Campaign Stats

Campaign Stats can be used to request and retrieve all the statistics of the campaigns you’ve created for the selected dates.

Configuring the Credentials

Select the account credentials which has access to relevant Simpli.fi 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 Campaign Stats from the listed pipelines & Click Next

Organisation: Select the organization to retrieve campaigns for.

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'
By Day	*Required* Specify whether you want the data aggregated by day	`True`, `False` *Default Value:* True
By Campaign	*Required* Specify whether you want the data aggregated by campaign	`True`, `False` *Default Value:* True
By Ad	*Required* Specify whether you want the data aggregated by ad	`True`, `False` *Default Value:* True
Insert Mode	*Required* Specifies the manner in which data will get updated in the data warehouse : UPSERT will insert only new records or records with changes, APPEND will insert all fetched data at the end, REPLACE will drop the existing table and recreate a fresh one on each run.	`Upsert`, `Append`, `Replace` *Default Value:* Replace

Number of Days

Required

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

'NUMBER'

By Day

Required

Specify whether you want the data aggregated by day

True, False

Default Value: True

By Campaign

Required

Specify whether you want the data aggregated by campaign

True, False

Default Value: True

By Ad

Required

Specify whether you want the data aggregated by ad

True, False

Default Value: True

Insert Mode

Required

Specifies the manner in which data will get updated in the data warehouse : UPSERT will insert only new records or records with changes, APPEND will insert all fetched data at the end, REPLACE will drop the existing table and recreate a fresh one on each run.

Upsert, Append, Replace

Default Value: Replace

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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