Sur d’autres sites (5713)

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

  7 juin 2019, par Matomo Core Team — Analytics 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 :

  

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

  

  “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 :

  Click Me !

  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”

  

  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) :

  

  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” :

  

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

  

  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 :

  

  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 :

  

  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 :

  

  

  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 :

  

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

  

  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 :

  

  2. The events report :

  

  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

• Introducing the BigQuery & Data Warehouse Export feature

  30 janvier, par Matomo Core Team

  Matomo is built on a simple truth : your data belongs to you, and you should have complete control over it. That’s why we’re excited to launch our new BigQuery & Data Warehouse Export feature for Matomo Cloud, giving you even more ways to work with your analytics data. 

  Until now, getting raw data from Matomo Cloud required APIs and custom scripts, or waiting for engineering help.  

  Our new BigQuery & Data Warehouse Export feature removes those barriers. You can now access your raw, unaggregated data and schedule regular exports straight to your data warehouse. 

  The feature works with all major data warehouses including (but not limited to) : 

  • Google BigQuery 
  • Amazon Redshift 
  • Snowflake 
  • Azure Synapse Analytics 
  • Apache Hive 
  • Teradata 

  You can schedule exports, combine your Matomo data with other data sources in your data warehouse, and easily query data with SQL-like queries. 

  Direct raw data access for greater data portability 

  Waiting for engineering support can delay your work. Managing API connections and writing scripts can be time-consuming. This keeps you from focusing on what you do best—analysing data. 

  

  With the BigQuery & Data Warehouse Export feature, you get direct access to your raw Matomo data without the technical setup. So, you can spend more time analysing data and finding insights that matter. 

  Bringing your data together 

  Answering business questions often requires data from multiple sources. A single customer interaction might span your CRM, web analytics, sales systems, and more. Piecing this data together manually is time-consuming—what starts as a seemingly simple question from stakeholders can turn into hours of work collecting and comparing data across different tools. 

  This feature lets you combine your Matomo data with data from other business systems in your data warehouse. Instead of switching between tools or manually comparing spreadsheets, you can analyse all your data in one place to better understand how customers interact with your business. 

  Easy, custom analysis with SQL-like queries 

  Standard, pre-built reports often don’t address the specific, detailed questions that analysts need to answer.  

  When you use the BigQuery & Data Warehouse Export feature, you can use SQL-like queries in your data warehouse to do detailed, customised analysis. This flexibility allows you to explore your data in depth and uncover specific insights that aren’t possible with pre-built reports. 

  

  Here is an example of how you might use SQL-like query to compare the behaviours of paying vs. non-paying users : 

  				
                                          <xmp>SELECT  
  
  
  
  custom_dimension_value AS user_type, -- Assuming 'user_type' is stored in a custom dimension 
  
  
  
  COUNT(*) AS total_visits,  
  
  
  
  AVG(visit_total_time) AS avg_duration, 
  
  
  
  SUM(conversion.revenue) AS total_spent  
  
  
  
  FROM  
  
  
  
  `your_project.your_dataset.matomo_log_visit` AS visit 
  
  
  
  LEFT JOIN  
  
  
  
  `your_project.your_dataset.matomo_log_conversion` AS conversion  
  
  
  
  ON  
  
  
  
  visit.idvisit = conversion.idvisit  
  
  
  
  GROUP BY  
  
  
  
  custom_dimension_value; </xmp>
  
                                  
  			

  This query helps you compare metrics such as the number of visits, average session duration, and total amount spent between paying and non-paying users. It provides a full view of behavioural differences between these groups. 

  Advanced data manipulation and visualisation 

  When you need to create detailed reports or dive deep into data analysis, working within the constraints of a fixed user interface (UI) can limit your ability to draw insights. 

  Exporting your Matomo data to a data warehouse like BigQuery provides greater flexibility for in-depth manipulation and advanced visualisations, enabling you to uncover deeper insights and tailor your reports more effectively. 

  Getting started 

  To set up data warehouse exports in your Matomo : 

  1. Go to System Admin (cog icon in the top right corner) 
  2. Select ‘Export’ from the left-hand menu 
  3. Choose ‘BigQuery & Data Warehouse’ 

  You’ll find detailed instructions in our data warehouse exports guide.  

  Please note, enabling this feature will cost an additional 10% of your current subscription. You can view the exact cost by following the steps above. 

  New to Matomo ? Start your 21-day free trial now (no credit card required), or request a demo. 

  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

  

• Evolution #3089 : Suppression des rubriques : informer des liens qui empêchent

  11 août 2014, par Fil Up

  un message de neofutur qui dit quelque chose de similaire :

  ```
  09:41 (02:58) < neofutur>
  http://forum.spip.net/fr_256464.html#forum258451
  09:41 (02:58) < neofutur> a priori des tas de gens ont ce probleme
  09:41 (03:00) < neofutur> empecher la suppression de la sous
  rubrique vide parce qu elle a une photo associee en tant que
  logo . . . ca meriterai une explication
  09:41 (05:04) < neofutur> peut etre avoir un bouton "supprimer" qyi
  est inactif ( greyed ) avec un survol qui dit "supprimer d
  abord le logo . . ."
  ```