Linear and position-based models

[rochon.a1.119]

If available, use the Data-Driven Attribution model for your Google Ads; it is more fluid and therefore often more accurate.

3.- When deciding on an attribution model, look at the current analytics you have set up. If you have Last Click enabled by default, for example, and you're telling it that only search traffic is converting, even though you're seeing significant clicks from Google ads to those product pages, you're likely to find that the attribution model isn't accurate. To find the best fit, you may need to test different models to see which one helps you make sense of that conflicting data.


Ecommerce growth - Elliot Kemp
The vast majority of Hanapin's clients are using an attribution model outside of last click, and for good reason.

The best option, and what more and more advertisers want, is a jordan phone number list data-driven model. This will split a conversion between the campaigns that played a role in the conversion path. DDA (Data-Driven Attribution) requires at least 600 conversions in a 30-day period to be eligible, which disqualifies most advertisers.

more data-driven than last-click, are easier for smaller advertisers to access, and can provide a good picture across the entire conversion process.

Linear attribution evenly splits the conversion across all clicks in the path, while position-based attribution provides 40% of the conversion to the first and last click, with the remaining 20% ​​distributed across other clicks in the path.

These models are still limited compared to DDA, as DDA creates a custom model specifically for your account that breaks down each conversion. Ultimately, the most important thing when selecting an attribution model for your clients is to choose one that the client fully understands and that gives them a complete and true picture of performance for the types of campaigns they are running.