Sync BigQuery to Google Analytics

Google Analytics gives you the tools you need to better understand your customers. You can then use those business insights to take action, such as improving your website, creating tailored audience lists, and more.

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BigQuery

Integration in Four Steps

Step 1: Connect BigQuery

Connect BigQuery with standard API, ODBC and JDBC credentials.

Step 2: Connect Google Analytics as a destination

You can connect to Google Analytics with the standard Google OAuth flow and match data to your Google Analytics Custom Data Imports

Step 3: Define the core data that matters for your business

Write a SQL Statement. Select the records you want to sync from BigQuery. Census will match records based on the unique identifier you provide (like email or ID).

Step 4: Schedule your sync

Choose your sync frequency with options to transfer data in real time, on a schedule, or triggered via our API.

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Where can you sync your BigQuery in Google Analytics?

Click Conversion API

You can use the Google Ads API to upload offline click conversions into Google Ads, mapping to the Uploads conversion source in the Google Ads UI, followed by Conversions from clicks. It gives you more flexibility in associating clicks with conversions. You can track ads that led to sales in the offline world, such as over the phone or through a sales rep.

API Docs

Offline user data job

A job containing offline user data of store visitors, or user list members that will be processed asynchronously. The uploaded data isn't readable and the processing results of the job can only be read using GoogleAdsService.Search/SearchStream.

API Docs

A single source of truth in all your tools

Census is the easiest way to share a consistent view of your data across your entire business. Define your models, metrics, and business logic in your data warehouse and sync them to all your operational tools.

  • Create trust in consistent metrics
  • Automate confidently with clean data
  • Simplify your data integration strategy
  • Improve data security and visibility

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docker
bill
health-union
algolia
mixpanel
drizly
invision
rippling
Zip logo
figs

Advantages of Census

Build once. Reuse everywhere.

Once you define your models in dbt or in Census, you can sync them to all of the tools, so every team is using the same data to achieve their goals.

No more CSV files & Python scripts

Focus on building a data stack and improving data quality, not writing custom code to integrate with Sales & Marketing tools. Census takes care of getting the data into the hands of your business team. No Engineering favors required.

It just works. At scale.

Whether you sync 100 records or 100 million, we will keep your data in sync across your warehouse and your business tools. Census automatically navigates API failures and monitoring keeps you aware of worst case scenarios.

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Data Activation Use Cases

Syncing from BigQuery

BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence. BigQuery is a data analytics platform that provides you a complete unified view of all your important business and customer data where you can get valuable business insights.

Now you can use the data in BigQuery for more than just analytics and BI. With Amazon BigQuery you can operationalize your data across your entire customer data stack.

Learn how to use Census with 👉 our BigQuery docs

Syncing to Google Analytics

Google Analytics gives you the tools you need to better understand your customers. You can then use those business insights to take action, such as improving your website, creating tailored audience lists, and more.

Learn how to use Census with 👉 our Google Analytics docs

Census connects to BigQuery and syncs data to Google Analytics. With 200+ integrations (and counting!) and transparent pricing, it's never been easier to start operationalizing your data. This is what we like to call Reverse ETL.
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