Piwik

# open source web analytics

http://piwik.org/

Les articles publiés sur le site

  • What is Google Analytics data sampling and what’s so bad about it ?

    16 août 2019, par Joselyn KhorAnalytics Tips, Development

    What is Google Analytics data sampling, and what’s so bad about it?

    Google (2019) explains what data sampling is:

    “In data analysis, sampling is the practice of analysing a subset of all data in order to uncover the meaningful information in the larger data set.”[1]

    This is basically saying instead of analysing all of the data, there’s a threshold on how much data is analysed and any data after that will be an assumption based on patterns.

    Google’s (2019) data sampling thresholds:

    Ad-hoc queries of your data are subject to the following general thresholds for sampling:
    [Google] Analytics Standard: 500k sessions at the property level for the date range you are using
    [Google] Analytics 360: 100M sessions at the view level for the date range you are using (para. 3) [2]

    This threshold is limiting because your data in GA may become more inaccurate as the traffic to your website increases.

    Say you’re looking through all your traffic data from the last year and find you have 5 million page views. Only 500K of that 5 million is accurate! The data for the remaining 4.5 million (90%) is an assumption based on the 500K sample size.

    This is a key weapon Google uses to sell to large businesses. In order to increase that threshold for more accurate reporting, upgrading to premium Google Analytics 360 for approximately US$150,000 per year seems to be the only choice.

    What’s so bad about data sampling?

    It’s unfair to say sampled data is to be disregarded completely. There is a calculation ensuring it is representative and can allow you to get good enough insights. However, we don’t encourage it as we don’t just want “good enough” data. We want the actual facts.

    In a recent survey sent to Matomo customers, we found a large proportion of users switched from GA to Matomo due to the data sampling issue.

    The two reasons why data sampling isn’t preferable: 

    1. If the selected sample size is too small, you won’t get a good representative of all the data. 
    2. The bigger your website grows, the more inaccurate your reports will become.

    An example of why we don’t fully trust sampled data is, say you have an ecommerce store and see your GA revenue reports aren’t matching the actual sales data, due to data sampling. In GA you may be seeing revenue for the month as $1 million, instead of actual sales of $800K.

    The sampling here has caused an inaccuracy that could have negative financial implications. What you get in the GA report is an estimated dollar figure rather than the actual sales. Making decisions based on inaccurate data can be costly in this case. 

    Another disadvantage to sampled data is that you might be missing out on opportunities you would’ve noticed if you were given a view of the whole. E.g. not being able to see real patterns occurring due to the data already being predicted. 

    By not getting a chance to see things as they are and only being able to jump to the conclusions and assumptions made by GA is risky. The bigger your business grows, the less you can risk making business decisions based on assumptions that could be inaccurate. 

    If you feel you could be missing out on opportunities because your GA data is sampled data, get 100% accurately reported data. 

    The benefits of 100% accurate data

    Matomo doesn’t use data sampling on any of our products or plans. You get to see all of your data and not a sampled data set.

    Data quality is necessary for high impact decision-making. It’s hard to make strategic changes if you don’t have confidence that your data is reliable and accurate.

    Learn about how Matomo is a serious contender to Google Analytics 360. 

    Now you can import your Google Analytics data directly into your Matomo

    If you’re wanting to make the switch to Matomo but worried about losing all your historic Google Analytics data, you can now import this directly into your Matomo with the Google Analytics Importer tool.


    Take the challenge!

    Compare your Google Analytics data (sampled data) against your Matomo data, or if you don’t have Matomo data yet, sign up to our 30-day free trial and start tracking!

    References:

    [1 & 2] About data sampling. (2019). In Analytics Help About data sampling. Retrieved August 14, 2019, from https://support.google.com/analytics/answer/2637192

  • Your 6-step guide to increasing acquisition

    2 juillet 2019, par Matomo Core TeamAnalytics Tips

    Your 6-step guide to increasing acquisition

    Want to save time and money, as well as increase conversions and acquisition? Matomo Analytics is here to help with that!

    Let’s start by helping you create a website visitors’ acquisition strategy, without it you might be going in blind and missing opportunities that might’ve been easily found in your metrics.

    To help you craft a strategy for your site, check out the steps below!

    Step one: Get familiar with the Acquisition feature

    The easiest way is to start with Matomo’s Acquisition feature itself. Discover and take action on the marketing channels with the biggest ROI for your business. You’ll learn:

    How to get traffic from external websites: Find out who’s helping you succeed from external websites and convince them to do more of it. Get more traffic by proactively asking for: paid sponsorships; guest blog posts; or spending more advertising on the particular website.

    About Social Networks: Which social media channels are connecting with the audience you want? Take the guesswork out by using only the ones you need. By finding out which social channels your ideal audience prefers, you can generate shareable, convincing and engaging content to drive shares and traffic through to your site.

    Campaigns: This helps you understand which marketing campaign is working and which isn’t. You can then shift your efforts to effectively gain more visitors with less costs. Keep track of every ad and content piece you show across internal and external channels to see which has the biggest impact on your business objectives.

    Enhanced SEO: Every acquisition plan needs a focus on maximising your Search Engine Optimization (SEO) efforts. When it comes to getting conclusive search engine referrer metrics, you need to be sure you’re getting ALL the insights to drive your SEO strategy. See keyword position rankings, integrate Google, Bing and Yahoo search consoles, and no longer be restricted with “keyword not defined” showing up in your keywords reports.

    >> Watch Acquisition introduction video (playtime: 2.54 minutes)

    Step two: Set your goals and monitor conversion funnels

    Let the Goals feature guide you

    Goals are essential for building your marketing strategy and getting new customers. The more goals you track, the more you learn about behavioural changes and modify pathways to impact acquisitions over time. 

    Are you checking:

    • Which channels are converting the best for your business?
    • Which cities/countries are most popular?
    • What devices will attract the most visitors?
    • How engaged your visitors are before converting?

    This way you can see if your campaigns (SEO, PPC, signups, blogs etc.) or optimising efforts (A/B Testing, Funnels) have made an impact with the time and investment you’ve put in.

    >> Watch Goals introduction video (playtime: 2.04 minutes)

    The Funnels feature leads you to success

    Conversion funnels give you the big picture on whether your acquisition plans are paying off and where they may be falling short. If the ultimate goal of your site is to drive conversions, then each funnel can tell you how effectively you’re driving traffic through to your desired outcome.

    >> Watch Funnels introduction video (playtime: 2.29 minutes)

    Goals feature web analytics

    Step three: Measure the success of every touchpoint in your customer’s journey

    Multi Attribution feature

    Accurately identify channels where visitors first engage with your business, as well as the final channel they came from, before purchasing your product/service. This helps you make smarter decisions when determining acquisition spend to accurately calculate the Customer Acquisition Cost (CAC). Here you no longer falsely over-estimate investment in failing marketing channels.

    >> Watch Multi Attribution introduction video (playtime: 2.28 minutes)

    Step four: For ecommerce sites, understand who your customers are to increase sales

    Ecommerce feature to significantly increase $ potential

    If your website’s overall purpose is to generate revenue, the Ecommerce feature gives you comprehensive insights into your customer’s purchasing behaviours.

    This heavily reduces your risks when marketing products to potential customers as you’ll understand who to target, what to target them with and where further opportunities exist.

    >> Watch Ecommerce introduction video (playtime: 2.04 minutes)

    e-commerce analytics

    Step five: Make sure the forms on your website are easy to complete

    Form Analytics feature

    Once you get visitors through the funnel, the forms on your website are the final step to conversion and need special attention. If not done right, you could be missing out on converting a large portion of your visitors.

    Thankfully, you can now identify and fix pain points on the forms that are most important to your business’ success.

    >> Watch Form Analytics introduction video (playtime: 2.39 minutes)

    Form analytics feature

    Step six: Discover what a customer journey looks like on a user-by-user basis and bring in key acquisition elements to your strategy

    Visitor Profiles tell you each visitors’ history

    The Profile feature summarises every visit, action and purchase made.

    Better understand:

    • Why your visitors viewed your website.
    • Why your returning visitors continue to view your website.
    • What specifically your visitors are looking for and whether they found it on your website.

    The benefit is being able to see how a combination of acquisition channels play a part in a single buyer’s journey.

    >> Watch Visitors introduction video (playtime: 1.46 minutes)

    To summarise

    This guide will set you on a path to creating a well-planned acquisition strategy. It’s the key to attracting and capturing the attention of potential visitors/leads, and successfully driving them through a funnel/buyer’s journey on your website.

    Because of Matomo’s reputation as a trusted analytics platform, the features above can be used to assist you in making smarter data-driven decisions. You can pursue different acquisition avenues with confidence and create a strategy that’s agile and ready for success, all while respecting user privacy.

  • How to analyse 404 pages

    1er juillet 2019, par Matomo Core TeamDevelopment, Plugins

    How to analyse “not found” pages (404) in digital analytics

    Have you ever sent out a newsletter and one link wasn’t active yet? Would you like to know how many users get affected when this happens? Would you like to know if your visitors are encountering 404 pages? 

    In this article we’re describing an easy way to analyse “not found” pages on your website with Matomo to increase your visitors’ user experience, user acquisition, and SEO (search engine optimization).

    How to know the number of 404s on my website?

    There are different ways to get this information. Depending on how your website is built, you may or may not collect this data.

    The easiest way to answer this question is to fire a 404 page on your website, you do this by accessing a wrong url:

    how to analyse 404 pages

    As you can see here, in our case, the page title starts with “Page non trouvée” which stands for “Page not found” when translated in English (as the website we are considering here is in French):

    404 page analysis

    In this example 19 page views have been fired and it generated a bounce rate of 67%. As a result ⅔ of the visits ended here.

    In some cases, the information related to a “not found” page can be found either within the title or within the URL, as some websites redirect you to a specific web page when a page can’t be found.

    If you can’t identify “not found” pages via a page title or a page URL, we strongly advise you to use this specific tracking code method on your 404 page: “How to track error pages in Matomo?”

    You can easily set it with Matomo Tag Manager with a custom HTML tag:

    Analysing 404 pages

    where the trigger is the following:

    how to analyse 404 page

    You will however, have to define this trigger as an exclusion for all the other tags which may conflict with it (here below is the new trigger defined for the generic Matomo tags we are inserting on all pages):

    404 page how to analyse

    Once this specific tracking is set, you will be able to track the source of the 404 and will gather all the “not found” pages in a specific group within your Page Title report:

    404 url

    Here, for example, you can identify that the homepage of this website had a link pointing to a 404, in our case it was https://www.webassoc.org/pro-du-web.

    Note that this is just one technique. You could also create a custom dimension report and decide to send the 404 there also.

    How to get notified when a 404 page is visited?

    Trust us, you’re not going to check everyday whether a 404 page has been visited. In order to avoid checking it manually, you can define custom alerts.

    There are three possible scenarios when “not found” pages can be fired:

    • internal 404: one link within your website is pointing to a wrong url on the same website.
    • external 404: someone from an external website made a link to yours and the link is not correct.
    • direct access 404: someone access directly to a not found page on your website.

    You can define all those three within Matomo, but in your case, you will only have to focus on the first two only. In fact, you can’t really fix the third scenario. That’s the reason why we’re not focusing on it. It would result in irrelevant alerts.

    Custom alert for internal 404

    An internal 404 is defined from a 404 where the source is an internal web page. As a result, it will look like the following in your report:

    In this example, we’re using this specific custom implementation, the title of the page will contain “From = https://www.webassoc.org/”. So set our custom alert accordingly:

    Help for 404 pages

    Now every time a 404 page will be fired from an internal page, you’ll be notified by email.

    Note that you can also decide to not receive any email and track the evolution of alerts with the History of triggered alerts feature.

    Custom alert for external 404

    External 404 is almost the same setup. The only thing you need to keep in mind is that we want to exclude the 404 where the source is not indicated. As a result, your configuration will look like the following:

    how to analyse 404 page

    Here your regular expression pattern is the following one:

    404/URL = .*From = (?!https://www.webassoc.org)[^\s]+

    as you’ll want to have any referrer coming from a website which is not Matomo and not a direct 404.

     

    You can now be notified every time that a 404 is fired from any link.

    Note that this configuration may slightly differ from website to website. So always double check your tracking code and the way the values are sent to your reports. Also try to trigger those alerts first before validating them.

    How to follow the evolution of your 404 over time?

    It may be interesting to know how good or how bad you are performing in terms of 404.

    In order to check this information, you can click on the evolution icon near the 404 title:

    404 page help

    But you may be interested in accessing this information more regularly without having to create this report each time.

    So, one way to analyse the evolution of your 404 is to create a segment such as:

    and to click after that on evolution icon:

    analyse 404

    As you can see below the number of “not found” pages is quite low in general, but we can also notice that a period received an increase in terms of 404 not found pages on May 27. It may be interesting to investigate it:

    404 analysis

    You can start from the overview of referrers:

    404 page help

    As you can notice here the main source of 404 is coming from direct entries which is the most difficult channel to analyse as we don’t really know where the visitors are coming from.

    How to perform your analysis even faster?

    As you can see analysing reports in Matomo in order to detect 404 pages is a time-consuming activity. In order to make it faster, you can already create a report about it within the Email reports feature with the following settings:

    • Segment: 404
    • Email schedule: never.
    • Visits summary and Page titles as selected report.

    You will then end up with a saved report listing all the URLs concerned:

    404 url help

    You can also have a look at the “Custom reports” premium feature.

    It will provide you with more flexibility. You will then be able to focus on the most important thing: the cause of 404.

    Good luck and happy analytics!

  • Exceeded GA’s 10M hits data limit, now what ?

    21 juin 2019, par Joselyn Khor

    Exceeded GA's 10M hits data limit, now what? Matomo has the answers

    “Your data volume (1XXM hits) exceeds the limit of 10M hits per month as outlined in our Terms of Service. If you continue to exceed the limit, we will stop processing new data on XXX 21, 2019. Learn more about possible solutions.”

    Yikes. Alarm bells were ringing when a Google Analytics free user came to us faced with this notice. Let’s call him ‘Mark’. Mark had reached the limits on the data he could collect through Google Analytics and was shocked by the limited options available to fix the problem, without blowing the budget. The thoughts racing through his head were:

    • “What happens to all my data?”
    • “What if Google starts charging USD150K now?”

    Then he came across Matomo and decided to get in touch with our support team …

    “Can you fix this issue?” he asked us.

    “Absolutely!” we said.

    We’ll get back to helping Mark in a minute. For now let’s go over why this was such a dilemma for him.

    In order to resolve this data limits issue, one of the solutions was for him to upgrade to Google Analytics 360, which meant shelling out USD150,000 per year for their 1 billion hits per month option. Going from free to USD150,000 was too much of a stretch for a growing company.

    “Your data volume (1XXM hits) exceeds the limit of 10M hits per month …”, what did this message mean?

    With the free version, Mark could collect up to 10 million “hits” per month, per account. Going over meant Google Analytics could stop collecting any more data for free as outlined in their Terms.

    Google Analytics’ Terms of Service (2018, sec. 2) states, “Subject to Section 15, the Service is provided without charge to You for up to 10 million Hits per month per account.”[1]

    In general, what's a "hit"?

    Data being sent to Google Analytics. It can be a transaction, event, social interaction or pageview - these all produce what Google calls a “hit”.

    Google Analytics data limits
    Google Analytics Terms of Service

    And their Analytics Help Data Limits (n.d.) support page makes clear that: “If a property sends more hits per month to Analytics than allowed by the Analytics Terms of Service, there is no assurance that the excess hits will be processed. If the property’s hit volume exceeds this limit, a warning may be displayed in the user interface and you may be prevented from accessing reports.”[2]

    Google Analytics data collection limit
    Google Analytics' data limits support page

    Possible solutions

    So the possible solutions given by Google Analytics’ Data Limits support page were (also shown in image below):

    • To pay USD150K to upgrade to Google Analytics 360
    • To send fewer hits by setting up sampling
    • Or choose the slightly less relevant option to upgrade mobile app tracking to Google Analytics for Firebase.

    Without the means to pay, the free version was fast becoming inaccessible for Mark as he was facing a future where he risked no longer having access to up-to-date data used in his business’ reporting.

    Mark was facing a problem that potentially didn’t have a cost-effective solution.

    Google Analytics data limits
    Google Analytics' data limits support page

    So what can you really do about it?

    This is where we can help provide some assistance. If you’re reading this article, we’ll assume you can relate to Mark and share with you the advice on options we gave him.

    Options:

    One option posed by Google is for you to send fewer hits by auditing your data collection processes

    If you really don’t have the budget, you’ll need to reassess your data collection priorities and go over your strategies to see what is necessary to track, and what isn’t.

    • Make sure you know what you’re tracking and why. Look at what websites are being tracked by Google and into what properties.
    • Go through what data you’re tracking and decide what is or isn’t of value.
    • Set up data sampling, this however, will lead to inaccurate data.

    From here you can start to course correct. If you’ve found data you’re not using for analysis, get rid of these events/pageviews in your Google Analytics.

    But the limitations here are that eventually, you’re going to run out of irrelevant metrics and everything you’re tracking will be essential. So you’ll hit another brick wall and return to the same situation.

    Option 2 Ignore and continue using the free version of Google Analytics

    With this option, you’ll have to bear the business risks involved by basing decisions off of analytics reports that may or may not be updated. In this case, you may still get contacted about exceeding the limits. As the free service is provided for only up to 10 million hits, once you’ve gone over them, you’re violating what’s stipulated in the Terms of Service. 

    There’s also the warning that “… you may be prevented from accessing reports” (Data limits, n.d.). So while we may not know for certain what Google Analytics will do, in this case it may be better to be safe rather than sorry by acting quickly to resolve it. 

    Option 3 The Matomo solution. Upgrade to a web analytics platform that can handle your demanding data requirements

    Save money while continuing to gain valuable insights by moving over to Matomo Analytics (recommended)

    This is where you can save up to USD130,000 a year. As well as that, the transition from Google Analytics to the Matomo Cloud is a seamless experience as setup and maintenance is taken care of by our experts.

    For example, you can get up to 15M pageviews for USD1,612.50/month (or USD19,350/year) on the Essentials plan.

    Or even 25M pageviews for USD2400/month (or USD24000/year) on the Business plan – which offers additional web analytics and conversion optimization resources.

    Matomo Cloud is a great option if you’re looking for a secure, cost-effective and powerful analytics solution. You also get what Google Analytics could never offer you: full control and ownership of your own data and privacy. 

    No need to worry about losing your Google Analytics data because …

    Now you can import your historic Google Analytics data directly into your Matomo with the Google Analytics Importer tool. Simply follow the step-by-step guide to get started for free.

    Along with savings you can get:

    • A solution for the data limits issue forever. You choose the right plan to suit your data needs and adapt as you continue growing
    • 100% accurate data (no data sampling)
    • 100% data ownership of all your information without signing away your data to a third party
    • Powerful web analytics and conversion optimization features
    • Matomo Tag Manager
    • Easy setup
    • Support from Matomo’s specialists

    Learn more about Matomo Cloud pricing.

    Or go for Matomo On-Premise

    If you have the in-house infrastructure to support self-hosting Matomo on your own servers then there’s also the option of Matomo On-Premise. Here you’ll get full security knowing the data is on your own servers. 

    Setup will also require technical knowledge. There will also be costs associated with acquiring your own servers, and keeping up with regular maintenance and updates. With On-Premise you get maximum flexibility, with no data limits whatsoever. But if you’re coming over from Google Analytics and don’t have the infrastructure and team to host On-Premise, the Matomo Cloud could be right for you.

    Learn more about Matomo On-Premise.

    Where do you go from here?

    Getting 10 millions hits per month is no small feat, it’s actually pretty fantastic. But if it means having to shell out USD150,000 just to be able to continue with Google Analytics, we feel your problem could be fixed with Matomo Cloud. You could then put the rest of the money you save to better use.

    If you choose Matomo, you now have the option to: 

    • Raise your data limits for a fraction of Google Analytics 360’s price
    • Get a comprehensive range of analytics features for the most impactful insights to ensure your website continues excelling
    • Get data that’s not sampled – meaning 100% accuracy in your reports
    • Migrate your data easily with the help of Matomo’s support team

    We’ll have you covered. 

    By sharing with you the options and advice we gave to Mark, we hope you’ll be able to find a solution that makes your life easier and solves the issue of data restrictions forever.

    The team at Matomo is here to help you every step of the way to ensure a stress-free transition from Google Analytics if that is what works best for you.

    For next steps, why not check out our pricing page to see what could suit your needs!

    References:

    [1] Terms of Service. (2018, July 24). In Google Analytics Terms of Service. Retrieved June 12, 2019, from  https://www.google.com/analytics/terms/us.html

    [2] Data limits. (n.d.). In Analytics Help Data limits. Retrieved June 12, 2019, from https://support.google.com/analytics/answer/1070983?hl=en

  • Easily track Events within Matomo Analytics thanks to Matomo Tag Manager

    7 juin 2019, par Matomo Core TeamAnalytics Tips

    Easily track Events within Matomo Analytics thanks to Matomo Tag Manager

    Introduction

    In this article we’ll cover what events in Matomo Analytics are; and how you can easily set them up thanks to Matomo Tag Manager.

    Key concepts within this article

    • Events
    • Quick definition of the Tag Management System
    • Matomo config
    • Creating triggers
    • Variables

    What are events in Matomo Analytics and why are they useful?

    Events allow you to measure interactions on your website which are not defined by default. With them you can measure clicks on some elements of a page, such as, how visitors are interacting with dropdown menus, media players, scrolling behaviours etc. You can also use them to define goals which make them a key feature in Matomo Analytics. Learn more about tracking events in Matomo.

    You can easily access the Events report in Matomo Analytics by clicking on the Behaviour category:

    Matomo tag manager event tracking

    And you may read the following message and feel a bit frustrated:

    Matomo tag manager event tracking

    “There is no data for this report” is a nice way to say, “Hey, you are tracking just a tiny part of what Matomo Analytics can do for you.”

    Matomo is a great software, but it can’t guess what you want to track.

    In order for Matomo to register those event tracking interactions, you’ll need to explain it by adding a line of code similar to this one when the interaction happens:

     

    _paq.push(['trackEvent', 'Here you enter whatever you want', 'Here too', 'and here also']);

     

    Let’s imagine you want to track a click on an HTML button, your code will look something similar to this at the moment of the interaction:

    As you can imagine, two main challenges will arise for non developers:

    1. How to access the source code?
    2. How to define the interaction?

    Luckily, Matomo Tag Manager makes those steps easy for you. Let’s see how the same tracking is implemented with Matomo Tag Manager.

    A quick definition of what Matomo Tag Manager is

    Matomo Tag Manager lets you manage all your tracking and marketing tags in one easy-to-access place. Please visit this page to learn more about Matomo Tag Manager. In order to start using it, you’ll need to copy/paste a tracking code, named a “container”, within the section of your pages.

    Once the container is on your website, all you need to do is to follow these simple steps:

    1. Add a Matomo Tag.
    2. Assign the condition to fire the tag (what we call the trigger).
    3. Publish your work.
    4. And enjoy

    1 – Add a Matomo Event tracking code

    All you have to do here is click on “CREATE NEW TAG”

    Matomo tag manager event tracking

    Once selected, just mention how you’d like this tag to be named (it is for your internal purpose here so always use an explicit tag name) and the Matomo configuration (the default configuration setting will be fine in most of the cases):

    Matomo tag manager event tracking

    Then Matomo Tag Manager will ask you the type of tracking you’d like to deploy, in this case, this is an event so select “Event”:

    Matomo tag manager event tracking

    Then all you need is to indicate the values you’d like to push through your event:

    Matomo tag manager event tracking

    To put it in perspective, all we did here through Matomo Tag Manager was implement the equivalent of the following line of code:

    _paq.push(['trackEvent', 'Element interactions', 'Click button', 'Click Me']);

    Let’s now see how can we do this on click code part which we call a trigger.

    2 – Assign the condition to fire the tag

    In order to execute the event we’ll need to define when it will happen. You do this by clicking on Create a new trigger now:

    Matomo tag manager event tracking

    As the interaction we’d like to track is happening when a click occurs, it will be a click trigger, and as our button is not a link, we’ll select All Elements Click:

    Matomo tag manager event tracking

    Once selected you’ll need to be precise on the condition in which the event will be triggered. In this case we do not want to have events pushed every time someone is clicking on something on our website. We only want to track when they click on this specific button. That’s the reason why our trigger is set to fire only when the click occurs on an element which has an id and has the value “cta”:

    Once you click on the green button named CREATE NEW TRIGGER, you validate the tag by clicking on CREATE NEW TAG:

    Matomo tag manager event tracking
    Matomo tag manager event tracking

    Then you can move to the last part.

    3 – Publish your work

    Tag Managers are very powerful as they allow you to easily execute any JavaScript code, CSS or even text content on your websites.

    That’s why when you create your tag it doesn’t go live straight away on your website. In order to do this you need to publish your tag and this is what the “Publish” category is designed for:

    Matomo tag manager event tracking

    After that, click on the second button if you’re confident your tag and trigger are both ready to go live:

    Matomo event tracking tag manager

    4 – Enjoy

    Well done. As your tag is now live, every click made on this button will now be pushed to your Matomo Analytics account within:

    1. The visitor log report:

    Matomo event tracking tag manager

    2. The events report:

    Matomo event tracking tag manager

    You may now be asking, “That’s great, but can I collect something more exciting than clicks?” 

    Of course you can! This is what the Matomo Tag Manager is all about.

    As long as you can express it through a trigger you can really push whatever you want to Matomo Analytics. You can track scrolling patterns, an element visible on the page like an image, an ad or the time spent on the page. The options are now open to you with Tag Manager.

    Give them a try! Change the triggers, start playing around with variables and discover that the possibilities are endless.

    Happy analytics,
    Matomo team