This comprehensive guide shows you how to import Google Ads data into Airtable using the Data Fetcher extension. You'll learn to connect your Google Ads account to Airtable, import campaign metrics as records, and set up automatic syncing for your Google Ads Airtable integration.
The Data Fetcher extension requires no coding knowledge and works with Google Analytics, Google Sheets, Facebook Ads, and other marketing platforms to centralize your data in Airtable.
Install Data Fetcher
Before setting up your Google Ads Airtable integration, you need to install and configure the Data Fetcher extension.
1. Install Data Fetcher from the Airtable extension marketplace.
2. Create your free account by entering your name, email address, and password, then click Sign up for free.
3. Alternatively, sign up using your Google account.
4. Already have an account? Sign in at the bottom left of the screen.
Connect Google Ads to Airtable
Once Data Fetcher is installed, you'll create your first request to import Google Ads data into your Airtable base.
Create Your Integration Request
1. On the Data Fetcher extension home screen, click Create your first request.
2. For Application, select Google Ads to use the Google Ads Airtable integration.
3. Under Authorization, select + New Google Ads Connection.
Authorize Google Ads Account Access
1. On the new window that opens, select the Google Account that owns the Google Ads data you want to import to Airtable.
2. On the next screen, tick the box to allow Data Fetcher to manage your and access your Google Ads data.
3. Click Continue.
3. You'll return to the Data Fetcher extension interface with your Google Ads connection established.
4. Give the request a descriptive name such as "Import Google Ads Data" and click Save & Continue.
Your Google Ads account is now connected to Airtable through Data Fetcher, ready for data import configuration.
Configure Google Ads Data Import Settings
Now you'll specify which Google Ads data to import and how to structure it in your Airtable base.
Select Your Google Ads Account and Date Range
1. Select the Google Ads account you want to import data from using the account dropdown.
2. Choose your Date range for the Google Ads data import. Options include Last 7 days, Last 90 days, or select Custom to specify exact dates.
Choose Data Fields and Structure
1. Select the Fields you want to import from Google Ads. Common options include Impressions, Clicks, CTR, Cost, and Conversions.
2. Configure Split by if you want the Google Ads Airtable integration to create separate records for different dimensions. For example, select Date to get individual records for each day, or Ad group name to create records for each ad group. Leave this blank for aggregate totals across your selected date range.
Apply Data Filters (Optional)
1. Under Filters, click Add Filter to import only specific Google Ads data that meets your criteria.
2. Set conditions such as importing only ads with more than 100 impressions or campaigns with costs above a certain threshold.
Set Output Destination
1. Select the Output Table & View in Airtable where you want your Google Ads data to appear.
2. Click Save & Run to proceed to field mapping.
Map Your Google Ads Data Fields
Data Fetcher will connect to your Google Ads account and open the Response Field Mapping window, where you'll configure how Google Ads data appears in your Airtable table.
Configure Field Mapping
1. The Response Field Mapping modal displays all available fields from your Google Ads data.
2. For each field, you can either select or filter it out, and you can either map data to a new field or to an existing field.
3. All fields from Google Ads will be pre-selected and mapped to new fields by default.
4. Set the "type" of the Airtable fields as needed. For example, you can set a "Cost" field to Currency or an "Ad Status" field to Single select.
5. Once you're happy with the mapping, click Save & Run.
Data Fetcher will create any new fields in your output table and import your Google Ads campaign data as Airtable records.
Set up Automatic Google Ads Airtable Integration
Currently, you need to manually click Run to import any updates to your Google Ads data. It's possible to run the Google Ads Airtable integration automatically at regular intervals, so any changes in your Google Ads campaigns are synced in Airtable.
This is a paid Data Fetcher feature, so if you haven't already, you will need to upgrade your account.
Upgrade Your Account
1. In Data Fetcher, scroll to Schedule and click Upgrade.
2. Choose a plan from the different options depending on your needs and enter your payment details.
Set Up Automatic Scheduling
1. Under Schedule, click + Authorize.
2. A window will now open, allowing you to authorize the Airtable bases you want Data Fetcher to have access to. If you select + Add all resources this should avoid any issues with unauthorized bases in the future.
3. Click Grant access.
4. Schedule this request will now be switched on in Data Fetcher.
5. Select a schedule for the Google Ads Airtable integration based on intervals of "Minutes", "Hours", "Days" or "Months".
6. Click Save, and any new data from your Google Ads campaigns will automatically import into your Airtable base on your chosen schedule.
Set Up Data Syncing (Important)
To ensure that Data Fetcher syncs your Google Ads data correctly when records are updated:
- Navigate to Advanced settings in Data Fetcher.
- For Update Based on Field(s), select a unique field such as "Date" if you split by date, or "Ad group name" if you split by ad group. This keeps your Airtable records properly synchronized with your Google Ads data updates.
Conclusion: Sync Google Ads with Airtable Successfully
You've now successfully connected Google Ads to Airtable and set up automatic data syncing. This integration combines Google Ads campaign data with Airtable's database capabilities for better campaign management and reporting.
Common Use Cases for Google Ads Airtable Integration
This integration is particularly useful for:
- Marketing teams tracking campaign performance alongside lead data and sales outcomes.
- Agencies managing multiple client campaigns with custom reporting views.
- E-commerce businesses combining ad spend data with product performance metrics.
- Performance marketers analyzing campaigns with conversion tracking data.
