Understanding Different Attribution Models within GA4

Mark Anthony Tamayao
Mark Anthony Tamayao
December 21, 2023

Businesses often find themselves in a bit of a puzzle when it comes to figuring out where their customers are coming from and which marketing efforts are paying off the most. Imagine having lots of pieces to a jigsaw puzzle but not knowing how they fit together. This uncertainty makes it tough to decide where to focus your energy and budget for marketing.

GA4 offers special tools called attribution models that help businesses see the journey customers take before making a purchase or taking any action on the website. It's like having a detective that follows your customers' online footprints and tells you which steps they took to get to your business.

In this blog post, we're going to unravel the mystery of attribution models in GA4. By the end, you'll have a clearer picture of where to focus your efforts and how to make the most out of your marketing strategy. Let’s get into it!

Breakdown of the Challenges Marketers Are Facing

Before we dig into the details, let's talk about the problems that can happen if we don't understand how attribution works.

  • Difficulty in Accurately Attributing Conversions
  • Oversimplification of the Customer Conversion
  • Inefficient Allocation of Marketing Resources
  • Lack of Comprehensive Insights into Marketing Performance
  • Suboptimal Return on Investment (ROI)

We won't get too detailed because it's pretty straightforward, but if you read and get what's in this blog post, you'll feel sure you know the answers and how to fix these problems.

Before we start, there's one more important thing to mention. Please make sure to take some time to check out the recent changes that happened both in Universal Analytics and in GA4 related to attribution models.

Universal Analytics Legacy vs. New GA4 Attribution Models

Universal Analytics Attribution Models

GA4 Attribution Models

What is Conversion and Why is it Important in Attribution Modeling?

Whenever someone performs an action that's meaningful to your business, you can measure the action as a conversion. When there is no conversion data, the models use other information, like clicks, impressions, and engagement. This information is not as good as conversion data, so the models may not be as accurate. You can check out our blog post on conversions event data in GA4 here

Available Attribution Models in GA4 properties

We’ll get into each of the GA4 attribution models, by using this example scenario.

Behind this, we should also know about the methodology of DDA and how it actually works.

Data-driven attribution (DDA) is a sophisticated attribution model that utilizes machine learning algorithms to analyze and assign credit for conversions across various marketing touchpoints.

Setting Up Attribution Models in GA4

Now that we have knowledge about attribution models, let’s get into how to apply these models in GA4. Here are the steps:

But first remember that you need an Editor role to be able to perform this.

1. To access this setting, go to Admin 

2. Attribution Settings under Data display.

3. Click Attribution settings.

4. Under the Reporting attribution model, select your desired model from the drop-down.

Note: Changing this setting will apply to both historical and future data.

5. Under the conversion window, select the conversion windows for Acquisition conversion events and All other conversion events.

6. Click Save.

Attribution on Different Standard Reports

Now that we've covered the basics of understanding various Attribution models in GA4 and how to set them up in the GA4 user interface, let's talk about the different reports for Attribution models. We're still working on that part, but don't worry – we'll update this blog post once it's ready. Meanwhile, we've gathered this info to keep you in the loop about the different attribution models found in GA4 standard reports. Let's dive into it!

Attribution at the User-Level

To uncover the initial channel that brought users to your website, examine user-scoped dimensions like 'First User Default Channel Group', 'First User Source / Medium', and 'First User Campaign'.

These dimensions essentially reflect First Click attribution, even though Google doesn't explicitly use that term.

Attribution at Session-Level

Session-scoped dimensions like ‘Session Default Channel Group’, ‘Session Source / Medium’, and ‘Session Campaign’ will show you all of the ways people find your website.

These metrics utilize the First Click attribution model to identify the final touchpoint before a conversion, excluding direct traffic.

Attribution at Event-Level

Event-scoped dimensions like ‘Event Name’ will attribute conversion and transactions based on the attribution model that has been configured for the property

Misconceptions Related to Attribution Models

There is a perfect attribution model.

In reality, there is no single attribution model that is perfect for all businesses. The best attribution model for you will depend on your specific business goals and marketing strategy.

Last Click attribution is always the worst.

Last Click attribution is often seen as the least accurate attribution model, but it can be useful for understanding the immediate impact of your marketing efforts and for optimizing your campaign bidding strategies.

Data-driven is always the best model.

While data-driven offers flexibility, it might not be ideal for short conversion paths or highly brand-driven purchases. Last Click might be more suitable in such cases.

Common Issues Related to Attribution Models

Data-Driven Attribution (DDA) requires a lot of data.

DDA is the most accurate attribution model in GA4, but it requires a lot of data to produce accurate results. If your conversion data is limited or unreliable, DDA may not be the best choice for you.

Attribution models are static.

Attribution models are not static; they should be reviewed and updated regularly as your business and marketing strategy evolve.

Attribution models are too complex for businesses to understand.

Attribution models can be complex, but there are a number of resources available to help businesses understand and use them effectively.

When Should I Use What Attribution Model in GA4?

As we’re about to end this blog post we now have the question,” When Should I Use What Attribution Model in GA4”? We've got you covered with a simple guide to help you decide.

Data-Driven Attribution

  • Most accurate attribution model in GA4
  • Good choice for businesses to measure the impact of  marketing campaigns as accurately as possible. 

However

It can be complex to understand and interpret, so it may not be the best choice for businesses that are just starting out with GA4.

Paid and Organic Last Click Attribution

  • Simple and easy-to-use attribution model
  • It is a good choice for businesses that want to get a quick and easy assessment of the relative effectiveness of their paid and organic channels. 

However

It can be inaccurate, as it only considers the last channel that the customer interacted with before converting.

Google Paid Channels Last Click Attribution

  • Is a good choice for businesses that want to measure the direct impact of their paid advertising on conversions. 
  • This model only considers clicks from Google paid channels, so it is a good choice for businesses that are primarily focused on their Google Ads campaigns.

And there you have it! We don't want things to be confusing for you. Keep in mind that this information is based on personal opinions, and ultimately, you get to choose what works best for your business model and strategy.

Frequently Asked Questions

Can attribution models work without conversion data?

Yes, but data will be less precise. When conversion data is unavailable, the models rely on alternative data sources like clicks, impressions, and engagement, leading to inaccurate results. These proxy measures may not accurately reflect conversions.

Which attribution model should I use?

The best attribution model for you will depend on your specific business goals and marketing strategy. If you have a lot of conversion data, you may want to use data-driven attribution. If you are primarily interested in understanding the impact of your last marketing touchpoint, you may want to use last click attribution.

Which attribution model in Google Analytics provides the most accurate representation of marketing channel effectiveness?

Google recommends using the Data-Driven attribution model, which uses machine learning to assign credit to different marketing touchpoints that lead to conversions on your website.

Final Words

To wrap this up -  understanding attribution models in GA4 is like turning on a light in a dark room. It helps you see the paths customers take before they use your website. GA4 acts like a guide, showing you the way, kind of like having a map for a journey.

With this understanding of attribution models, you can decide where to focus your efforts wisely. It's not about guessing anymore; it's about knowing what works best. Think of it as having a compass for your business journey. So, use it smartly, navigate confidently, and make the most out of your online efforts. Happy navigating with your attribution models!

Thank you for reading!

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