Account Ads

Contains information to display an ad and associate it an ad set. Each ad is associated with an ad set and all ads in a set have the same daily or lifetime budget, schedule, and targeting. Creating multiple ads in an ad set helps optimize their delivery based on variations in images, links, video, text or placements. Use this pipeline to get the data (less performance metrics) of the ads in your account. Read more about the Ad end-point here

Configuring the Credentials

Select the account credentials which has access to relevant Facebook Ads 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 Account Ads from the dropdown
Account: Select one or more accounts from the drop-down

All accounts 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 accounts, the table size may become too large and so it is advisable to add one account per pipeline and use Union queries in the data warehouse to join the data for consumption

Dimensions: Select the dimensions that you would like to fetch from the Facebook Ads platform. You can click on View Schema anytime to see the schema of the table being created.

Each of the selected dimension will create one or more columns in the database table in the destination warehouse. For a complete list of all the available dimensions along with their explanation refer this link.

Setting Parameters

Parameter	Description	Values
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:* Upsert

Parameter

Description

Values

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: Upsert

Filtering

Click on + Add New for setting up a new filter

In order to get details for objects which are in other states like paused or deleted etc we need to specify filters. These are needed since by default the facebook will return data only for those ads/campaigns etc which are enabled.

Available filters are as under:-

Filter Description Values

Filter	Description	Values
Ad Effective Status	*Optional* Select all types of status you wish to get the data for. *Recommended to select all values.*	`active, archived, adset_paused, campaign_paused, deleted, disapproved, paused, pending_billinfo, pending_review, permanently_deleted, preapproved`
Ad Delivery Info	*Optional* Select all the types by which you wish to filter your ad data. *Recommended to select all values.*	`active, archived, completed, inactive, limited, not_delivering, not_published, pending_review, permanently_deleted, recently_completed, recently_rejected, rejected, scheduled`

Ad Effective Status

Optional

Select all types of status you wish to get the data for. Recommended to select all values.

active, archived, adset_paused, campaign_paused, deleted, disapproved, paused, pending_billinfo, pending_review, permanently_deleted, preapproved

Ad Delivery Info

Optional

Select all the types by which you wish to filter your ad data. Recommended to select all values.

active, archived, completed, inactive, limited, not_delivering, not_published, pending_review, permanently_deleted, recently_completed, recently_rejected, rejected, scheduled

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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