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• What Is Data Ethics & Why Is It Important in Business ?

  9 mai 2024, par Erin

  Data is powerful — every business on earth uses data. But some are leveraging it more than others.

  The problem ?

  Not all businesses are using data ethically.

  You need to collect, store, and analyse data to grow your business. But, if you aren’t careful, you could be crossing the line with your data usage into unethical territories.

  In a society where data is more valuable than ever, it’s crucial you perform ethical practices.

  In this article, we break down what data ethics is, why it’s important in business and how you can implement proper data ethics to ensure you stay compliant while growing your business.

  What is data ethics ?

  Data ethics are how a business collects, protects and uses data.

  It’s one field of ethics focused on organisations’ moral obligation to collect, track, analyse and interpret data correctly.

  

  Data ethics analyses multiple ways we use data :

  • Collecting data
  • Generating data
  • Tracking data
  • Analysing data
  • Interpreting data
  • Implementing activities based on data

  Data ethics is a field that asks, “Is this right or wrong ?”

  And it also asks, “Can we use data for good ?”

  If businesses use data unethically, they could get into serious hot water with their customers and even with the law.

  You need to use data to ensure you grow your business to the best of your ability. But, to maintain a clean slate in the eyes of your customers and authorities, you need to ensure you have strong data ethics.

  Why you need to follow data ethics principles

  In 2018, hackers broke into British Airways’ website by inserting harmful code, leading website visitors to a fraudulent site. 

  The result ? 

  British Airways customers gave their information to the hackers without realising it : credit cards, personal information, login information, addresses and more.

  While this was a malicious attack, the reality is that data is an integral part of everyday life. Businesses need to do everything they can to protect their customers’ data and use it ethically.

  Data ethics is crucial to understand as it sets the standard for what’s right and wrong for businesses. Without a clear grasp of data ethics, companies will willingly or neglectfully misuse data.

  With a firm foundation of data ethics, businesses worldwide can make a collective effort to function smoothly, protect their customers, and, of course, protect their own reputation. 

  3 benefits of leaning into data ethics

  We’re currently transitioning to a new world led by artificial intelligence.

  While AI presents endless opportunities for innovation in the business world, there are also countless risks at play, and it’s never been more important to develop trust with your customers and stakeholders.

  With an influx of data being created and tracked daily, you need to ensure your business is prioritising data ethics to ensure you maintain trust with your customers moving forward.

  

  Here are three benefits of data ethics that will help you develop trust, maintain a solid reputation and stay compliant to continue growing your business :

  1. Compliance with data privacy

  Privacy is everything. 

  In a world where our data is being collected nonstop, and we live more public lives than ever with social media, AI and an influx of recording and tracking in everyday life, you need to protect the privacy of your customers.

  One crucial way to protect that privacy is by complying with major data privacy regulations.

  Some of the most common regulations you need to remain compliant with include :

  • General Data Protection Regulation (GDPR)
  • California Consumer Privacy Act (CCPA)
  • Health Insurance Portability and Accountability Act (HIPAA)
  • General Personal Data Protection Law (LGPD)
  • Privacy and Electronic Communications (EC Directive) Regulations (PECR)

  While these regulations don’t directly address ethics, there’s a core overlap between privacy requirements like accountability, lawfulness and AI ethics.

  Matomo ensures you protect the privacy of your web and app users so you can track and improve your website performance with peace of mind.

  2. Maintain a good reputation

  While data ethics can help you maintain data privacy compliance, it can also help you maintain a good reputation online and offline.

  All it takes is one bad event like the British Airways breach for your company’s reputation to be ruined.

  If you want to keep a solid reputation and maintain trust with your stakeholders, customers and lawmakers, then you need to focus on developing strong data ethics.

  Businesses that invest time in establishing proper data ethics set the right foundation to protect their reputation, develop trust with stakeholders and create goodwill and loyalty.

  3. Increased trust means greater revenue

  What happens when you establish proper data ethics ?

  You’ll gain the trust of your customers, maintain a solid reputation and increase your brand image.

  Customers who trust you to protect their privacy and data want to keep doing business with you.

  So, what’s the end result for a business that values data ethics ?

  You’ll generate more revenue in the long run. Trust is one thing you should never put on the back burner if you have plans to keep growing your business. By leaning more into data ethics, you’ll be able to build that brand reputation that helps people feel comfortable buying your products and services on repeat.

  While spending time and money on data ethics may seem like an annoyance, the reality is that it’s a business investment that will pay dividends for years to come.

  5 core data ethics principles

  So, what exactly is involved in data ethics ?

  For most people, data ethics is a pretty broad and vague term. If you’re curious about the core pillars of data ethics, then keep reading.

  Here are five core data ethical principles you need to follow to ensure you’re protecting your customers’ data and maintaining trust :

  

  1. Data ownership

  The individual owns the data, not you. This is the first principle of data ethics. You don’t have control over someone else’s data. It’s theirs, and they have full ownership over it.

  Just as stealing a TV from an electronics store is a crime, stealing (or collecting) someone’s personal data without their consent is considered unlawful and unethical.

  Consent is the only way to ethically “own” someone’s data.

  How can you collect someone’s data ethically ?

  • Digital privacy policies
  • Signed, written agreements
  • Popups with checkboxes that allow you to track users’ behaviour

  Essentially, anytime you’re collecting data from your website or app users, you need to ensure you’re asking permission for that data.

  You should never assume a website visitor or customer is okay with you collecting your data automatically. Instead, ask permission to collect, track and use their data to avoid legal and ethical issues.

  2. Transparency

  The second core principle of data ethics within business is transparency. This means you need to be fully transparent on when, where and how you :

  • Collect data
  • Store data
  • Use data

  In other words, you need to allow your customers and website visitors to have a window inside your data activities.

  They need to be able to see exactly how you plan on using the data you’re collecting from them.

  For example, imagine you implemented a new initiative to personalise the website experience for each user based on individual behaviour. To do this, you’ll need to track cookies. In this case, you’d need to write up a new policy stating how this behavioural data is going to be collected, tracked and used.

  It’s within your website visitors’ rights to access this information so they can choose whether or not they want to accept or decline your website’s cookies.

  With any new data collection or tracking, you need to be 100% clear about how you’re going to use the data. You can’t be deceptive, misleading, or withholding any information on how you will use the data, as this is unethical and, in many cases, unlawful.

  3. Privacy

  Another important branch of ethics is privacy. The ethical implications of this should be obvious.

  When your users, visitors, or customers enter your sphere of influence and you begin collecting data on them, you are responsible for keeping that data private.

  When someone accepts the terms of your data usage, they’re not agreeing to have their data released to the public. They’re agreeing to let you leverage that data as their trusted business provider to better serve them. They expect you to maintain privacy.

  You can’t spread private information to third parties. You can’t blast this data to the public. 

  This is especially important if someone allows you to collect and use their personally identifiable information (PII), such as :

  • First and last name
  • Email address
  • Date of birth
  • Home address
  • Phone number

  To protect your audience’s data, you should only store it in a secure database. 

  

  For example, Matomo’s web analytics solution guarantees the privacy of both your users and analytics data.

  With Matomo, you have complete ownership of your data. Unlike other web analytics solutions that exploit your data for advertising purposes, Matomo users can use analytics with confidence, knowing that their data won’t be sold to advertisers.

  Learn more about data privacy with Matomo here.

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  4. Intention

  When you collect and store data, you need to tell your users why you’re collecting their data. But there’s another principle of data ethics that goes beyond the reason you give your customers.

  Intention is the reason you give yourself for collecting and using the data.

  Before you start collecting and storing data, you should ask yourself the following :

  • Why you need it
  • What you’ll gain from it
  • What changes you’ll be able to make after you analyse the data

  If your intention is wrong in any way, it’s unethical to collect the data :

  • You’re collecting data to hurt others
  • You’re collecting data to profit from your users’ weaknesses
  • You’re collecting data for any other malicious reason

  When you collect data, you need to have the right intentions to maintain proper data ethics ; otherwise, you could harm your brand, break trust and ruin your reputation.

  5. Outcomes

  You may have the best intentions, but sometimes, there are negative outcomes from data use.

  For example, British Airways’ intention was not to allow hackers to gain access and harm their users. But the reality is that their customers’ data was stolen and used for malicious purposes. While this isn’t technically unlawful, the outcome of collecting data ended badly.

  To ensure proper data ethics, you must have good standing with your data. This means protecting your users at all costs, maintaining a good reputation and ensuring proper privacy measures are set up.

  How to implement data ethics as a business leader

  As a business leader, CTO or CEO, it’s your responsibility to implement data ethics within your organisation. Here are some tips to implement data ethics based on the size and stage of your organisation :

  Startups

  If you’re a startup, you need to be mindful of which technology and tools you use to collect, store and use data to help you grow your business.

  It can be a real challenge to juggle all the moving parts of a startup since things can change so quickly. However, it’s crucial to establish a leader and allow easy access to ethical analysis resources to maintain proper data ethics early on.

  Small and medium-sized businesses

  As you begin scaling, you’ll likely be using even more technology. With each new business technique you implement, there will be new ways you’ll be collecting user data. 

  One of the key processes involved in managing data as you grow is to hire engineers who build out different technologies. You must have protocols, best practices and management overseeing the new technologies being built to ensure proper data ethics.

  Global businesses

  Have you scaled internationally ?

  There will be even more rules, laws, regulations and organisations to answer to if you start managing data unethically.

  You should have established teams or departments to ensure you follow proper privacy and data protocols worldwide. When you have a large organisation, you have more money and vast amounts of data. This makes you a bigger target for leaks, ransomware and hackers.

  You should ensure you have cross-departmental groups working to establish ongoing protocols and training to keep your data management in good standing.

  Leverage data ethically with Matomo

  Data is powerful.

  It’s a crucial point of leverage that’s required to stay competitive.

  However, improper use and management of data can give you a bad reputation, break trust and even cause you legal trouble.

  That’s why you must maintain good data ethics within your organisation.

  One of the most important places to set up proper data ethics and privacy measures is with your website analytics.

  Matomo is the leading, privacy-friendly web analytics solution in the world. It automatically collects, stores, and tracks data across your website ethically.

  With over 1 million websites using Matomo, you get to take full control over your website performance with :

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

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

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• How (and Why) to Run a Web Accessibility Audit in 2024

  7 mai 2024, par Erin

  When most businesses design their websites, they primarily think about aesthetics, not accessibility. However, not everyone who visits your website has the same abilities or access needs. Eight percent of the US population has visual impairments.

  The last thing you want is to alienate website visitors with a bad experience because your site isn’t up to accessibility standards. (And with growing international regulation, risk fines or lawsuits as a result.)

  A web accessibility audit can help you identify and fix any issues for users with impaired vision, hearing or other physical disabilities. In this article, we’ll cover how to conduct such an audit efficiently for your website in 2024.

  What is a web accessibility audit ?

  A web accessibility audit is a way to evaluate the usability of your website for users with visual, auditory or physical impairments, as well as cognitive disabilities or neurological issues. The goal is to figure out how accessible your website is to each of these affected groups and solve any issues that come up.

  To complete an audit, you use digital tools and various manual accessibility testing processes to ensure your site meets modern web accessibility standards.

  Why is a web accessibility audit a must in 2024 ?

  For far too long, many businesses have not considered the experiences of those with disabilities. The growing frustrations of affected internet users have led to a new focus on web accessibility laws and enforcement.

  Lawsuits related to the ADA (Americans with Disabilities Act) reached all-time highs in 2023 — over 4,500 digital-related lawsuits were filed. The EU has also drawn up the European Accessibility Act (EAC), which goes into effect in June 2025.

  But at the end of the day, it’s not about accessibility legislation. It’s about doing right by people.

  

  This video by voice actor, YouTuber, and surfer Pete Gustin demonstrates why accessibility measures are so important. If buttons, navigation and content sections aren’t properly labelled, sight-impaired people who rely on speech-to-text to browse the web can’t comfortably interact with your site.

  And you’re worse off for it. You can lose some of your best customers and advocates this way. 

  With stronger enforcement of accessibility regulations in the US and new regulations coming into effect in the EU in 2025, the time to act is now. It’s not enough to “keep accessibility in mind” — you must take concrete steps to improve it.

  Who should lead a web accessibility audit ?

  Ideally, you want to hire a third-party web accessibility expert to lead the audit. They can guide you through multiple stages of manual accessibility testing to ensure your site meets regulations and user needs. 

  Experienced accessibility auditors are familiar with common pitfalls and can help you avoid them. They ensure you meet the legal requirements with proper solutions, not quick fixes.

  If this isn’t an option, find someone with relevant experience within your company. And involve someone with “skin in the game” in the process. Hire someone with visual impairments to usability test your site. Don’t just do automated tests or “put yourself in their shoes.” Make sure the affected users can use your site without issues.

  Automated vs. manual audits and the danger of shortcuts

  While there are automated audits, they only check for the bare minimum :

  • Do your images have alt tags ? (They don’t check if the alt tag is descriptive or just SEO junk text.)
  • Are clickable buttons identified with text for visually impaired users ?
  • Is your text size adjustable ?
  • Are your background and foreground colours accessible for colour-blind users ? Is there a sufficient contrast ratio ?

  

  They don’t dive into the user journey (and typically can’t access login-locked parts of your site). They can be a good starting point, but it’s a bad idea to rely completely on automated audits.

  They’ll miss more complex issues like :

  • Dynamic content and animated elements or videos that could put people with epilepsy at risk of seizures
  • A navigational flow that is unnecessarily challenging for users with impairments
  • Video elements without proper captions

  So, don’t rely too much on automated tests and audits. Many lawsuits for ADA infractions are against companies that think they’ve already solved the problem. For example, 30% of 2023 lawsuits were against sites that used accessibility overlays.

  Key elements of the Web Content Accessibility Guidelines (WCAG)

  The international standard for web accessibility is the Web Content Accessibility Guidelines (WCAG). In the most recent version, WCAG 2.2, there are new requirements for visual elements and focus and other updates.

  Here’s a quick overview of the key priorities of WCAG :

  

  Perceivable : Any user can read or listen to your site’s content

  The first priority is for any user to be able to perceive the actual content on your site. To be compliant, you need to make these adjustments and more :

  • Use text that scales with browser settings.
  • Avoid relying on colour contrasts to communicate something.
  • Ensure visual elements are explained in text.
  • Offer audio alternatives for things like CAPTCHA.
  • Form fields and interactive elements are properly named.

  Operable : Any user can navigate the site and complete tasks without issue

  The second priority is for users to navigate your website and complete tasks. Here are some of the main considerations for this section :

  • Navigation is possible through keyboard and text-to-speech interfaces.
  • You offer navigation tools to bypass repeated blocks of content.
  • Buttons are properly titled and named.
  • You give impaired users enough time to finish processes without timing out.
  • You allow users to turn off unnecessary animations (and ensure none include three flashes or more within one second).
  • Links have a clear purpose from their alt text (and context).

  Understandable : Any user can read and understand the content

  The third priority is making the content understandable. You need to communicate as simply and as clearly as possible. Here are a few key points :

  • Software can determine the default language of each page.
  • You use a consistent method to explain jargon or difficult terms.
  • You introduce the meaning of unfamiliar abbreviations and acronyms.
  • You offer tools to help users double-check and correct input.
  • The reading grade is not higher than grade 9. If it is, you must offer an alternative text with a lower grade.
  • Use consistent and predictable formatting and navigation.

  This intro to accessibility guidelines should help you see the wide range of potential accessibility issues. Accessibility is not just about screen readers — it’s about ensuring a good user experience for users with a wide range of disabilities.

  Note : If you’re not hiring a third-party expert for the manual accessibility audit, this introduction isn’t enough. You need to familiarise yourself with all 50 success criteria in WCAG 2.2.

  How to do your first web accessibility audit

  Ready to find and fix the accessibility issues across your website ? Follow the steps outlined below to do a successful accessibility audit.

  Start with an automated accessibility test

  To point you in the right direction, start with a digital accessibility checker. There are many free alternatives, including :

  • Accessibility Checker
  • Silktide accessibility checker
  • AAArdvark

  When choosing a tool, check it’s up-to-date with the newest accessibility guidelines. Many accessibility evaluation tools are still based on the WCAG 2.1 version rather than WCAG 2.2.

  The tool will give you a basic evaluation of the accessibility level of your site. A free report can quickly identify common issues with navigation, labelling, colour choices and more. 

  But this is only good as a starting point. Remember that even paid versions of these testing tools are limited and cannot replace a manual audit.

  Look for common issues

  The next step is to manually look for common issues that impact your site’s level of accessibility :

  • Undescriptive alt text
  • Colour combinations (and lack of ability to change background and foreground colours)
  • Unscalable text
  • Different site content sections that are not properly labelled

  The software you use to create your site can lead to many of these issues. Is your content management system (CMS) compliant with ADA or WCAG ? If not, you may want to move to a CMS before continuing the audit.

  Pinpoint customer journeys and test them for accessibility 

  After you’ve fixed common issues, it’s essential to put the actual customer journey to the test. Explore your most important journeys with behavioural analytics tools like session recordings and funnel analysis.

  Analysing funnel reports lets you quickly identify each page that usually contributes to a sale. You will also have an overview of the most popular funnels to evaluate for accessibility.

  If your current web analytics platform doesn’t offer behavioural reports like these, Matomo can help. Our privacy-friendly web analytics solution includes funnel reports, session recordings, A/B testing, form analytics, heatmaps and more.

  Try Matomo for Free

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

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  If you don’t have the budget to test every page individually, this is the perfect place to start. You want to ensure that users with disabilities have no issues completing the main tasks on your site. 

  Don’t focus solely on your web pages 

  Accessibility barriers can also exist outside of your standard web pages. So ensure that other file formats like PDFs and videos are also accessible. 

  Remember that downloadable materials are also part of your digital experience. Always consider the needs of individuals with disabilities when accessing things like case studies or video tutorials. 

  Highlight high-priority issues in a detailed report

  To complete the audit, you need to summarise and highlight high-priority issues. In a larger company, this will be in the form of a report. W3’s Web Accessibility Initiative offers a free accessibility report template and an online tool to generate a report.

  For smaller teams, it may make sense to input issues directly into the product backlog or a task list. Then, you can tackle the issues, starting with high-priority pages identified earlier in this process.

  Avoid quick fixes and focus on sustainable improvement

  As mentioned, AI-powered overlay solutions aren’t compliant and put you at risk for lawsuits. It’s not enough to install a quick accessibility tool and pat yourself on the back.

  And it’s not just about accessibility compliance. These solutions provide a disjointed experience that alienates potential users. 

  The point of a digital accessibility audit is to identify issues and provide a better experience to all your users. So don’t try to cut corners. Do the work required to implement solutions that work seamlessly for everyone. Invest in a long-term accessibility remediation process.

  Deliver a frictionless experience while gaining insight into your users

  An accessibility audit is crucial to ensure an inclusive experience — that a wide variety of users can read and interact with your site.

  But what about the basic usability of your website ? Are you sure the experience is without friction ? Matomo’s behavioural analytics tools can show how users interact with your website.

  For example, heatmaps can show you where users are clicking — which can help you identify a pattern, like many users mistaking a visual element for a button.

  Plus, our privacy-friendly web analytics are compliant with GDPR, CCPA and other data privacy regulations. That helps protect you against privacy-related lawsuits, just as an accessibility audit protects you against ADA lawsuits.

  And it never hurts that your users know you respect their privacy. Try Matomo free for 21-days. No credit card required.

  Try Matomo for Free

  21 day free trial. No credit card required.

  
  

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• Clickstream Data : Definition, Use Cases, and More

  15 avril 2024, par Erin

  Gaining a deeper understanding of user behaviour — customers’ different paths, digital footprints, and engagement patterns — is crucial for providing a personalised experience and making informed marketing decisions. 

  In that sense, clickstream data, or a comprehensive record of a user’s online activities, is one of the most valuable sources of actionable insights into users’ behavioural patterns. 

  This article will cover everything marketing teams need to know about clickstream data, from the basic definition and examples to benefits, use cases, and best practices. 

  What is clickstream data ? 

  As a form of web analytics, clickstream data focuses on tracking and analysing a user’s online activity. These digital breadcrumbs offer insights into the websites the user has visited, the pages they viewed, how much time they spent on a page, and where they went next.

  

  Your clickstream pipeline can be viewed as a “roadmap” that can help you recognise consistent patterns in how users navigate your website. 

  With that said, you won’t be able to learn much by analysing clickstream data collected from one user’s session. However, a proper analysis of large clickstream datasets can provide a wealth of information about consumers’ online behaviours and trends — which marketing teams can use to make informed decisions and optimise their digital marketing strategy. 

  Clickstream data collection can serve numerous purposes, but the main goal remains the same — gaining valuable insights into visitors’ behaviours and online activities to deliver a better user experience and improve conversion likelihood. 

  Depending on the specific events you’re tracking, clickstream data can reveal the following : 

  • How visitors reach your website 
  • The terms they type into the search engine
  • The first page they land on
  • The most popular pages and sections of your website
  • The amount of time they spend on a page 
  • Which elements of the page they interact with, and in what sequence
  • The click path they take 
  • When they convert, cancel, or abandon their cart
  • Where the user goes once they leave your website

  As you can tell, once you start collecting this type of data, you’ll learn quite a bit about the user’s online journey and the different ways they engage with your website — all without including any personal details about your visitors.

  Types of clickstream data 

  While all clickstream data keeps a record of the interactions that occur while the user is navigating a website or a mobile application — or any other digital platform — it can be divided into two types : 

  • Aggregated (web traffic) data provides comprehensive insights into the total number of visits and user interactions on a digital platform — such as your website — within a given timeframe 
  • Unaggregated data is broken up into smaller segments, focusing on an individual user’s online behaviour and website interactions 

  One thing to remember is that to gain valuable insights into user behaviour and uncover sequential patterns, you need a powerful tool and access to full clickstream datasets. Matomo’s Event Tracking can provide a comprehensive view of user interactions on your website or mobile app — everything from clicking a button and completing a form to adding (or removing) products from their cart. 

  On that note, based on the specific events you’re tracking when a user visits your website, clickstream data can include : 

  • Web navigation data : referring URL, visited pages, click path, and exit page
  • User interaction data : mouse movements, click rate, scroll depth, and button clicks
  • Conversion data : form submissions, sign-ups, and transactions 
  • Temporal data : page load time, timestamps, and the date and time of day of the user’s last login 
  • Session data : duration, start, and end times and number of pages viewed per session
  • Error data : 404 errors and network or server response issues 

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  Clickstream data benefits and use cases 

  Given the actionable insights that clickstream data collection provides, it can serve a wide range of use cases — from identifying behavioural patterns and trends and examining competitors’ performance to helping marketing teams map out customer journeys and improve ROI.

  

  According to the global Clickstream Analytics Market Report 2024, some key applications of clickstream analytics include click-path optimisation, website and app optimisation, customer analysis, basket analysis, personalisation, and traffic analysis. 

  

  The behavioural patterns and user preferences revealed by clickstream analytics data can have many applications — we’ve outlined the prominent use cases below. 

  Customer journey mapping 

  Clickstream data allows you to analyse the e-commerce customer’s online journey and provides insights into how they navigate your website. With such a comprehensive view of their click path, it becomes easier to understand user behaviour at each stage — from initial awareness to conversion — identify the most effective touchpoints and fine-tune that journey to improve their conversion likelihood. 

  Identifying customer trends 

  Clickstream data analytics can also help you identify trends and behavioural patterns — the most common sequences and similarities in how users reached your website and interacted with it — especially when you can access data from many website visitors. 

  Think about it — there are many ways in which you can use these insights into the sequence of clicks and interactions and recurring patterns to your team’s advantage. 

  Here’s an example : 

  It can reveal that some pieces of content and CTAs are performing well in encouraging visitors to take action — which shows how you should optimise other pages and what you should strive to create in the future, too. 

  Preventing site abandonment 

  Cart abandonment remains a serious issue for online retailers : 

  According to a recent report, the global cart abandonment rate in the fourth quarter of 2023 was at 83%. 

  That means that roughly eight out of ten e-commerce customers will abandon their shopping carts — most commonly due to additional costs, slow website loading times and the requirement to create an account before purchasing. 

  In addition to cart abandonment predictions, clickstream data analytics can reveal the pages where most visitors tend to leave your website. These drop-off points are clear indicators that something’s not working as it should — and once you can pinpoint them, you’ll be able to address the issue and increase conversion likelihood.

  Improving marketing campaign ROI 

  As previously mentioned, clickstream data analysis provides insights into the customer journey. Still, you may not realise that you can also use this data to keep track of your marketing effectiveness. 

  Global digital ad spending continues to grow — and is expected to reach $836 billion by 2026. It’s easy to see why relying on accurate data is crucial when deciding which marketing channels to invest in. 

  You want to ensure you’re allocating your digital marketing and advertising budget to the channels — be it SEO, pay-per-click (PPC) ads, or social media campaigns — that impact driving conversions. 

  When you combine clickstream e-commerce data with conversion rates, you’ll find the latter in Matomo’s goal reports and have a solid, data-driven foundation for making better marketing decisions.

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  Delivering a better user experience (UX) 

  Clickstream data analysis allows you to identify specific “pain points” — areas of the website that are difficult to use and may cause customer frustration. 

  It’s clear how this would be beneficial to your business : 

  Once you’ve identified these pain points, you can make the necessary changes to your website’s layout and address any technical issues that users might face, improving usability and delivering a smoother experience to potential customers. 

  Collecting clickstream data : Tools and legal implications 

  Your team will need a powerful tool capable of handling clickstream analytics to reap the benefits we’ve discussed previously. But at the same time, you need to respect users’ online privacy throughout clickstream data collection.

  

  Generally speaking, there are two ways to collect data about users’ online activity — web analytics tools and server log files.

  Web analytics tools are the more commonly used solution. Specifically designed to collect and analyse website data, these tools rely on JavaScript tags that run in the browser, providing actionable insights about user behaviour. Server log files can be a gold mine of data, too — but that data is raw and unfiltered, making it much more challenging to interpret and analyse. 

  That brings us to one of the major clickstream challenges to keep in mind as you move forward — compliance.

  While Google remains a dominant player in the web analytics market, there’s one area where Matomo has a significant advantage — user privacy. 

  Matomo operates according to privacy laws — including the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA), making it an ethical alternative to Google Analytics. 

  It should go without saying, but compliance with data privacy laws — the most talked-about one being the GDPR framework introduced by the EU — isn’t something you can afford to overlook. 

  The GDPR was first implemented in the EU in 2018. Since then, several fines have been issued for non-compliance — including the record fine of €1.2 billion that Meta Platforms, Inc. received in 2023 for transferring personal data of EU-based users to the US.

  Clickstream analytics data best practices 

  

  As valuable as it might be, processing large amounts of clickstream analytics data can be a complex — and, at times, overwhelming — process. 

  Here are some best practices to keep in mind when it comes to clickstream analysis : 

  Define your goals 

  It’s essential to take the time to define your goals and objectives. 

  Once you have a clear idea of what you want to learn from a given clickstream dataset and the outcomes you hope to see, it’ll be easier to narrow down your scope — rather than trying to tackle everything at once — before moving further down the clickstream pipeline. 

  Here are a few examples of goals and objectives you can set for clickstream analysis : 

  • Understanding and predicting users’ behavioural patterns 
  • Optimising marketing campaigns and ROI 
  • Attributing conversions to specific marketing touchpoints and channels

  Analyse your data 

  Collecting clickstream analytics data is only part of the equation ; what you do with raw data and how you analyse it matters. You can have the most comprehensive dataset at your disposal — but it’ll be practically worthless if you don’t have the skill set to analyse and interpret it. 

  In short, this is the stage of your clickstream pipeline where you uncover common sequences and consistent patterns in user behaviour. 

  Clickstream data analytics can extract actionable insights from large datasets using various approaches, models, and techniques. 

  Here are a few examples : 

  • If you’re working with clickstream e-commerce data, you should perform funnel or conversion analyses to track conversion rates as users move through your sales funnel. 
  • If you want to group and analyse users based on shared characteristics, you can use Matomo for cohort analysis. 
  • If your goal is to predict future trends and outcomes — conversion and cart abandonment prediction, for example — based on available data, prioritise predictive analytics.

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  Organise and visualise your data

  As you reach the end of your clickstream pipeline, you need to start thinking about how you will present and communicate your data. And what better way to do that than to transform that data into easy-to-understand visualisations ? 

  Here are a few examples of easily digestible formats that facilitate quick decision-making : 

  • User journey maps, which illustrate the exact sequence of interactions and user flow through your website 
  • Heatmaps, which serve as graphical — and typically colour-coded — representations of a website visitor’s activity 
  • Funnel analysis, which are broader at the top but get increasingly narrower towards the bottom as users flow through and drop off at different stages of the pipeline 

  Collect clickstream data with Matomo 

  Clickstream data is hard to beat when tracking the website visitor’s journey — from first to last interaction — and understanding user behaviour. By providing real-time insights, your clickstream pipeline can help you see the big picture, stay ahead of the curve and make informed decisions about your marketing efforts. 

  Matomo accurate data and compliance with GDPR and other data privacy regulations — it’s an all-in-one, ethical platform that can meet all your web analytics needs. That’s why over 1 million websites use Matomo for their web analytics.

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

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