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• A Guide to Bank Customer Segmentation

  18 juillet 2024, par Erin

  Banking customers are more diverse, complex, and demanding than ever. As a result, banks have to work harder to win their loyalty, with 75% saying they would switch to a bank that better fits their needs.

  The problem is banking customers’ demands are increasingly varied amid economic uncertainties, increased competition, and generational shifts.

  If banks want to retain their customers, they can’t treat them all the same. They need a bank customer segmentation strategy that allows them to reach specific customer groups and cater to their unique demands.

  What is customer segmentation ?

  Customer segmentation divides a customer base into distinct groups based on shared characteristics or behaviours.

  This allows companies to analyse the behaviours and needs of different customer groups. Banks can use these insights to target segments with relevant marketing throughout the customer cycle, e.g., new customers, inactive customers, loyal customers, etc.

  You combine data points from multiple segmentation categories to create a customer segment. The most common customer segmentation categories include :

  • Demographic segmentation
  • Website activity segmentation
  • Geographic segmentation
  • Purchase history segmentation
  • Product-based segmentation
  • Customer lifecycle segmentation
  • Technographic segmentation
  • Channel preference segmentation
  • Value-based segmentation

  

  By combining segmentation categories, you can create detailed customer segments. For example, high-value customers based in a particular market, using a specific product, and approaching the end of the lifecycle. This segment is ideal for customer retention campaigns, localised for their market and personalised to satisfy their needs.

  

  Matomo’s privacy-centric web analytics solution helps you capture data from the first visit. Unlike Google Analytics, Matomo doesn’t use data sampling (more on this later) or AI to fill in data gaps. You get 100% accurate data for reliable insights and customer segmentation.

  Try Matomo for Free

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

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  Why is customer segmentation important for banks ?

  Customer segmentation allows you to address the needs of specific groups instead of treating all of your customers the same. This has never been more important amid a surge in bank switching, with three in four customers ready to switch to a provider that better suits their needs.

  Younger customers are the most likely to switch, with 19% of 18-24 year olds changing their primary bank in the past year (PDF).

  Customer expectations are changing, driven by economic uncertainties, declining trust in traditional banking, and the rise of fintech. Even as economic pressures lift, banks need to catch up with the demands of maturing millennials, Gen Z, and future generations of banking customers.

  Switching is the new normal, especially for tech-savvy customers encouraged by an expanding world of digital banking options.

  To retain customers, banks need to know them better and understand how their needs change over time. Customer retention provides the insights banks need to understand these needs at a granular level and the means to target specific customer groups with relevant messages.

  At its core, customer segmentation is essential to banks for two key reasons :

  • Customer retention : Holding on to customers for longer by satisfying their personal needs.
  • Customer lifetime value : Maximising ongoing customer revenue through retention, purchase frequency, cross-selling, and upselling.

  Here are some actionable bank customer segmentation strategies that can achieve these two objectives :

  Prevent switching with segment analysis

  Use customer segmentation to prevent them from switching to rivals by knowing what they want from you. Analyse customer needs and how they change throughout the lifecycle. Third-party data reveals general trends, but what do your customers want ?

  

  Use first-party customer data and segmentation to go beyond industry trends. Know exactly what your customers want from you and how to deliver targeted messages to each segment — e.g., first-time homebuyers vs. retirement planners.

  Keep customers active with segment targeting

  Target customer segments to keep customers engaged and motivated. Create ultra-relevant marketing messages and deliver them with precision to distinct customer segments. Nurture customer motivation by continuing to address their problems and aspirations.

  Improve the quality of services and products

  Knowing your customers’ needs in greater detail allows you to adapt your products and messages to cater to the most important segments. Customers switch banks because they feel their needs are better met elsewhere. Prevent this by implementing customer segmentation insights into product development and marketing.

  Personalise customer experiences by layering segments

  Layer segments to create ultra-specific target customer groups for personalised services and marketing campaigns. For example, top-spending customers are one of your most important segments, but there’s only so much you can do with this. However, you can divide this group into even narrower target audiences by layering multiple segments.

  For example, segmenting top-spending customers by product type can create more relevant messaging. You can also segment recent activity and pinpoint specific usage segments, such as those with a recent drop in transactions.

  Now, you have a three-layered segment of high-spending customers who use specific products less often and whom you can target with re-engagement campaigns.

  Maximise customer lifetime value

  Bringing all of this together, customer segmentation helps you maximise customer lifetime value in several ways :

  • Prevent switching
  • Enhance engagement and motivation
  • Re-engage customers
  • Cross-selling, upselling
  • Personalised customer loyalty incentives

  The longer you retain customers, the more you can learn about them, and the more effective your lifetime value campaigns will be.

  Balancing bank customer segmentation with privacy and marketing regulations

  Of course, customer segmentation uses a lot of data, which raises important legal and ethical questions. First, you need to comply with data and privacy regulations, such as GDPR and CCPA. Second, you also have to consider the privacy expectations of your customers, who are increasingly aware of privacy issues and rising security threats targeting financial service providers.

  If you aim to retain and maximise customer value, respecting their privacy and protecting their data are non-negotiables.

  Regulators are clamping down on finance

  Regulatory scrutiny towards the finance industry is intensifying, largely driven by the rise of fintech and the growing threat of cyber attacks. Not only was 2023 a record-breaking year for finance security breaches but several compromises of major US providers “exposed shortcomings in the current supervisory framework and have put considerable public pressure on banking authorities to reevaluate their supervisory and examination programs” (Deloitte).

  Banks face some of the strictest consumer protections and marketing regulations, but the digital age creates new threats.

  In 2022, the Consumer Financial Protection Bureau (CFPB) warned that digital marketers must comply with finance consumer protections when targeting audiences. CFPB Director Rohit Chopra said : “When Big Tech firms use sophisticated behavioural targeting techniques to market financial products, they must adhere to federal consumer financial protection laws.”

  This couldn’t be more relevant to customer segmentation and the tools banks use to conduct it.

  Customer data in the hands of agencies and big tech

  Banks should pay attention to the words of CFPB Director Rohit Chopra when partnering with marketing agencies and choosing analytics tools. Digital marketing agencies are rarely experts in financial regulations, and tech giants like Google don’t have the best track record for adhering to them.

  Google is constantly in the EU courts over its data use. In 2022, the EU ruled that the previous version of Google Analytics violated EU privacy regulations. Google Analytics 4 was promptly released but didn’t resolve all the issues.

  Meanwhile, any company that inadvertently misuses Google Analytics is legally responsible for its compliance with data regulations.

  Banks need a privacy-centric alternative to Google Analytics

  Google’s track record with data regulation compliance is a big issue, but it’s not the only one. Google Analytics uses data sampling, which Google defines as the “practice of analysing a subset of data to uncover meaningful information from a larger data set.”

  This means Google Analytics places thresholds on how much of your data it analyses — anything after that is calculated assumptions. We’ve explained why this is such a problem before, and GA4 relies on data sampling even more than the previous version.

  In short, banks should question whether they can trust Google with their customer data and whether they can trust Google Analytics to provide accurate data in the first place. And they do. 80% of financial marketers say they’re concerned about ad tech bias from major providers like Google and Meta.

  

  Matomo is the privacy-centric alternative to Google Analytics, giving you 100% data ownership and compliant web analytics. With no data sampling, Matomo provides 20-40% more data to help you make accurate, informed decisions. Get the data you need for customer segmentation without putting their data at risk.

  Try Matomo for Free

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

  Start for free

  No credit card required

  Bank customer segmentation examples

  Now, let’s look at some customer segments you create and layer to target specific customer groups.

  Visit-based segmentation

  Visit segmentation filters audiences based on the pages they visit on your website and the behaviors they exhibit—for example, first-time visitors vs. returning visitors or landing page visitors vs. blog page visitors.

  If you look at HSBC’s website, you’ll see it is structured into several categories for key customer personas. One of its segments is international customers living in the US, so it has pages and resources expats, people working in the US, people studying in the US, etc. 

  

  By combining visit-based segmentation with ultra-relevant pages for specific target audiences, HSBC can track each group’s demand and interest and analyse their behaviours. It can determine which audiences are returning, which products they want, and which messages convert them.

  Demographic segmentation

  Demographic segmentation divides customers by attributes such as age, gender, and location. However, you can also combine these insights with other non-personal data to better understand specific audiences.

  For example, in Matomo, you can segment audiences based on the language of their browser, the country they’re visiting from, and other characteristics. So, in this case, HSBC could differentiate between visitors already residing in the US and those outside of the country looking for information on moving there.

  

  It could determine which countries they’re visiting, which languages to localise for, and which networks to run ultra-relevant social campaigns on.

  Interaction-based segmentation

  Interaction-based segmentation uses events and goals to segment users based on their actions on your website. For example, you can segment audiences who visit specific URLs, such as a loan application page, or those who don’t complete an action, such as failing to complete a form.

  

  With events and goals set up, you can track the actions visitors complete before making purchases. You can monitor topical interests, page visits, content interactions, and pathways toward conversions, which feed into their customer journey.

  From here, you can segment customers based on their path leading up to their first purchase, follow-up purchases, and other actions.

  Purchase-based segmentation

  Purchase-based segmentation allows you to analyse the customer behaviours related to their purchase history and spending habits. For example, you can track the journey of repeat customers or identify first-time buyers showing interest in other products/services.

  You can implement these insights into your cross-selling and upselling campaigns with relevant messages designed to increase retention and customer lifetime value.

  Get reliable website analytics for your bank customer segmentation needs

  With customers switching in greater numbers, banks need to prioritise customer retention and lifetime value. Customer segmentation allows you to target specific customer groups and address their unique needs — the perfect strategy to stop them from moving to another provider.

  Quality, accurate data is the key ingredient of an effective bank customer segmentation strategy. Don’t accept data sampling from Google Analytics or any other tool that limits the amount of your own data you can access. Choose a web analytics tool like Matamo that unlocks the full potential of your website analytics to get the most out of bank customer segmentation.

  Matomo is trusted by over 1 million websites globally, including many banks, for its accuracy, compliance, and reliability. Discover why financial institutions rely on Matomo to meet their web analytics needs.

  Start collecting the insights you need for granular, layered segmentation — without putting your bank customer data at risk. Request a demo of Matomo now.

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• 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.

  Try Matomo for Free

  Start your 21-day free trial — no credit card required.

• Making Your First-Party Data Work for You and Your Customers

  11 mars, par Alex Carmona

  At last count, 162 countries had enacted data privacy policies of one kind or another. These laws or regulations, without exception, intend to eliminate the use of third-party data. That puts marketing under pressure because third-party data has been the foundation of online marketing efforts since the dawn of the Internet.

  Marketers need to future-proof their operations by switching to first-party data. This will require considerable adjustment to systems and processes, but the reward will be effective marketing campaigns that satisfy privacy compliance requirements and bring the business closer to its customers.

  To do that, you’ll need a coherent first-party data strategy. That’s what this article is all about. We’ll explain the different types of personal data and discuss how to use them in marketing without compromising or breaching data privacy regulations. We’ll also discuss how to build that strategy in your business. 

  So, let’s dive in.

  The different data types

  There are four distinct types of personal data used in marketing, each subject to different data privacy regulations.

  Before getting into the different types, it’s essential to understand that all four may comprise one or more of the following :

  Identifying data	Name, email address, phone number, etc.
  Behavioural data	Website activity, app usage, wishlist content, purchase history, etc.
  Transactional data	Orders, payments, subscription details, etc.
  Account data	Communication preferences, product interests, wish lists, etc.
  Demographic data	Age, gender, income level, education, etc.
  Geographic Data	Location-based information, such as zip codes or regional preferences.
  Psychographic Data	Interests, hobbies and lifestyle preferences.

  First-party data

  When businesses communicate directly with customers, any data they exchange is first-party. It doesn’t matter how the interaction occurs : on the telephone, a website, a chat session, or even in person.

  Of course, the parties involved aren’t necessarily individuals. They may be companies, but people within those businesses will probably share at least some of the data with colleagues. That’s fine, so long as the data : 

  • Remains confidential between the original two parties involved, and 
  • It is handled and stored following applicable data privacy regulations.

  The core characteristic of first-party data is that it’s collected directly from customer interactions. This makes it reliable, accurate and inherently compliant with privacy regulations — assuming the collecting party complies with data privacy laws.

  A great example of first-party data use is in banking. Data collected from customer interactions is used to provide personalised services, detect fraud, assess credit risk and improve customer retention.

  Zero-party data

  There’s also a subset of first-party data, sometimes called zero-party data. It’s what users intentionally and proactively share with a business. It can be preferences, intentions, personal information, survey responses, support tickets, etc.

  What makes it different is that the collection of this data depends heavily on the user’s trust. Transparency is a critical factor, too ; visitors expect to be informed about how you’ll use their data. Consumers also have the right to withdraw permission to use all or some of their information at any time.

  

  Second-party data

  This data is acquired from a separate organisation that collects it firsthand. Second-party data is someone else’s first-party data that’s later shared with or sold to other businesses. The key here is that whoever owns that data must give explicit consent and be informed of who businesses share their data with.

  A good example is the cooperation between hotel chains, car rental companies, and airlines. They share joint customers’ flight data, hotel reservations, and car rental bookings, much like travel agents did before the internet undermined that business model.

  Third-party data

  This type of data is the arch-enemy of lawmakers and regulators trying to protect the personal data of citizens and residents in their country. It’s information collected by entities that have no direct relationship with the individuals whose data it is.

  Third-party data is usually gathered, aggregated, and sold by data brokers or companies, often by using third-party cookies on popular websites. It’s an entire business model — these third-party brokers sell data for marketing, analytics, or research purposes. 

  Most of the time, third-party data subjects are unaware that their data has been gathered and sold. Hence the need for strong data privacy regulations.

  Benefits of a first-party data strategy

  First-party data is reliable, accurate, and ethically sourced. It’s an essential part of any modern digital marketing strategy.

  More personalised experiences

  The most important application of first-party data is customising and personalising customers’ interactions based on real behaviours and preferences. Personalised experiences aren’t restricted to websites and can extend to all customer communication.

  The result is company communications and marketing messages are far more relevant to customers. It allows businesses to engage more meaningfully with them, building trust and strengthening customer relationships. Inevitably, this also results in stronger customer loyalty and better customer retention.

  Greater understanding of customers

  Because first-party data is more accurate and reliable, it can be used to derive valuable insights into customer needs and wants. When all the disparate first-party data points are centralised and organised, it’s possible to uncover trends and patterns in customer behaviour that might not be apparent using other data.

  This helps businesses predict and respond to customer needs. It also allows marketing teams to be more deliberate when segmenting customers and prospects into like-minded groups. The data can also be used to create more precise personas for future campaigns or reveal how likely a customer would be to purchase in response to a campaign.

  Build trust with customers

  First-party data is unique to a business and originates from interactions with customers. It’s also data collected with consent and is “owned” by the company — if you can ever own someone else’s data. If treated like the precious resource, it can help businesses build trust with customers.

  However, developing that trust requires a transparent, step-by-step approach. This gradually strengthens relationships to the point where customers are more comfortable sharing the information they’re asked for.

  However, while building trust is a long and sometimes arduous process, it can be lost in an instant. That’s why first-party data must be protected like the Crown Jewels.

  

  Components of a first-party data strategy

  Security is essential to any first-party data strategy, and for good reason. As Gartner puts it, a business must find the optimal balance between business outcomes and data risk mitigation. Once security is baked in, attention can turn to the different aspects of the strategy.

  Data collection

  There are many ways to collect first-party data ethically, within the law and while complying with data privacy regulations, such as Europe’s General Data Protection Regulation (GDPR). Potential sources include :

  Website activity	forms and surveys, behavioural tracking, cookies, tracking pixels and chatbots
  Mobile app interactions	in-app analytics, push notifications and in-app forms
  Email marketing	newsletter sign-ups, email engagement tracking, promotions, polls and surveys
  Events	registrations, post-event surveys and virtual event analytics
  Social media interaction	polls and surveys, direct messages and social media analytics
  Previous transactions	purchase history, loyalty programmes and e-receipts
  Customer service	call centre data, live chat, chatbots and feedback forms
  In-person interactions	in-store purchases, customer feedback and Wi-Fi sign-ins
  Gated content	whitepapers, ebooks, podcasts, webinars and video downloads
  Interactive content	quizzes, assessments, calculators and free tools
  CRM platforms	customer profiles and sales data
  Consent management	privacy policies, consent forms, preference setting

  Consent management

  It may be the final item on the list above, but it’s also a key requirement of many data privacy laws and regulations. For example, the GDPR is very clear about consent : “Processing personal data is generally prohibited, unless it is expressly allowed by law, or the data subject has consented to the processing.”

  For that reason, your first-party data strategy must incorporate various transparent consent mechanisms, such as cookie banners and opt-in forms. Crucially, you must provide customers with a mechanism to manage their preferences and revoke that consent easily if they wish to.

  Data management

  Effective first-party data management, mainly its security and storage, is critical. Most data privacy regimes restrict the transfer of personal data to other jurisdictions and even prohibit it in some instances. Many even specify where residents’ data must be stored.

  Consider this cautionary tale : The single biggest fine levied for data privacy infringement so far was €1.2 billion. The Irish Data Protection Commission imposed a massive fine on Meta for transferring EU users’ data to the US without adequate data protection mechanisms.

  Data security is critical. If first-party data is compromised, it becomes third-party data, and any customer trust developed with the business will evaporate. To add insult to injury, data regulators could come knocking. That’s why the trend is to use encryption and anonymisation techniques alongside standard access controls.

  Once security is assured, the focus is on data management. Many businesses use a Customer Data Platform. This software gathers, combines and manages data from many sources to create a complete and central customer profile. Modern CRM systems can also do that job. AI tools could help find patterns and study them. But the most important thing is to keep databases clean and well-organised to make it easier to use and avoid data silos.

  Data activation

  Once first-party data has been collected and analysed, it needs to be activated, which means a business needs to use it for the intended purpose. This is the implementation phase where a well-constructed first-party strategy pays off. 

  The activation stage is where businesses use the intelligence they gather to :

  • Personalise website and app experiences
  • Adapt marketing campaigns
  • Improve conversion rates
  • Match stated preferences
  • Cater to observed behaviours
  • Customise recommendations based on purchase history
  • Create segmented email campaigns
  • Improve retargeting efforts
  • Develop more impactful content

  Measurement and optimisation

  Because first-party data is collected directly from customers or prospects, it’s far more relevant, reliable, and specific. Your analytics and campaign tracking will be more accurate. This gives you direct and actionable insights into your audience’s behaviour, empowering you to optimise your strategies and achieve better results.

  The same goes for your collection and activation efforts. An advanced web analytics platform like Matomo lets you identify key user behaviour and optimise your tracking. Heatmaps, marketing attribution tools, user behaviour analytics and custom reports allow you to segment audiences for better traction (and collect even more first-party data).

  

  How to build a first-party data strategy

  There are five important and sequential steps to building a first-party data strategy. But this isn’t a one-time process. It must be revisited regularly as operating and regulatory environments change. There are five steps : 

  1. Audit existing data

  Chances are that customers already freely provide a lot of first-party data in the normal course of business. The first step is to locate this data, and the easiest way to do that is by mapping the customer journey. This identifies all the touchpoints where first-party data might be found.

  2. Define objectives

  Then, it’s time to step back and figure out the goals of the first-party data strategy. Consider what you’re trying to achieve. For example :

  • Reduce churn 
  • Expand an existing loyalty programme
  • Unload excess inventory
  • Improve customer experiences

  Whatever the objectives are, they should be clear and measurable.

  3. Implement tools and technology

  The first two steps point to data gaps. Now, the focus turns to ethical web analytics with a tool like Matomo. 

  To further comply with data privacy regulations, it may also be appropriate to implement a Consent Management Platform (CMP) to help manage preferences and consent choices.

  4. Build trust with transparency

  With the tools in place, it’s time to engage customers. To build trust, keep them informed about how their data is used and remind them of their right to withdraw their consent. 

  Transparency is crucial in such engagement, as outlined in the 7 GDPR principles.

  5. Continuously improve

  Rinse and repeat. The one constant in business and life is change. As things change, they expose weaknesses or flaws in the logic behind systems and processes. That’s why a first-party data strategy needs to be continually reviewed, updated, and revised. It must adapt to changing trends, markets, regulations, etc. 

  Tools that can help

  Looking back at the different types of data, it’s clear that some are harder and more bothersome to get than others. But capturing behaviours and interactions can be easy — especially if you use tools that follow data privacy rules.

  But here’s a tip. Google Analytics 4 isn’t compliant by default, especially not with Europe’s GDPR. It may also struggle to comply with some of the newer data privacy regulations planned by different US states and other countries.

  Matomo Analytics is compliant with the GDPR and many other data privacy regulations worldwide. Because it’s open source, it can be integrated with any consent manager.

  Get started today by trying Matomo for free for 21 days,
  no credit card required.

  Try Matomo for free