Post by account_disabled on Dec 20, 2023 5:57:54 GMT
If you've ever manually created Google Analytics audiences in large quantities, you know that this is not a few-minute event. That's why we decided to automate this process. In connection with Medio Interactive under the Taste agency group , the most suitable conditions for the start of this project arose through their GA Booster tool. With its help, you can create an average of 80 audiences with one click, which are automatically transferred to the relevant Google Ads account.
Definition of data C Level Executive List collection First, we had to determine what kind of data we were interested in. There were many ideas, but first and foremost we were concerned with defining audiences that we would be able to use across our entire portfolio of clients. data collection proposal - table First suggestion Definition of naming conventions Once it was clear what data we were generally interested in, we jumped into defining naming conventions. These help us distinguish between manually and automatically created audiences.
Furthermore, variables are dynamically written into the name of the audience, which we select with a few clicks in GA Booster. Subtle conventions Conversions and much more Data check After submitting the request to create a template in GA Booster and having it created by Media, we rushed to check the generated data. The audiences we created didn't always agree to the data collection request, but we fixed those inconsistencies fairly quickly. Subsequently, we only improved the template and expanded the types of audiences.
Definition of data C Level Executive List collection First, we had to determine what kind of data we were interested in. There were many ideas, but first and foremost we were concerned with defining audiences that we would be able to use across our entire portfolio of clients. data collection proposal - table First suggestion Definition of naming conventions Once it was clear what data we were generally interested in, we jumped into defining naming conventions. These help us distinguish between manually and automatically created audiences.
Furthermore, variables are dynamically written into the name of the audience, which we select with a few clicks in GA Booster. Subtle conventions Conversions and much more Data check After submitting the request to create a template in GA Booster and having it created by Media, we rushed to check the generated data. The audiences we created didn't always agree to the data collection request, but we fixed those inconsistencies fairly quickly. Subsequently, we only improved the template and expanded the types of audiences.