Your client provided the following sources:
Source 1:
Source 2:
Source 3:
As can be seen, the Product values present in sources 2 and 3 are similar and can be linked with the first extraction from 'Media Buy Name' in source1
The end goal is to achieve a final view of Product Group alongside Clicks and Sign Ups, as described below:
Which two options will meet the client's requirement and enable the desired view?
Source 1: Custom Classification key will be populated with the extraction of the Media Buy Name.
Source 2: 'Product' will be mapped to Custom Classification key and 'Product Group' to a Custom Classification level. Exam Timer
Source 3: 'Product will be mapped to Custom Classification key. Came
Source 1: custom classification key will be populated with the extraction of the Media Buy Name.
Source 2: 'Product' will be mapped to Product field and 'Product Group' to Product Name.
Source 3: 'Product' will be mapped to Product field.
All sources will be uploaded to the same data stream type - Ads. The setup is the following:
Source 1: Media Buy Key ---- Media Buy Key, extracted product value --- Media Buy Attribute.
Source 2: Product --- Media Buy Key, Product Group ---- Media Buy Attribute.
Source 3: Product --- Media Buy Key.
Patterns from sources 1 and 3 generate harmonized dimension 'Product'. Data Classification rule, using source 2, is applied on top of the harmonized dimension
A client provides the following three files:
File A:
File B:
File C:
File A was uploaded using the Ads data stream type.
The client would like to create this view (data from Files B & C) in Datorama:
Which proposed solution would cause a false connection between the two files?
A client wants to integrate their data within Marketing Cloud Intelligence to optimize their marketing insights and cross-channel marketing activity analysis. Below are details regarding the different data sources and the number of data streams required for each source.
When harmonizing the Objective field from within the data stream mapping, which advantage is gained?
Your client is interested in ingesting the below file:
The client decided to upload the file to a new generic data stream type and map 'Date' to 'Day' and 'Number of Topics' to a generic custom metric.
In regards to the fields 'Meeting Code' and 'Meeting Name', your client is debating several options.
Which two options would you recommend in order to avoid data loss?
'Meeting Name' will be mapped to 'Main Generic Entity custom attribute'.
'Meeting Name' will be mapped to 'Generic Entity 2 Key'.
'Meeting Name' will be mapped to 'Main Generic Entity Attribute 2'.
'Meeting Name' will be mapped to 'Generic Entity Key'
'Meeting Code' will be mapped to 'Main Generic Entity Attribute 1'.
'Meeting Name' will be mapped to 'Main Generic Entity Attribute 2'.
The following file was uploaded into Marketing Cloud Intelligence as a Generic Data Stream type:
The mapping is as follows:
Day --- Day
web_site_key ---> Main Generic Entity Key
web_site_name ---> Main Generic Entity Name
Web_site_source ---> Main Generic Entity Attribute 01
Page Views --- Generic Metric 1
How many rows will be stored in Marketing Cloud Intelligence after the above file is ingested?