Import your Intercom data to Google BigQuery

Import your data from Intercom to Google BigQuery - Blendo.co

Easily ETL your Intercom data into Google BigQuery

With Blendo Intercom integration, it is easy to import Intercom data into Google BigQuery to get more answers about your customers and customer success efforts. Drill down to your data from subscribers and their communication, find out how customers behave, what feedback do they provide and what it means in revenue.

Use Cases

As soon as your Intercom data is synced into Google BigQuery here are some ways you can use it.

CUSTOMER SUPPORT PERFORMANCE AND CUSTOMER RETENTION

Calculate how many messages each of our customers has exchanged with our customer support. Which customer interacted most? What is my customer retention?

HELPDESK AND COST OPTIMIZATION

Find out if the customers that pay more are engaged or create support tickets. Combine data from sources like customer success, customer support, and billing.

CUSTOMER SUCCESS AND MARKETING

Combine data from other sources like analytics and marketing. Uncover the funnel of your customers that converts better and earns you revenue.

How to get started with Intercom and Google BigQuery data integration

Loading your Intercom data into Google BigQuery is easy. First, you need to connect Google BigQuery as a Destination data warehouse. Then add Intercom as a Data Source. It will take three minutes to set it up. Next, Blendo will import any information from Intercom and load it into your Google BigQuery data warehouse.

Connect Google Big Query

Connect Google Big Query

Connect Intercom as Data Source

Connect Intercom as Data Source

We will load all your Intercom data

We will load all your Intercom data

Read more on how you can use your Intercom data after you have them in your data warehouse.

Detailed Documentation

Check our documentation on how to setup Intercom integration as a Data Source and start syncing your customer success data to Google BigQuery.

Check our documentation on how to connect Google BigQuery as a Data warehouse destination and start loading your data in minutes.