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• Is Google Analytics Accurate ? 6 Important Caveats

  8 novembre 2022, par Erin

  It’s no secret that accurate website analytics is crucial for growing your online business — and Google Analytics is often the go-to source for insights. 

  But is Google Analytics data accurate ? Can you fully trust the provided numbers ? Here’s a detailed explainer.

  How Accurate is Google Analytics ? A Data-Backed Answer 

  When properly configured, Google Analytics (Universal Analytics and Google Analytics 4) is moderately accurate for global traffic collection. That said : Google Analytics doesn’t accurately report European traffic. 

  According to GDPR provisions, sites using GA products must display a cookie consent banner. This consent is required to collect third-party cookies — a tracking mechanism for identifying users across web properties.

  Google Analytics (GA) cannot process data about the user’s visit if they rejected cookies. In such cases, your analytics reports will be incomplete.

  Cookie rejection refers to visitors declining or blocking cookies from ever being collected by a specific website (or within their browser). It immediately affects the accuracy of all metrics in Google Analytics.

  Google Analytics is not accurate in locations where cookie consent to tracking is legally required. Most consumers don’t like disruptive cookie banners or harbour concerns about their privacy — and chose to reject tracking. 

  This leaves businesses with incomplete data, which, in turn, results in : 

  • Lower traffic counts as you’re not collecting 100% of the visitor data. 
  • Loss of website optimisation capabilities. You can’t make data-backed decisions due to inconsistent reporting

  For the above reasons, many companies now consider cookieless website tracking apps that don’t require consent screen displays. 

  Why is Google Analytics Not Accurate ? 6 Causes and Solutions 

  A high rejection rate of cookie banners is the main reason for inaccurate Google Analytics reporting. In addition, your account settings can also hinder Google Analytics’ accuracy.

  If your analytics data looks wonky, check for these six Google Analytics accuracy problems. 

  You Need to Secure Consent to Cookies Collection 

  To be GDPR-compliant, you must display a cookie consent screen to all European users. Likewise, other jurisdictions and industries require similar measures for user data collection. 

  This is a nuisance for many businesses since cookie rejection undermines their remarketing capabilities. Hence, some try to maximise cookie acceptance rates with dark patterns. For example : hide the option to decline tracking or make the texts too small. 

  

  Sadly, not everyone’s treating users with respect. A joint study by German and American researchers found that only 11% of US websites (from a sample of 5,000+) use GDPR-compliant cookie banners.

  As a result, many users aren’t aware of the background data collection to which they have (or have not) given consent. Another analysis of 200,000 cookies discovered that 70% of third-party marketing cookies transfer user data outside of the EU — a practice in breach of GDPR.

  Naturally, data regulators and activities are after this issue. In April 2022, Google was pressured to introduce a ‘reject all’ cookies button to all of its products (a €150 million compliance fine likely helped with that). Whereas, noyb has lodged over 220 complaints against individual websites with deceptive cookie consent banners.

  The takeaway ? Messing up with the cookie consent mechanism can get you in legal trouble. Don’t use sneaky banners as there are better ways to collect website traffic statistics. 

  Solution : Try Matomo GDPR-Friendly Analytics 

  Fill in the gaps in your traffic analytics with Matomo – a fully GDPR-compliant product that doesn’t rely on third-party cookies for tracking web visitors. Because of how it is designed, the French data protection authority (CNIL) confirmed that Matomo can be used to collect data without tracking consent.

  With Matomo, you can track website users without asking for cookie consent. And when you do, we supply you with a compact, compliant, non-disruptive cookie banner design. 

  Your Google Tag Isn’t Embedded Correctly 

  Google Tag (gtag.js) is a web tracking script that sends data to your Google Analytics, Google Ads and Google Marketing Platform.

  A corrupted gtag.js installation can create two accuracy issues : 

  • Duplicate page tracking 
  • Missing script installation 

  Is there a way to tell if you’re affected ?

  Yes. You may have duplicate scripts installed if you have a very low bounce rate on most website pages (below 15% – 20%). The above can happen if you’re using a WordPress GA plugin and additionally embed gtag.js straight in your website code. 

  A tell-tale sign of a missing script on some pages is low/no traffic stats. Google alerts you about this with a banner : 

  

  Solution : Use Available Troubleshooting Tools 

  Use Google Analytics Debugger extension to analyse pages with low bounce rates. Use the search bar to locate duplicate code-tracking elements. 

  Alternatively, you can use Google Tag Assistant for diagnosing snippet install and troubleshooting issues on individual pages. 

  If the above didn’t work, re-install your analytics script. 

  Machine Learning and Blended Data Are Applied

  Google Analytics 4 (GA4) relies a lot on machine learning and algorithmic predictions.

  By applying Google’s advanced machine learning models, the new Analytics can automatically alert you to significant trends in your data. [...] For example, it calculates churn probability so you can more efficiently invest in retaining customers.

  Vidhya Srinivasan, VP of Measurement, Analytics and Buying Platforms at Google

  On the surface, the above sounds exciting. In practice, Google’s application of predictive algorithms means you’re not seeing actual data. 

  To offer a variation of cookieless tracking, Google algorithms close the gaps in reporting by creating models (i.e., data-backed predictions) instead of reporting on actual user behaviours. Therefore, your GA4 numbers may not be accurate.

  For bigger web properties (think websites with 1+ million users), Google also relies on data sampling — a practice of extrapolating data analytics, based on a data subset, rather than the entire dataset. Once again, this can lead to inconsistencies in reporting with some numbers (e.g., average conversion rates) being inflated or downplayed. 

  Solution : Try an Alternative Website Analytics App 

  Unlike GA4, Matomo reports consist of 100% unsampled data. All the aggregated reporting you see is based on real user data (not guesstimation). 

  Moreover, you can migrate from Universal Analytics (UA) to Matomo without losing access to your historical records. GA4 doesn’t yet have any backward compatibility.

  Spam and Bot Traffic Isn’t Filtered Out 

  Surprise ! 42% of all Internet traffic is generated by bots, of which 27.7% are bad ones.

  Good bots (aka crawlers) do essential web “housekeeping” tasks like indexing web pages. Bad bots distribute malware, spam contact forms, hack user accounts and do other nasty stuff. 

  A lot of such spam bots are designed specifically for web analytics apps. The goal ? Flood your dashboard with bogus data in hopes of getting some return action from your side. 

  Types of Google Analytics Spam :

  • Referral spam. Spambots hijack the referrer, displayed in your GA referral traffic report to indicate a page visit from some random website (which didn’t actually occur). 
  • Event spam. Bots generate fake events with free language entries enticing you to visit their website. 
  • Ghost traffic spam. Malicious parties can also inject fake pageviews, containing URLs that they want you to click. 

  Obviously, such spammy entities distort the real website analytics numbers. 

  Solution : Set Up Bot/Spam Filters 

  Google Analytics 4 has automatic filtering of bot traffic enabled for all tracked Web and App properties. 

  But if you’re using Universal Analytics, you’ll have to manually configure spam filtering. First, create a new view and then set up a custom filter. Program it to exclude :

  • Filter Field : Request URI
  • Filter Pattern : Bot traffic URL

  Once you’ve configured everything, validate the results using Verify this filter feature. Then repeat the process for other fishy URLs, hostnames and IP addresses. 

  You Don’t Filter Internal Traffic 

  Your team(s) spend a lot of time on your website — and their sporadic behaviours can impair your traffic counts and other website metrics.

  To keep your data “employee-free”, exclude traffic from : 

  • Your corporate IPs addresses 
  • Known personal IPs of employees (for remote workers) 

  If you also have a separate stage version of your website, you should also filter out all traffic coming from it. Your developers, contractors and marketing people spend a lot of time fiddling with your website. This can cause a big discrepancy in average time on page and engagement rates. 

  Solution : Set Internal Traffic Filters 

  Google provides instructions for excluding internal traffic from your reports using IPv4/IPv6 address filters. 

  

  Session Timeouts After 30 Minutes 

  After 30 minutes of inactivity, Google Analytics tracking sessions start over. Inactivity means no recorded interaction hits during this time. 

  Session timeouts can be a problem for some websites as users often pin a tab to check it back later. Because of this, you can count the same user twice or more — and this leads to skewed reporting. 

  Solution : Programme Custom Timeout Sessions

  You can codify custom cookie timeout sessions with the following code snippets : 

  • _setSessionCookieTimeout. Set a custom new session cookie timeout in milliseconds.
  • _setVisitorCookieTimeout. Sets a custom Google Analytics visitor cookie expiration time frame in milliseconds.

  Final Thoughts 

  Thanks to its scale and longevity, Google Analytics has some strong sides, but its data accuracy isn’t 100% perfect.

  The inability to capture analytics data from users who don’t consent to cookie tracking and data sampling applied to bigger web properties may be a deal-breaker for your business. 

  If that’s the case, try Matomo — a GDPR-compliant, accurate web analytics solution. Start your 21-day free trial now. No credit card required.

  21 day free trial. No credit card required.

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• How to Conduct a Customer Journey Analysis (Step-by-Step)

  9 mai 2024, par Erin

  Your customers are everything.

  Treat them right, and you can generate recurring revenue for years. Treat them wrong ; you’ll be spinning your wheels and dealing with churn.

  How do you give your customers the best experience possible so they want to stick around ?

  Improve their customer experience.

  How ?

  By conducting a customer journey analysis.

  When you know how your customers experience your business, you can improve it to meet and exceed customer expectations.

  In this guide, we’ll break down how the customer journey works and give you a step-by-step guide to conduct a thorough customer journey analysis so you can grow your brand.

  What is a customer journey analysis ?

  Every customer you’ve ever served went on a journey to find you.

  From the moment they first heard of you, to the point that they became a customer. 

  Everything in between is the customer journey.

  A customer journey analysis is how you track and analyse how your customers use different channels to interact with your brand.

  

  Analysing your customer journey involves identifying the customer’s different touchpoints with your business so you can understand how it impacts their experience. 

  This means looking at every moment they interacted with your brand before, during and after a sale to help you gain actionable insights into their experience and improve it to reach your business objectives.

  Your customers go through specific customer touchpoints you can track. By analysing this customer journey from a bird’s eye view, you can get a clear picture of the entire customer experience.

  4 benefits of customer journey analysis

  Before we dive into the different steps involved in a customer journey analysis, let’s talk about why it’s vital to analyse the customer journey.

  By regularly analysing your customer journey, you’ll be able to improve the entire customer experience with practical insights, allowing you to :

  Understand your customers better

  What’s one key trait all successful businesses have ?

  They understand their customers.

  By analysing your customer journey regularly, you’ll gain new insights into their wants, needs, desires and behaviours, allowing you to serve them better. These insights will show you what led them to buy a product (or not).

  For example, through conducting a customer journey analysis, a company might find out that customers who come from LinkedIn are more likely to buy than those coming from Facebook.

  Find flaws in your customer journey

  Nobody wants to hear they have flaws. But the reality is your customer journey likely has a few flaws you could improve.

  By conducting customer journey analysis consistently, you’ll be able to pinpoint precisely where you’re losing prospects along the way. 

  For example, you may discover you’re losing customers through Facebook Ads. Or you may find your email strategy isn’t as good as it used to be.

  But it’s not just about the channel. It could be a transition between two channels. For example, you may have great engagement on Instagram but are not converting them into email subscribers. The issue may be that your transition between the two channels has a leak.

  Or you may find that prospects using certain devices (i.e., mobile, tablet, desktop) have lower conversions. This might be due to design and formatting issues across different devices.

  By looking closely at your customer journey and the different customer touchpoints, you’ll see issues preventing prospects from turning into leads or customers from returning to buy again as loyal customers.

  Gain insights into how you can improve your brand

  Your customer journey analysis won’t leave you with a list of problems. Instead, you’ll have a list of opportunities.

  Since you’ll be able to better understand your customers and where they’re falling off the sales funnel, you’ll have new insights into how you can improve the experience and grow your brand.

  For example, maybe you notice that your visitors are getting stuck at one stage of the customer journey and you’re trying to find out why.

  So, you leverage Matomo’s heatmaps, sessions recordings and scroll depth to find out more.

  In the case below, we can see that Matomo’s scroll map is showing that only 65% of the visitors are reaching the main call to action (to write a review). 

  

  To try to push for higher conversions and get more reviews, we could consider moving that button higher up on the page, ideally above the fold.

  Rather than guessing what’s preventing conversions, you can use user behaviour analytics to “step in our user’s shoes” so you can optimise faster and with confidence.

  Try Matomo for Free

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

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  Grow your revenue

  By taking charge of your customer journey, you can implement different strategies that will help you increase your reach, gain more prospects, convert more prospects into customers and turn regulars into loyal customers.

  Using customer journey analysis will help you optimise those different touchpoints to maximise the ROI of your channels and get the most out of each marketing activity you implement.

  7 steps to conduct a customer journey analysis

  Now that you know the importance of conducting a customer journey analysis regularly, let’s dive into how to implement an analysis.

  Here are the seven steps you can take to analyse the customer journey to improve your customer experience :

  

  1. Map out your customer journey

  Your first step to conducting an effective customer journey analysis is to map your entire customer journey.

  Customer journey mapping means looking at several factors :

  • Buying process
  • Customer actions
  • Buying emotions
  • Buying pain points
  • Solutions

  Once you have an overview of your customer journey maps, you’ll gain insights into your customers, their interests and how they interact with your brand. 

  After this, it’s time to dive into the touchpoints.

  2. Identify all the customer touchpoints 

  To improve your customer journey, you need to know every touchpoint a customer can (and does) make with your brand.

  This means taking note of every single channel and medium they use to communicate with your brand :

  • Website
  • Social media
  • Search engines (SEO)
  • Email marketing
  • Paid advertising
  • And more

  Essentially, anywhere you communicate and interact with your customers is fair game to analyse.

  If you want to analyse your entire sales funnel, you can try Matomo, a privacy-friendly web analytics tool. 

  You should make sure to split up your touchpoints into different customer journey stages :

  • Awareness
  • Consideration
  • Conversion
  • Advocacy

  Then, it’s time to move on to how customers interact on these channels.

  Try Matomo for Free

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

  Start for free

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  3. Measure how customers interact on each channel

  To understand the customer journey, you can’t just know where your customers interact with you. You end up learning how they’re interacting.

  This is only possible by measuring customer interactions.

  How ?

  By using a web analytics tool like Matomo.

  With Matomo, you can track every customer action on your website.

  This means anytime they :

  • Visit your website
  • View a web page
  • Click a link
  • Fill out a form
  • Purchase a product
  • View different media
  • And more

  You should analyse your engagement on your website, apps and other channels, like email and social media.

  4. Implement marketing attribution

  Now that you know where your customers are and how they interact, it’s time to analyse the effectiveness of each channel based on your conversion rates.

  Implementing marketing attribution (or multi-touch attribution) is a great way to do this.

  Attribution is how you determine which channels led to a conversion.

  While single-touch attribution models credit one channel for a conversion, marketing attribution gives credit to a few channels.

  For example, let’s say Bob is looking for a new bank. He sees an Instagram post and finds himself on HSBC’s website. After looking at a few web pages, he attends a webinar hosted by HSBC on financial planning and investment strategies. One week later, he gets an email from HSBC following up on the webinar. Then, he decides to sign up for HSBC’s online banking.

  Single touch attribution would attribute 100% of the conversion to email, which doesn’t show the whole picture. Marketing attribution would credit all channels : social media, website content, webinars and email.

  Matomo offers multiple attribution models. These models leverage different weighting factors, like time decay or linear, so that you can allocate credit to each touchpoint based on its impact.

  Matomo’s multi-touch attribution reports give you in-depth insights into how revenue is distributed across different channels. These detailed reports help you analyse each channel’s contribution to revenue generation so you can optimise the customer journey and improve business outcomes.

  Try Matomo for Free

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

  Start for free

  No credit card required

  5. Use a funnels report to find where visitors are leaving

  Once you set up your marketing attribution, it’s time to analyse where visitors are falling off.

  You can leverage Matomo funnels to find out the conversion rate at each step of the journey on your website. Funnel reports can help you see exactly where visitors are falling through the cracks so you can increase conversions.

  6. Analyse why visitors aren’t converting

  Once you can see where visitors are leaving, you can start to understand why.

  For example, let’s say you analyse your funnels report in Matomo and see your landing page is experiencing the highest level of drop-offs.

  

  You can also use form analytics to find out why users aren’t converting on your landing pages – a crucial part of the customer journey.

  7. A/B test to improve the customer journey

  The final step to improve your customer journey is to conduct A/B tests. These are tests where you test one version of a landing page to see which one converts better, drives more traffic, or generates more revenue.

  For example, you could create two versions of a header on your website and drive 50% of your traffic to each version. Then, once you’ve got your winner, you can keep that as your new landing page.

  

  Using the data from your A/B tests, you can optimise your customer journey to help convert more prospects into customers.

  Use Matomo to improve your customer journey analysis

  Now that you understand why it’s important to conduct customer journey analysis regularly and how it works, it’s time to put this into practice.

  To improve the customer journey, you need to understand what’s happening at each stage of your funnel. 

  Matomo gives you insights into your customer journey so you can improve website performance and convert more visitors into customers.

  Used by over 1 million websites, Matomo is the leading privacy-friendly web analytics solution in the world. 

  Matomo provides you with accurate, unsampled data so you understand exactly what’s going on with your website performance.

  The best part ?

  It’s easy to use and is compliant with the strictest privacy regulations.

  Try Matomo free for 21-days and start Improving your customer journey. No credit card required.

  Try Matomo for Free

  21 day free trial. No credit card required.

  
  

  Your email address
  

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• Consent management platforms : Keys to compliance and user trust

  14 juin, par Joe

  Today’s marketing managers and data analysts face a tricky balancing act : gaining meaningful customer insights while respecting user privacy. Finding ways to navigate the maze of complex privacy regulations while managing consent at scale can be daunting. 

  Consent management platforms (CMPs) offer a solution. They allow companies to collect data ethically, manage user consent efficiently, and comply with privacy regulations like Europe’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA).

  This guide explains everything you need to know about CMPs : how they function, why they’re essential for data governance, and how they work hand-in-hand with analytics platforms to promote transparency and build trust with users.

  What is a consent management platform (CMP) and what is it for ?

  A consent management platform (CMP) helps organisations collect, organise, and store user consent for personal data processing purposes. In short, it’s a tool that ensures data collection respects user privacy and complies with regulations like the GDPR and CCPA.

  Without a CMP, businesses could face hefty fines and penalties for violating data privacy laws in different parts of the world. This shows how vital these tools are to all modern businesses.

  How do consent management platforms work ?

  CMPs give users a clear and straightforward way to provide explicit consent for data collection. These platforms manage both the technical aspects of consent storage and the user experience on your site or app.

  Here’s a simplified breakdown :

  • Cookie consent banners : The CMP displays a banner whenever a user visits your website. This banner explains the types of personal information collected and for what purpose.
  • User choice : The user can accept or reject cookies and trackers. They can often customise their preferences to choose which specific data types they’re willing to share.
  • Preference storage : The CMP stores the user’s choices. This information helps ensure that you only collect and process the permitted data.
  • Integration with other systems : CMPs integrate with other systems, such as analytics platforms and advertising networks, to ensure that data collection and processing comply with the user’s choices throughout the customer experience.

  

  A key feature of CMPs is their role in shaping privacy policy design. This design encompasses the layout, visual elements, and cues employed to seek user consent.

  A recent study by Karlstad University in Sweden showed that privacy policy design significantly influences user comprehension and willingness to disclose information. In other words, it affects consent rates considerably and is key to enhancing data collection.

  Importance of consent management for compliance

  As the world becomes increasingly interconnected, consent management is taking centre stage. Although it applies to all technologies and systems that gather or handle personal data, few instances are as relevant as smart homes.

  Smart home devices have unique access to our personal spaces and private lives. They represent a unique challenge to consent management since one person is potentially granting access to personal data from themselves and other people who may be inside or around the house.

  A 2023 study by the University College London and the University of Oxford pointed out that clear design principles and granular, contextual permission structures are essential in these situations.

  However, consent management isn’t just best practice. It’s a widespread legal requirement. Not meeting these requirements can result in hefty penalties and reputational damage to your organisation.

  Consent management under GDPR

  The European Union’s GDPR is a data protection law applicable to organisations that process the personal data of individuals residing in the European Economic Area (EEA). It’s based on the principle of opting in.

  The GDPR is one of the strongest data privacy laws globally. For non-compliance, fines can be up to €20 million or 4% of the company’s total global turnover (whichever is higher).

  It’s also one of the most heavily enforced privacy laws. According to enforcementtracker.com, Meta was fined €1.2 billion in 2023, with GDPR fines reaching over €2 billion that year alone. In the UK, the largest GDPR fine is €22.05 million, according to Statista. It pays to comply.

  The GDPR has specific rules around consent, including that it must be :

  • Freely given : Users must not be pressured or coerced.
  • Specific : Must be given for specific data processing purposes.
  • Informed : Users must be provided with clear and concise information.
  • Unambiguous : Permission must be granted through clear and affirmative action, such as checking a box or tapping a button.

  CMPs help you meet these requirements by providing a transparent and user-friendly way to obtain and manage consent.

  Consent management under CCPA

  The CCPA is another privacy protection law for businesses collecting personal information from California residents. It grants Californians the right to know what data is being collected about them, to prevent it from being sold, and to request its deletion.

  CMPs support CCPA compliance by enabling users to exercise their rights and ensuring transparent data collection practices.

  Managing consent under other regulatory frameworks

  In addition to the GDPR and CCPA, numerous other privacy regulations can impact your organisation. These regulations include :

  • The COPPA in the US
  • Brazil’s LGPD
  • Japan’s APPI
  • Canada’s PIPEDA.
  • Australia’s Privacy Act 1988 

  A CMP will help streamline the process by providing a clear, practical framework to ensure you meet all applicable requirements.

  Key features to look for in a CMP

  Choosing the right CMP is crucial for global business.

  Here are some key features to consider :

  Custom banners

  Consent banners are often among users’ first digital interactions with your brand. It should be clear, concise and visually appealing. Look for a CMP that allows you to :

  • Customise the banner’s design to match your website’s branding and aesthetics.
  • Control the banner’s positioning for optimal visibility.

  End-user management tools

  The CMP should also offer a user-friendly interface allowing visitors to grant, manage and withdraw consent.

  This includes customisable banners, granular permissions, and a preference centre. The latter is a dedicated space where users can manage their preferences anytime.

  Integration capabilities with existing systems

  The CMP should integrate with your existing technology stack, including your analytics platform, marketing automation tools and CRM. This integration ensures a smooth workflow and prevents data silos.

  How to select the right CMP for your organisation

  To find the perfect CMP, focus on your specific needs and priorities. Here’s a step-by-step guide to help you make an informed decision :

  Assessing organisational needs and goals

  Start by clearly defining your organisation’s requirements. Consider the following :

  • Types of data collected : What personal data do you collect (for example, cookies, IP addresses, location data) ?
  • Compliance requirements : Which privacy regulations must you comply with (GDPR, CCPA, COPPA) ?
  • Website or app complexity : How complex is your website or app in terms of user interactions and data collection points ?
  • Budget : How much are you willing to invest in a CMP ?

  Comparing features and pricing

  Once you thoroughly understand your needs, you can compare the features and pricing of various CMPs. Look for key features like :

  • Customisable banners
  • Granular options
  • Preference centre
  • Integration with existing systems
  • Analytics and reporting

  Once you’ve shortlisted a few options, compare the pricing and choose the best value for your budget. Take advantage of free trials before committing to a paid plan.

  Checking verified user reviews

  Read user reviews on platforms like G2 or Trustpilot to get an idea of the strengths and weaknesses of different CMPs. Look for reviews from similar organisations regarding size, industry and compliance requirements.

  Integration with a privacy-focused analytics platform

  A consent management platform acts as the bridge between your users and your analytics and marketing teams. It ensures user preferences are communicated to your analytics setup, so data collection and analysis align with their choices and comply with privacy regulations. 

  Finding a consent manager integration that works with your analytics setup is essential for businesses.

  Top five consent management platforms

  The CMP market is pretty competitive, with many players providing excellent solutions. According to Emergen Research, it was valued at $320.9 million in 2021 and is growing at 21.2%.

  Here are five of our top choices 

  1. usercentrics

  usercentrics is a comprehensive CMP with customisable banners, granular consent options and a preference centre.

  

  usercentrics geolocation rulesets page (Source : Usercentrics)

  This Google-certified CMP allows you to create global and regional consent rules to ensure compliance with local regulations like GDPR, CCPA and LGPD. For a smooth implementation, usercentrics provides access to a knowledgeable support team and a dedicated customer success executive.

  It’s worth noting that Usercentrics is the CMP we use here at Matomo. It helps us in our mission to collect and analyse data ethically and with a privacy-first mindset.

  • Key features : Customisable banners, granular permissions, cross-domain and cross-device capabilities, automatic website scans, reporting and analytics.
  • Pricing : Usercentrics offers a free plan and four paid subscription plans from €7 to €50 per month.

  2. Osano

  Osano is a user-friendly CMP focusing on transparency and ease of use.

  

  Osano’s main dashboard (Source : Osano)

  Osano can scan websites for tracking technologies without impacting the user experience.

  • Key features : Customisable banners, multi-language support, granular consent options, a preference centre and access to a knowledgeable team of compliance specialists.
  • Pricing : Osano offers a self-service free plan and a paid plan at $199 per month.

  3. Cookiebot

  Cookiebot is another popular CMP with numerous integration options, including Matomo and other analytics tools. 

  

  Cookiebot consent banner options (Source : Cookiebot)

  • Key features : A cookie scanner, a privacy trigger or button allowing users to change their consent settings, a consent management API and advanced analytics.
  • Pricing : Cookiebot offers a free plan and paid plans ranging from €7 to €50 per month.

  4. CookieYes

  CookieYes is well-suited for small businesses and websites with basic privacy needs. 

  

  CookieYes cookie banner options (Source : CookieYes)

  It offers various features, including multilingual support, geo-targeting, privacy policy generation, and a preference centre. CookieYes also integrates with analytics and CMS tools, making it easy to implement as part of your stack.

  • Key features : Customisable consent banners, granular consent options, preference centre, integration with Matomo, reporting and analytics.
  • Pricing : You can use CookieYes for free or subscribe to one of their three paid plans, which range from $10 to $55 per month.

  5. Tarte au Citron

  Tarte au Citron is an open-source, lightweight, and customisable CMP developed in France.

  

  (Source : Tarte au Citron)

  Its focus is on transparency and user experience. It provides many features free of charge, but many do require some technical knowledge to deploy. There’s also a paid subscription with ongoing support and faster implementation.

  Tarte au Citron integrates with Matomo, which is also open-source. If you’re building an open-source stack for your analytics, Matomo and Tarte au Citron make an excellent pair.

  • Key features : Open-source, customisable consent banners, integration with Matomo, works with over 220 services.
  • Pricing : You can deploy the open-source core for free, but Tarte au Citron offers three paid licenses starting at €190 for one year and reaching €690 for a lifetime license.

  How to implement cookie consent the right way

  Implementing cookie consent requires precision, time and effort. But doing it wrong can result in significant legal penalties and severe reputational damage, eroding user trust and impacting your brand’s standing. Here are the key dos and don’ts of consent :

  

  Provide clear and concise information

  Use plain language that is easy for anyone to understand. Avoid using technical terms or legal jargon that may confuse users.

  Prioritise transparency

  Be upfront about your data collection practices. Clearly state what data you collect, how you use it and who you share it with. Provide links to your privacy and cookie policies for users who want to learn more.

  Offer granular control

  Give users detailed control over as many of their cookie preferences as possible. Allow them to choose which categories of tracking cookies they consent to, such as strictly necessary, performance and marketing cookies.

  Implement user-friendly banners

  Ensure banners are prominently displayed, easy to understand, and use clear and concise language. Also, make sure they’re accessible to all users, including those with disabilities.

  Respect “do not track” settings

  It’s essential to honour users’ choices when they enable their “do not track” browser setting.

  Document consent

  Maintain a record of user consent. This will help you demonstrate compliance with data privacy regulations and provide evidence of user consent in case of an audit or investigation.

  Regularly review and update consent policies

  Review and update your customer consent policies regularly to ensure they comply with evolving data privacy regulations and reflect your current data collection practices.

  Cookie consent pitfalls to avoid

  Here are some common pitfalls to avoid that may lead to legal penalties, loss of user trust or inaccurate analytics :

  • Avoid lengthy and complicated explanations. Overwhelming users with dense legal jargon or overly technical details can lead to consent fatigue and reduce the likelihood of informed consent.
  • Don’t force users to accept all cookies or none. Blanket consent options violate user autonomy and fail to comply with regulations like the GDPR.
  • Don’t make information about your data collection practices hard to find. Hidden or buried privacy policies breed suspicion and erode trust.
  • Avoid pre-checking all cookie consents. Pre-checked boxes imply consent without explicit user action, which is not compliant with GDPR and similar regulations. Users must actively opt in, not out.

  Emerging consent management trends 

  Consent management is constantly evolving and driven by new technologies, regulations, and user expectations. Here are some emerging trends to watch out for in the short term :

  • Increased automation : AI and machine learning are helping automate consent management processes, making them more efficient and effective.
  • Enhanced user experience : CMPs are becoming more user-friendly, focusing on providing an intuitive experience.
  • Privacy-preserving analytics : CMPs are being integrated with privacy-preserving analytics platforms, such as Matomo, to enable organisations to gain insights into user behaviour without compromising privacy.
  • Google Consent Mode : In 2024, Google rolled out Consent Mode v2 to align with the Digital Markets Act. Due to upcoming privacy regulations, more versions may be coming soon.

  The Privacy Governance Report 2024 also highlights the increasing complexity of managing data privacy, with more than four in five privacy professionals taking on additional responsibilities in their existing roles. This trend will likely continue in the coming years as more privacy laws are enacted.

  Addressing upcoming privacy regulations

  Data privacy and user consent requirements continue to emerge and evolve. Businesses must stay informed and adapt their practices accordingly.

  

  In 2025, several new privacy regulations are going into effect, including :

  • New state-level privacy laws in eight US states :
    • Delaware (1 January 2025)
    • Iowa (1 January 2025)
    • Nebraska (1 January 2025)
    • New Hampshire (1 January 2025)
    • New Jersey (15 January 2025)
    • Tennessee (1 July 2025)
    • Minnesota (31 July 2025)
    • Maryland (1 October 2025)
  • The EU’s Artificial Intelligence Act (which will be implemented from 1 August 2024 through 2 August 2026) and other AI-focused regulations.
  • The UK Adequacy Decision Review has a deadline of 27 December 2025.

  Organisations that collect, process or otherwise handle data from Europe and the above-named US states should proactively prepare for these changes by :

  • Conducting regular privacy impact assessments
  • Reviewing consent mechanisms regularly
  • Implementing data minimisation strategies
  • Providing user-friendly privacy controls

  Future-proofing your consent management strategy

  CMPs are essential for managing consent preferences, protecting user privacy, and earning customers’ trust through transparency and ethical data practices.

  When choosing a CMP, you should consider key features such as integration capabilities, customisation options and user-friendly interfaces.

  Integrating a CMP with a privacy-first analytics solution like Matomo allows you to collect and analyse data in a way that’s compliant and respectful of user preferences. This combination helps maintain data integrity while demonstrating a strong commitment to privacy. 

  Start your 21-day free trial today.