Analytics data-sources differ from typical advertising data-sources: since your Analytics data-sources use a lot of custom setups (dimensions, events…), those have to be manually selected or entered when setting up your Analytics source.
If you plan on using Adloop Tracking & Attribution
Events, goals & metrics from your Analytics data-source are mandatory for a successful Adloop Tracking & Attribution set-up!
Google Analytics 4
In the first step, some dimensions are selected by default:
source
medium
campaign
account name
content
You can choose to select 3 additional other dimensions.
We import default metrics:
sessions
engaged sessions
pageviews
new users
bounces
bounce rate
You have to choose your structuring metrics: revenue & conversions.
Those metrics will be use to calculate KPI like conversion rate, CPA, ROAS etc.
If you plan on using the Adloop Tracking & Attribution data-source, those structuring metrics are the ones we will calculate attribution for.
You can choose in the drop-down menu the conversion event you want to use.
In this example, the revenue will be the Value of the purchase event and the conversions will be the Count of the purchase events. You can also choose different events for your revenue and your conversion if that’s how your set-up is done.
You can select additional conversion metrics to include by ticking the boxes as well as other metrics:
For the events section, you have to indicate your events the way they are set-up in GA4 in the “Name in GA4” filed. Be careful with upper/lower cases as well as with spaces.
The “name in Adloop” can be identical or different.
Example:
By ticking the “condition by event parameter” you can add a custom event by conditioning any GA4 event with one or more parameters (dimensions) of your choice.
The dimensions you use to condition event are counting in the 3 dimensions limit mentioned previously!
Indicate the dimension and the value of that dimension (also case & space sensitive) with which you want to condition that event.
Example:
This event will be the “purchase” for which the “customer_category” is equal to “customer_new”
Example of use-cases this set-up addresses:
Differentiate purchases from new clients vs existing clients
Differentiate categories of products
Differentiate targets / markets
If you plan on using Adloop Tracking & Attribution data-source, be mindful to add in this step:
all additional events you will want to calculate attribution & paths-to-conversion for
all engagement events that we will need to feed the data-driven algorithm
all engagement events that we will need to calculate the useful click