Hourly Performance Report

Hourly Performance Report pipeline is used to request and retrieve details about the daily performance of various objects such as campaigns, adgroups, and keywords. Read more about this here

Configuring the Credentials

Select the account credentials which has access to relevant Apple Search 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 Hourly Performance Report 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 report per pipeline and use Union queries in the data warehouse to join the data for consumption.
Field & Metrics

Select relevant fields and metrics from the drop-down. You can click on View Schema anytime to see the schema of the table which will get created.

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

Object

Required

Select to specify the object for which you wish to retrieve data in each run.

campaign, adgroup, keyword

Default Value: campaign

TimeZone

Required

Select to specify the timezone for which you wish to retrieve data in each run.

UTC, ORTZ

Default Value: UTC

No of Days

Required

Number of days for which you wish to get the data in each run.

Integer value (Max value 7)

Group By

Required

Specify the manner in which incoming data has to be grouped together in the report. The deviceClass dimension is a group of device classes that the promoted app supports.

deviceClass

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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