Why you should automate with Google BigQuery

target marketing efforts

target marketing efforts
get customer insights
build market intelligence
share reports instantly

Why these integrations and automations matter:

Get teams aligned on your leads by integrating BigQuery with other sources of marketing data. This integration lets you sync data and insights across your business for a 360-degree view. It also lets you trigger marketing campaigns based on lead data, like product usage statistics.
Sync lead data

It’s a lot easier to get aligned as an organization when everyone’s looking at the same numbers. Integrate BigQuery with MAPs like Salesforce and Marketo to sync lead entries and combine data for more comprehensive reports
Enrich your leads

Integrate BigQuery with powerful sources of truth about your leads, like Clearbit and Hubspot, to deliver lead insights from data storage straight to sales.
Trigger marketing campaigns

Marketing messages usually resonate better with some leads than others. Target your marketing to each lead by automatically triggering certain campaigns based on, for example, product usage data from BigQuery.

Do everything in one place

Customize your Google BigQuery integration with the following triggers and actions.

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About Google BigQuery Integrations

To make agile business decisions, you need access to good data. A cloud database lets you secure and organize your data, so you have the insights you need to make fast decisions.

Google BigQuery is an analytic data warehouse that lets you house all your critical data on one streamlined platform. It includes features, like a proprietary SQL database engine, to help you find your files in the cloud.

Google BigQuery can also do much more. With Workato, you can integrate it with all your applications to automate file storage, database management, SQL queries, and data insights.

How you can integrate Google BigQuery

Immediately access cloud data.
Use a single platform for all your cloud data.
Guide your decisions with data.
Gain more time to manage data while spending less time on infrastructure management.