Why is my Data Integration Failing between Google Ads and Snowflake?

Integrating data from Google Ads to Snowflake provides you with an effective way to analyze your marketing campaign performance. Although Google Ads offers some analytics tools, you need to conduct an in-depth analysis to extract crucial insights. By leveraging Snowflake’s advanced features for analyzing and visualizing data, you can promptly minimize risks and maximize revenue by identifying shortcomings in your marketing strategies.

While establishing a data pipeline between the two platforms, you may encounter errors and challenges. It is important to be aware of some common reasons behind a failed data integration. This article will delve into some of the key reasons why your data integration between Google Ads and Snowflake is failing and how you can prevent it.

Reasons Why Data Integration Between Google Ads and Snowflake Is Failing

Before moving data from Google Ads to Snowflake, it is vital that you have active Snowflake and Google Ads accounts. However, some glitches or errors may contribute to your data integration failure. Let’s understand a few of them:

Google Ads Browser Compatibility

Failed configuration and integration in Google Ads can be caused by your browser not being compatible with the current interface. Google Ads supports most of the major current and prior browser releases, but it is recommended that you download the most recent version. 

If you are setting up the integration via a desktop computer and using Google Chrome, then the browser will automatically receive updates in the background. This means that you will most likely work with the latest version. If you are using other browsers, namely Microsoft Edge, Firefox, or Safari, you need to manually update it to use the latest version.

There may be times when you have a supported browser installed, but Google Ads is not appearing. In such situations, try clearing your browser’s caches and cookies. You also need to update your browser preferences to allow cookies and JavaScript. It will help ensure Google Ads does not encounter further issues, enabling uninterrupted data integration.

Snowflake Integration Does Not Exist Error

In Snowflake, there may be times when you are accessing an external stage and receive the message, “<integration_name> INTEGRATION does not exist or is not authorized.” It can happen even when the SHOW INTEGRATIONS command displays the name of your particular integration. Despite your current role in the Snowflake user account having all the necessary privileges, you might still see the issue persisting.

This error occurs if your storage integration is linked to an external stage and you recreate the storage integration without updating the associated stages. A storage integration is a Snowflake object that stores generated IAM entities to access external cloud storage. This feature prevents the need to verify your credentials every time you create stages or load or unload data. A single Snowflake storage integration can support multiple external stages.

It is important to note that Snowflake internally assigns a unique ID to each storage integration. When you use a CREATE OR REPLACE query, Snowflake drops the particular object and recreates it. However, when you conduct this on a storage integration through the CREATE OR REPLACE STORAGE INTEGRATION query, it causes a snag at the backend. The existing internal ID of that storage integration is recreated as a new, unique ID. This causes a disparity between the storage integration and any existing stages that reference it.

To re-establish each stage’s association after you recreate a storage integration, you need to run the following command:

It will ensure that existing stages will use the updated and correct internal ID of the storage integration.

Activating a Specific Google Ads Template in Snowflake

The Google Ads Manager API for the Audience Overlap and Segmentation Template in Snowflake’s Activation Hub has been deprecated from February 3, 2025. Since this service is unavailable, you may not be able to integrate data or activate the template for analysis. 

To overcome this issue, you can activate the Audiences template through sharebacks to both your Consumer and Provider Snowflake accounts. If you do not have either of these accounts or only have a Reader account, you must wait for an update from Snowflake regarding connectivity restoration.

Snowflake Data Clean Rooms Compliance

Snowflake Data Clean Room is a native solution that allows you to securely consolidate and analyze data from multiple parties without worrying about privacy concerns. However, if you use a third-party connector for data activation within Snowflake, you must comply with applicable privacy laws and regulations.

Snowflake Data Clean Rooms currently don’t support data subject consent management. You should obtain all necessary rights and consent before using any shared data. Failure to do so may result in unsuccessful data integration or legal consequences.

It is important to note that the Data Clean Rooms feature is not available in government cloud regions. Before proceeding, you must check your Snowflake account’s cloud region to ensure compatibility.

SSL Certificate Issues

An SSL (Secure Socket Layer) certificate is a file that encrypts your data communication between a browser and a website. SSL certificate issues can occur in both Google Ads and Snowflake, disrupting integration.

An Error: 60 – SSL certificate problem occurs if you are using a security gateway that blocks the connection between your Google Ads Editor and servers. To mitigate it, you must configure an exemption on your current third-party security software for the following domains:

• tpc.googlesyndication.com
• ads.google.com
• www.google.com

On the other hand, Snowflake does not support manual alteration of the SSL certificates for its services. You need to work with your network administrator to ensure that all service endpoints are correctly resolved. This can be done by allowing the Snowflake URL function to have complete passthrough access through your network.

Airbyte: The Best Way to Conduct Data Integration Between Google Ads and Snowflake 

There are different ways to integrate data between Google Ads and Snowflake. These include creating a custom data pipeline or using native connectors. However, the associated drawbacks include the technical expertise required for both platforms. Apart from this, hiring a technical team can increase development costs. Manual processes can result in slow integration cycles, and troubleshooting errors increases operational complexity.

To avoid such problems, you should utilize a robust data movement platform. Airbyte is one of the most well-known data integration and replication tools available. This AI-powered platform offers an extensive library of 550+ pre-built connectors. Here, you can find a source connector for Google Ads, as well as a destination connector for Snowflake.

Creating a data pipeline between Google Ads and Snowflake in Airbyte will take only a few minutes. Since these connectors are readily available on the platform, you do not need to write a single line of code. All you have to do is log in or sign up to the platform and then follow these steps:

Step 1: Configure Source

• From the left navigation pane, select Sources.‍
• In the Set up a new source page, find and select the source connector for Google Ads.
  

• On the connector configuration page, add the required details and then click the Set up source button.

Step 2: Set up Destination

• Go back to the left navigation pane and select the Destinations tab.
• Select Snowflake from the list of available connectors.

• Fill in all the mandatory fields on the connector’s configuration page and click the Set up destination button.

Step 3: Establish the Connection

• Select the Connections tab from the left navigation pane.
• Under Define source, choose the Select an existing source option. Select Google Ads that you have already configured in Step 1.
• Similarly, in the Define destination tab, click on Select an existing destination to link Snowflake as the endpoint of the pipeline.
• In the Select streams section, you must set the sync mode, schema, and replication frequency per your requirements.

• Click Next and initiate the sync in the Configure connection tab.

With these simple steps, your connection is up and running, allowing you to transfer data anytime you want without worrying about data pipeline breakdown.

Airbyte is a highly secure platform that adheres to industry standards, such as ISO 27001, SOC 2, HIPAA, and GDPR. It cannot read your data at any point, making the platform ideal for transferring sensitive data.

Airbyte also enables you to integrate your pipeline with dbt to apply custom transformations on your data. Your team can save the time needed to clean and standardize data, giving them more time for analysis and insight generation.

To gain more control over your Google Ads to Snowflake data pipeline, you can integrate Airbyte with data orchestration tools. This scalable platform works well with popular orchestration platforms like Kestra, Prefect, Dagster, and Apache Airflow. It can help you monitor your pipeline workflow, adjust the workload scale, and stay constantly updated.

Airbyte offers one of the largest data and AI communities, featuring over 20,000+ members and 1,000+ contributors. In case you run into any data integration issues on the platform, you can rely on this dedicated community to get solutions. Members also provide daily tips to help you improve the performance of your pipelines.

Conclusion

Moving data from Google Ads to Snowflake can be challenging, especially when you are using the platforms for the first time.

If you or your team members do not have strong technical skills to troubleshoot errors, you should turn to no-code data integration platforms like Airbyte. In three simple steps, you can create secure and scalable pipelines. Airbyte’s robust features and expansive community ensure that you can enjoy uninterrupted data movement while having dedicated support for integration issues at all times.