Build segments and run personalized marketing actions with fresh, actionable data.

What is Google BigQuery?

BigQuery is Google Cloud’s flagship data warehouse solution, used by companies to extract value from their data and drive personalized engagement. It’s built for speed and scale, allowing data teams to run complex queries on billions of rows in seconds. BigQuery often becomes the single source of truth for user data — web events, CRM history, transactions, predictive scores — which can then be activated in tools like Batch through Reverse ETL platforms such as Hightouch.

The Value of Google BigQuery

BigQuery offers high performance, scalability, and seamless integration with Google’s ecosystem (including Looker, Vertex AI, and Google Ads). Brands rely on it to build granular segments, analyze campaign performance in real time, and feed machine learning models. Centralizing customer data in BigQuery also reduces duplication, streamlines data governance, and accelerates campaign execution across channels.

Why connect Google BigQuery with Batch?

By connecting BigQuery to Batch, marketing teams can activate fresh, trusted data to power advanced customer engagement strategies. Using a Reverse ETL tool like Hightouch, marketers can sync behavioral events, churn scores, or product preferences directly from BigQuery to Batch. This enables real-time personalization across push, email, or in-app — such as triggering a push notification after a predictive churn signal, or adapting a reactivation message based on RFM scores.

How to connect Google BigQuery with Batch?

You can integrate Batch x BigQuery using either direct integration or a composable CDP/reverse ETL tool. Simply connect BigQuery as the data source, create a synchronisation model (e.g. a customer segment) and then map it to the Batch user attributes.

Contact our teams to set up the optimal data flows.