Google Tag Manager Google Analytics 4 (GA4) – Custom Purchase Events

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Google Tag Manager (GTM) is a free tool provided by Google that allows website owners to manage various tracking tags, including those for Google Analytics, without requiring any code changes on the website. GTM simplifies the process of adding tracking and marketing tags, allowing marketers to focus on analyzing data instead of managing website code.

Google Analytics 4 (GA4) is the latest version of Google Analytics, which provides an updated approach to data collection, analysis, and reporting. GA4 offers a more flexible and holistic view of user behavior across different devices and channels. GA4 also provides new features such as predictive analytics, real-time data, and more advanced machine learning capabilities.

Custom purchase events in GA4 allow website owners to track specific actions related to purchases on their website. These events can include actions such as adding items to a shopping cart, completing a purchase, or canceling a purchase. By tracking these events, website owners can better understand how users interact with their website and optimize the purchasing process to increase sales and revenue.

Benefits of using Google Tag Manager with Google Analytics 4

Using Google Tag Manager with Google Analytics 4 has several benefits:

Simplified tracking: Google Tag Manager simplifies the process of tracking events on your website. Instead of manually adding tracking code to your website, you can use GTM to manage your tracking tags. This allows you to quickly and easily add, modify, or remove tracking tags without requiring any changes to your website code.

Centralized management: GTM provides a centralized location for managing all your tracking tags. This allows you to manage your tracking tags across multiple websites from a single dashboard. You can also manage user permissions and collaborate with other team members on your tracking projects.

Custom tracking: GTM allows you to create custom tracking tags for tracking specific actions on your website. This includes tracking custom purchase events in Google Analytics 4. By tracking custom purchase events, you can gain deeper insights into how users interact with your website and optimize the purchasing process to increase sales and revenue.

Improved accuracy: Using Google Tag Manager with Google Analytics 4 can help improve the accuracy of your tracking data. By managing your tracking tags in GTM, you can ensure that your tracking code is implemented correctly and consistently across your website. This can help reduce errors and discrepancies in your tracking data.

Real-time data: Google Analytics 4 provides real-time data, which allows you to see how users are interacting with your website in real-time. This can be especially useful for tracking custom purchase events, as you can see how users are interacting with your website during the purchasing process and make adjustments as needed.

Setting up Google Tag Manager with Google Analytics 4

To set up Google Tag Manager with Google Analytics 4, follow these steps:

  1. Create a Google Tag Manager account: If you haven’t already, create a Google Tag Manager account by visiting the Google Tag Manager website (tagmanager.google.com) and following the instructions to create a new account.

2. Create a Google Analytics 4 property: Create a new Google Analytics 4 property by visiting the Google Analytics website (analytics.google.com) and following the instructions to create a new property.

3. Connect Google Tag Manager to Google Analytics 4: In Google Tag Manager, click on the “Admin” tab and select “Google Analytics Settings.” Then, click on “Edit” to edit your Google Analytics settings. From there, you can select your Google Analytics 4 property and save your changes.

4. Create a custom purchase event tag

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Review Google Analytics 4 Set UP

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Google Analytics 4 (GA4) is the latest version of Google’s web analytics platform. It is designed to provide a more comprehensive view of your website’s performance and user behavior than previous versions. GA4 includes new features such as enhanced measurement capabilities, machine learning-powered insights, and cross-device tracking. In this article, we will review how to set up GA4 and get the most out of it.

  1. Create a GA4 property

To get started with GA4, you need to create a new property. This can be done by logging into your Google Analytics account and navigating to the “Admin” section. From there, click on “Create Property” and select “Google Analytics 4”. You will need to enter some basic information about your website, such as the URL and name of your property.

2. Install the GA4 tracking code

Once you have created your GA4 property, you need to install the tracking code on your website. This is the code that collects data about user behavior and sends it back to GA4. To install the tracking code, you can use one of two methods:

  • Use Google Tag Manager: If you are already using Google Tag Manager (GTM) on your website, you can use it to deploy the GA4 tracking code. To do this, create a new “Tag” in GTM and select “Google Analytics: GA4 Configuration” as the tag type. You will need to enter your GA4 property ID, which can be found in the “Admin” section of your GA4 account.
  • Install the tracking code manually: If you are not using GTM, you can install the tracking code manually by adding it to the header section of your website’s HTML code. You can find the tracking code in the “Admin” section of your GA4 account.

3. Set up data streams

Data streams are the source of data for your GA4 property. Each data stream represents a different type of data that you want to collect, such as website data, app data, or offline data. To set up a data stream, you need to follow these steps:

  • Go to the “Data Streams” section of your GA4 account.
  • Click on “Add Stream” and select the type of data you want to collect.
  • Enter some basic information about your data stream, such as the name and URL of your website.
  • Follow the instructions to complete the set-up process.

4. Configure data collection

Once you have set up your data streams, you need to configure data collection for each one. This involves setting up event tracking and defining custom dimensions and metrics.

Event tracking: Events are actions that users take on your website, such as clicking a button or watching a video. By tracking events, you can get more detailed insights into user behavior. To set up event tracking, you need to define the events that you want to track and add the relevant code to your website. You can do this using GTM or by manually adding the code to your website.

Custom dimensions and metrics: Dimensions and metrics are the building blocks of your GA4 reports. Dimensions are attributes of user behavior, such as the device or browser they are using, while metrics are numerical measurements, such as the number of page views or sessions. You can create custom dimensions and metrics to track specific aspects of user behavior that are important to your business. To create custom dimensions and metrics, you need to define the name and scope of each one, and then add the relevant code to your website.

5. Set up conversions

Conversions are the actions that you want users to take on your website, such as making a purchase or filling out a form. By setting up conversion tracking, you can measure the effectiveness of your marketing campaigns and identify areas for improvement.

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GA4 settings Activate Custom Dimensions

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Google Analytics 4 (GA4) is the latest version of Google Analytics that provides a new approach to analytics tracking and measurement. GA4 has introduced many new features and capabilities that enable businesses to better understand their customers and optimize their digital marketing campaigns. One such feature is the ability to create custom dimensions, which can provide deeper insights into user behavior on your website or app. In this article, we will discuss how to activate custom dimensions in GA4 settings.

What are Custom Dimensions in GA4?

Custom dimensions in GA4 are additional data points that you can collect and analyze about your users beyond the default dimensions provided by GA4. These dimensions can be specific to your business and can help you understand user behavior and segmentation more effectively. For example, you can create a custom dimension to track user subscription status, product type, or location.

By default, GA4 provides 25 custom dimensions per property, each with a maximum length of 150 characters. However, you can purchase additional custom dimensions if you require more.

Activating Custom Dimensions in GA4

To activate custom dimensions in GA4, you need to follow the below steps:

Step 1: Log in to GA4

The first step is to log in to your GA4 account. Go to the GA4 homepage and sign in to your account.

Step 2: Go to Admin Settings

Once you have logged in to your GA4 account, navigate to the Admin settings by clicking on the gear icon at the bottom left corner of the page.

Step 3: Select the Property

After clicking on the Admin settings, you will be redirected to a new page. Under the Property column, select the property for which you want to activate custom dimensions.

Step 4: Select Custom Dimensions

Under the Property column, select the Custom Dimensions option. This option will enable you to create and manage custom dimensions.

Step 5: Create a Custom Dimension

After selecting the Custom Dimensions option, click on the Create Custom Dimension button. This button will allow you to create a new custom dimension.

Step 6: Add Name and Description

In the Create Custom Dimension dialog box, add a name and description for the custom dimension. The name and description should be descriptive and easily understandable so that you can identify the custom dimension easily.

Step 7: Set Scope

After adding a name and description, set the scope of the custom dimension. The scope determines the level at which the custom dimension is applied. The scope can be either hit, session, or user.

The hit scope means that the custom dimension will be applied to the current pageview or event hit. The session scope means that the custom dimension will be applied to all the hits that occur within the same session. The user scope means that the custom dimension will be applied to all the hits that occur during the lifetime of the user.

Step 8: Choose Data Type

After setting the scope, choose the data type of the custom dimension. The data type can be either Text, Number, or Boolean.

The Text data type is used for alphanumeric values. The Number data type is used for numeric values. The Boolean data type is used for true or false values.

Step 9: Set Active

After choosing the data type, set the custom dimension to active. The custom dimension will not collect data until it is set to active.

Step 10: Add to Tag Configuration

Once the custom dimension is active, you need to add it to the tag configuration. The tag configuration is a set of instructions that tell GA4 which data to collect and how to collect it.

To add the custom dimension to the tag configuration, navigate to the Tag Configuration option in the Admin settings. Click on the relevant tag and then click on the Edit button. In the Edit tag dialog box, navigate to the More settings

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Content grouping setup for GA4

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Google Analytics 4 (GA4) is the latest version of Google Analytics that offers a more comprehensive and flexible approach to data measurement and analysis. One of the key features of GA4 is content grouping, which allows you to group similar pages on your website into categories and analyze their performance collectively. In this guide, we’ll explain how to set up content grouping in GA4 and provide some best practices for doing so.

What is Content Grouping?

Content grouping is a way to organize the content on your website into meaningful groups or categories. This can help you understand how your audience interacts with your site and identify patterns that can inform your marketing strategy. With content grouping, you can segment your website content into categories such as product pages, blog posts, landing pages, and more.

Why is Content Grouping Important?
Content grouping is important because it can help you answer questions such as:

  • Which types of content on my site are most popular?
  • How do users navigate my site?
  • What content drives the most engagement and conversions?

By grouping similar content together, you can more easily compare and analyze performance metrics, such as pageviews, bounce rate, and conversion rate, for each category. This can provide insights into what types of content are resonating with your audience and what areas of your site may need improvement.

How to Set Up Content Grouping in GA4

To set up content grouping in GA4, you’ll need to follow a few steps:

Step 1: Create a Content Grouping

First, you’ll need to create a content grouping. To do this, navigate to the Admin section of your GA4 property and select Content Grouping under the Data Streams tab.

From there, click the Create Content Grouping button and enter a name for your grouping. You can choose to create a custom grouping or use one of the pre-defined templates provided by Google.

Custom Grouping: If you choose to create a custom grouping, you’ll need to define the rules for how content is grouped together. For example, you might group all pages that contain “blog” in the URL together, or you might group pages based on their content category, such as “product pages” or “support pages”.

Template Grouping: If you choose to use a template grouping, Google provides a set of pre-defined rules that you can use to group content. These templates include options such as “All Pages”, “Ecommerce”, and “News”.

Step 2: Define Content Grouping Rules

Once you’ve created a content grouping, you’ll need to define the rules for how content is grouped together. If you’re using a custom grouping, you’ll need to define the rules manually. If you’re using a template grouping, the rules are pre-defined and you can skip this step.

To define content grouping rules, click the Edit button next to the content grouping you want to modify. From there, you can create new rules or edit existing ones.

To create a new rule, click the Add Rule button and enter the name and definition for the rule. You can define rules based on a variety of criteria, such as URL, page title, screen name, or page path.

For example, if you want to group all product pages together, you might create a rule that looks for pages with “product” in the URL. Or if you want to group all pages related to a specific marketing campaign together, you might create a rule that looks for pages with a specific parameter in the URL.

Step 3: Apply Content Grouping to Your Views

Once you’ve created and defined your content grouping, you’ll need to apply it to your views so you can see the data in your reports. To do this, navigate to the Views section of your GA4 property and select the view you want to apply the content

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Implementing a Google Analytics (GA4) Audit

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Google Analytics 4 (GA4) is a powerful analytics platform that helps businesses understand user behavior and engagement on their website, app or other digital platforms. Implementing a GA4 audit can help businesses ensure that they are tracking the right data and using it to make informed decisions. In this guide, we will explain the steps involved in conducting a GA4 audit.

Identify Business Goals and KPIs

The first step in conducting a GA4 audit is to identify your business goals and key performance indicators (KPIs). This involves understanding what your business is trying to achieve and how you measure success. For example, if your business is an e-commerce store, your goals may include increasing sales, reducing cart abandonment rates, and improving customer retention. Your KPIs may include conversion rates, average order value, and customer lifetime value.

Review Your Current GA4 Setup

The next step is to review your current GA4 setup. This involves checking that your tracking code is correctly installed on your website or app and that your tracking settings are configured correctly. You should also check that your tracking is capturing the data that you need to measure your KPIs. For example, if you are tracking e-commerce sales, you should ensure that your tracking is capturing the correct product and revenue data.

Review Your Data Quality

Once you have reviewed your setup, you should review your data quality. This involves checking that your data is accurate, complete, and consistent. You should check that your data is free from spam and other invalid traffic sources. You should also check that your data is consistent across all of your reporting views.

Identify Tracking Gaps

The next step is to identify any tracking gaps. This involves checking that you are tracking all of the events and interactions that you need to measure your KPIs. For example, if you want to measure engagement on your website, you may need to track clicks on certain buttons or links. You should also check that you are tracking all of the channels that are driving traffic to your website or app. For example, if you are running ads on social media platforms, you should ensure that your tracking is capturing data from these channels.

Review Your Conversion Tracking

Conversion tracking is a critical component of any GA4 audit. This involves checking that you are tracking all of the conversions that are important to your business. For example, if you are an e-commerce store, you should ensure that you are tracking all of your sales and revenue data. You should also check that your conversion tracking is working correctly and that you are not missing any conversions.

Review Your User Behavior Tracking

User behavior tracking is another important component of a GA4 audit. This involves tracking how users interact with your website or app. You should check that you are tracking all of the user behaviors that are important to your business. For example, you may need to track clicks on certain buttons, scroll depth, or video views. You should also check that your user behavior tracking is set up correctly and that you are not missing any data.

Review Your Attribution Modeling

Attribution modeling is the process of determining which channels and touchpoints are driving conversions. This is important because it helps businesses understand where to allocate their marketing budget. You should review your attribution modeling to ensure that it is accurately reflecting the impact of your marketing efforts. You should also check that your attribution modeling is set up correctly and that you are not missing any data.

Review Your Custom Reports and Dashboards

Custom reports and dashboards can help businesses visualize their data and gain insights into their performance. You should review your custom reports and dashboards to ensure that they are accurately reflecting your business goals and KPIs. You should also check that they are set up correctly and that they are providing you

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GA4 conversions and migrate UA to GA4 using Google Tag Manager

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Google Analytics 4 (GA4) is the newest version of Google Analytics that offers advanced tracking and reporting capabilities to measure and analyze user behavior across websites and mobile apps. GA4 introduces a new approach to tracking called “Event-based tracking,” which provides more detailed information about user behavior than Universal Analytics (UA). One of the key differences between GA4 and UA is the way conversions are tracked. In this article, we will explore GA4 conversions and how to migrate from UA to GA4.

What are GA4 Conversions?

In GA4, conversions are tracked using events, which can be used to track any action taken by a user on your website or app. Events are essentially user interactions with your website or app that can be measured and tracked. Examples of events that can be tracked in GA4 include pageviews, clicks, form submissions, video plays, and more. By tracking events, GA4 can provide detailed insights into user behavior and conversion paths.

Unlike UA, GA4 does not use a conversion tracking code or tag to track conversions. Instead, conversions are tracked using events that are triggered when a user takes a specific action on your website or app. These events can be customized to track any action that is relevant to your business goals.

One of the key benefits of using event-based tracking in GA4 is that it provides more flexibility and granularity in tracking conversions. With UA, conversions are typically tracked using specific pages or URLs, which can be limiting. With GA4, you can track any action that is relevant to your business goals, regardless of whether it occurs on a specific page or not.

Migrating from UA to GA4

If you currently use UA to track website or app data, you may be wondering how to migrate to GA4. Migrating from UA to GA4 involves setting up a new GA4 property and updating your tracking code to use the new property. Here are the steps to migrate from UA to GA4:

Step 1: Set up a new GA4 property

The first step in migrating from UA to GA4 is to set up a new GA4 property in your Google Analytics account. To do this, log in to your Google Analytics account and click on the “Admin” button in the bottom left-hand corner. Then, click on “Create Property” and select “GA4.”

Follow the steps to set up your new GA4 property, including selecting the data streams that you want to track (website or app), entering your website or app details, and configuring your data sharing settings.

Step 2: Install the GA4 tracking code

Once you have set up your new GA4 property, you will need to install the GA4 tracking code on your website or app. The GA4 tracking code is different from the UA tracking code, so you will need to update your website or app to use the new code.

To install the GA4 tracking code on your website, you can use Google Tag Manager or add the code directly to your website. To install the GA4 tracking code on your app, you will need to use the Google Analytics SDK for Android or iOS.

Step 3: Configure your conversion events

With GA4, conversions are tracked using events, so you will need to configure your conversion events to track the actions that are relevant to your business goals. To do this, you will need to create custom events in your GA4 property that correspond to your conversion actions.

For example, if your conversion goal is to track form submissions, you can create a custom event called “Form Submission” that is triggered when a user submits a form on your website or app. You can then use this event to track conversions in your GA4 reports.

Step 4: Verify your tracking

Once you have installed the GA4 tracking code and configured your

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Iframe Form Submission Code Tracking with Google Tag Manager

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Iframe Form Submission Code Tracking with Google Tag Manager can be a valuable tool for website owners who want to track user interactions with forms embedded in iframes on their website. In this article, we will explore what iframes are, how they work, and how to use Google Tag Manager to track form submissions from iframes.

What are iframes?

An iframe, or inline frame, is an HTML element that allows you to embed another HTML document within the current page. This is often used to display content from a third-party website or to isolate content from the rest of the page for security reasons. For example, if you wanted to display a map from Google Maps on your website, you could use an iframe to embed the map within your page.

Iframes can be useful for a variety of reasons, but they can also pose some challenges for website owners. One of these challenges is tracking user interactions with forms embedded within iframes. When a user submits a form within an iframe, the form submission is technically happening within a separate HTML document, which can make it difficult to track using traditional tracking methods.

Challenges of tracking form submissions from iframes

As mentioned earlier, tracking user interactions with forms embedded within iframes can be challenging. There are several reasons for this:

Cross-domain security restrictions: When the parent page and the embedded document are hosted on different domains, browser security restrictions prevent the parent page from accessing the content of the iframe. This means that traditional tracking methods, such as using JavaScript to detect form submissions, may not work.

Limited access to iframe content: Even when the parent page and the embedded document are hosted on the same domain, accessing the content of the iframe can be challenging. This is because the content of the iframe is treated as a separate window by the browser, and the parent page cannot directly interact with its elements.

Dynamic iframe content: If the content of the iframe is dynamically generated or loaded asynchronously, tracking form submissions can be even more challenging. This is because the content of the iframe may not be available when the parent page is initially loaded.

How do iframes work?

To understand how iframes work, let’s take a closer look at the HTML code that creates them. Here is an example of an iframe element:

<iframe src="https://www.example.com"></iframe>

In this example, the src attribute specifies the URL of the HTML document that will be embedded within the iframe. When the page containing this iframe is loaded, the browser will fetch the HTML document specified by the src attribute and display it within the iframe.

From the perspective of the parent page (i.e., the page containing the iframe), the embedded document is treated as a separate window. This means that the parent page cannot directly access the content of the iframe or interact with its elements.

How to use Google Tag Manager to track form submissions from iframes

Google Tag Manager (GTM) is a powerful tool that allows you to track user interactions on your website without having to modify your website’s code. To track form submissions from iframes using GTM, you will need to use a combination of custom HTML tags and triggers.

Step 1: Create a custom HTML tag The first step in tracking form submissions from iframes is to create a custom HTML tag that will execute the tracking code. Here is an example of a custom HTML tag that uses jQuery to track form submissions from an iframe:

<script>
$(document).ready(function() {
  $('iframe').on('load', function() {
    $(this).contents().find('form').submit(function() {
      dataLayer.push({
        'event': 'formSubmit'
      });
    });
  });
});
</script>

In this example, we are using jQuery to bind a submit event handler to all forms within iframes on the page. When a form is submitted, the event handler pushes a custom event to the data layer with the name formSubmit.

Step 2: Create a trigger The next step is to create a trigger that will fire the custom HTML tag when a form within an iframe is submitted. Here is an example of a trigger that fires when the custom formSubmit event is pushed to the data layer:

Trigger type: Custom event
Event name: formSubmit

In this example, we are using the Custom event trigger type to fire the tag when the formSubmit event is pushed to the data layer.

Step 3: Create a tag firing rule The final step is to create a tag firing rule that specifies when the tag should be fired. Here is an example of a tag firing rule that fires the custom HTML tag on all pages of the website:

Rule name

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Migrate Google Analytics UA to Google Analytic (GA4) and Set Up Tracking

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Google Analytics is a powerful tool that provides valuable insights into website traffic, user behavior, and conversion rates. However, as technology and user behavior have evolved, Google has introduced a new version of Google Analytics, GA4, which offers a more comprehensive and integrated view of user behavior across platforms and devices.

Why Migrate to GA4?

Google Analytics UA (Universal Analytics) has been the industry standard for tracking website traffic for years. However, UA is based on a cookie-based tracking system that doesn’t provide a complete picture of user behavior, especially as users increasingly switch between devices and platforms. GA4, on the other hand, uses an event-based tracking system that allows you to track user behavior across multiple platforms and devices, giving you a more complete view of the customer journey.

In addition, GA4 comes with several new features that are not available in UA, such as advanced machine learning capabilities, improved data privacy controls, and more flexible tracking options. These features allow you to better understand user behavior and make data-driven decisions to improve your website and marketing efforts.

Migrating from UA to GA4

Migrating from UA to GA4 can seem daunting, but Google has provided several tools to make the process as smooth as possible. Here’s how to do it:

Step 1: Set up a new GA4 property

The first step in migrating to GA4 is to create a new GA4 property. This will allow you to track user behavior in GA4 without affecting your existing UA data.

  1. To create a new GA4 property, follow these steps:
  2. Sign in to your Google Analytics account and select the website you want to migrate.
  3. Click on the “Admin” tab at the bottom left of the screen.
  4. Under the “Property” column, click on “Create Property”.
  5. Select “Web” as the property type and enter the website URL.
  6. Under “Advanced options”, select “Create a Universal Analytics property”.
  7. Click “Next” and follow the prompts to complete the setup process.
  8. Once the property is created, click on the “GA4 Setup Assistant” button to begin the migration process.

Step 2: Link your UA property to your GA4 property

The next step is to link your existing UA property to your new GA4 property. This will allow you to import your existing UA data into GA4 and continue tracking user behavior in UA until the migration is complete.

  1. To link your UA property to your GA4 property, follow these steps:
  2. In the GA4 Setup Assistant, select “Link your Google Analytics properties”.
  3. Select the UA property you want to link to your GA4 property.
  4. Follow the prompts to complete the linking process.
  5. Once the linking is complete, click on the “Set up data streams” button in the GA4 Setup Assistant.

Step 3: Set up data streams

A data stream is a connection between your website and your GA4 property. It allows you to collect data on user behavior and send it to your GA4 property for analysis.

To set up data streams, follow these steps:

  1. In the GA4 Setup Assistant, click on the “Set up data streams” button.
  2. Select “Web” as the data stream type and enter the website URL.
  3. Follow the prompts to complete the setup process.
  4. Once the data stream is set up, click on the “Tagging instructions” button to get instructions on how to add the GA4 tracking code to your website.

Step 4: Add the GA4 tracking code to your website

To track user behavior in GA4

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Fixing Matomo Tag Manager Events Tracking

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Matomo Tag Manager is a powerful tool that helps you track various events and activities on your website. This can include clicks, form submissions, video plays, and other user interactions. However, sometimes the tracking may not work as intended, which can lead to inaccurate data or missing insights.

In this article, we will discuss how to fix Matomo Tag Manager event tracking issues in detail. We will cover the most common issues and provide step-by-step solutions to help you troubleshoot your tracking problems.

Verify the Tag Setup

The first step to fixing Matomo Tag Manager event tracking is to verify that the tag setup is correct. This means that the Matomo Tag Manager container code is installed on your website, and the event tracking tag is properly configured.

To check the tag setup, go to your website and open the developer console in your browser. You can usually do this by pressing F12 or right-clicking on the page and selecting “Inspect” or “Inspect element”.

In the console, switch to the “Network” tab and filter the requests by “matomo.php”. This will show you all the requests that are sent to Matomo Tag Manager. If you see requests with a status of 200, this means that the container code is installed correctly.

Next, look for requests with a parameter of “e_c” (event category), “e_a” (event action), and “e_n” (event name). These parameters indicate that an event tracking tag is firing correctly. If you don’t see any of these parameters, this means that the tag is not firing correctly.

To fix this issue, make sure that the event tracking tag is properly configured. Check the tag setup in Matomo Tag Manager and make sure that the correct event category, action, and name are set. Also, make sure that the trigger for the tag is set up correctly to fire on the event you want to track.

Check for Conflicts

Another common issue with Matomo Tag Manager event tracking is conflicts with other tracking tools or plugins on your website. If you have multiple tracking tools or plugins installed on your website, they may conflict with each other and cause issues with event tracking.

To check for conflicts, disable all other tracking tools or plugins on your website and test the event tracking again. If the tracking works correctly when other tools are disabled, this means that there is a conflict.

To fix this issue, you can try to identify the conflicting tool or plugin and disable it permanently or find a way to resolve the conflict. You can also try to prioritize which tracking tool or plugin is more important to you and disable the others.

Use Custom JavaScript

Sometimes, the default tracking tags in Matomo Tag Manager may not work for certain types of events or interactions on your website. In this case, you can use custom JavaScript to track the events.

To use custom JavaScript for event tracking, create a new custom HTML tag in Matomo Tag Manager and add the JavaScript code to the tag. You can use JavaScript code to track events such as form submissions, button clicks, video plays, and more.

For example, to track a form submission, you can add the following JavaScript code to the custom HTML tag:

document.querySelector('form').addEventListener('submit', function() {
  _paq.push(['trackEvent', 'Form', 'Submit', 'Contact Form']);
});

This code will track the form submission as an event with the category “Form”, action “Submit”, and name “Contact Form”.

Check for Ad Blockers

Another issue that can cause problems with Matomo Tag Manager event tracking is ad blockers. Ad blockers are software programs that block advertisements and sometimes also block tracking scripts and cookies. If a user has an ad blocker installed on their browser, it may block

Warning: If you don’t know about javascript or don’t have developing knowledge then don’t try to Fixing Matomo Tag Manager Events Tracking that can break your site, Cart and other functionality 

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Data discrepancy Google Analytic 4 (GA4) and Google Analytic (UA)

Standard

Google Analytics (GA) is a popular web analytics tool used by businesses and website owners to track and analyze website traffic and user behavior. Over the years, GA has evolved with the changing needs of its users, and currently, there are two versions of GA: Universal Analytics (UA) and Google Analytics 4 (GA4). While both versions of GA serve similar purposes, there are some key differences between the two that result in data discrepancies. In this article, we will explore these differences and explain why they occur.

Data Model

One of the main differences between GA4 and UA is their data model. UA uses a session-based model, where a session is a group of interactions that take place within a given time frame on a website. On the other hand, GA4 uses an event-based model, where an event is any user interaction with a website or app, such as clicking a button, viewing a page, or completing a form.

This difference in data models can result in data discrepancies between the two versions of GA. For example, in UA, a user can generate multiple pageviews within a single session, whereas in GA4, each pageview is considered a separate event. As a result, the number of pageviews recorded in GA4 may be higher than in UA.

Tracking Code

Another difference between GA4 and UA is the tracking code used to collect data. UA uses a JavaScript tracking code that needs to be added to every page of a website. In contrast, GA4 uses a global site tag (gtag.js) that can be added to a website’s header or included in a tag manager.

This difference in tracking code can result in discrepancies between the two versions of GA if the tracking code is not implemented correctly. For example, if the GA4 tracking code is not added to all pages of a website, some data may not be collected, resulting in lower data accuracy.

Cross-Domain Tracking

Cross-domain tracking is the ability to track user behavior across multiple domains or subdomains. In UA, cross-domain tracking is achieved by setting up cross-domain tracking parameters and modifying the tracking code on each domain. In GA4, cross-domain tracking is set up using a single global site tag that is added to all domains.

This difference in cross-domain tracking can result in discrepancies between the two versions of GA if cross-domain tracking is not set up correctly. For example, if cross-domain tracking is not set up correctly in UA, it may result in duplicate data or missing data.

User Identification

User identification is the ability to identify individual users and track their behavior over time. In UA, user identification is achieved using a unique client ID that is generated for each user. In GA4, user identification is achieved using a user ID that is set by the website owner.

This difference in user identification can result in discrepancies between the two versions of GA if user identification is not set up correctly. For example, if a website owner does not set up user ID in GA4, it may result in lower data accuracy compared to UA.

Data Sampling

Data sampling is the process of analyzing a subset of data to estimate insights about the entire data set. In UA, data sampling is used to process large amounts of data and generate reports faster. In GA4, data sampling is used to process large amounts of data and reduce the amount of data stored in the system.

This difference in data sampling can result in discrepancies between the two versions of GA if data is sampled differently in each version. For example, if UA samples data differently than GA4, it may result in different insights and conclusions.

Warning: If you don’t know about javascript or don’t have developing knowledge then don’t try to Data discrepancy Google Analytic 4 (GA4) and Google Analytic (UA) that can break your site, Cart and other functionality 

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