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MediaSPIP 0.1 Beta version
25 avril 2011, par kent1MediaSPIP 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 (...) -
Amélioration de la version de base
13 septembre 2013Jolie sélection multiple
Le plugin Chosen permet d’améliorer l’ergonomie des champs de sélection multiple. Voir les deux images suivantes pour comparer.
Il suffit pour cela d’activer le plugin Chosen (Configuration générale du site > Gestion des plugins), puis de configurer le plugin (Les squelettes > Chosen) en activant l’utilisation de Chosen dans le site public et en spécifiant les éléments de formulaires à améliorer, par exemple select[multiple] pour les listes à sélection multiple (...) -
Mise à jour de la version 0.1 vers 0.2
24 juin 2013, par kent1Explications 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 (...)
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8 Best Tools to Analyse Website Traffic
12 septembre 2023, par Erin — Analytics Tips, MarketingDo you want to analyse your website traffic ?
Maybe you want to know how well you’re converting your traffic. Or maybe you’re looking to track the performance and ROI of your marketing campaigns. Regardless, you won’t get far without relying on a dependable web traffic analysis platform.
In this article, we’ve compiled a list of the top web analytics tools available (including the pricing for each one).
Let’s dive in.
What is website traffic analysis ?
Curious about what it means to analyse website traffic ?
Simply put, it involves collecting and examining data about your website visitors and the actions they take. Marketers, analysts and website owners can then take this data and use it to optimise their strategy to improve site traffic, conversion rates and ROI.
A website analytics tool is software that tracks and measures various visitor activities and behaviours on your website. Common metrics include pageviews, traffic source, bounce rate and average time on page. Using a web analytics solution can give you insights into what’s working (and what’s not working) so you can optimise your website, campaigns or marketing strategy.
Advantages of using a website traffic analysis tool
1. Performance measurement and optimisation
Tracking the success of your marketing efforts is a challenging task. The primary benefit of using a web analytics tool is implementing effective performance measurement. If you don’t know how to measure your efforts, you won’t know what’s working and what’s not with your campaigns and content.
A web analysis tool can give you the insights you need to understand whether your marketing initiatives have been successful or if they need to be improved.
For instance, your new web design facelift may seem beautiful, but if visitors aren’t staying on your site as long and it is resulting in lower conversions, then it’s time to go back to the drawing board.
2. Audience insights to improve the user experience
Web traffic analysis platforms don’t just show you what your visitors are doing. It shows you who your audience is. A powerful website analytics tool will give you in-depth audience data, including demographics like geographical location (e.g., city, state or country), to help you better understand your audience.
Additionally, you can learn more about your audience by seeing how they interact with different content on your site. You’ll start to see that certain content performs better than others, giving you a greater understanding of your audience’s needs and wants. This means you’ll be able to tailor your website content and marketing efforts to your audience to improve the overall user experience.
3. Improve SEO
In the first two advantages, we touched on how insights can help you craft better content for the visitors already coming to your site to improve the user experience and improve conversions. But did you know that using a website analytics tool can also help improve how much traffic you’re getting to your site ?
Since a web analytics tool can help you craft better content, one side effect is an increase in traffic from organic search through SEO. Additionally, your platform will likely show you other traffic sources that your visitors are coming from (i.e., another website is referring traffic to you) so you can tap into those high-performing sources and optimise your incoming traffic over time.
Top 8 Tools to Analyse Website Traffic
Here’s a breakdown of the top eight web analytics platforms to help you analyse each tool’s unique features, price, advantages and disadvantages so you can make the best decision.
1. Matomo
Matomo is an open-source website analytics tool that’s focused on protecting user privacy and data while offering robust insights into your web traffic. It’s one of the most powerful tools to track the entire customer journey on your site.
Why Matomo : As the leader in open-source, privacy-friendly and ethical web analytics, Matomo is trusted by more than 1 million websites, including NASA, the United Nations and the European Commission.
Matomo plays well with Google Analytics to track your websites by filling in the gaps where Google Analytics has limitations (i.e., cookie consent banner requirement). Matomo combines traditional and behavioural web analytics for deeper insights while ensuring compliance with the strictest privacy regulations like GDPR, LGPD and HIPAA.
Matomo Standout Features and Integrations :
Standout features include comprehensive visitor tracking, multi-attribution, goal tracking, event tracking, custom dimensions, custom reports, automated email reports, session recordings, tag manager, roll-up reporting to pull data from multiple sites, Google Analytics importer, heatmaps and more.
Integrations include WordPress, Google Ads, Wix, Drupal, Joomla, Cloudflare, Magento, Vue, SharePoint, WooCommerce and more.
Pricing starts free for Matomo On-Premise (but requires technical skills and servers to set up) and $23/month for Matomo Cloud, which includes a 21-day free trial (no credit card required).
Pros
- Best for respecting visitor privacy
- You own your data — ensuring that it’s not shared with third parties for purposes like advertising
- Compliant with the strictest privacy laws
- Greater flexibility with open-source advantages, as well as the option to either self-host or cloud host
- Can run cookieless — providing 100% accurate data and a better user experience without the need for an annoying cookie consent banner
- Exceptional customisability — from white labeling, alerts and custom dimensions to dashboards and reports, tailor your insights for faster decisions, deeper insights and superior outcomes
Cons
- On-Premise is free, but there are additional costs for advanced features
- On-Premise requires servers and technical expertise to manage
2. Google Analytics
Google Analytics is the most well-known and used web analytics platform in the world, with nearly 30 million active websites.
Why Google Analytics : It’s one of the leading web traffic analysis tools backed by the Alphabet group of companies. For anyone getting started, it’s a great free option to understand your web traffic and your audience.
Google Analytics Standout Features and Integrations :
Standout features include in-depth visitor tracking, event tracking with Google Analytics 4 (GA4), easy integration with Google marketing tools (i.e., Google Search Console and Google Ads), custom reports and easy data importing from third-party sources.
Integrations include Google Ads, Google Webmaster Tools, AdSense, WordPress, Wix, Shopify, Zendesk, Facebook, Marketo, WordPress, Hotjar, SEMrush, Salesforce, Hootsuite and more.
Pricing is free.
Pros
- Detailed audience insights
- Customisable reports
- Seamless integration with other Google products
- Easy to set up
Cons
- Not privacy-friendly — you don’t own your data (data is shared with third parties for advertising purposes)
- Complex interface
- Requires cookie consent banner for GDPR compliance, which negatively impacts data accuracy and user experience
3. Fathom Analytics
Founded in 2018, Fathom Analytics is a privacy-friendly and lightweight web analytics tool. The platform offers a simple, minimalistic dashboard.
Why Fathom Analytics : Fathom Analytics is a minimalistic tool to help website owners gain insights into customer behaviour without compromising on privacy. It’s an easy-to-use tool that offers a simplified breakdown of the most popular data points. For newcomers to web analytics seeking essential metrics like visitor counts and traffic sources, Fathom Analytics provides a straightforward, cost-effective solution.
Fathom Analytics Standout Features and Integrations :
Standout features include easy, automated GA4 importing with lifetime data retention, a single-page dashboard for a quick overview of metrics, traffic summaries for chosen timeframes, visually striking graphs for better data digestion and privacy protection covering major compliance regulations.
Integrations include Google Analytics, Squarespace, Drupal, WordPress, Discourse, Bloggi, ConvertKit, Webflow, Transistor, Remix, Gatsby and Carrd.
Pricing starts at $14/month for up to 100k pageviews (with a 30-day free trial).
Pros
- Doesn’t use cookies
- Out-of-the-box GDPR, ePrivacy, PECR and CCPA compliance
- Great for visual data insights
- Lightweight tracking script for fast loading
Cons
- Can’t easily see traffic trends on specific pages
- Metrics may be too simple for those wanting advanced analytics
4. Mixpanel
Mixpanel is a web analytics platform that helps you track visitors as well as improve customer retention. The software has 8,000 customers worldwide, including Netflix, Yelp, BuzzFeed and CNN.
Why Mixpanel : Mixpanel is great for websites with e-commerce functionality. The tool helps you understand both your site visitors and your customers so you can optimise your customer experience and improve conversions.
Mixpanel Standout Features and Integrations :
Standout features include deep insights into how your products are being used, including your most popular features, user cohorts that let you segment users based on specific actions, and visual analysis showing where users drop off.
Integrations include Google Cloud, Figma, Mailchimp, Zoho CRM, Databox, Marketo, Hotjar, Slack, Zapier, Amazon Web Services, Google Ads and HubSpot.
Pricing starts free for up to 20 million events per month and $20/month for Growth.
Pros
- Interface is easy for beginners
- Exhaustive reporting options
- Custom event tracking options
- Predict user actions based on data science models
- Send targeted messages to specific users to encourage action
Cons
- User-based pricing isn’t the most ideal for everyone
- Alert management can be confusing
5. Kissmetrics
Kissmetrics is a marketing and product analytics tool that helps e-commerce and SaaS companies grow through qualitative data insights. The web analytics tool is trusted by 10,000 users, including Microsoft, Unbounce, AWeber, Dropbox DocSend and SendGrid.
Why Kissmetrics : As an e-commerce-driven analytics platform, the platform is best suited for Enterprise businesses, but it also offers flexible pricing plans that make it easy for someone to get their feet wet with website analytics.
Kissmetrics Standout Features and Integrations :
Standout features include a customisable dashboard to see key metrics at a glance, comprehensive visitor tracking, cohort analysis including power user tracking to understand your most active visitors and customers and insights into customer lifetime value and churn rate.
Integrations include Chargify, HubSpot, Slack, Live Chat, Marketo, Optimizely, Mailchimp, Recurly, Wufoo Forms, Facebook Ads, WordPress, Shopify and WooCommerce.
Pricing starts at $0.0025/event for the Pay As You Go Plan, $25.99/month for Build Your Plan and $199/month for Small Teams, which includes a 7-day free trial.
Pros
- Flexible pricing options
- Easy to install
- Several analytics viewing options
- Visual checkout funnel insights
- Track sessions by desktop or mobile
Cons
- Despite more pricing options, it’s still quite expensive overall
- Difficult to use for beginners
6. Adobe Analytics
Adobe Analytics is a web and marketing analytics platform within the Adobe Experience Platform. Used by over 170,000 businesses, it’s one of the most popular analytics solutions available.
Why Adobe Analytics : Adobe Analytics was created for large organisations. It’s essentially the enterprise version of Google Analytics. The tool does a great job of offering a customised analytics solution that’s capable of delivering personalised user experiences at scale.
Adobe Analytics Standout Features and Integrations :
Standout features include attribution, AI-driven predictive analytics, robust customer segmentation and automation based on customer behaviour.
Integrations include all Adobe products, Salesforce, Hootsuite, Contentsquare, Sisense, Mouseflow, Google Ads, Google Search Console, HubSpot and Microsoft Teams.
Pricing is custom and available upon request, but users can expect to pay at least $2,000 per month, and there is no free trial.
Pros
- Built for enterprise businesses
- Seamless workflow integration for Adobe Experience Cloud users
- Incredible customisation options
- Integration process is flexible
- Capable of accurately tracking large volumes of traffic
Cons
- Very expensive
- Not suitable for small businesses
- The setup is challenging for beginners
7. SimilarWeb
SimilarWeb is a robust analytics platform used to track your website data and compare it to other websites. Backed by a team of experienced data scientists and mathematicians for in-depth website traffic and search engine analysis. Founded in 2007, the platform is trusted by major brands like Adidas, DHL, PepsiCo and Walmart.
Why SimilarWeb : The tool relies on multiple scientific methodologies and approaches to data analysis to help provide a better understanding of visitors and customers. The platform is great for crafting prediction models for customer acquisitions by using machine learning to offer SEO insights and competitive analysis.
SimilarWeb Standout Features and Integrations :
Standout features include competition traffic and engagement analysis, in-depth visitor tracking, keyword analysis to optimise your SEO and search ads, affiliate traffic analysis, search traffic analysis and funnel insights.
Integrations include Salesforce, HubSpot, Google Analytics, Google Search Console, Shift, AT Internet, Adverity, SimilarTech, Biscience and more.
Pricing starts at $125/month for the Starter plan, which includes a 7-day free trial.
Pros
- Has a user-friendly dashboard for simple insights
- Highly customisable platform to meet your specific needs
- Easy competition analysis
- Funnel insights to improve your conversion rates
- Great customer support
Cons
- Expensive pricing
- Doesn’t include a code snippet to pull data directly from websites
- Doesn’t show sub-domains of your site
8. Hotjar
Hotjar is a behavioural website analytics tool with a focus on providing insights into individual user sessions with features like heatmaps and session recordings. Founded in 2014, Hotjar is used by 900,000 sites around the world.
Why Hotjar : Unlike traditional web analytics tools like Google Analytics, Hotjar is a behavioural analytics tool that provides in-depth behaviour insights session by session. The tool offers a variety of features that give you a sneak peek into your users’ behaviours by watching how they interact with your site action by action.
Hotjar Standout Features and Integrations :
Standout features include comprehensive heat mapping, visitor session recordings to see what visitors did moment by moment, feedback polls to gain insights from site visitors and conversion funnels to help you analyse leaks in your funnel at each conversion stage.
Integrations include HubSpot, Slack, Jira, WordPress, Shopify, Google Analytics, Mixpanel, Microsoft Teams, Zapier and ClickFunnels.
Pricing starts at free for the Basic plan and $80/month for Business, which includes a 15-day free trial.
Pros
- You can see exactly where visitors click, move and scroll
- Watch session replays to see what visitors did step-by-step
- See what percentage of visitors take certain actions
- Data segmentation features to help you understand KPIs in-depth
- There are no user limits with the platform, making it easy to scale
Cons
- While it offers behavioural analytics, Hotjar doesn’t provide insights into traditional web analytics like Matomo does, including traffic sources and bounce rate
- History data monitoring is complex
Elevate your website performance today
Understanding your visitors’ behaviour and needs is essential when you’re looking to improve your website performance.
By leveraging a website analytics platform, you’ll be able to gain new insights into your visitors and use insights from your content and campaign performance to improve your user experience.
If you’re looking to start using a web traffic analysis tool today, then Matomo is an excellent choice.
Matomo is a powerful, privacy-friendly and compliant tool that gives in-depth insights into your audience, your content and your marketing efforts to help you improve your site’s performance.
The platform also includes a variety of robust behavioural analytics features like heatmaps, session recording and more, which are included in your Cloud subscription.
Start your 21-day free trial of Matomo today (no credit card required).
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A Beginner’s Guide to Omnichannel Analytics
14 avril 2024, par ErinLinear customer journeys are as obsolete as dial-up internet and floppy disks. As a marketing manager, you know better than anyone that customers interact with your brand hundreds of times across dozens of channels before purchasing. That can make tracking them a nightmare unless you build an omnichannel analytics solution.
Alas, if only it were that simple.
Unfortunately, it’s not enough to collect data on your customers’ complex journeys just by buying an omnichannel platform. You need to generate actionable insights by using marketing attribution to tie channels to conversions.
This article will explain how to build a useful omnichannel analytics solution that lets you understand and improve the customer journey.
What is omnichannel analytics ?
Omnichannel analytics collects and analyses customer data from every touchpoint and device. The goal is to collect all this omnichannel data in one place, creating a single, real-time, unified view of your customer’s journey.
Unfortunately, most businesses haven’t achieved this yet. As Karen Lellouche Tordjman and Marco Bertini say :
“Despite all the buzz around the concept of omnichannel, most companies still view customer journeys as a linear sequence of standardised touchpoints within a given channel. But the future of customer engagement transforms touchpoints from nodes along a predefined distribution path to full-blown portals that can serve as points of sale or pathways to many other digital and virtual interactions. They link to chatbots, kiosks, robo-advisors, and other tools that customers — especially younger ones — want to engage with.”
However, doing so is more important than ever — especially when consumers have over 300 digital touchpoints, and the average number of touchpoints in the B2B buyer journey is 27.
Not only that, but customers expect personalised experiences across every platform — that’s the kind you can only create when you have access to omnichannel data.
What might omnichannel analytics look like in practice for an e-commerce store ?
An online store would integrate data from channels like its website, mobile app, social media accounts, Google Ads and customer service records. This would show how customers find its brand, how they use each channel to interact with it and which channels convert the most customers.
This would allow the e-commerce store to tailor marketing channels to customers’ needs. For instance, they could focus social media use on product discovery and customer support. Google Ads campaigns could target the best-converting products. While all this is happening, the store could also ensure every channel looks the same and delivers the same experience.
What are the benefits of omnichannel analytics ?
Why go to all the trouble of creating a comprehensive view of the customer’s experience ? Because you stand to gain some pretty significant benefits when implementing omnichannel analytics.
Understand the customer journey
You want to understand how your customers behave, right ? No other method will allow you to fully understand your customer journey the way omnichannel analytics does.
It doesn’t matter how customers engage with your brand — whether that’s your website, app, social media profiles or physical stores — omnichannel analytics capture every interaction.
With this 360-degree view of your customers, it’s easy to understand how they move between channels, where they encounter issues and what bottlenecks prevent them from converting.
Deliver better personalisation
We don’t have to tell you that personalisation matters. But do you know just how important it is ? Since 56% of customers will become repeat buyers after a personalised experience, delivering them as often as possible is critical.
Omnichannel analytics helps in your quest for personalisation by highlighting the individual preferences of customer segments. For example, e-commerce stores can use omnichannel analytics to understand how shoppers behave across different devices and tailor their offers accordingly.
Upgrade the customer experience
Omnichannel analytics gives you the insights to improve every aspect of the customer experience.
For starters, you can ensure a consistent brand experience across all your top channels by making sure they look and behave the same.
Then, you can use omnichannel insights to tailor each channel to your customers’ requirements. For example, most people interacting with your brand on social media may seek support. Knowing that you can create dedicated support accounts to assist users.
Improve marketing campaigns
Which marketing campaigns or traffic sources convert the most customers ? How can you improve these campaigns ? Omnichannel analytics has the answers.
When you implement omnichannel analytics you automatically track the performance of every marketing channel by attributing each conversion to one or more traffic sources. This lets you see whether Google Ads bring in more customers than your SEO efforts. Or whether social media ads are the most profitable acquisition channel.
Armed with this information, you can improve your marketing efforts — either by focusing on your profitable channels or rectifying problems that stop less profitable channels from converting.
What are the challenges of omnichannel analytics ?
There are three challenges when implementing an omnichannel analytics solution :
- Complex customer journeys : Customer journeys aren’t linear and can be incredibly difficult to track.
- Regulatory and privacy issues : When you start gathering customer data, you quickly come up against consumer privacy laws.
- No underlying goal : There has to be a reason to go to all this effort, but brands don’t always have goals in mind before they start.
You can’t do anything about the first challenge.
After all, your customer journey will almost never be linear. And isn’t the point of implementing an omnichannel solution to understand these complex journeys in the first place ? Once you set up omnichannel analytics, these journeys will be much easier to decipher.
As for the other two :
Using the right software that respects user privacy and complies with all major privacy laws will avoid regulatory issues. Take Matomo, for instance. Our software was designed with privacy in mind and is configured to follow the strictest privacy laws, such as GDPR.
Tying omnichannel analytics to marketing attribution will solve the final challenge by giving your omnichannel efforts a goal. When you tie omnichannel analytics to your marketing efforts, you aren’t just getting a 360-degree view of your customer journey for the sake of it. You are getting that view to improve your marketing efforts and increase sales.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
How to set up an omnichannel analytics solution
Want to set up a seamless analytical environment that incorporates data from every possible source ? Follow these five steps :
Choose one or more analytics providers
You can use several tools to build an omnichannel analytics solution. These include web and app analytics tools, customer data platforms that centralise first-party data and business intelligence tools (typically used for visualisation).
Which tools you use will depend on your goals and your budget — the loftier your ambitions and the higher your budget, the more tools you can use.
Ideally, you should use as few tools as possible to capture your data. Most teams won’t need business intelligence platforms, for example. However, you may or may not need both an analytics platform and a customer data platform. Your decision will depend on how many channels your customers use and how well your analytics tool tracks everything.
If it can capture web and app usage while integrating with third-party platforms like your back-end e-commerce platform, then it’s probably enough.
Collect accurate data at every touchpoint
Your omnichannel analytics efforts hinge on the quantity and quality of data you can collect. You want to gather data from every touchpoint possible and store that data in as few places as possible. That’s why choosing as few tools as possible in the step above is so important.
So, where should you start ? Common data sources include :
- Your website
- Apps (iOS and Android)
- Social media profiles
- ERPs
- PoS systems
At the same time, make sure you’re tracking all relevant metrics. Revenue, customer engagement and conversion-focused metrics like conversion rate, dwell time, cart abandonment rate and churn rate are particularly important.
Set up marketing attribution
Setting up marketing attribution (also known as multi-touch attribution) is essential to tie omnichannel data to business goals. It’s the only way to know exactly how valuable each marketing channel is and where each customer comes from.
You’ll want to use multi-touch attribution, given you have data from across the customer journey.
Multi-touch attribution models can include (but are not limited to) :
- Linear : where each touchpoint is given equal weighting
- Time decay : where touchpoints are more valuable the nearer they are to conversion
- Position-based : where the first and last touch points are more valuable than all the others.
You don’t have to use just one of the models above, however. One of the benefits of using a web analytics tool like Matomo is that you can choose between different attribution models and compare them.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
Create reports that help you visualise data
Dashboards are your friend here. They’ll let you see KPIs at a glance, allowing you to keep track of day-to-day changes in your customer journey. Ideally, you’ll want a platform that lets you customise dashboard widgets so only relevant KPIs are shown.
Setting up standard and custom reports is also important. Custom reports allow you to choose metrics and dimensions that align with your goals. They will also allow you to present your data most meaningfully to your team, increasing the likelihood they act upon insights.
Analyse data and take action
Now that you have customer journey data at your fingertips, it’s time to analyse it. After all, there’s no point in implementing an omnichannel analytics solution if you aren’t going to take action.
If you’re unsure where to start, re-read the benefits we listed at the start of this article. You could use your omnichannel insights to improve your marketing campaigns by doubling down on the channels that bring in the best customers.
Or you could identify (and fix) bottlenecks in the customer journey so customers are less likely to fall out of your funnel between certain channels.
Just make sure you take action based on your data alone.
Make the most of omnichannel analytics with Matomo
A comprehensive web and app analytics platform is vital to any omnichannel analytics strategy.
But not just any solution will do. When privacy regulations impede an omnichannel analytics solution, you need a platform to capture accurate data without breaking privacy laws or your users’ trust.
That’s where Matomo comes in. Our privacy-friendly web analytics platform ensures accurate tracking of web traffic while keeping you compliant with even the strictest regulations. Moreover, our range of APIs and SDKs makes it easy to track interactions from all your digital products (website, apps, e-commerce back-ends, etc.) in one place.
Try Matomo for free for 21 days. No credit card required.
Try Matomo for Free
21 day free trial. No credit card required.
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The 7 GDPR Principles : A Guide to Compliance
11 août 2023, par Erin — Analytics Tips, GDPRWe all knew it was coming. It’s all anyone could talk about — the General Data Protection Regulation (GDPR) took effect on 25 May 2018.
You might think five years would have been plenty of time for organisations to achieve compliance, yet many have failed to do so. As of 2022, 81% of French businesses and 95% of American companies were still not compliant.
If you’re one of these organisations still working on compliance, this blog will provide valuable information about the seven GDPR principles and guide you on your way to compliance. It will also explore how web analytics tools can help organisations improve transparency, ensure data security and achieve GDPR compliance.
What is GDPR ?
The European Union (EU) created the General Data Protection Regulation (GDPR) to grant individuals greater control over their data and promote transparency in data processing.
Known by many other names across Europe (e.g., RGPD, DSGVO, etc.), the GDPR created a set of rules surrounding the handling of personal data of EU citizens and residents, to make sure organisations aren’t being irresponsible with user names, locations, IP addresses, information gleaned from cookies, and so on.
Organisations must assume several responsibilities to achieve GDPR compliance, regardless of their physical location. These obligations include :
- Respecting user rights
- Implementing documentation and document retention policies
- Ensuring data security
Why is GDPR compliance important ?
Data has become a valuable asset for businesses worldwide. The collection and use of data is a feature of almost every sector. However, with increased data usage comes a greater responsibility to protect individuals’ privacy and rights.
A YouGov study conducted in 17 key markets found that two in three adults worldwide believe tech corporations across all markets have too much control over their data.
GDPR is the most extensive government framework aiming to tackle the increasing concern over data collection and handling. GDPR safeguards personal data from misuse, unauthorised access and data breaches. It ensures that businesses handle information responsibly and with respect for individual privacy. It also provided a foundation for similar laws to be created in other countries, including China, which is among the least concerned regions (56%), along with Sweden (54%) and Indonesia (56%).
GDPR has been pivotal in safeguarding personal data and empowering individuals with more control over their information. Compliance with GDPR builds trust between businesses and their customers. Currently, 71% of the countries in the world are covered by data protection and privacy legislation.
What are the risks of non-compliance ?
We’ve established the siginficance of GDPR, but what about the implications — what does it mean for your business ? The consequences of non-compliance can be severe and are not worth being lax about.
According to Article 83 of the GDPR, you can be penalised up to 4% of your annual global revenue or €20 million, whichever is higher, for violations. For smaller businesses, such substantial fines could be devastating. Non-compliance could even result in legal action from individuals or data protection authorities, leading to further financial losses.
Potential outcomes are not just legal and financial. GDPR violations can significantly damage your reputation as a company. Non-compliance could also cost you business opportunities if your policies and processes do not comply and, therefore, do not align with potential partners. Customers trust businesses that take data protection seriously over those that do not.
Finally, and perhaps the most timid outcome on the surface, individuals have the right to complain to data protection authorities if they believe you violate their data rights. These complaints can trigger an investigation, and if your business is found to be breaking the rules, you could face all of the consequences mentioned above.
You may think it couldn’t happen to you, but GDPR fines have collectively reached over €4 billion and are growing at a notable rate. Fines grew 92% from H1 2021 compared with H1 2022. A record-breaking €1.2 billion fine to Meta in 2023 is the biggest we’ve seen, so far. But smaller businesses can be fined, too. A bank in Hungary was fined €1,560 for not erasing and correcting data when the subject requested it. (Individuals can also be fined in flagrant cases, like a police officer fined €1,400 for using police info for private purposes.)
The 7 GDPR principles and how to comply
You should now have a good understanding of GDPR, why it’s important and the consequences of not being compliant.
Your first step to compliance is to identify the personal data your organisation processes and determine the legal basis for processing each type. You then need to review your data processing activities to ensure they align with the GDPR’s purpose and principles.
There are seven key principles in Article 5 of the GDPR that govern the lawful processing of personal data :
Lawfulness, fairness and transparency
This principle ensures you collect and use data in a legal and transparent way. It must be collected with consent, and you must tell your customers why you need their data. Data processing must be conducted fairly and transparently.
How to comply
- Review your data practices and identify if and why you collect personal data from customers.
- Learn what personally identifiable information (PII) is.
- Update your website and forms to include a clear and easy-to-understand explanation of why you need their data and what you’ll use it for.
- Obtain explicit consent from individuals when processing their sensitive data.
- Add a cookie consent banner to your website, informing users about the cookies you use and why.
- Website analytics tools like Google Analytics and Matomo offer the ability to create cookie consent banners and integrate with Consent Management Platforms (CMPs) to manage user consent and privacy settings.
- Matomo also offers a setting without tracking cookies, in which case you would not need to add the cookie consent banner.
- Privacy notices must be accessible at all times.
- To ensure your cookies are GDPR compliant, you must :
- Get consent before using any cookies (except strictly necessary cookies).
- Clearly explain what each cookie tracks and its purpose.
- Document and store user consent.
- Don’t refuse access to services if users do not consent to the use of certain cookies.
- Make the consent withdrawal process simple.
Use tools like Matomo that can be configured to automatically anonymise data so you don’t process any personal data.
Purpose limitation
You can only use data for the specific, legitimate purposes you told your visitors, prospects or customers about at the time of collection. You can’t use it for anything else without asking again.
How to comply
- Define the specific purposes for collecting personal data (e.g., processing orders, sending newsletters).
- Ensure you don’t use the data for any other purposes without getting explicit consent from the individuals.
Data minimisation
Data minimisation means you should only collect the data you need, aligned with the stated purpose. You shouldn’t gather or store more data than necessary. Implementing data minimisation practices ensures compliance and protects against data breaches.
How to comply
- Identify the minimum data required for each purpose.
- Conduct a data audit to identify and eliminate unnecessary data collection points.
- Don’t ask for unnecessary information or store data that’s not essential for your business operations.
- Implement data retention policies to delete data when it is no longer required.
Accuracy
You are responsible for keeping data accurate and up-to-date at all times. You should have processes to promptly erase or correct any data if you have incorrect information for your customers.
How to comply
- Implement a process to regularly review and update customer data.
- Provide an easy way for customers to request corrections to their data if they find any errors.
Storage limitation
Data should not be kept longer than necessary. You should only hold onto it for as long as you have a valid reason, which should be the purpose stated and consented to. Securely dispose of data when it is no longer needed. There is no upper time limit on data storage.
How to comply
- Set clear retention periods for the different types of data you collect.
- Develop data retention policies and adhere to them consistently.
- Delete data when it’s no longer needed for the purposes you specified.
Integrity and confidentiality
You must take measures to protect data from unauthorised or unlawful access, like keeping it locked away and secure.
How to comply
- Securely store personal data with encryption and access controls, and keep it either within the EU or somewhere with similar privacy protections.
- Train your staff on data protection and restrict access to data only to those who need it for their work.
- Conduct regular security assessments and address vulnerabilities promptly.
Accountability
Accountability means that you are responsible for complying with the other principles. You must demonstrate that you are following the rules and taking data protection seriously.
How to comply
- Appoint a Data Protection Officer (DPO) or someone responsible for data privacy in your company.
- Maintain detailed records of data processing activities and any data breaches.
- Data breaches must be reported within 72 hours.
Compliance with GDPR is an ongoing process, and it’s vital to review and update your practices regularly.
What are GDPR rights ?
Individuals are granted various rights under the GDPR. These rights give them more control over their personal data.
The right to be informed : People can ask why their data is required.
What to do : Explain why personal data is required and how it will be used.
The right to access : People can request and access the personal data you hold about them.
What to do : Provide a copy of the data upon request, free of charge and within one month.The right to rectification : If data errors or inaccuracies are found, your customers can ask you to correct them.
What to do : Promptly update any incorrect information to ensure it is accurate and up-to-date.The right to object to processing : Your customers have the right to object to processing their data for certain purposes, like direct marketing.
What to do : Respect this objection unless you have legitimate reasons for processing the data.Rights in relation to automated decision-making and profiling : GDPR gives individuals the right not to be subject to decisions based solely on automated processing, including profiling, if it significantly impacts them.
What to do : Offer individuals the right to human intervention and express their point of view in such cases.The right to be forgotten : Individuals can request the deletion of their data under certain circumstances, such as when the data is no longer necessary or when they withdraw consent.
What to do : Comply with such requests unless you have a legal obligation to keep the data.The right to data portability : People can request their personal data in a commonly used and machine-readable format.
What to do : Provide the data to the individual if they want to transfer it to another service provider.The right to restrict processing : Customers can ask you to temporarily stop processing their data, for example, while they verify its accuracy or when they object to its usage.
What to do : Store the data during this period but do not process it further.Are all website analytics tools GDPR compliant ?
Unfortunately, not all web analytics tools are built the same. No matter where you are located in the world, if you are processing the personal data of European citizens or residents, you need to fulfil GDPR obligations.
While your web analytics tool helps you gain valuable insights from your user base and web traffic, they don’t all comply with GDPR. No matter how hard you work to adhere to the seven principles and GDPR rights, using a non-compliant tool means that you’ll never be fully GDPR compliant.
When using website analytics tools and handling data, you should consider the following :
Collection of data
Aligned with the lawfulness, fairness and transparency principle, you must collect consent from visitors for tracking if you are using website analytics tools to collect visitor behavioural data — unless you anonymise data entirely with Matomo.
To provide transparency, you should also clarify the types of data you collect, such as IP addresses, device information and browsing behaviour. Note that data collection aims to improve your website’s performance and understand your audience better.
Storage of data
Assure your visitors that you securely store their data and only keep it for as long as necessary, following GDPR’s storage limitation principle. Clearly state the retention periods for different data types and specify when you’ll delete or anonymise it.
Usage of data
Make it clear that to comply with the purpose limitation principle, the data you collect will not be used for other purposes beyond website analytics. You should also promise not to share data with third parties for marketing or unrelated activities without their explicit consent.
Anonymisation and pseudonymisation
Features like IP anonymisation to protect users’ privacy are available with GA4 (Google Analytics) and Matomo. Describe how you use these tools and mention that you may use pseudonyms or unique identifiers instead of real names to safeguard personal data further.
Cookies and consent
Inform visitors that your website uses cookies and other tracking technologies for analytics purposes. Matomo offers customisable cookie banners and opt-out options that allow users to choose their preferences regarding cookies and tracking, along with cookieless options that don’t require consent banners.
Right to access and correct data
Inform visitors of their rights and provide instructions on requesting information. Describe how to correct inaccuracies in their data and update their preferences.
Security measures
Assure visitors that you take data security seriously and have implemented measures to protect their data from unauthorised access or breaches. You can also use this opportunity to highlight any encryption or access controls you use to safeguard data.
Contact information
Provide contact details for your company’s Data Protection Officer (DPO) and encourage users to reach out if they have any questions or concerns about their data and privacy.
When selecting web analytics tools, consider how well they align with GDPR principles. Look for features like anonymisation, consent management options, data retention controls, security measures and data storage within the EU or a similarly privacy-protecting jurisdiction.
Matomo offers an advanced GDPR Manager. This is to make sure websites are fully GDPR compliant by giving users the ability to access, withdraw consent, object or erase their data, in addition to the anonymizing features.
And finally, when you use Matomo, you have 100% data ownership — stored with us in the EU if you’re using Matomo Cloud or on your own servers with Matomo On-Premise — so you can be data-driven and still be compliant with worldwide privacy laws. We are also trusted across industries as we provide accurate data (no trying to fill in the gaps with AI), a robust API that lets you connect your data to your other tools and cookieless tracking options so you don’t need a cookie consent banner. What’s more, our open-source nature allows you to explore the inner workings, offering the assurance of security firsthand.
Ready to become GDPR compliant ?
Whether you’re an established business or just starting out, if you work with data from EU citizens or residents, then achieving GDPR compliance is essential. It doesn’t need to cost you a fortune or five years to get to compliant status. With the right tools and processes, you can be on top of the privacy requirements in no time at all, avoiding any of those hefty penalties or the resulting damage to your reputation.
You don’t need to sacrifice powerful data insights to be GDPR compliant. While Google Analytics uses data for its ‘own purposes’, Matomo is an ethical alternative. Using our all-in-one web analytics platform means you own 100% of your data 100% of the time.
Start a 21-day free trial of Matomo — no credit card required.
Disclaimer
We are not lawyers and don’t claim to be. The information provided here is to help give an introduction to GDPR. We encourage every business and website to take data privacy seriously and discuss these issues with your lawyer if you have any concerns.