Sur d’autres sites (5709)

• Matomo analytics for wordpress

  15 octobre 2019, par Matomo Core Team — Community
  Self-hosting web analytics got a whole lot easier ! Introducing Matomo for WordPress

  Be the first to try it out ! Your feedback is much needed and appreciated

  Get a fully functioning Matomo (which is comparable to Google Analytics) in seconds ! How ? With the new Matomo Analytics for WordPress plugin. 

  Web analytics in WordPress has never been easier to get, or more powerful. Matomo Analytics for WordPress is the one-stop problem solver. It’ll save you time, money and give you the insights to help your website or business succeed. 

  Best of all, we get to further the goal of decentralising the internet. Our hope is for Matomo Analytics for WordPress to spread far and wide. We’re so excited that more and more people can now get their hands on this powerful, free, open-source analytics platform, in a few clicks !

  Download now and check it out !

  Download Matomo for WordPress

  What do you get ?

  • No more signing up to third party analytics service (like Google)
  • No more sending away your valuable data to a third party service (like Google)
  • Easy setup – install with a few clicks, no tracking code installation or developer knowledge needed
  • 100% accurate data – no data sampling and no data limits 
  • Full data ownership – all data is stored on your servers and no one else can see your data
  • Privacy protection / GDPR compliance
  • Ecommerce tracking out-of-the-box (Woocommerce, Easy Digital Downloads, and MemberPress) and we’re keen to add many more over time
  • Powerful features – segmenting, comparing reports, different visualisations, real-time reports, visit logs and visitor profiles, Matomo Tag Manager, dashboards, data export, APIs, and many more
  • Compared to other WordPress solutions we don’t charge you extra for basic features that should work out-of-the-box
  • Just like Matomo On-Premise, Matomo Analytics for WordPress is free

  We need your feedback !

  We all know and love the versatility of WordPress – with over 55,000 plugins and all the different ways of hosting it. However, with this great versatility comes the potential for things to be missed, so we’re keen to hear your feedback.

  • Is our plugin breaking anything on your WordPress, or, not compatible with something ? Please create an issue on our repository.
  • Is something not working ? If so, what ? Please create an issue on our repository.
  • How does running Matomo impact the performance of your WordPress server ? Also, if you have any other feedback for us – whether good or bad – please email us at wordpress@matomo.org. We’d love to hear what you think !
  • Can you perform a security review of the plugin ? Security issues are best reported to security@matomo.org
  • Do you have any questions ? Questions are best asked in our forum

  Thank you ! We really appreciate your help on this ❤️

  How do you get Matomo Analytics for WordPress ?

  Download Matomo for WordPress

  You can then upload it in your WordPress by going to “Plugins => Add New”. During the upload, if you get an error like “Are you sure you want to do this ?”, we recommend you upload the extracted zip file on to your server and into your ‘wp-content/plugins’ folder manually using ftp or ssh. Make sure the plugin name is ‘matomo’.

  All you need is at least WordPress 4.8 and PHP 7.0 or later. MySQL 5.1+ is recommended. 

  The source code is available at : https://github.com/matomo-org/wp-matomo/. 
  

  In perfect harmony : Matomo and WordPress

  

  The idea for this started two years ago when we realised the similarities between the Matomo and WordPress project. 

  Not only from a technological point of view – where both are based on PHP and MySQL and can be extended using plugins – but also from a philosophical, license and values point of view. We both believe in privacy, security, data ownership, openness, transparency, having things working out-of-the-box, simplicity etc. 

  WordPress is currently used on approximately 30% of all websites. Many of them use the self-hosted open-source WordPress version. Giving everyone in this market the opportunity to easily get a powerful web analytics platform for free, means a lot to us. We believe WordPress users get a real choice besides the standard solution of Google Analytics, and it furthers our effort and goal of decentralising the internet. 

  We’re hoping more people will be empowered to protect user privacy, have access to a great free and open-source tool, and keep control of data in their own hands.

  We hope you feel the same. Help us spread the word to your friends and get them in on this awesome new project !

  Share on facebook

  Share on twitter

  Share on linkedin

  FAQs

  Isn’t there already a WP-Matomo plugin for WordPress available ?

  Yes, the existing WP-Matomo (WP-Piwik) plugin is an awesome plugin to connect your existing Matomo On-Premise or Matomo Cloud account with WordPress. The difference is that this new plugin installs Matomo Analytics fully in your WordPress. So you get the convenience of having a powerful analytics platform within your WordPress.

  We highly recommend you install this new plugin if you use WordPress and are not running Matomo yet. 

  If you are already using Matomo on our Cloud or On-Premise, we’d still highly recommend you use WP-Matomo (WP-Piwik). So that you get an easier way of inserting the tracking code into your WordPress site and get insights faster.

  I have a high traffic website, will it be an issue ?

  If you have a lot of traffic, we’d advise you to install Matomo On-Premise separately. There’s no specific traffic threshold we can give you on when it’s better to use Matomo On-Premise. It really depends on your server. 

  We reckon if you have more than 500,000 page views a month, you may want to think about using Matomo On-Premise with WP-Matomo instead, but this is just an estimate. In general, if the load on your server is already quite high, then it might be better to install Matomo on a separate server. See also recommended server sizing for running Matomo.

  How do I report a bug or request a new feature in Matomo for WordPress ?

  Please create an issue, on our repository whenever you find a bug or if you have any suggestion or ideas of improvement. We want to build an outstanding analytics experience for WordPress !

  Have another question you’re dying to ask ? The Matomo for WordPress FAQ page might have the answer you need. 

  Matomo Analytics for WordPress newsletter

  Get ahead of the crowd – signup to our exclusive Matomo for WordPress newsletter to get the latest updates on this exciting new project.

  &lt;script type=&quot;text/javascript&quot;&gt;<br />
(function(global) {<br />
 function serialize(form){if(!form||form.nodeName!==&quot;FORM&quot;){return }var i,j,q=[];for(i=form.elements.length-1;i&gt;=0;i=i-1){if(form.elements[i].name===&quot;&quot;){continue}switch(form.elements[i].nodeName){case&quot;INPUT&quot;:switch(form.elements[i].type){case&quot;text&quot;:case&quot;hidden&quot;:case&quot;password&quot;:case&quot;button&quot;:case&quot;reset&quot;:case&quot;submit&quot;:q.push(form.elements[i].name+&quot;=&quot;+encodeURIComponent(form.elements[i].value));break;case&quot;checkbox&quot;:case&quot;radio&quot;:if(form.elements[i].checked){q.push(form.elements[i].name+&quot;=&quot;+encodeURIComponent(form.elements[i].value))}break;case&quot;file&quot;:break}break;case&quot;TEXTAREA&quot;:q.push(form.elements[i].name+&quot;=&quot;+encodeURIComponent(form.elements[i].value));break;case&quot;SELECT&quot;:switch(form.elements[i].type){case&quot;select-one&quot;:q.push(form.elements[i].name+&quot;=&quot;+encodeURIComponent(form.elements[i].value));break;case&quot;select-multiple&quot;:for(j=form.elements[i].options.length-1;j&gt;=0;j=j-1){if(form.elements[i].options[j].selected){q.push(form.elements[i].name+&quot;=&quot;+encodeURIComponent(form.elements[i].options[j].value))}}break}break;case&quot;BUTTON&quot;:switch(form.elements[i].type){case&quot;reset&quot;:case&quot;submit&quot;:case&quot;button&quot;:q.push(form.elements[i].name+&quot;=&quot;+encodeURIComponent(form.elements[i].value));break}break}}return q.join(&quot;&amp;&quot;)};<br />
<br />
<br />
 function extend(destination, source) {<br />
   for (var prop in source) {<br />
     destination[prop] = source[prop];<br />
   }<br />
 }<br />
<br />
 if (!Mimi) var Mimi = {};<br />
 if (!Mimi.Signups) Mimi.Signups = {};<br />
<br />
 Mimi.Signups.EmbedValidation = function() {<br />
   this.initialize();<br />
<br />
   var _this = this;<br />
   if (document.addEventListener) {<br />
     this.form.addEventListener('submit', function(e){<br />
       _this.onFormSubmit(e);<br />
     });<br />
   } else {<br />
     this.form.attachEvent('onsubmit', function(e){<br />
       _this.onFormSubmit(e);<br />
     });<br />
   }<br />
 };<br />
<br />
 extend(Mimi.Signups.EmbedValidation.prototype, {<br />
   initialize: function() {<br />
     this.form         = document.getElementById('ema_signup_form');<br />
     this.submit       = document.getElementById('webform_submit_button');<br />
     this.callbackName = 'jsonp_callback_' + Math.round(100000 * Math.random());<br />
     this.validEmail   = /.+@.+\..+/<br />
   },<br />
<br />
   onFormSubmit: function(e) {<br />
     e.preventDefault();<br />
<br />
     this.validate();<br />
     if (this.isValid) {<br />
       this.submitForm();<br />
     } else {<br />
       this.revalidateOnChange();<br />
     }<br />
   },<br />
<br />
   validate: function() {<br />
     this.isValid = true;<br />
     this.emailValidation();<br />
     this.fieldAndListValidation();<br />
     this.updateFormAfterValidation();<br />
   },<br />
<br />
   emailValidation: function() {<br />
     var email = document.getElementById('signup_email');<br />
<br />
     if (this.validEmail.test(email.value)) {<br />
       this.removeTextFieldError(email);<br />
     } else {<br />
       this.textFieldError(email);<br />
       this.isValid = false;<br />
     }<br />
   },<br />
<br />
   fieldAndListValidation: function() {<br />
     var fields = this.form.querySelectorAll('.mimi_field.required');<br />
<br />
     for (var i = 0; i &lt; fields.length; ++i) {<br />
       var field = fields[i],<br />
           type  = this.fieldType(field);<br />
       if (type === 'checkboxes' || type === 'radio_buttons' || type === 'age_check') {<br />
         this.checkboxAndRadioValidation(field);<br />
       } else {<br />
         this.textAndDropdownValidation(field, type);<br />
       }<br />
     }<br />
   },<br />
<br />
   fieldType: function(field) {<br />
     var type = field.querySelectorAll('.field_type');<br />
<br />
     if (type.length) {<br />
       return type[0].getAttribute('data-field-type');<br />
     } else if (field.className.indexOf('checkgroup') &gt;= 0) {<br />
       return 'checkboxes';<br />
     } else {<br />
       return 'text_field';<br />
     }<br />
   },<br />
<br />
   checkboxAndRadioValidation: function(field) {<br />
     var inputs   = field.getElementsByTagName('input'),<br />
         selected = false;<br />
<br />
     for (var i = 0; i &lt; inputs.length; ++i) {<br />
       var input = inputs[i];<br />
       if((input.type === 'checkbox' || input.type === 'radio') &amp;&amp; input.checked) {<br />
         selected = true;<br />
       }<br />
     }<br />
<br />
     if (selected) {<br />
       field.className = field.className.replace(/ invalid/g, '');<br />
     } else {<br />
       if (field.className.indexOf('invalid') === -1) {<br />
         field.className += ' invalid';<br />
       }<br />
<br />
       this.isValid = false;<br />
     }<br />
   },<br />
<br />
   textAndDropdownValidation: function(field, type) {<br />
     var inputs = field.getElementsByTagName('input');<br />
<br />
     for (var i = 0; i &lt; inputs.length; ++i) {<br />
       var input = inputs[i];<br />
       if (input.name.indexOf('signup') &gt;= 0) {<br />
         if (type === 'text_field') {<br />
           this.textValidation(input);<br />
         } else {<br />
           this.dropdownValidation(field, input);<br />
         }<br />
       }<br />
     }<br />
     this.htmlEmbedDropdownValidation(field);<br />
   },<br />
<br />
   textValidation: function(input) {<br />
     if (input.id === 'signup_email') return;<br />
<br />
     if (input.value) {<br />
       this.removeTextFieldError(input);<br />
     } else {<br />
       this.textFieldError(input);<br />
       this.isValid = false;<br />
     }<br />
   },<br />
<br />
   dropdownValidation: function(field, input) {<br />
     if (input.value) {<br />
       field.className = field.className.replace(/ invalid/g, '');<br />
     } else {<br />
       if (field.className.indexOf('invalid') === -1) field.className += ' invalid';<br />
       this.onSelectCallback(input);<br />
       this.isValid = false;<br />
     }<br />
   },<br />
<br />
   htmlEmbedDropdownValidation: function(field) {<br />
     var dropdowns = field.querySelectorAll('.mimi_html_dropdown');<br />
     var _this = this;<br />
<br />
     for (var i = 0; i &lt; dropdowns.length; ++i) {<br />
       var dropdown = dropdowns[i];<br />
<br />
       if (dropdown.value) {<br />
         field.className = field.className.replace(/ invalid/g, '');<br />
       } else {<br />
         if (field.className.indexOf('invalid') === -1) field.className += ' invalid';<br />
         this.isValid = false;<br />
         dropdown.onchange = (function(){ _this.validate(); });<br />
       }<br />
     }<br />
   },<br />
<br />
   textFieldError: function(input) {<br />
     input.className   = 'required invalid';<br />
     input.placeholder = input.getAttribute('data-required-field');<br />
   },<br />
<br />
   removeTextFieldError: function(input) {<br />
     input.className   = 'required';<br />
     input.placeholder = '';<br />
   },<br />
<br />
   onSelectCallback: function(input) {<br />
     if (typeof Widget === 'undefined' || !Widget.BasicDropdown) return;<br />
<br />
     var dropdownEl = input.parentNode,<br />
         instances  = Widget.BasicDropdown.instances,<br />
         _this = this;<br />
<br />
     for (var i = 0; i &lt; instances.length; ++i) {<br />
       var instance = instances[i];<br />
       if (instance.wrapperEl === dropdownEl) {<br />
         instance.onSelect = function(){ _this.validate() };<br />
       }<br />
     }<br />
   },<br />
<br />
   updateFormAfterValidation: function() {<br />
     this.form.className   = this.setFormClassName();<br />
     this.submit.value     = this.submitButtonText();<br />
     this.submit.disabled  = !this.isValid;<br />
     this.submit.className = this.isValid ? 'submit' : 'disabled';<br />
   },<br />
<br />
   setFormClassName: function() {<br />
     var name = this.form.className;<br />
<br />
     if (this.isValid) {<br />
       return name.replace(/\s?mimi_invalid/, '');<br />
     } else {<br />
       if (name.indexOf('mimi_invalid') === -1) {<br />
         return name += ' mimi_invalid';<br />
       } else {<br />
         return name;<br />
       }<br />
     }<br />
   },<br />
<br />
   submitButtonText: function() {<br />
     var invalidFields = document.querySelectorAll('.invalid'),<br />
         text;<br />
<br />
     if (this.isValid || !invalidFields) {<br />
       text = this.submit.getAttribute('data-default-text');<br />
     } else {<br />
       if (invalidFields.length || invalidFields[0].className.indexOf('checkgroup') === -1) {<br />
         text = this.submit.getAttribute('data-invalid-text');<br />
       } else {<br />
         text = this.submit.getAttribute('data-choose-list');<br />
       }<br />
     }<br />
     return text;<br />
   },<br />
<br />
   submitForm: function() {<br />
     this.formSubmitting();<br />
<br />
     var _this = this;<br />
     window[this.callbackName] = function(response) {<br />
       delete window[this.callbackName];<br />
       document.body.removeChild(script);<br />
       _this.onSubmitCallback(response);<br />
     };<br />
<br />
     var script = document.createElement('script');<br />
     script.src = this.formUrl('json');<br />
     document.body.appendChild(script);<br />
   },<br />
<br />
   formUrl: function(format) {<br />
     var action  = this.form.action;<br />
     if (format === 'json') action += '.json';<br />
     return action + '?callback=' + this.callbackName + '&amp;' + serialize(this.form);<br />
   },<br />
<br />
   formSubmitting: function() {<br />
     this.form.className  += ' mimi_submitting';<br />
     this.submit.value     = this.submit.getAttribute('data-submitting-text');<br />
     this.submit.disabled  = true;<br />
     this.submit.className = 'disabled';<br />
   },<br />
<br />
   onSubmitCallback: function(response) {<br />
     if (response.success) {<br />
       this.onSubmitSuccess(response.result);<br />
     } else {<br />
       top.location.href = this.formUrl('html');<br />
     }<br />
   },<br />
<br />
   onSubmitSuccess: function(result) {<br />
     if (result.has_redirect) {<br />
       top.location.href = result.redirect;<br />
     } else if(result.single_opt_in || !result.confirmation_html) {<br />
       this.disableForm();<br />
       this.updateSubmitButtonText(this.submit.getAttribute('data-thanks'));<br />
     } else {<br />
       this.showConfirmationText(result.confirmation_html);<br />
     }<br />
   },<br />
<br />
   showConfirmationText: function(html) {<br />
     var fields = this.form.querySelectorAll('.mimi_field');<br />
<br />
     for (var i = 0; i &lt; fields.length; ++i) {<br />
       fields[i].style['display'] = 'none';<br />
     }<br />
<br />
     (this.form.querySelectorAll('fieldset')[0] || this.form).innerHTML = html;<br />
   },<br />
<br />
   disableForm: function() {<br />
     var elements = this.form.elements;<br />
     for (var i = 0; i &lt; elements.length; ++i) {<br />
       elements[i].disabled = true;<br />
     }<br />
   },<br />
<br />
   updateSubmitButtonText: function(text) {<br />
     this.submit.value = text;<br />
   },<br />
<br />
   revalidateOnChange: function() {<br />
     var fields = this.form.querySelectorAll(&quot;.mimi_field.required&quot;),<br />
         _this = this;<br />
<br />
     var onTextFieldChange = function() {<br />
       if (this.getAttribute('name') === 'signup[email]') {<br />
         if (_this.validEmail.test(this.value)) _this.validate();<br />
       } else {<br />
         if (this.value.length === 1) _this.validate();<br />
       }<br />
     }<br />
<br />
     for (var i = 0; i &lt; fields.length; ++i) {<br />
       var inputs = fields[i].getElementsByTagName('input');<br />
       for (var j = 0; j &lt; inputs.length; ++j) {<br />
         if (this.fieldType(fields[i]) === 'text_field') {<br />
           inputs[j].onkeyup = onTextFieldChange;<br />
           inputs[j].onchange = onTextFieldChange; <br />
         } else {<br />
           inputs[j].onchange = function(){ _this.validate() };<br />
         }<br />
       }<br />
     }<br />
   }<br />
 });<br />
<br />
 if (document.addEventListener) {<br />
   document.addEventListener(&quot;DOMContentLoaded&quot;, function() {<br />
     new Mimi.Signups.EmbedValidation();<br />
   });<br />
 }<br />
 else {<br />
   window.attachEvent('onload', function() {<br />
     new Mimi.Signups.EmbedValidation();<br />
   });<br />
 }<br />
})(this);<br />
&lt;/script&gt;

  Download Matomo for WordPress

• 7 Reasons to Migrate from Google Analytics to Matomo Now

  15 mai 2022, par Erin

  The release of Google Analytics 4 (GA4), and the subsequent depreciation of Universal Analytics, has caused a stir amongst webmasters, SEO experts, marketers and the likes.

  Google’s Universal Analytics is the most widely used web analytics platform in the world, but from 1 July 2023, it will no longer process any new data. Google is now pushing users to set up GA4 tracking imminently.

  If you’re like many and wondering if you should upgrade to Google Analytics 4, there are two key reasons why this might be a risk :

  1. GDPR violations : recent rulings have deemed Google Analytics illegal in France and Austria, and it’s likely that this trend will continue across the EU.
  2. Data loss : users switching to Google Analytics 4 can’t migrate their data from Universal Analytics.

  To mitigate these risks, many organisations are looking to switch to a Google Analytics alternative like Matomo. This is an ideal option for organisations that want to take ownership of their data, get compliant with privacy regulations and save themselves the stress of Google deprecating the software they rely on.

  Whilst there are two major reasons to steer clear of Google Analytics 4, there are 7 reasons why migrating to Matomo instead could save your business time, money and peace of mind.

  If you want to avoid the pitfalls of GA4 and are thinking about migrating from Universal Analytics to Matomo, here’s why you should make the switch now.

  1. Keep your historical Universal Analytics data

  Users switching to Google Analytics 4 will be disappointed to find out that GA4 does not accept data imports from Universal Analytics. On top of that, Google also announced that after Universal Analytics stops processing new data (1 July 2023), users will only be able to access this data for “at least six months”. 

  Years of valuable insights will be completely wiped and organisations will not be able to report on year over year results.

  Fortunately, any organisation using Universal Analytics can import this data into Matomo using our Google Analytics Importer plugin. So you can reduce business disruptions and retain years of valuable web analytics data when you switch to Matomo.

  Our comprehensive migration documentation features a handy video, written guides and FAQs to ensure a smooth migration process.

  2. Ease of use

  Web analytics is complicated enough without having to navigate confusing platform user interfaces (UIs). One of GA4’s biggest drawbacks is the “awful and unusable” interface which has received an overwhelming amount of negative backlash online. 

  Matomo’s intuitive UI contains many of the familiar features that made Universal Analytics so well-liked. You’ll find the same popular features like Visitors, Behaviour, and Acquisition to name a few.

  

  User Flow in Matomo

  When you switch to Matomo you can get up to speed quickly and spend more time focusing on high-value tasks, rather than learning about everything new in GA4.

  3. 100% accurate unsampled data

  GA4 implements data sampling and machine learning to fill gaps. Often what you are basing critical business decisions on is actually an estimate of activity. 

  Matomo does not use data sampling, so this guarantees you will always see the full picture.

  “My primary reason to use Matomo is to get the unsampled data, [...] if your website gets lots of traffic and you can’t afford an enterprise level tool like GA premium [GA360] then Matomo is your best choice.”

  With Matomo you can be confident your data-driven decisions are being made with real data.

  4. Privacy by design

  Built-in privacy has always been at the core of Matomo. One key method we use to achieve this, is by giving you 100% data ownership of your web analytics data. You don’t ever have to worry about the data landing in the wrong hands or being used in unethical ways – like unsolicited advertising. 

  On the contrary, Google Analytics is regularly under fire for controversial uses of data. While Google has made changes to make GA4 more privacy-focused, it’s all just smoke and mirrors. The data collected from Google Analytics accounts is used by Google to create digital profiles on internet users, which is then used for advertising. 

  Consumers are becoming increasingly concerned about how businesses are using their data. Businesses that develop privacy strategies, utilise privacy-focused tools will gain a competitive advantage and a loyal customer-base. 

  Prioritise the protection of your user data by switching to a privacy-by-design analytics solution.

  5. Compliance with global privacy laws

  To date, Google Analytics has been deemed illegal to use in France and Austria due to data transfers to the US. Upgrading to GA4 doesn’t make this problem go away either since data is still transferred to the US. 

  Matomo is easily configured to follow even the strictest of privacy laws like GDPR, HIPAA, CCPA, LGPD and PECR. Here’s how :

  • Matomo’s opt-out mechanism lets users opt-out of web analytics tracking
  • You can configure analytics for data retention of raw data and aggregated reports
  • Users can anonymise IP addresses as well as implement other data anonymisation techniques
  • Matomo can respect DoNotTrack setting
  • Users can set up Matomo so it doesn’t process any personal data or PII (personally identifiable information)
  • It’s easy to set shorter expiration dates for tracking cookies
  • Matomo allows you to disable Visits Log and Visitor Profile
  • Users aren’t tracked across websites unless specifically enabled

  Matomo can also be used without cookie consent banners (unlike with Google Analytics, which will always need user consent to track). Matomo has been approved by the French Data Protection Authority (CNIL) as one of the select few web analytics tools that can be used to collect data without tracking consent.

  Every year more countries are drafting legislation that mirrors the European Union’s GDPR (like the Brazilian LGPD). Matomo is designed to stay data-privacy law compliant, and always will be.

  Stay on top of global privacy laws and reduce the time you spend on compliance by switching to a privacy-compliant solution. 

  6. All-in-one web analytics

  Matomo gives you easy access to Heatmaps, Session Recordings, A/B testing, Funnels analytics, and more right out of the box. This means that digital marketing, UX and procurement teams won’t need to set up and manage multiple tools for behavioural analytics – it’s all in one place.

  Learn more about your audience, save money and reduce complexity by switching to an all-in-one analytics solution.

  Check out Matomo’s extensive product features.

  

  Page Scroll Depth in Matomo

  7. Tag Manager built-in

  Unlike GA4, the Matomo Tag Manager comes built-in for an efficient and consistent user experience. Matomo Tag Manager offers a pain-free solution for embedding tracking codes on your website without needing help from a web developer or someone with technical knowledge.

  Help your Marketing team track more website actions and give time back to your web developer by switching to Matomo Tag Manager.

  Final Thoughts

  Google Analytics is free to use, but the surrounding legal issues with the platform and implications of switching to GA4 will make migrating a tough choice for many businesses. 

  Now is the chance for organisations to step away from the advertising tech giant, take ownership of web analytics data and get compliant. Switch to the leading Google Analytics alternative and see why over 1 million websites choose Matomo for their web analytics.

  Ready to get started with your own Google Analytics to Matomo migration ? Try Matomo free for 21 days now – no credit card required. 

  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 hereby accept the terms and conditions and the data processing agreeement (DPA).

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

  » Start improving your websites now

  

• How to Choose the Optimal Multi-Touch Attribution Model for Your Organisation

  13 mars 2023, par Erin — Analytics Tips

  If you struggle to connect the dots on your customer journeys, you are researching the correct solution. 

  Multi-channel attribution models allow you to better understand the users’ paths to conversion and identify key channels and marketing assets that assist them.

  That said, each attribution model has inherent limitations, which make the selection process even harder.

  This guide explains how to choose the optimal multi-touch attribution model. We cover the pros and cons of popular attribution models, main evaluation criteria and how-to instructions for model implementation. 

  Pros and Cons of Different Attribution Models 

  

  First Interaction 

  First Interaction attribution model (also known as first touch) assigns full credit to the conversion to the first channel, which brought in a lead. However, it doesn’t report other interactions the visitor had before converting.

  Marketers, who are primarily focused on demand generation and user acquisition, find the first touch attribution model useful to evaluate and optimise top-of-the-funnel (ToFU). 

  Pros 

  • Reflects the start of the customer journey
  • Shows channels that bring in the best-qualified leads 
  • Helps track brand awareness campaigns

  Cons 

  • Ignores the impact of later interactions at the middle and bottom of the funnel 
  • Doesn’t provide a full picture of users’ decision-making process 

  Last Interaction 

  Last Interaction attribution model (also known as last touch) shifts the entire credit allocation to the last channel before conversion. But it doesn’t account for the contribution of all other channels. 

  If your focus is conversion optimization, the last-touch model helps you determine which channels, assets or campaigns seal the deal for the prospect. 

  Pros 

  • Reports bottom-of-the-funnel events
  • Requires minimal data and configurations 
  • Helps estimate cost-per-lead or cost-per-acquisition

  Cons 

  • No visibility into assisted conversions and prior visitor interactions 
  • Overemphasise the importance of the last channel (which can often be direct traffic) 

  Last Non-Direct Interaction 

  Last Non-Direct attribution excludes direct traffic from the calculation and assigns the full conversion credit to the preceding channel. For example, a paid ad will receive 100% of credit for conversion if a visitor goes directly to your website to buy a product. 

  Last Non-Direct attribution provides greater clarity into the bottom-of-the-funnel (BoFU). events. Yet, it still under-reports the role other channels played in conversion. 

  Pros 

  • Improved channel visibility, compared to Last-Touch 
  • Avoids over-valuing direct visits
  • Reports on lead-generation efforts

  Cons 

  • Doesn’t work for account-based marketing (ABM) 
  • Devalues the quality over quantity of leads 

  Linear Model

  Linear attribution model assigns equal credit for a conversion to all tracked touchpoints, regardless of their impact on the visitor’s decision to convert.

  It helps you understand the full conversion path. But this model doesn’t distinguish between the importance of lead generation activities versus nurturing touches.

  Pros 

  • Focuses on all touch points associated with a conversion 
  • Reflects more steps in the customer journey 
  • Helps analyse longer sales cycles

  Cons 

  • Doesn’t accurately reflect the varying roles of each touchpoint 
  • Can dilute the credit if too many touchpoints are involved 

  Time Decay Model 

  Time decay models assumes that the closer a touchpoint is to the conversion, the greater its influence. Pre-conversion touchpoints get the highest credit, while the first ones are ranked lower (5%-5%-10%-15%-25%-30%).

  This model better reflects real-life customer journeys. However, it devalues the impact of brand awareness and demand-generation campaigns. 

  Pros 

  • Helps track longer sales cycles and reports on each touchpoint involved 
  • Allows customising the half-life of decay to improve reporting 
  • Promotes conversion optimization at BoFu stages

  Cons 

  • Can prompt marketers to curtail ToFU spending, which would translate to fewer qualified leads at lower stages
  • Doesn’t reflect highly-influential events at earlier stages (e.g., a product demo request or free account registration, which didn’t immediately lead to conversion)

  Position-Based Model 

  Position-Based attribution model (also known as the U-shaped model) allocates the biggest credit to the first and the last interaction (40% each). Then distributes the remaining 20% across other touches. 

  For many marketers, that’s the preferred multi-touch attribution model as it allows optimising both ToFU and BoFU channels. 

  Pros 

  • Helps establish the main channels for lead generation and conversion
  • Adds extra layers of visibility, compared to first- and last-touch attribution models 
  • Promotes budget allocation toward the most strategic touchpoints

  Cons 

  • Diminishes the importance of lead nurturing activities as more credit gets assigned to demand-gen and conversion-generation channels
  • Limited flexibility since it always assigns a fixed amount of credit to the first and last touchpoints, and the remaining credit is divided evenly among the other touchpoints

  How to Choose the Right Multi-Touch Attribution Model For Your Business 

  If you’re deciding which attribution model is best for your business, prepare for a heated discussion. Each one has its trade-offs as it emphasises or devalues the role of different channels and marketing activities.

  To reach a consensus, the best strategy is to evaluate each model against three criteria : Your marketing objectives, sales cycle length and data availability. 

  Marketing Objectives 

  Businesses generate revenue in many ways : Through direct sales, subscriptions, referral fees, licensing agreements, one-off or retainer services. Or any combination of these activities. 

  In each case, your marketing strategy will look different. For example, SaaS and direct-to-consumer (DTC) eCommerce brands have to maximise both demand generation and conversion rates. In contrast, a B2B cybersecurity consulting firm is more interested in attracting qualified leads (as opposed to any type of traffic) and progressively nurturing them towards a big-ticket purchase. 

  When selecting a multi-touch attribution model, prioritise your objectives first. Create a simple scoreboard, where your team ranks various channels and campaign types you rely on to close sales. 

  Alternatively, you can survey your customers to learn how they first heard about your company and what eventually triggered their conversion. Having data from both sides can help you cross-validate your assumptions and eliminate some biases. 

  Then consider which model would best reflect the role and importance of different channels in your sales cycle. Speaking of which….

  Sales Cycle Length 

  As shoppers, we spend less time deciding on a new toothpaste brand versus contemplating a new IT system purchase. Factors like industry, business model (B2C, DTC, B2B, B2BC), and deal size determine the average cycle length in your industry. 

  Statistically, low-ticket B2C sales can happen within just several interactions. The average B2B decision-making process can have over 15 steps, spread over several months. 

  That’s why not all multi-touch attribution models work equally well for each business. Time-decay suits better B2B companies, while B2C usually go for position-based or linear attribution. 

  Data Availability 

  Businesses struggle with multi-touch attribution model implementation due to incomplete analytics data. 

  Our web analytics tool captures more data than Google Analytics. That’s because we rely on a privacy-focused tracking mechanism, which allows you to collect analytics without showing a cookie consent banner in markets outside of Germany and the UK. 

  Cookie consent banners are mandatory with Google Analytics. Yet, almost 40% of global consumers reject it. This results in gaps in your analytics and subsequent inconsistencies in multi-touch attribution reports. With Matomo, you can compliantly collect more data for accurate reporting. 

  Some companies also struggle to connect collected insights to individual shoppers. With Matomo, you can cross-attribute users across browning sessions, using our visitors’ tracking feature. 

  When you already know a user’s identifier (e.g., full name or email address), you can track their on-site behaviours over time to better understand how they interact with your content and complete their purchases. Quick disclaimer, though, visitors’ tracking may not be considered compliant with certain data privacy laws. Please consult with a local authority if you have doubts. 

  How to Implement Multi-Touch Attribution

  Multi-touch attribution modelling implementation is like a “seek and find” game. You have to identify all significant touchpoints in your customers’ journeys. And sometimes also brainstorm new ways to uncover the missing parts. Then figure out the best way to track users’ actions at those stages (aka do conversion and events tracking). 

  Here’s a step-by-step walkthrough to help you get started. 

  Select a Multi-Touch Attribution Tool 

  The global marketing attribution software is worth $3.1 billion. Meaning there are plenty of tools, differing in terms of accuracy, sophistication and price.

  To make the right call prioritise five factors :

  • Available models : Look for a solution that offers multiple options and allows you to experiment with different modelling techniques or develop custom models. 
  • Implementation complexity : Some providers offer advanced data modelling tools for creating custom multi-touch attribution models, but offer few out-of-the-box modelling options. 
  • Accuracy : Check if the shortlisted tool collects the type of data you need. Prioritise providers who are less dependent on third-party cookies and allow you to identify repeat users. 
  • Your marketing stack : Some marketing attribution tools come with useful add-ons such as tag manager, heatmaps, form analytics, user session recordings and A/B testing tools. This means you can collect more data for multi-channel modelling with them instead of investing in extra software. 
  • Compliance : Ensure that the selected multi-attribution analytics software wouldn’t put you at risk of GDPR non-compliance when it comes to user privacy and consent to tracking/analysis. 

  Finally, evaluate the adoption costs. Free multi-channel analytics tools come with data quality and consistency trade-offs. Premium attribution tools may have “hidden” licensing costs and bill you for extra data integrations. 

  Look for a tool that offers a good price-to-value ratio (i.e., one that offers extra perks for a transparent price). 

  Set Up Proper Data Collection 

  Multi-touch attribution requires ample user data. To collect the right type of insights you need to set up : 

  • Website analytics : Ensure that you have all tracking codes installed (and working correctly !) to capture pageviews, on-site actions, referral sources and other data points around what users do on page. 
  • Tags : Add tracking parameters to monitor different referral channels (e.g., “facebook”), campaign types (e.g., ”final-sale”), and creative assets (e.g., “banner-1”). Tags help you get a clearer picture of different touchpoints. 
  • Integrations : To better identify on-site users and track their actions, you can also populate your attribution tool with data from your other tools – CRM system, A/B testing app, etc. 

  Finally, think about the ideal lookback window — a bounded time frame you’ll use to calculate conversions. For example, Matomo has a default windows of 7, 30 or 90 days. But you can configure a custom period to better reflect your average sales cycle. For instance, if you’re selling makeup, a shorter window could yield better results. But if you’re selling CRM software for the manufacturing industry, consider extending it.

  Configure Goals and Events 

  Goals indicate your main marketing objectives — more traffic, conversions and sales. In web analytics tools, you can measure these by tracking specific user behaviours. 

  For example : If your goal is lead generation, you can track :

  • Newsletter sign ups 
  • Product demo requests 
  • Gated content downloads 
  • Free trial account registration 
  • Contact form submission 
  • On-site call bookings 

  In each case, you can set up a unique tag to monitor these types of requests. Then analyse conversion rates — the percentage of users who have successfully completed the action. 

  To collect sufficient data for multi-channel attribution modelling, set up Goal Tracking for different types of touchpoints (MoFU & BoFU) and asset types (contact forms, downloadable assets, etc). 

  Your next task is to figure out how users interact with different on-site assets. That’s when Event Tracking comes in handy. 

  Event Tracking reports notify you about specific actions users take on your website. With Matomo Event Tracking, you can monitor where people click on your website, on which pages they click newsletter subscription links, or when they try to interact with static content elements (e.g., a non-clickable banner). 

  Using in-depth user behavioural reports, you can better understand which assets play a key role in the average customer journey. Using this data, you can localise “leaks” in your sales funnel and fix them to increase conversion rates.

  Test and Validated the Selected Model 

  A common challenge of multi-channel attribution modelling is determining the correct correlation and causality between exposure to touchpoints and purchases. 

  For example, a user who bought a discounted product from a Facebook ad would act differently than someone who purchased a full-priced product via a newsletter link. Their rate of pre- and post-sales exposure will also differ a lot — and your attribution model may not always accurately capture that. 

  That’s why you have to continuously test and tweak the selected model type. The best approach for that is lift analysis. 

  Lift analysis means comparing how your key metrics (e.g., revenue or conversion rates) change among users who were exposed to a certain campaign versus a control group. 

  In the case of multi-touch attribution modelling, you have to monitor how your metrics change after you’ve acted on the model recommendations (e.g., invested more in a well-performing referral channel or tried a new brand awareness Twitter ad). Compare the before and after ROI. If you see a positive dynamic, your model works great. 

  The downside of this approach is that you have to invest a lot upfront. But if your goal is to create a trustworthy attribution model, the best way to validate is to act on its suggestions and then test them against past results. 

  Conclusion

  A multi-touch attribution model helps you measure the impact of different channels, campaign types, and marketing assets on metrics that matter — conversion rate, sales volumes and ROI. 

  Using this data, you can invest budgets into the best-performing channels and confidently experiment with new campaign types. 

  As a Matomo user, you also get to do so without breaching customers’ privacy or compromising on analytics accuracy.

  Start using accurate multi-channel attribution in Matomo. Get your free 21-day trial now. No credit card required.