection Authorities have banned Google Analytics in the past, and there is no guarantee they won’t do so again. 

    What to look for in privacy-friendly analytics ?

    Several privacy-friendly analytics tools are available. To find the right one for your brand, look for the following features.

    Data ownership

    Choose a provider that gives you as much control over your users’ data as possible. Ideally, this will be via an on-site solution where you store data on your servers. For cloud-based options, ensure your analytics provider can’t access, use or sell it.

    With 100% data ownership, you have the power to protect your users’ privacy. You know where your customer data is stored and what’s happening to it without external influence.

    Open source

    The only genuinely privacy-friendly software is open-source software. Open-source software means anyone can review the code to ensure it does what it promises — in this case, maximising privacy. 

    Matomo is an open-source software company. Our source code is on GitHub, where everyone can see precisely how our platform tracks and stores user data. A community of developers also regularly examines and reviews our code to further strengthen security. 

    Data anonymisation 

    Privacy-friendly analytics should allow marketers to completely anonymise the data they collect. They achieve this through several techniques like IP anonymisation and pseudonymised user IDs that modify or remove personally identifiable data so it can’t be linked to individuals.

    Data anonymisation settings Matomo

    Matomo’s data anonymisation settings 

    In Matomo, for example, you can anonymise the following things in the platform’s Privacy settings :

    • IP address
    • Location
    • User ID

    IP address anonymisation is enabled by default in Matomo.

    No data sampling 

    Data sampling involves extrapolating analytics reports from an incomplete data set. Google Analytics uses this practice and relies on estimates, leading to incomplete and potentially inaccurate results.

    Privacy-friendly analytics should provide 100% accurate insights without making assumptions about your users’ data.

    GDPR compliance

    Privacy-friendly web analytics platforms adhere to even the strictest privacy laws, including GDPR, HIPAA and CCPA, thanks to the following features :

    • Data anonymisation
    • Cookieless tracking
    • EU data storage
    • First-party cookies by default
    Data subject access request setting Matomo

    Matomo data subject access request settings
    (Image Source)

    Privacy-first platforms also make it easy for companies to fulfil data subject access requests. In Matomo, for example, a dedicated feature lets you find, download and delete all of the data you hold about specific individuals. 

    Cookieless tracking

    Cookieless tracking is a form of visitor tracking that uses methods other than cookies to identify individual users. It is more privacy-friendly because no personal data is collected, and users can withhold consent from cookie banners.

    Matomo uses the most privacy-friendly industry-leading cookieless tracking method, config_id, to anonymously track visitors without fingerprinting them. 

    Top 3 privacy-friendly analytics platforms

    We’ve shortlisted three of the leading privacy-friendly analytics platforms. Learn what they offer, what makes them different and how much they cost.

    Matomo

    Matomo is an open-source web analytics tool and privacy-focused Google Analytics alternative trusted by over one million sites in over 190 countries and over 50 languages. 

    Matomo dashboard

    Matomo dashboard

    Matomo prioritises privacy and keeping businesses compliant with global privacy regulations like GDPR, CCPA and HIPAA. The data you collect is 100% accurate and yours alone. We don’t share it or use it for other purposes. 

    Benefits

    • Matomo’s all-in-one solution offers traditional web and behavioural analytics, such as heatmaps and session recordings. It also includes a free, open-source tag manager
    • Matomo gives you the choice of where to store your user’s data. With Matomo Cloud, that’s in our European servers. With Matomo On-Premise, that’s on your servers.
    • Matomo is open-source. Hundreds of independent developers have reviewed our code, and you can view it yourself on GitHub.

    Pricing 

    Hosting Matomo On-Premise is free, while Matomo Cloud costs $26 per month. 

    Fathom

    Fathom Analytics is a simple, easy-to-use alternative to Google Analytics that puts a premium on privacy. 

    Fathom dashboard

    Fathom dashboard
    (Image Source)

    Fathom has made its platform as easy to use as possible. You can install Fathom on any website or CMS using a single line of code. It also means the platform won’t massively impact your site’s speed or SEO performance. 

    Benefits

    • Fathom complies with all major privacy regulations, including GDPR and CCPA.
    • Fathom doesn’t sample data. It also blocks bots and scrapers, so you only see human visitors.
    • Fathom anonymises IP addresses, so you don’t have to show cookie banners.

    Drawbacks

    • Fathom doesn’t offer many of Matomo’s advanced features like e-commerce tracking, heatmaps, and session recordings.
    • The premium version of Fathom is not open-source. 

    Pricing 

    From $15 per month.

    Plausible

    Plausible Analytics is an open-source, privacy-friendly analytics tool built and hosted in the EU.

    Plausible dashboard

    Plausible dashboard
    (Image Source)

    The platform launched in 2019 as a lightweight, easy-to-use alternative to Google Analytics. Its simplicity is a big selling point. Instead of dozens of menus, it presents the information you need on a single page.

    Benefits

    • Plausible boasts an ultra-lightweight script, which means it has a minimal impact on page loading times. 
    • Plausible is GDPR and CCPA-compliant by design, so there’s no need for cookie banners.
    • Plausible is an open-source software with the source code available on GitHub.

    Drawbacks

    • Plausible lacks advanced privacy controls like a GDPR manager.
    • It has none of Matomo’s advanced features like A/B testing, session recordings or heatmaps. 

    Pricing 

    From $9 per month

    Try Matomo for free

    Ready to try a privacy-friendly analytics solution ? Making the switch is easy with Matomo, as it’s one of the only platforms to import historical Google Analytics data. You can also try Matomo for free for 21 days — no credit card required.