Warehouses and Lakes
Marketing Analytics

How to load data from Google Ads to Snowflake Data Cloud destination

Learn how to use Airbyte to synchronize your Google Ads data into Snowflake Data Cloud destination within minutes.


This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up Google Ads as a source connector (using Auth, or usually an API key)
  2. set up Snowflake Data Cloud destination as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Google Ads

The Google Ads API is the modern programmatic interface to Google Ads and the next generation of the AdWords API and it is a paid online advertising platform offered by Google. Google Ads is a paid search channel. Google Ads is a key digital marketing tool for any business which is looking to get meaningful ad copy in front of its target audience. Google AdWords is a well known marketplace where companies pay to have their website ranked at the top of a search results page, based on keywords.

What is Snowflake Data Cloud destination

A cloud data platform, Snowflake Data Cloud provides a warehouse-as-a-service built specifically for the cloud. The Snowflake platform is designed to empower many types of data workloads, and offers secure, immediate, governed access to a comprehensive network of data. Snowflake’s innovative technology goes above the capabilities of the ordinary database, supplying users all the functionality of database storage, query processing, and cloud services in one package.


  1. A Google Ads account to transfer your customer data automatically from.
  2. A Snowflake Data Cloud destination account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Google Ads and Snowflake Data Cloud destination, for seamless data migration.

When using Airbyte to move data from Google Ads to Snowflake Data Cloud destination, it extracts data from Google Ads using the source connector, converts it into a format Snowflake Data Cloud destination can ingest using the provided schema, and then loads it into Snowflake Data Cloud destination via the destination connector. This allows businesses to leverage their Google Ads data for advanced analytics and insights within Snowflake Data Cloud destination, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Google Ads as a source connector

1. Go to the Airbyte dashboard and click on "Sources" on the left-hand side of the screen.

2. Click on the "New Source" button and select "Google Ads" from the list of available connectors.

3. Enter a name for your connector and click on "Next".

4. Enter your Google Ads credentials, including your client ID, client secret, refresh token, and developer token.

5. Click on "Test Connection" to ensure that your credentials are correct and that Airbyte can connect to your Google Ads account.

6. Once the connection is successful, select the accounts that you want to sync with Airbyte.

7. Choose the sync mode that you want to use, either "Full Refresh" or "Incremental".

8. Set the frequency of your sync and click on "Create Source" to save your settings.

9. Your Google Ads source connector is now set up and ready to use. You can view your data in the Airbyte dashboard and start syncing it with your destination.

Step 2: Set up Snowflake Data Cloud destination as a destination connector

1. First, navigate to the Airbyte website and log in to your account.

2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.

3. Scroll down until you find the Snowflake Data Cloud destination connector and click on it.

4. You will be prompted to enter your Snowflake account information, including your account name, username, and password.

5. After entering your account information, click on the "Test" button to ensure that the connection is successful.

6. If the test is successful, click on the "Save" button to save your Snowflake Data Cloud destination connector settings.

7. You can now use the Snowflake Data Cloud destination connector to transfer data from your Airbyte sources to your Snowflake account.

8. To set up a data transfer, navigate to the "Sources" tab on the left-hand side of the screen and select the source you want to transfer data from.

9. Click on the "Create New Connection" button and select the Snowflake Data Cloud destination connector as your destination.

10. Follow the prompts to set up your data transfer, including selecting the tables or data sources you want to transfer and setting up any necessary transformations or mappings.

11. Once you have set up your data transfer, click on the "Run" button to start the transfer process.

Step 3: Set up a connection to sync your Google Ads data to Snowflake Data Cloud destination

Once you've successfully connected Google Ads as a data source and Snowflake Data Cloud destination as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select Google Ads from the dropdown list of your configured sources.
  3. Select your destination: Choose Snowflake Data Cloud destination from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific Google Ads objects you want to import data from towards Snowflake Data Cloud destination. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Google Ads to Snowflake Data Cloud destination according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Snowflake Data Cloud destination data warehouse is always up-to-date with your Google Ads data.

Use Cases to transfer your Google Ads data to Snowflake Data Cloud destination

Integrating data from Google Ads to Snowflake Data Cloud destination provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Snowflake Data Cloud destination’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Google Ads data, extracting insights that wouldn't be possible within Google Ads alone.
  2. Data Consolidation: If you're using multiple other sources along with Google Ads, syncing to Snowflake Data Cloud destination allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: Google Ads has limits on historical data. Syncing data to Snowflake Data Cloud destination allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Snowflake Data Cloud destination provides robust data security features. Syncing Google Ads data to Snowflake Data Cloud destination ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Snowflake Data Cloud destination can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Google Ads data.
  6. Data Science and Machine Learning: By having Google Ads data in Snowflake Data Cloud destination, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Google Ads provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Snowflake Data Cloud destination, providing more advanced business intelligence options. If you have a Google Ads table that needs to be converted to a Snowflake Data Cloud destination table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Google Ads account as an Airbyte data source connector.
  2. Configure Snowflake Data Cloud destination as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Google Ads to Snowflake Data Cloud destination after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

Google Ads is an advertising platform that provides a pay-per-click marketing channel. It offers an effective way for advertisers to drive traffic to their businesses when users search for related products or services, and allows advertisers to reach the right target audience.

When you combine data from Google Ads with other marketing data you can gain valuable insights into how you acquire customers, the value of your customer conversions from advertisements, and much more. Airbyte provides a fully managed data pipeline that allows you to seamlessly move your data in Google Ads to Snowflake to get near-real-time insights, which will provide the following benefits.

Build a 360-degree view of your business

Analyzing data scattered across different functions like sales, finance, and marketing can be a challenge. However, if  you combine your Google Ads data with all other relevant data in one platform, you will get a more holistic view of your business. A cloud-based data warehouse like Snowflake can become the single source of truth to understand your business. For a deep dive into this topic, see our guide to data integration.

Improved analytics capabilities

The export features provided by Google Ads are limited to simple files such as Excel or CSV files, or other Google products such as BigQuery. On the other hand, if you move your data into a data warehouse such as Snowflake, you will have more flexibility accessing and analyzing your data, including running queries with SQL or using BI tools for data visualization.

Own and retain your data on your own systems

Once you drive your Google Ads data into a data warehouse, you are not tied to Google Ads’ data retention policies – you can keep your data for as long as you want, which gives you full access to your data whenever you need it, no matter how old or new.

With Airbyte's connectors, you can easily create a data pipeline between any supported source and any supported destination. In this tutorial, we will cover the steps to move data from the Google Ads platform to Snowflake. Before we get started, let's review the prerequisites.


  1. Signup for an Airbyte Cloud account to do the data replication for you.
  2. Create a Google Ads account.
  3. Create a Snowflake account.

Step 1: Set up your Google Ads account

To start, login to your Google Ads account. Once you have entered into your Google Ads account and have an ad campaign set up, you will need a manager account. If you don’t have one already, you can create a manager account as shown below.

Once you have your Google Ads and your Google Ads manager accounts set up, you will need to note the Customer IDs for both the ad account and the manager account. These values will be required later on to configure Airbyte. You can find these by going to Settings > Sub-account settings.

Step 2: Set up your Snowflake account

When creating a Snowflake account, you’ll need to pick a Snowflake edition and a cloud provider as part of the account creation process. Then you’ll receive an email containing your login URL. Make sure to bookmark this URL for future logins.

Once your account is successfully created, you'll be redirected to the Snowflake dashboard. The worksheet area will be the primary place where you’ll run scripts for creating and modifying resources. You will need to set up the destination database, user, role, and schema on Snowflake which will be used by Airbyte when syncing data.  

The good news is that Airbyte provides a script for automating this process, which you can find in the Airbyte Snowflake destination docs. Paste the snippet below into your worksheet area on Snowflake.

-- set variables (these need to be uppercase)
set airbyte_role = 'AIRBYTE_ROLE';
set airbyte_username = 'AIRBYTE_USER';
set airbyte_warehouse = 'AIRBYTE_WAREHOUSE';
set airbyte_database = 'AIRBYTE_DATABASE';
set airbyte_schema = 'AIRBYTE_SCHEMA';

-- set user password
set airbyte_password =’YOUR_AIRBYTE_PASSWORD';


-- create Airbyte role
use role securityadmin;
create role if not exists identifier($airbyte_role);
grant role identifier($airbyte_role) to role SYSADMIN;

-- create Airbyte user
create user if not exists identifier($airbyte_username)
password = $airbyte_password
default_role = $airbyte_role
default_warehouse = $airbyte_warehouse;

grant role identifier($airbyte_role) to user identifier($airbyte_username);

-- change role to sysadmin for warehouse/database steps
use role sysadmin;

-- create Airbyte warehouse
create warehouse if not exists identifier($airbyte_warehouse)
warehouse_size = xsmall
warehouse_type = standard
auto_suspend = 60
auto_resume = true
initially_suspended = true;

-- create Airbyte database
create database if not exists identifier($airbyte_database);

-- grant Airbyte warehouse access
grant USAGE
on warehouse identifier($airbyte_warehouse)
to role identifier($airbyte_role);

-- grant Airbyte database access
on database identifier($airbyte_database)
to role identifier($airbyte_role);



USE DATABASE identifier($airbyte_database);

-- create schema for Airbyte data
CREATE SCHEMA IF NOT EXISTS identifier($airbyte_schema);



-- grant Airbyte schema access
on schema identifier($airbyte_schema)
to role identifier($airbyte_role);


Note. Be sure to change the airbyte_password before running the script.

Select All queries and run the script by clicking on the run button.

Once successfully executed, you should see the following message:

Step 3: Set up Google Ads as the Airbyte source

Now that you have your Google Ads account set up and the required Customer IDs, you can start configuring the Google Ads source in Airbyte. Login to Airbyte Cloud, select or create a new workspace, and create a new connection. Give the connection a name and choose Google Ads as the Source Type.

You will be prompted to sign in to your Google account.

Once you select the Google account, you will be prompted to give Airbyte additional access that it requires to replicate your Google Ads data to Snowflake.

Once you are successfully signed in, you will be redirected to Airbyte.

Next, enter the Google Ad account ID and the Manager Account ID from Step 1 in the Customer ID and Login Customer ID for Managed Accounts fields. Next, specify the start and end dates, and complete the configuration by clicking on Set up source.

Step 4: Set up Snowflake as the Airbyte destination

The next step is setting up Snowflake as the destination. Select Snowflake as the destination type and give it a name. See our Snowflake docs for more information.

Enter the values for the fields based on the values set in the script in Step 2. For the host, enter the URL you received when signing up for Snowflake. If you updated the password in your script, enter the new password. Once ready, click on the Set up destination button.

Step 5: Set up a Google Ads to Snowflake Airbyte connection

Once the source and destination are configured, you can access your connection settings. Here you can specify the connection settings including the replication frequency, the destination namespace, and also set a destination stream prefix if required.

You can also see the various source data sets (referred as streams by Airbyte) that are available to be copied.

You can set sync mode for each data set individually. In this case, we will set the campaigns data to use the Incremental Sync with the source-defined cursor field. You can also choose between using raw data or basic normalization.

Once configured, save the connection and select Sync now.

Once the sync and normalization are complete, you can go to the Database section in the Snowflake UI to see the tables that have been copied. If you have chosen to normalize your data, each of the datasets available from Google Ads will have been copied into its own table. You should also be able to access the raw data in a separate table with the name _AIRBYTE_RAW_{TABLE_NAME}.

You can view the structure of the table as well as the data types for each of the fields. Airbyte automatically maps the data types from Google Ads to the corresponding data types in Snowflake. For example, the campaign's data has the following structure.

You can test out the incremental sync for the campaigns table by logging on to Google Ads and adding a new campaign. Once you add some more data, run another sync from Airbyte.

Once the sync has been completed, you can go back to Snowflake to see the updated counts for the appended rows.


In this article we have shown you how you can use Airbyte to move from Google Ads to Snowflake. The steps were:

  1. Set up your Google Ads account
  2. Set up your Snowflake account
  3. Set up Google Ads as the Airbyte source
  4. Set up Snowflake as the Airbyte destination
  5. Set up a Google Ads to Snowflake Airbyte connection

If you want to easily try out Airbyte to replicate your Google Ads account to Snowflake, you may be interested in our fully managed solution: Airbyte Cloud. We also invite you to ‍join the conversation on our community Slack to share your ideas with thousands of data professionals and help make everyone’s project a success!

Frequently Asked Questions

What data can you extract from Google Ads?

Google Ads API provides access to a wide range of data related to advertising campaigns, including:  

- Campaigns: Information about the campaigns, such as name, status, budget, and targeting settings.

- Ad groups: Details about the ad groups, including name, status, and targeting criteria.

- Ads: Information about the ads, such as type, format, and performance metrics.

- Keywords: Data related to the keywords used in the campaigns, including search volume, competition, and performance metrics.

- Bidding: Details about the bidding strategies used in the campaigns, such as manual bidding or automated bidding.

- Conversions: Information about the conversions generated by the campaigns, including conversion rate, cost per conversion, and conversion tracking settings.

- Audience: Data related to the audience targeting used in the campaigns, such as demographics, interests, and behaviors.

- Location: Information about the geographic targeting used in the campaigns, including location targeting settings and performance metrics.  

Overall, the Google Ads API provides a comprehensive set of data that can be used to optimize advertising campaigns and improve their performance.

What data can you transfer to Snowflake Data Cloud destination?

You can transfer a wide variety of data to Snowflake Data Cloud destination. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from Google Ads to Snowflake Data Cloud destination?

The most prominent ETL tools to transfer data from Google Ads to Snowflake Data Cloud destination include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from Google Ads and various sources (APIs, databases, and more), transforming it efficiently, and loading it into Snowflake Data Cloud destination and other databases, data warehouses and data lakes, enhancing data management capabilities.