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• Top 5 Customer Segmentation Software in 2024

  12 mars 2024, par Erin

  In marketing, we all know the importance of reaching the right customer with the right message at the right time. That’s how you cut through the noise.

  For that, you need data on your customers — even though gathering the data is not enough. You can have all the data worldwide, but that raises an ethical responsibility and the need to make sense of it.

  Enter customer segmentation software — the answer to delivering personalised customer experiences at scale. 

  This article lists some of the best customer segmentation tools currently in the market. 

  We’ll also go over the benefits of using such tools and how you can choose the best one for your business.

  Let’s get started !

  What is customer segmentation software ?

  Customer segmentation software is a tool that helps businesses analyse customer data and group them based on common characteristics like age, income, and buying habits.

  The main goal of customer segmentation is to gain deeper insights into customer behaviours and preferences. This helps create targeted marketing and product strategies that fit each group and makes it easier to predict how customers will behave in the future.

  

  Benefits of a customer segmentation software

  Understanding your customers is the cornerstone of effective marketing, and customer segmentation software plays a pivotal role in this endeavour. 

  You can deliver more targeted and relevant marketing campaigns by dividing your audience into distinct groups based on shared characteristics. 

  Specifically, here are the main benefits of using customer segmentation tools :

  • Understand your audience better : The software helps businesses group customers with common traits to better understand their preferences and behaviour.
  • Make data-driven decisions : Base your business and marketing decisions on data analytics.
  • Aid product development : Insights from segmentation analytics can guide the creation of products that meet specific customer group needs.
  • Allocate your resources efficiently : Focusing on the customer segments that generate the most revenue leads to more effective and strategic use of your marketing resources.

  Best customer segmentation software in 2024 

  In this section, we go over the top customer segmentation tools in 2024. 

  We’ll look at these tools’ key features and pros and cons.

  1. Matomo

  

  Matomo is a comprehensive web analytics tool that merges traditional web analytics, such as tracking pageviews and visitor bounce rates, with more advanced web analytics features for tracking user behaviour. 

  With robust segmentation features, users can filter website traffic based on criteria such as location and device type, enabling them to analyse specific visitor groups and their behaviour. Users can create custom segments to analyse specific groups of visitors and their behaviour.

  Presenting as the ethical alternative to Google Analytics, Matomo emphasises transparency, 100% accurate data, and compliance with privacy laws.

  Key features

  • Heatmaps and Session Recordings : Matomo provides tools that allow businesses to understand website user interactions visually. This insight is crucial for optimising user experience and increasing conversions.
  • Form Analytics : This feature in Matomo tracks how users interact with website forms, helping businesses understand user behaviour in detail and improve form design and functionality.
  • User Flow Analysis : The tool tracks the journey of a website’s visitors, highlighting the paths taken and where users drop off. This is key for optimising website structure for better user experience and more conversions.
  • A/B Testing : Businesses can use Matomo to test different versions of web pages, determining which is more effective in driving conversions.
  • Conversion Funnels : This feature allows businesses to visualise and optimise the steps customers take toward conversion, identifying areas for improvement.

  Pros 

  • Affordability : With plans starting at $19 per month, Matomo is a cost-effective solution for CRO.
  • Free support : Matomo provides free email support to all Matomo Cloud users.
  • Open-source benefits : Being open-source, Matomo offers enhanced security, privacy, customisation options, and a supportive community.
  • Hosting options : Matomo is available either as a self-hosted solution or cloud-hosted.

  Cons

  • Cost for advanced features : Access to advanced features may incur additional costs for Matomo On-Premise users, although the On-Premise solution itself is free.
  • Technical knowledge required : The self-hosted version of Matomo requires technical knowledge for effective management.

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  2. Google Analytics 

  

  Google Analytics 4 (GA4) comprehensively understands website and app performance. It focuses on event-based data collection, allowing businesses to understand user interactions across platforms. 

  Similarly to Matomo, GA4 provides features that allow businesses to segment their audience based on various criteria such as demographics, behaviours, events, and more.

  Key features

  • Event-based tracking : GA4’s shift to an event-based model allows for a flexible and predictive analysis of user behaviour. This includes a detailed view of user interactions on websites and apps.
  • Machine Learning and Smarter Insights : GA4 uses machine learning to automatically detect trends, estimate purchase probabilities and provide marketing insights.
  • Google Ads integration : The integration with Google Ads in GA4 enables tracking customer interactions from first ad engagement, providing a holistic view of the customer experience across various platforms.
  • Customer-centric measurements : GA4 collects data as events, covering a wide range of user interactions and offering a comprehensive view of customer behaviour.
  • Pathing reports : GA4 introduces new pathing reports, allowing detailed user flow analysis through websites and apps.
  • Audiences and filters : GA4 allows the creation of audiences based on specific criteria and the application of filters to segment and refine data analysis.

  Pros 

  • Integration with various platforms, including Google Ads, enhances cross-platform user journey analysis.
  • GA4 has a clean reporting interface, making it easier for marketers to identify key trends and data irregularities.
  • Google Analytics has an active community with an abundance of educational resources available for users.

  Cons

  • Complexity for beginners : The wide range of features and new event-based model might overwhelm users new to analytics tools.
  • Dependence on machine learning : Reliance on machine learning for insights and predictions may require trust in the tool’s data processing and large volumes of traffic for accuracy.
  • Transition from UA to GA4 : Users familiar with Universal Analytics (UA) might find the transition to GA4 challenging due to differences in features and data models.

  3. HubSpot

  

  HubSpot is a marketing and sales software that helps businesses attract visitors and turn them into paying customers. 

  It supports various business processes, from social media posts to email marketing, sales, and customer service. HubSpot organises and tracks user interactions across different channels, providing a unified and efficient approach to customer relationship management (CRM) and customer segmentation.

  Businesses can leverage HubSpot’s customer segmentation through lists, workflows, and smart content.

  Key features

  • Integration capabilities : HubSpot offers over 1,000 integrations in its ecosystem, ensuring seamless connectivity across various marketing, sales, and service tools, which helps maintain data consistency and reduces manual efforts.
  • Segmentation and personalisation : HubSpot allows businesses to deliver personalised content and interactions based on customer behaviour and preferences, using its robust CRM features and advanced automation capabilities.

  Pros 

  • Comprehensive support : HubSpot offers a range of support options, including a knowledge base, real-time chat, and more.
  • User-friendly interface : The platform is designed for ease of use, ensuring a smooth experience even for less tech-savvy users.
  • Personalisation capabilities : HubSpot provides personalised marketing, sales and service experiences, leveraging customer data effectively.

  Cons

  • High price point : HubSpot can be expensive, especially as you scale up and require more advanced features.
  • Steep learning curve : For businesses new to such comprehensive platforms, there might be an initial learning curve to utilise its features effectively.

  4. Klaviyo

  

  Klaviyo is a marketing automation software primarily focused on email and SMS messaging for e-commerce businesses. It’s designed to personalise and optimise customer communication. 

  Klaviyo integrates with e-commerce platforms like Shopify, making it a go-to solution for online stores. Its strength lies in its ability to use customer data to deliver targeted and effective marketing campaigns.

  Key features

  • Email marketing automation : Klaviyo allows users to send automated and personalised emails based on customer behaviour and preferences. This feature is crucial for e-commerce businesses in nurturing leads and maintaining customer engagement.
  • SMS marketing : It includes SMS messaging capabilities, enabling businesses to engage customers directly through text messages.
  • Segmentation and personalisation : Klaviyo offers advanced segmentation tools that enable businesses to categorise customers based on their behaviour, preferences and purchase history, facilitating highly targeted marketing efforts.
  • Integration with e-commerce platforms : Klaviyo integrates with popular e-commerce platforms like Shopify, Magento, and WooCommerce, allowing easy data synchronisation and campaign management.

  Pros 

  • Enhanced e-commerce integration : Klaviyo’s deep integration with e-commerce platforms greatly benefits online retailers regarding ease of use and campaign effectiveness.
  • Advanced segmentation and personalisation : The platform’s strong segmentation capabilities enable businesses to tailor their marketing messages more effectively.
  • Robust automation features : Klaviyo’s automation tools are powerful and user-friendly, saving time and improving marketing efficiency.

  Cons

  • Cost : Klaviyo can be more expensive than other options in this list, particularly as you scale up and add more contacts.
  • Complexity for beginners : The platform’s wide range of features and advanced capabilities might overwhelm beginners or small businesses with simpler needs.

  5. UserGuiding

  

  UserGuiding is a no-code product adoption tool that lets businesses create in-app user walkthroughs, guides, and checklists to onboard, engage, and retain users.

  UserGuiding facilitates customer segmentation by enabling businesses to create segmented onboarding flows, analyse behavioural insights, deliver personalised guidance, and collect feedback tailored to different user segments.

  Key features

  • In-app walkthroughs, guides and checklists : UserGuiding has multiple features that can promote product adoption early in the user journey.
  • In-app messaging : UserGuiding offers in-app messaging to help users learn more about the product and various ways to get value.
  • User feedback : UserGuiding allows businesses to gather qualitative feedback to streamline the adoption journey for users.

  Pros 

  • User-friendly interface
  • Customisable onboarding checklists
  • Retention analytics

  Cons

  • Need for technical expertise to maximise all features
  • Limited customisation options for less tech-savvy users

  What to look for in a customer segmentation software 

  When choosing a customer segmentation software, choosing the right one for your specific business needs is important. 

  Here are a few factors to consider when choosing your customer segmentation tool :

  1. Ease of use : Select a tool with an intuitive interface that simplifies navigation. This enhances the user experience, making complex tasks more manageable. Additionally, responsive customer support is crucial. It ensures that issues are promptly resolved, contributing to a smoother operation.
  2. Scalability and flexibility : Your chosen tool should adjust to your needs. A flexible tool like Matomo can adjust to your growing requirements, offering capabilities that evolve as your business expands.
  3. Integration capabilities : The software should seamlessly integrate with your existing systems, such as CRM, marketing, and automation platforms. 
  4. Advanced analytics and reporting : Assess the software’s capability to analyse and interpret complex data sets, without relying on machine learning to fill data gaps. A robust tool should provide accurate insights and detailed reports, enabling you to make informed decisions based on real data.
  5. Privacy and security considerations : Data security is paramount in today’s digital landscape. Look for features like data encryption, security storage, and adherence to privacy standards like GDPR and CCPA compliance. 
  6. Reviews and recommendations : Before making a decision, consider the reputation of the software providers. Look for reviews and recommendations from other users, especially those in similar industries. This can provide real-world insights into the software’s performance and reliability.

  

  Leverage Matomo’s segmentation capabilities to deliver personalised experiences

  Segmentation is the best place to start if you want to deliver personalised customer experiences. There are several customer segmentation software in the market. But they’re not all the same.

  In this article, we reviewed the top segmentation tools — based on factors like their user base, features, and ethical data privacy considerations.

  Ideally, you want a tool to support your evolving business and segmentation needs. Not to mention one that cares about your customers’ privacy and ensures you stay compliant. 

  Enter Matomo at the top of the list. You can leverage Matomo’s accurate insights and comprehensive segmentation capabilities without compromising on privacy. Try it free for 21-days. No credit card required.

  Try Matomo for Free

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

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

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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.

  Try Matomo for Free

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

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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.

  Try Matomo for Free

  21 day free trial. No credit card required.

  
  

  Your email address
  

  Your website address
  

  Your Analytics subdomain will be .matomo.cloud (change)

  Choose your analytics subdomain
  

  .matomo.cloud

  I accept the terms and conditions and data processing agreement (DPA)

  
  Your information will be used to create an account on our cloud service. For more information please consult our privacy policy.
  
  
  

  Start improving your websites now

  

• How to Check Website Traffic : A Complete Guide

  26 février, par Daniel Crough — Analytics Tips, Marketing

  If you want to learn about the health of your website and the success of your digital marketing initiatives, there are few better ways than checking your website traffic.

  Checking website traffic is a great way to get a dopamine hit when things are up. And it’s a great way to troubleshoot problems when things go down. It’s also a critical data source for marketing and web teams. But to get the most out of it, you need reliable data sources, the ability to track them over time and a way to monitor the competition.

  This article explains how to check website traffic (for your site and your competitors), explores nine tools that can help and discusses why some methods are better than others.

  Why check website traffic ?

  Dopamine hits aside, monitoring website traffic is crucial to a business — even for a primarily brick-and-mortar operation. In this internet age, customers and prospects are far more likely to research a company online before buying anything.

  SOCi’s 2024 Consumer Behavior Index found that 8 in 10 US consumers use the internet to search for local businesses at least once a week. And Statista found that 55% of UK shoppers always do some online research before making a major purchase.

  And trend lines suggest these numbers are likely to continue climbing. Businesses need to know what’s happening on their sites, and that’s difficult to achieve without traffic data.

  Indeed, website data allows companies to better understand their target audiences, measure the effectiveness of marketing efforts and channels, and identify areas of the website that need work.

  Let’s dig into those ideas in a little more detail.

  

  Benchmark site performance

  Keeping regular tabs on traffic levels is a great way to track a website’s performance over time. It can help with planning for the future and identifying current problems.

  For instance, rising traffic levels may mean expanding the business’s offering or investing in more inventory. On the flip side, decreasing traffic levels may suggest it’s time to revamp marketing strategies or look into issues impacting SEO.

  Analyse user behaviour

  Checking website traffic, user behaviour, and other metrics shows marketing managers how users interact with the website. These traffic stats can help answer questions like :

  • Which pages are users visiting ?
  • Which CTAs are they clicking on ?
  • Which page elements encourage users to take the desired actions ?

  It can also identify issues contributing to high bounce rates or declines in search rankings.

  The better user behaviour is understood, the easier it is to give visitors what they want. For example, the data could reveal that users spend more time on landing pages than blogs. These valuable insights can be used to optimise blog content and improve performance.

  Improve the user experience

  Once user behaviour is well understood, it’s easier to make adjustments, update content and improve the overall user experience. This also allows companies to create more personalised customer experiences, which can lead to growth. Research shows companies that get personalisation right generate 40% more revenue from those activities than average players.

  That could take the form of sweeping changes like rearranging a website’s navigation bar based on user behaviour. It could also be personalisation that uses analytics to transform sections or entire pages based on individual user behaviour.

  Optimise digital marketing strategies

  Knowing current traffic levels and how they trend over time helps teams set benchmarks and prioritise marketing efforts.

  Monthly traffic reports can inform SEO efforts and benefit marketing attribution. For example, they could indicate when the time is right to double down on organic traffic or when the better strategy would be to invest more in PPC advertising.

  Increasing organic traffic levels from other countries can help businesses identify new marketing opportunities. If traffic levels from a neighbouring country or a growing market increase significantly, it could be time for a cross-border campaign.

  Filter unwanted traffic

  A significant chunk of every website’s traffic comes from bots and other unwanted sources. This can compromise the quality of website data and make it harder to draw useful insights. While it’s nearly impossible to get rid of this traffic completely, many analytics tools have features to filter it out of the stats.

  Why check competitors’ website traffic

  Websites are windows into businesses and their strategies. That’s why monitoring traffic and other metrics drawn from competitors is essential.

  There’s a lot to learn from the competition, both good and bad. What competitors do well can be replicated, and learning from the elements they get wrong can help you avoid making the same mistakes.

  • Strategic planning : Looking at traffic on specific pages can offer insight into potential marketing campaigns and highlight gaps in the market that may be worth attacking. Looking at their organic, paid, social and referral traffic levels can highlight opportunities for growth or pinpoint the reasons for success in a particular area.
  • Benchmarking : Looking at website traffic in isolation can lack context. Monitoring other sites’ engagement metrics, like bounce rate and average session duration, can give you an inside look at the competition, which can help you set realistic performance goals and benchmarks.
  • Product Development : Significant traffic volume on certain pages can indicate shifts in demand and market trends, which may inform the development of new products or services. For example, if a competitive dog food supplier ranks well for the term “organic dog food”, that might be something to consider when formulating new products.
  • Audience demographics : Comparing audience demographics between competitors can highlight opportunities and help a business narrow down its target audience. This guides messaging and campaign strategies to capture specific audience segments.
  • Keyword opportunities : Examining the keywords driving the most traffic to a competitor’s website can help you uncover untapped SEO potential for your website. Analysing top-performing content on competing sites can help identify content improvement strategies to pull traffic away from competitors.
  • Partnerships : Referrals are an often overlooked traffic metric. High volumes of such traffic indicate successful partnerships between competitors and third parties, which is a model worth emulating.

  7 key website traffic metrics to track

  Traffic metrics are not a case of one-size-fits-all. Those that are important today may not be tomorrow. It all depends on the priorities and goals at any one moment. That said, there are a few traffic metrics that always matter to some degree.

  • New visitors : These are users who have never visited the website before. They are a great sign that marketing efforts are working and the website is reaching more people. But it’s also important to track how they behave on the website to ensure the site caters effectively to the needs of new visitors.
  • Returning visitors : Returning visitors are coming back to the website for a reason : either they like the content they find or want to buy something. Either way, it’s excellent news. The more returning visitors, the better.
  • Bounce rate : This measures how many users leave the website without taking action. Different analytics tools measure this metric differently.
  • Session duration : This is the time users spend on the website, which can reveal whether they find the site engaging. And when considered alongside the next metric, it can be especially insightful.
  • Pages per session : This measures the average number of pages users visit on a website. The more pages they visit and the longer users spend on the website, the more engaging it is.
  • Traffic source : Traffic can come from various sources (organic, direct, social media, referral, etc.). Knowing the highest sources of referral traffic can help analyse and prioritise marketing efforts.
  • User demographics : This shows who visits a website, what device they use, what country they come from, etc. While most website traffic will come from the countries targeted by marketing, an influx of new users from other countries can open the door to new opportunities.

  9 tools to check website traffic

  There are thousands of different web analytics tools that can provide decent website traffic analysis and functionality checks. They all use a similar combination of sophisticated algorithms, data collection techniques, statistical analysis and machine learning to deliver insights into visitor behaviour and site performance.

  Most web analytics tools work by embedding bits of JavaScript or other tracking codes into a website. When users land on a website, it gathers data such as page views, session duration, and specific interactions. Many also use cookies to identify returning visitors, which lets them monitor user behaviour over time.

  Many tools offer advanced event-tracking functionality. This captures specific actions, like clicks or form submissions, and provides a more granular view of engagement. The data is then statistically analysed to spot trends and calculate key metrics like bounce rates and conversion rates.

  Some web analytics tools use machine learning to predict future user behaviour based on historical patterns. Others aggregate data to provide insights via charts comparing website performance with selected competitors’ websites.

  This section explores nine popular tools for checking website traffic and highlights their unique features and benefits.

  1. Checking website traffic with Google Analytics

  Google Analytics is usually the first place to start for anyone looking to check their website traffic. It’s free to use, incredibly popular and offers a wide range of traffic reports.

  It breaks down historical traffic data in many different ways. It can split traffic by acquisition channel (organic, social media, direct, etc.), by country, device or demographic. It also provides real-time traffic reports that offer a snapshot of users on the site right now and over the last 30 minutes.

  

  Google Analytics may be one of the most popular ways to check website traffic, but it could be better. Google Analytics 4 (GA4) is difficult to use compared to its predecessor, and it also imposes data tracking limits in accordance with privacy laws. If users refuse cookie consent, Google Analytics won’t record those visits. In other words, using Google Analytics alone doesn’t provide a complete view of the traffic.

  

  Also, GA4 relies on sampling when processing large datasets or complex queries. When the volume of data exceeds certain thresholds, it only considers a subset of the data to generate reports instead of processing every single data point.

  There are pros and cons to this approach. While it speeds up analysis and reduces the load on the system, it can also lead to inaccuracies in insights delivered. When analysing traffic patterns over a busy period, GA4 may only use a portion of the data to calculate and then extrapolate metrics.

  As a result, trends or anomalies might be overlooked or misconstrued, which could mean missed opportunities or poor decisions. That’s why it’s important to use Google Analytics alongside other web analytics tools (like Matomo) that don’t suffer from the same privacy issues. That way, it’s possible to track every single user who visits the website.

  2. Checking website traffic with Google Search Console

  Google Search Console is a free tool that analyses a website’s Google search traffic. The top-line report shows how many times the website has appeared in Google Search, how many clicks it has received, the average clickthrough rate and its average position in the search results.

  

  It’s a great way to understand what the website ranks for and how much traffic organic rankings generate. It will also show which pages are indexed in Google and whether there are any crawling errors.

  Unfortunately, Google Search Console is limited if a complete view of traffic is needed. While the search traffic can be analysed in great detail, it will not report how users who access the website behave on it.

  3. Checking website traffic with Similarweb

  Similarweb is a website analysis tool that estimates the total traffic of any site on the internet. It is one of the best traffic checker tools for estimating how much web traffic competitors receive.

  What’s great about Similarweb is that it estimates total traffic, not just traffic from search engines like many SEO tools. It even breaks down traffic by different channels for easy comparison.

  

  Similarweb provides an estimate of total visits, bounce rate, the average number of pages users view per visit and the average duration on the site. The company also has a free browser extension that continues checking website traffic estimates while the user is browsing the web.

  Similarweb is free to use, up to a point. However, to get the most out of this tool, you must upgrade to the premium plan, which starts at $125 per user per month.

  The price isn’t Similarweb’s only downside. Ultimately, it provides reasonably accurate estimates but is no match for a comprehensive traffic analytics tool.

  4. Checking website traffic with Semrush

  Semrush is a collection of marketing solutions for online businesses. Its Traffic Analytics tool checks the website traffic of up to 100 sites and compares that data side-by-side. For each site, it reveals the top pages, the regions from which most of the traffic comes, and the locations from which the most referrals come.

  Semrush also gathers insights into competitors’ audiences and their activity, especially activity that overlaps between the sites being checked. It extracts and analyses comprehensive data on organic and paid search, social media, and backlinks.

  

  However, there are notable downsides. Semrush can be pricey, with plans starting at about $119.95 per month or $1,199.40 annually. This cost may be prohibitive for smaller businesses or freelancers. Still, a free version offers most of the functionality but with a limited number of daily reports.

  5. Checking website traffic with Ahrefs

  Ahrefs‘s biggest strength is its organic traffic estimation capabilities. It estimates monthly visits from Google worldwide, Google keywords in the top 100 that a website ranks for, and traffic value via equivalence to PPC.

  

  Ahrefs bases its estimates on ranking data from a database of 12 billion keywords, which is why it is so powerful. It generates a detailed report that includes organic traffic estimates, backlink data, and top-performing keywords.

  However, the numbers produced by Ahrefs are estimates based on the available data and won’t always be 100% accurate. This is particularly true for smaller or newer websites that lack the data volumes needed for accuracy.

  It’s a great SEO marketing tool that’s free to use within certain limits, but there is some value in registering for a paid plan. There are several options, beginning with the $129 per month Lite plan and extending to the Enterprise Plan for $1,499 monthly.

  6. Checking website traffic with Serpstat

  Serpstat is an SEO solution that grew from a simple keyword research tool. It offers more comprehensive features to help businesses understand their website’s performance. It helps improve a site’s visibility through tools for rank tracking, keyword research, traffic checking, backlink analysis, and site auditing.

  

  It provides metrics like estimated monthly visits, traffic sources (organic, paid, and referral), and insights into top-performing pages. Serpstat also offers competitor analysis features that help to identify market trends and refine growth strategies. However, like Ahrefs, the numbers provided are estimates, which are only as good as the depth of data from which they are derived.

  The free version is fine for basic analysis, but signing up for one of the paid plans is advisable for commercial use. Pricing ranges from $59 per month to a monthly fee of $479 for the Agency plan. There is an option to pay annually at a discount.

  7. Checking website traffic with SEO PowerSuite

  SEO PowerSuite also goes some distance beyond just website traffic checking. As the name implies, it’s a suite of tools to improve website rankings.

  

  There are four tools in the suite :

  • Rank Tracker enables tracking a website’s search engine rankings across multiple keywords and search engines.
  • WebSite Auditor offers SEO analysis of website pages and recommends actions to boost performance.
  • SEO SpyGlass analyses a website’s backlink profile to highlight link-building possibilities that’d help improve performance.
  • LinkAssistant helps identify websites suitable for link-building and recommends viable outreach opportunities.

  SEO PowerSuite has a free plan and two premium plans with varying functionality. The monthly cost could be as much as $139.67, depending on the features needed. Annual pricing options are also available.

  8. Checking website traffic with Ubersuggest

  Ubersuggest is also an SEO-focused tool. It offers website traffic analysis, keyword rankings, backlink profiles, and competitor insights. These are packaged in reports that provide an overview of website traffic, including monthly organic traffic totals and the number of organic keywords the site ranks for. Ubersuggest also offers content suggestions.

  

  Like other tools in this category, Ubersuggest doesn’t collect comprehensive data, so its numbers are estimates. This means the accuracy can vary. However, it remains a solid choice for providing great insights and enhancing a website’s online presence.

  Like many tools in this category, there is a free version to give potential customers a taste, which is restricted by volume more than features. The paid plans range from around $29 per month for one website on the individual plan to about $99 per month for 8-15 websites on the Enterprise plan. Discounted annual pricing is also an option.

  9. Checking website traffic with MonsterInsights

  MonsterInsights is a tool worth considering for websites built on WordPress because it’s not a website checking tool in the usual sense. It’s a WordPress plugin that simplifies the task by integrating Google Analytics directly into a website.

  MonsterInsights then uses the raw data provided by GA4 to extract actionable insights based on audience preferences and activity. This makes it easier to focus on the relevant metrics for different types of websites. For example, the metrics used to measure a blog site would not be the same as those for an ecommerce site.

  But there are some downsides, too. While the basic version is free, it has limited features, and the most potent functionality requires a premium subscription. Those start at $249 per year for a single site, or the Pro plan at $499 for up to five sites. Agencies looking to work with up to 25 sites are in for $999.

  

  There’s another option

  Although many of these tools have free versions, those tend to be heavily restricted, and premium plans can be expensive. A website has to generate serious revenue to deliver a decent return on investment (ROI) to justify the costs.

  As more countries adopt GDPR-like privacy regulations, brands must ensure they’re using compliant, privacy-centric analytics tools.

  Matomo Analytics is one such tool. It’s an ethical, open-source solution that helps you collect accurate data about your website’s traffic and make more informed decisions. This enhances the customer experience and ensures GDPR compliance and user privacy.

  It’s completely free to install as an on-premise solution. Alternatively, there’s the subscription-based Matomo Cloud version.

  How to check website traffic on Matomo

  Apart from a better ROI picture, Matomo offers a more reliable assessment of your website’s traffic than Google Analytics 4. It also provides multiple ways to check organic search traffic :

  • Visits log report
  • Real-time visitor map
  • Visits in real-time report

  Let’s look at all of them one by one.

  The visits log report is a unique rundown of your site’s visitors. It offers a much more granular view than other traffic checker tools, which only show the total number of visitors for a given period.

  

  You can access the visits log report by clicking on the reporting menu and then clicking Visitor and Visits Log. From there, you’ll be able to scroll through every user session and see the following information :

  • The location of the user
  • The total number of actions they took
  • The length of time on site
  • How they arrived at your site
  • The device they used to access your site

  It may be overwhelming if your site receives thousands of visitors at a time. But it’s a great way to understand users at an individual level and appreciate the lifetime activity of specific users.

  The Real-time visitor map shows site visitors’ location for a given timeframe. If you have an international website, it’s a fantastic way to see exactly where your traffic comes from.

  

  You can access the Real-time Visitor Map by clicking Visitor in the main navigation menu and then Real-time Map. The map itself is colour-coded. Larger orange bubbles represent recent visits, and smaller dark orange and grey bubbles represent older visits. The map will refresh every five seconds, and new users appear with a flashing effect.

  If you run TV or radio adverts, Matomo’s Real-time Map provides an immediate read on the effectiveness of your campaign. If your map lights up in the minutes following your ad, you know it’s been effective. It can also help you identify the source of bot attacks, too.

  Finally, the Visits in Real-time report provides a snapshot of who is browsing your website. You can access this report under Visitors > Real-time and add it to your custom dashboards as a widget.

  Open the report, and you’ll see the real-time flow of your site’s users and counters for visits and pageviews over the last 30 minutes and 24 hours. The report refreshes every five seconds with new users added to the top of the report with a fade-in effect.

  

  The report provides a snapshot of each visitor, including :

  • Whether they are new or returning
  • Their country
  • Their browser
  • Their operating system
  • The number of actions they took
  • The time they spent on the site
  • The channel they came in from
  • Whether the visitor converted a goal

  Why do my traffic reports differ ?

  If you use more than one of the methods above to check your website traffic, you’ll quickly realise that every traffic report differs. In some cases, the reasons are obvious. Any tool that estimates your traffic without adding code to your website is just that : an estimate. Tools like many of those mentioned here will never offer the accuracy of analytics platforms like Matomo and Google Analytics.

  But what about the differences between these analytics platforms themselves ? While each platform records user behaviour differently, significant differences in website traffic reports between analytics platforms are usually due to how each platform handles user privacy.

  A platform like Google Analytics requires users to accept a cookie consent banner to track them. If they accept, great. Google collects all of the data that any other analytics platform does. It may even collect more. However, if users reject cookie consent banners, Google Analytics can’t track them. They simply won’t show up in your traffic reports.

  That doesn’t happen with all analytics platforms, however. A privacy-focused alternative like Matomo doesn’t require cookie consent banners (apart from in the United Kingdom and Germany). Therefore, it can continue to track visitors even after they have rejected a cookie consent screen from Google Analytics. This means virtually all website traffic will be tracked regardless of whether users accept a cookie consent banner. And it’s why traffic reports in Matomo are often much higher than in Google Analytics.

  

  Around half (47.32%) of adults in the European Union refuse to allow personal data tracking for advertising purposes, and 95% of people will reject additional cookies when it is easy to do so. So relying on cookies limits your results — and causes you to miss out on valuable user data.

  If you’re serious about using web analytics to improve your website and optimise your marketing campaigns, then it is essential to use another analytics platform alongside Google Analytics.

  What to do if website traffic levels drop

  Experiencing a drop in website traffic can be frustrating, but it happens to everyone at some point. Here’s how to address it :

  • Analyse traffic sources : Use analytics tools to pinpoint where the decline is coming from—organic search, referrals, or social media.
  • Check for technical issues : Look for broken links or slow loading times, which can deter visitors. Tools like Google Search Console can help identify errors.
  • Review recent changes : Consider any recent updates to the website. If something coincided with the drop, it might be worth reverting.
  • Evaluate content quality : Ensure the content is engaging and relevant. Update or improve underperforming posts.
  • Reassess the marketing strategy : The only constant in marketing is change. It’s wise to periodically revisit the balance between paid ads, social media and other vectors to evaluate their effectiveness and adjust the approach.

  It’s perfectly normal for website traffic volumes to fluctuate. Expect it and work with the available tools. Persistence will likely see the traffic volumes rebound.

  Get more accurate traffic reports with Matomo

  There are several methods to check website traffic. Some can provide estimates on your competitors’ traffic levels. Others, like Google Analytics, are free. But data doesn’t lie. Only privacy-focused analytics solutions like Matomo can provide accurate reports that account for every visitor.

  Join over one million organisations using Matomo to check their website traffic accurately and ethically.

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