---
schema_version: "1"
id: 7c61412eaefe3b0d87f51108a52a85ea8db2db745eb817ba2145769e381685f5
title: Create a Google Ads Data Stream
collection: developer
version: current
locale: en-us
portal_url: https://docs.salesforce.com/developer/current/en-us/data-cloud/data-cloud-int/guides/googleads/c360-a-create-googleads-data-stream.md
canonical_url: https://developer.salesforce.com/docs/data/data-cloud-int/guide/c360-a-create-googleads-data-stream.html
source_site: developer.salesforce.com
content_type: documentation
content_hash: e68e88434860cbd490d261c34d8368a19d81bf00644d4275b6a663f3a41c3667
products:
  - Data 360 Integration Guide
  - Data 360 Developer Documentation
---
# Create a Google Ads Data Stream

Create a data stream to start the data flow from your Google Ads source to Data 360.

1.  In Data Cloud, on the Data Streams tab, click **New**.

2.  Under Other Sources, select **Google Ads**, and then click **Next**.

3.  Select the Google Ads connection.

4.  On the Available Objects tab, select the object to import.

    **note:** Each object can be used one time per connection.

5.  In the Source field, enter the Google Ads connection you selected.

6.  Click **Next**.

7.  Under Data Lake Object, select the data lake object (DLO) for the selected object, or create a new DLO.

    For example, if you select the Campaign Level Audience View object, select **Campaign Level Audience View** from the dropdown list.

8.  Review the automatically assigned data type.

9.  For each empty mapping field, select the corresponding data lake object field from the dropdown list.

    **note:** After you map a field, Data 360 removes it from the list and you can’t select it again.

    **note:** When mapping the Event Date field, enter a date and time. The data type changes to DateTime.

10. Click **Next**.

11. Select the refresh mode.

    | FIELD            | DESCRIPTION                                                                                                                                                                                                                                                                                          |
    | ---------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
    | **Full Refresh** | All existing data is deleted and replaced daily with the current data. Enter the data stream details.                                                                                                                                                                                                |
    | **Incremental**  | Only new data is added to the dataset. Your table must have a primary key and a datetime column to determine the date and time a row was last modified. For Record Modified Date-time, select the field to tag records that have changed. Optionally, identify the column to flag for soft deletes.  |

12. Enter the data stream details.

13. Select a start date and end date to import data.

    If you don’t select a start date and end date, the connector initially imports 180 days of historical data before the current date. After the initial import, the connector imports data from 7 days before the current date.

14. Set the frequency to daily, and then set a time.

15. Click **Deploy**.

16. Repeat these steps for each object that you want to import.

When the Last run status is successful, review the number of processed records and the total number of loaded records.

## See Also

- [Salesforce Help: Data Stream Settings and Refresh Modes](https://help.salesforce.com/s/articleView?id=data.c360_a_data_stream_edit_settings.htm&type=5)
