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  • Product
    • First-party trackingFirst-party tracking

      Powerful server-side solution for collect and connect customer data

    • Marketing ETLMarketing ETL

      Create secure customer’s data pipelines to any data warehouses

  • Resources
    • BlogBlog

      Stories on how to use customer data for company growth

    • DocumentationDocumentation

      Learn how to install, set up, and use Renta tools.

  • Pricing
  • Connectors
Log in
Contact sales
Sign up
Renta
Marketing ETL
Intercom to Google BigQuery

ETL Intercom data to Google BigQuery

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Free for 7 days. No credit card required.

Source
Destination
Renta ELT is a simple way to create data pipelines in minutes. Not months.
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Intercom is a powerful platform for customer communication and support.
Renta Marketing ELT seamlessly transfers your Intercom data to Google BigQuery, enabling advanced analytics and real-time insights for your team.
Enjoy secure, automated data updates and unlock the full potential of your marketing and product analytics.

Set up your ELT pipeline in 3 simple steps

Select Intercom as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Intercom as the data source in Renta.
1Connect your source

Select Intercom as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Intercom as the data source in Renta.
2Identify the destination
3Configure and synchronize
The data structure of the Intercom API

Renta supports 7 methods of data export using the Intercom API.

Contacts

Represents individual users or leads within Intercom. Contains data such as user IDs, email addresses, custom attributes, and engagement history.

Conversations

Captures all interactions between users and your team, including messages, replies, and conversation metadata. Useful for tracking support and engagement activities.

Companies

Represents organizations or business accounts associated with contacts. Includes company names, domains, user associations, and custom attributes.

Messages

Encompasses outbound and inbound messages sent through Intercom, such as email, in-app, and push notifications. Contains message content, delivery status, and recipient details.

Tags

Allows categorization and segmentation of contacts, conversations, or companies. Stores tag names, types, and associations with other objects.

Admins

Represents team members or agents using Intercom. Contains admin IDs, names, roles, and activity information.

Events

Tracks custom events triggered by user actions within your product. Stores event names, timestamps, and associated metadata.

Use cases

Unlock actionable Intercom insights

  • Sync Intercom user events to BigQuery for advanced churn prediction modeling
  • Combine chat transcripts with product usage data to optimize onboarding flows
  • Track support ticket resolution times and correlate with customer retention rates
  • Analyze campaign performance by merging Intercom tags with marketing data in BigQuery
  • Identify upsell opportunities by linking Intercom conversations to purchase history
  • Automate customer health scoring using real-time Intercom and BigQuery insights
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Use cases: Intercom and Google BigQuery integration
TEMPLATES

Start quickly with these use case templates

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Frequently asked questions
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