Reports Geo

The Reports Geo pipeline can be used to request and retrieve the details of your Amazon DSP campaign performance broken down by customers’ geographical data.

Configuring the Credentials

Select the account credentials which has access to relevant Amazon Ads DSP data from the dropdown menu & Click Next

Credentials not listed in dropdown ?: Click on + Add New for adding new credentials

Data Pipelines Details

Data Pipeline: Select Reports Geo from the dropdown

Profile: Select a profile from the drop-down

All profiles which your credentials have access to should be available here. If they are not, please check the credentials selected / configured by you.

Advertiser: Select one or more advertisers from the drop-down

All advertisers which your credentials have access to should be available here. If they are not, please check the credentials selected / configured by you. While you can add multiple advertisers, the table size may become too large and so it is advisable to add one advertisers per pipeline and use Union queries in the data warehouse to join the data for consumption

Metrics: Select the metrics that you would like to fetch from the Amazon Ads DSP platform.

Setting Parameters

Parameter Description Values

Parameter	Description	Values
Number of Days	*Required* Enter the number of days for which you wish you get the data in each run.	'NUMBER'
Insert Mode	*Required* This refers to the manner in which data will get updated in the data warehouse, with 'Upsert' selected, the data will be upserted (only new records or records with changes) and with 'Append' selected, all data fetched will be inserted. Selecting 'Replace' will ensure the table is dropped and recreated with fresh data on each run. Recommended to use "Upsert" option unless there is a specific requirement.	`Upsert`, `Append`, `Replace` *Default Value:* Upsert
Upsert Key *Dependant*	*Required* *(If Upsert is chosen as the Insert Mode Type)* Specify the upsert key(s) based on which data is to be upserted.	String value
Group By	*Required* This refers to the option according to which you want the data to be grouped.	`Select All`, `Remove All`, `order`, `lineitem`, `country`, `region`, `city`, `postalcode`, `dma`

Number of Days

Required

Enter the number of days for which you wish you get the data in each run.

'NUMBER'

Insert Mode

Required

This refers to the manner in which data will get updated in the data warehouse, with 'Upsert' selected, the data will be upserted (only new records or records with changes) and with 'Append' selected, all data fetched will be inserted. Selecting 'Replace' will ensure the table is dropped and recreated with fresh data on each run. Recommended to use "Upsert" option unless there is a specific requirement.

Upsert, Append, Replace

Default Value: Upsert

Upsert Key

Dependant

Required

(If Upsert is chosen as the Insert Mode Type)

Specify the upsert key(s) based on which data is to be upserted.

String value

Group By

Required

This refers to the option according to which you want the data to be grouped.

Select All, Remove All, order, lineitem, country, region, city, postalcode, dma

Datapipeline Scheduling

Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.

Manual Run: If scheduling is not required, you can use the toggle to run the pipeline manually.
Normal Scheduling: Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.
Advance Scheduling: Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.

Detailed explanation on scheduling of pipelines can be found here

Dataset & Name

Dataset Name: Key in the Dataset Name(also serves as the table name in your data warehouse).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.
Dataset Description: Enter a short description (optional) describing the dataset being fetched by this particular pipeline.
Notifications: Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".

Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here

Still have Questions?

We’ll be happy to help you with any questions you might have! Send us an email at info@datachannel.co.

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