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Google BigQuery
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Google BigQuery
1. Choose trigger event
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HubSpot
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HubSpot
2. Choose action
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1. Select the event
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Google BigQuery
Choose a trigger event

Choose a trigger

A trigger is the event that starts your Zap—like a "Query Job Completed (With Row Data)" from Google BigQuery.

Add your action

An action happens after the trigger—such as "Add Contact to List" in HubSpot.

You’re connected!

Zapier seamlessly connects Google BigQuery and HubSpot, automating your workflow.

Supported triggers and actions

Zapier helps you create workflows that connect your apps to automate repetitive tasks. A trigger is an event that starts a workflow, and an action is an event a Zap performs.

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Practical ways you can use Google BigQuery and HubSpot

Track business data trends.

When HubSpot registers a new deal, Zapier updates a corresponding dataset or row in Google BigQuery. This automation enables business owners to monitor real-time sales trends and operational insights without manually synchronizing data between two platforms. It keeps business analytics accurate for better strategy decisions.

Business Owner
Try it
Analyze customer info from prospects.

When new contact information is added or updated in HubSpot, Zapier uploads the data to Google BigQuery for advanced analysis. Data scientists can use this integration to examine customer trends and segmentation efficiently without manual data transfers. This helps maintain real-time insights for crucial business decisions.

Data Science
Analyze lead info for trends.

When new rows are added to a designated table in Google BigQuery (such as one containing marketing lead details), Zapier automatically creates or updates a contact in HubSpot. Marketers can use this data to ensure their CRM is always inclusive of the latest lead data, reducing follow-up delays and ensuring timely outreach.

Marketing & Marketing Ops

Learn how to automate Google BigQuery on the Zapier blog

Learn how to automate HubSpot on the Zapier blog

Make work flow with AI

Level up your Google BigQuery to HubSpot integration with AI. Extract, summarize, and transform your integration data with leading AI models like OpenAI, Anthropic, and more.
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Frequently Asked Questions about Google BigQuery + HubSpot integrations

New to automation with Zapier? You're not alone. Here are some answers to common questions about how Zapier works with Google BigQuery and HubSpot

How do I set up a Google BigQuery to HubSpot integration?

Setting up an integration between Google BigQuery and HubSpot involves using Zapier to connect both platforms. You need to create a Zap that uses Google BigQuery as a trigger and HubSpot as an action. For instance, you can configure a trigger event when a new row is added in BigQuery which then updates or creates a contact record in HubSpot.

What triggers can I use when integrating Google BigQuery with HubSpot?

When integrating with Google BigQuery, you can use triggers such as the 'New Row' or 'Updated Row' in your dataset. These triggers enable us to start workflows that push data from BigQuery into HubSpot automatically.

What actions are available in HubSpot when triggered by Google BigQuery data changes?

Upon detecting changes from Google BigQuery, you can perform actions like creating new contacts, updating existing contact records, or adding notes to existing deals within HubSpot. This ensures that your CRM data stays current with your analytical insights.

Do I need any special permissions to connect Google BigQuery with HubSpot?

Yes, to set up this integration you'll need appropriate permissions on both ends. For Google BigQuery, access rights to view and query the needed datasets are necessary. On the HubSpot side, ensure you have permissions to edit contacts or deals according to your intended actions.

Can I schedule regular data syncs between Google BigQuery and HubSpot?

Yes, our platform supports scheduling regular Zaps that can execute periodically. You can automate the sync frequency based on your needs—whether it’s hourly, daily or weekly updates—to ensure continuous alignment between your analytics and CRM data.

How does data mapping work between Google BigQuery and HubSpot fields?

When setting up the integration, you'll need to map fields from your Google BigQuery dataset to corresponding fields in HubSpot. This mapping is customizable allowing you to match specific columns in your analytics data with CRM attributes such as contact names or email addresses.

Is there a way to handle errors during data transfer from Google BigQuery to HubSpot?

Absolutely! We offer built-in error handling features where you can specify fallback actions if certain conditions aren’t met. You can configure alerts for failed transfers or set retries for transient errors ensuring minimal impact during sync operations.

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About Google BigQuery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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About HubSpot
HubSpot is your all-in-one stop for all of your marketing software needs.
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