Keywords Historical Metrics Report
The Keywords Historical Metrics Report can be used to request and retrieve historical metrics on how keywords have previously performed on Google Search.
You can read more about this end-point on the Google Ads API documentation page here
Configuring the Credentials
Select the account credentials which has access to relevant Google Ads data from the dropdown menu & Click Next
Data Pipelines Details
- Data Pipeline
-
Select Keywords Historical Metrics Report from the dropdown
- Manager
-
Select the manager account for which you would like to retrieve the report.
- Customer
-
Select one or more customers from the drop-down
| All manager accounts/ customers 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 customers, the table size may become too large and so it is advisable to add one customer per pipeline and use Union queries in the data warehouse to join the data for consumption |
Setting Parameters
| Parameter | Description | Values |
|---|---|---|
Insert Mode |
Required Specify 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.Recommended to use "Upsert" option unless there is a specific requirement. |
Default Value: Upsert |
Fetch Mode |
Required Specifies the manner in which data will get fetched from the data warehouse : FULL will fetch the entire column(s) from the selected table/view, INCREMENTAL will bring the fresh record(S) added since last fetch |
Default Value: FULL |
Keywords |
Required A list of keywords to get historical metrics. |
String value |
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
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Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.
- Advance Scheduling
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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
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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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