
Google Analytics and Google Ads have made several updates to the Google Attribution Model. This policy resulted in the removal of first-click, linear-click, time-decay click, and position-based click models. However, the data-driven Google Attribution Model can be a solution as it represents the user conversion journey more accurately.
Updates to the Google Ads Attribution Model and GA4 can affect business insights and reduce the amount of information that can be processed by the marketing team.
According to the Google Attribution Model product manager, the loss of 97% of the Attribution model google ads activity is the reason why the Google attribution model is being phased out starting in mid-July 2023. However, you can still use it until September 2023.
To find out more about the reasons for the changes that occurred, how the changes took place, and what impact they had on the marketing team, we suggest that you read this article to the end.
Before discussing further the process of changing the Google Attribution Model, you need to know that through Google Ads Attribution, users can control a greater amount of credit they receive each time they interact with ads for user conversions.
The advantages this offers you are:
Google Attribution Model consists of several components, including Last Click, First Click, Linear Click, Time Decay Click, Position-Based Click, and Data-Driven Click. Here's a comprehensive explanation of each:
Google Attribution Model based on rules will be discontinued by Google. However, the four Google Attribution Models in Google Ads and Google Analytics 4 will impact the wealth of information that marketing teams can obtain.
The phasing out of Google Analytics Attribution Model will begin gradually from June 2023. Google has decided to discontinue the four Google Attribution Models due to the loss of over 97% of activities that use these models or the declining usage of Google Attribution Model.
As a replacement for these models, Google Ads will make the data-driven Google Ads Attribution Model the default model for web conversions.
The data-driven Google Ads Attribution Model applies Artificial Intelligence technology on Google to learn the impact of each point on conversions. As a result, the Google Attribution Model will perform better through automated bidding to enhance performance.
You don't need to worry, as Google Attribution Models based on data, last-click, and external attribution will not be affected by these changes in Google Ads or Google Analytics 4.
The difference between the data-driven Google Attribution Model and the last-click model in Google Ads and Google Analytics 4 is that the data-driven Google Attribution Model gives credit for conversions based on how people engage with the ads you create, thereby deciding to become customers.
Meanwhile, the last-click Google Attribution Model gives full credit for the conversion to the last ad that interacted with the customer. This component does not consider other ad interactions that the customer may have experienced.
The process of eliminating the Google Attribution Model will be carried out gradually until it becomes permanent. The stages involved are as follows:
The data-driven Google Attribution Model can represent the customer conversion journey more accurately, but it may also become more complex and require more data to operate effectively.
The last-click Google Attribution Model is easier to understand and use compared to the data-driven Google Analytics Attribution Model. Unfortunately, this model is not as accurate as data-driven attribution in reflecting customer decisions to convert.
The data-driven Google Attribution Model is crucial in making investment decisions for your business. Without relying on data, you risk investing in the wrong places.
This phenomenon poses a problem for users because you may display ads at the wrong points, resulting in lower conversions for advertisers.
Not only is it problematic for users, but Google also considers it an issue as they need to ensure ads are relevant to users' needs. After all, Google gets paid for every click! So, they heavily rely on the continuity of clicks on ads.
Take note, if you are using any of the rule-based models that will be discontinued by Google, you should switch to the data-driven Google Attribution Model promptly. You can do this by following these steps:



Switching to the data-driven Google Attribution Model can provide broader and more accurate insights. You can use the data-driven Google Attribution Model with Google Analytics 4 to obtain a summary of marketing performance across all channels and platforms.
Make sure you have switched to the data-driven Google Attribution Model before the end of July 2023 to adapt early to this update. Achieve business success by exploring deep data insights with cmlabs.
As a dedicated news provider, we are committed to accuracy and reliability. We go the extra mile by attaching credible sources to support the data and information we present.
- Support Google: “About attribution models”, https://support.google.com/google-ads/answer/6259715?hl=en
- Google to sunset 4 attribution models in Ads and Analytics, https://searchengineland.com/google-sunsets-attribution-models-395297
- Updates To Attribution Models in Google Ads & Google Analytics 4, https://searchenginehubbub.com/google/google-attribution-model-updates/
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