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• The 7 GDPR Principles : A Guide to Compliance

  11 août 2023, par Erin — Analytics Tips, GDPR

  We 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.

• 8 Best Tools to Analyse Website Traffic

  12 septembre 2023, par Erin — Analytics Tips, Marketing

  Do 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).

• Google Optimize vs Matomo A/B Testing : Everything You Need to Know

  17 mars 2023, par Erin — Analytics Tips

  Google Optimize is a popular A/B testing tool marketers use to validate the performance of different marketing assets, website design elements and promotional offers. 

  But by September 2023, Google will sunset both free and paid versions of the Optimize product. 

  If you’re searching for an equally robust, but GDPR compliant, privacy-friendly alternative to Google Optimize, have a look at Matomo A/B Testing. 

  Integrated with our analytics platform and conversion rate optimisation (CRO) tools, Matomo allows you to run A/B and A/B/n tests without any usage caps or compromises in user privacy.

  Disclaimer : Please note that the information provided in this blog post is for general informational purposes only and is not intended to provide legal advice. Every situation is unique and requires a specific legal analysis. If you have any questions regarding the legal implications of any matter, please consult with your legal team or seek advice from a qualified legal professional.

  Google Optimize vs Matomo : Key Capabilities Compared 

  This guide shows how Matomo A/B testing stacks against Google Optimize in terms of features, reporting, integrations and pricing.

  Supported Platforms 

  Google Optimize supports experiments for dynamic websites and single-page mobile apps only. 

  If you want to run split tests in mobile apps, you’ll have to do so via Firebase — Google’s app development platform. It also has a free tier but paid usage-based subscription kicks in after your product(s) reaches a certain usage threshold. 

  Google Optimize also doesn’t support CRO experiments for web or desktop applications, email campaigns or paid ad campaigns.Matomo A/B Testing, in contrast, allows you to run experiments in virtually every channel. We have three installation options — using JavaScript, server-side technology, or our mobile tracking SDK. These allow you to run split tests in any type of web or mobile app (including games), a desktop product, or on your website. Also, you can do different email marketing tests (e.g., compare subject line variants).

  A/B Testing 

  A/B testing (split testing) is the core feature of both products. Marketers use A/B testing to determine which creative elements such as website microcopy, button placements and banner versions, resonate better with target audiences. 

  You can benchmark different versions against one another to determine which variation resonates more with users. Or you can test an A version against B, C, D and beyond. This is called A/B/n testing. 

  Both Matomo A/B testing and Google Optimize let you test either separate page elements or two completely different landing page designs, using redirect tests. You can show different variants to different user groups (aka apply targeting criteria). For example, activate tests only for certain device types, locations or types of on-site behaviour. 

  The advantage of Matomo is that we don’t limit the number of concurrent experiments you can run. With Google Optimize, you’re limited to 5 simultaneous experiments. Likewise, 

  Matomo lets you select an unlimited number of experiment objectives, whereas Google caps the maximum choice to 3 predefined options per experiment. 

  Objectives are criteria the underlying statistical model will use to determine the best-performing version. Typically, marketers use metrics such as page views, session duration, bounce rate or generated revenue as conversion goals. 

  

  Multivariate testing (MVT)

  Multivariate testing (MVT) allows you to “pack” several A/B tests into one active experiment. In other words : You create a stack of variants to determine which combination drives the best marketing outcomes. 

  For example, an MVT experiment can include five versions of a web page, where each has a different slogan, product image, call-to-action, etc. Visitors are then served with a different variation. The tracking code collects data on their behaviours and desired outcomes (objectives) and reports the results.

  MVT saves marketers time as it’s a great alternative to doing separate A/B tests for each variable. Both Matomo and Google Optimize support this feature. However, Google Optimize caps the number of possible combinations at 16, whereas Matomo has no limits. 

  Redirect Tests

  Redirect tests, also known as split URL tests, allow you to serve two entirely different web page versions to users and compare their performance. This option comes in handy when you’re redesigning your website or want to test a localised page version in a new market. 

  Also, redirect tests are a great way to validate the performance of bottom-of-the-funnel (BoFU) pages as a checkout page (for eCommerce websites), a pricing page (for SaaS apps) or a contact/booking form (for a B2B service businesses). 

  You can do split URL tests with Google Optimize and Matomo A/B Testing. 

  Experiment Design 

  Google Optimize provides a visual editor for making simple page changes to your website (e.g., changing button colour or adding several headline variations). You can then preview the changes before publishing an experiment. For more complex experiments (e.g., testing different page block sequences), you’ll have to codify experiments using custom JavaScript, HTML and CSS.

  In Matomo, all A/B tests are configured on the server-side (i.e., by editing your website’s raw HTML) or client-side via JavaScript. Afterwards, you use the Matomo interface to start or schedule an experiment, set objectives and view reports. 

  Experiment Configuration 

  Marketers know how complex customer journeys can be. Multiple factors — from location and device to time of the day and discount size — can impact your conversion rates. That’s why a great CRO app allows you to configure multiple tracking conditions. 

  Matomo A/B testing comes with granular controls. First of all, you can decide which percentage of total web visitors participate in any given experiment. By default, the number is set to 100%, but you can change it to any other option. 

  Likewise, you can change which percentage of traffic each variant gets in an experiment. For example, your original version can get 30% of traffic, while options A and B receive 40% each. We also allow users to specify custom parameters for experiment participation. You can only show your variants to people in specific geo-location or returning visitors only. 

  Finally, you can select any type of meaningful objective to evaluate each variant’s performance. With Matomo, you can either use standard website analytics metrics (e.g., total page views, bounce rate, CTR, visit direction, etc) or custom goals (e.g., form click, asset download, eCommerce order, etc). 

  In other words : You’re in charge of deciding on your campaign targeting criteria, duration and evaluation objectives.

  A free Google Optimize account comes with three main types of user targeting options : 

  • Geo-targeting at city, region, metro and country levels. 

  • Technology targeting  by browser, OS or device type, first-party cookie, etc. 
  • Behavioural targeting based on metrics like “time since first arrival” and “page referrer” (referral traffic source). 

  Users can also configure other types of tracking scenarios (for example to only serve tests to signed-in users), using condition-based rules. 

  Reporting 

  Both Matomo and Google Optimize use different statistical models to evaluate which variation performs best. 

  Matomo relies on statistical hypothesis testing, which we use to count unique visitors and report on conversion rates. We analyse all user data (with no data sampling applied), meaning you get accurate reporting, based on first-hand data, rather than deductions. For that reason, we ask users to avoid drawing conclusions before their experiment participation numbers reach a statistically significant result. Typically, we recommend running an experiment for at least several business cycles to get a comprehensive report. 

  Google Optimize, in turn, uses Bayesian inference — a statistical method, which relies on a random sample of users to compare the performance rates of each creative against one another. While a Bayesian model generates CRO reports faster and at a bigger scale, it’s based on inferences.

  Model developers need to have the necessary skills to translate subjective prior beliefs about the probability of a certain event into a mathematical formula. Since Google Optimize is a proprietary tool, you cannot audit the underlying model design and verify its accuracy. In other words, you trust that it was created with the right judgement. 

  In comparison, Matomo started as an open-source project, and our source code can be audited independently by anyone at any time. 

  Another reporting difference to mind is the reporting delays. Matomo Cloud generates A/B reports within 6 hours and in only 1 hour for Matomo On-Premise. Google Optimize, in turn, requires 12 hours from the first experiment setup to start reporting on results. 

  When you configure a test experiment and want to quickly verify that everything is set up correctly, this can be an inconvenience.

  User Privacy & GDPR Compliance 

  Google Optimize works in conjunction with Google Analytics, which isn’t GDPR compliant. 

  For all website traffic from the EU, you’re therefore obliged to show a cookie consent banner. The kicker, however, is that you can only show an Optimize experiment after the user gives consent to tracking. If the user doesn’t, they will only see an original page version. Considering that almost 40% of global consumers reject cookie consent banners, this can significantly affect your results.

  This renders Google Optimize mostly useless in the EU since it would only allow you to run tests with a fraction ( 60%) of EU traffic — and even less if you apply any extra targeting criteria. 

  In comparison, Matomo is fully GDPR compliant. Therefore, our users are legally exempt from displaying cookie-consent banners in most EU markets (with Germany and the UK being an exception). Since Matomo A/B testing is part of Matomo web analytics, you don’t have to worry about GDPR compliance or breaches in user privacy. 

  Digital Experience Intelligence 

  You can get comprehensive statistical data on variants’ performance with Google Optimize. But you don’t get further insights on why some tests are more successful than others. 

  Matomo enables you to collect more insights with two extra features :

  • User session recordings : Monitor how users behave on different page versions. Observe clicks, mouse movements, scrolls, page changes, and form interactions to better understand the users’ cumulative digital experience. 
  • Heatmaps : Determine which elements attract the most users’ attention to fine-tune your split tests. With a standard CRO tool, you only assume that a certain page element does matter for most users. A heatmap can help you determine for sure. 

  Both of these features are bundled into your Matomo Cloud subscription. 

  Integrations 

  Both Matomo and Google Optimize integrate with multiple other tools. 

  Google Optimize has native integrations with other products in the marketing family — GA, Google Ads, Google Tag Manager, Google BigQuery, Accelerated Mobile Pages (AMP), and Firebase. Separately, other popular marketing apps have created custom connectors for integrating Google Optimize data. 

  Matomo A/B Testing, in turn, can be combined with other web analytics and CRO features such as Funnels, Multi-Channel Attribution, Tag Manager, Form Analytics, Heatmaps, Session Recording, and more ! 

  You can also conveniently export your website analytics or CRO data using Matomo Analytics API to analyse it in another app. 

  Pricing 

  Google Optimize is a free tool but has usage caps. If you want to schedule more than 5 concurrent experiments or test more than 16 variants at once, you’ll have to upgrade to Optimize 360. Optimize 360 prices aren’t listed publicly but are said to be closer to six figures per year. 

  Matomo A/B Testing is available with every Cloud subscription (starting from €19) and Matomo On-Premise users can also get A/B Testing as a plugin (starting from €199/year). In each case, there are no caps or data limits. 

  Google Optimize vs Matomo A/B Testing : Comparison Table

  Features/capabilities	Google Optimize	Matomo A/B test
  Supported channels	Web	Web, mobile, email, digital campaigns
  A/B testing
  Multivariate testing (MVT)
  Split URL tests
  Web analytics integration	Native with UA/GA4	Native with Matomo You can also migrate historical UA (GA3) data to Matomo
  Audience segmentation	Basic	Advanced
  Geo-targeting
  Technology targeting
  Behavioural targeting	Basic	Advanced
  Reporting model	Bayesian analysis	Statistical hypothesis testing
  Report availability	Within 12 hours after setup	6 hours for Matomo Cloud 1 hour for Matomo On-Premise
  Heatmaps		Included with Matomo Cloud
  Session recordings		Included with Matomo Cloud
  GDPR compliance
  Support	Self-help desk on a free tier	Self-help guides, user forum, email
  Price	Free limited tier	From €19 for Cloud subscription From €199/year as plugin for On-Premise

  Final Thoughts : Who Benefits the Most From an A/B Testing Tool ?

  Split testing is an excellent method for validating various assumptions about your target customers. 

  With A/B testing tools you get a data-backed answer to research hypotheses such as “How different pricing affects purchases ?”, “What contact button placement generates more clicks ?”, “Which registration form performs best with new app subscribers ?” and more. 

  Such insights can be game-changing when you’re trying to improve your demand-generation efforts or conversion rates at the BoFu stage. But to get meaningful results from CRO tests, you need to select measurable, representative objectives.

  For example, split testing different pricing strategies for low-priced, frequently purchased products makes sense as you can run an experiment for a couple of weeks to get a statistically relevant sample. 

  But if you’re in a B2B SaaS product, where the average sales cycle takes weeks (or months) to finalise and things like “time-sensitive discounts” or “one-time promos” don’t really work, getting adequate CRO data will be harder. 

  To see tangible results from CRO, you’ll need to spend more time on test ideation than implementation. Your team needs to figure out : which elements to test, in what order, and why. 

  Effective CRO tests are designed for a specific part of the funnel and assume that you’re capable of effectively identifying and tracking conversions (goals) at the selected stage. This alone can be a complex task since not all customer journeys are alike. For SaaS websites, using a goal like “free trial account registration” can be a good starting point.

  A good test also produces a meaningful difference between the proposed variant and the original version. As Nima Yassini, Partner at Deloitte Digital, rightfully argues :

  “I see people experimenting with the goal of creating an uplift. There’s nothing wrong with that, but if you’re only looking to get wins you will be crushed when the first few tests fail. The industry average says that only one in five to seven tests win, so you need to be prepared to lose most of the time”.

  In many cases, CRO tests don’t provide the data you expected (e.g., people equally click the blue and green buttons). In this case, you need to start building your hypothesis from scratch. 

  At the same time, it’s easy to get caught up in optimising for “vanity metrics” — such that look good in the report, but don’t quite match your marketing objectives. For example, better email headline variations can improve your email open rates. But if users don’t proceed to engage with the email content (e.g. click-through to your website or use a provided discount code), your efforts are still falling short. 

  That’s why developing a baseline strategy is important before committing to an A/B testing tool. Google Optimize appealed to many users because it’s free and allows you to test your split test strategy cost-effectively. 

  With its upcoming depreciation, many marketers are very committed to a more expensive A/B tool (especially when they’re not fully sure about their CRO strategy and its results). 

  Matomo A/B testing is a cost-effective, GDPR-compliant alternative to Google Optimize with a low learning curve and extra competitive features. 

  Discover if Matomo A/B Testing is the ideal Google Optimize alternative for your organization with our free 21-day trial. No credit card required.