GA4 Connector

Integrate GA4 metrics into your favorite data destinations with Windsor.ai in an easy-to-use format

About Google Analytics 4

Google Analytics 4 is next-generation measurement solution, and it has replaced Universal Analytics. Starting on July 1, 2023, standard Universal Analytics properties will stop processing new data. To maintain your website measurement, you’ll need a Google Analytics 4 property.

The new Google Analytics collects event-based data and allows marketers to effectively analyze important customer usage metrics, not just track traffic. While GA4 surfaces cross-platform insights, it also offers a privacy-centric approach.

google analytics Field Reference

How to export GA4 data in 2024?

Do you plan to connect and visualize your GA4 in data visualisation, data storage, data warehouse or BI tool?

Follow the Tutorial Below:

 

Step 1:

You need to select GA4 as a Data Source and grant access to Windsor.ai.

ga4 connector

 

Step 2:

Select the fields on the right to later use in your data source. For example, you can include metrics such as Cost per Click, Cost per Action or Total Spend.

field

 

Step 3:

Select a destination to get GA4 data into

select destination

 

Google Analytics 4 Pros and Cons

GA4 is designed to provide more advanced tracking and analysis capabilities, especially in the evolving landscape of digital marketing and user behavior. It focuses on user-centric data collection and offers a more holistic view of user interactions across different platforms and devices.

GA4 emphasizes event tracking, which allows you to track specific user interactions such as clicks, pageviews, video views, form submissions, and more. Enhanced Measurement is a feature that automatically tracks common events like pageviews and scrolls without the need for additional code implementation.

 

GA4 pros:

  • Improved data privacy: GA4 includes a number of features designed to protect user privacy, such as automatic masking of IP addresses, support for cookie-less tracking, and the ability to disable tracking for specific users.
  • Machine learning capabilities: GA4 includes a range of machine learning tools, such as the Forecast function and anomaly detection, that can help you make predictions about future trends and identify unusual patterns in your data.
  • Enhanced cross-device tracking: GA4 includes improved cross-device tracking capabilities, which allow you to see how users interact with your website and apps across different devices.
  • Enhanced event tracking: GA4 includes a new event model that allows you to track a wider range of events, such as pageviews, clicks, and form submissions, and to set up custom event parameters to track more specific details about user interactions.
  • Improved integration with other Google products: GA4 is closely integrated with other Google products, such as Google Ads and Google Cloud, which can make it easier to use GA4 in conjunction with these products.

 

GA4 cons:

  • Limited backward compatibility: GA4 is a new platform that is not fully backward compatible with UA, which means that some features and functionality that are available in UA may not be available in GA4. For example, GA4 does not support some UA features such as custom variables, and some UA reports and features may not be available in GA4.
  • Lack of support for some third-party tools: Some third-party tools that are compatible with UA may not be compatible with GA4, or may require additional work to integrate with GA4.
  • Complexity: GA4 includes a wide range of features and functionality, which can make it more complex than UA for some users. This may require more time and effort to learn and use GA4 effectively.
  • Limited support for older browsers: GA4 does not support some older browsers, such as Internet Explorer, which can limit the ability of users with these browsers to access GA4.

 

While GA4 provides enhanced insights into user interactions on our website, leveraging GA4 integrations can further maximize the capabilities of this robust analytics platform.

In instances where native GA4 integrations are not accessible or cannot meet specific use cases, utilize Windsor.ai to fill those gaps. Its user-friendly visual editor streamlines the creation of custom GA4 integrations, catering to both non-coders and seasoned developers looking to expedite their integration development process.

 

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Data Destinations for GA4

GA4 metrics and dimensions available

FAQ about GA4 integration via Windsor.ai

 

Why choose Windsor.ai’s Google Analytics 4 connector?

In the last few month there has been a lot of commotion about the Google Analytics quota limits and how to get around them, but before we get to that let’s first learn what are these limitations:

 

  • Maximum number of hits per property per day: GA4 allows a maximum of 10 million hits per property per day. A hit is defined as any request to the GA4 servers, such as a pageview or event. If you exceed this limit, GA4 may discard some of your data to stay within the quota.
  • Maximum number of events per hit: GA4 allows a maximum of 20 custom events per hit. If you exceed this limit, GA4 may discard some of your events to stay within the quota.
  • Maximum size of a hit payload: GA4 allows a maximum hit size of 8 KB. If you exceed this limit, GA4 may discard some of your data to stay within the quota.
  • Maximum number of user properties per property: GA4 allows a maximum of 25 user properties per property. User properties are custom dimensions that you can use to segment your data. If you exceed this limit, you may need to consolidate or remove some of your user properties.

 

With Windsor.ai you will not have to face anything of this limits and issues, because once you connect you Google Analytics 4 Data using Windsor.ai’s tool, your data will be cached and can be retrieved at any time without hitting any quota limits or issues.

 

What data can you extract from GA4?

The Google Analytics 4 API grants access to an extensive array of data concerning website traffic and user interactions. The API encompasses various categories of data, including:

  1. Audience Data: Encompassing details about the demographics, interests, and behavior of website visitors.
  2. Acquisition Data: Providing insights into how visitors discover the website, whether through search engines, social media, or referral links.
  3. Behavior Data: Offering information on how visitors engage with the website, such as the pages they visit, the duration of their stay, and their interactions.
  4. Conversion Data: Providing data on website goals and conversions, such as the number of purchases, form submissions, or other desired actions.
  5. E-commerce Data: Including information about online sales, such as revenue, average order value, and product performance.
  6. Real-time Data: Offering insights into the current activity on the website, including the number of active users and the pages they are currently viewing.

 

In essence, the Google Analytics 4 API is a robust tool that empowers users to glean valuable insights into website performance and user behavior.

 

How long does it take to connect GA4 to the destination?

With Windsor.ai’s user-friendly interface, you can accomplish this task in about 5 minutes. No technical background is necessary, as the process is simple and does not demand coding skills.

 

How much does it cost to link my Google Analytics 4 account to the preferred destination?

Pricing for GA4 can vary depending on your use case and data volume. Windsor.ai offers transparent, volume-based event pricing. Check Windsor.ai’s pricing.

 

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