Sync customer conversation data, support metrics, and interaction history from Intercom directly into Redshift. Stop writing custom ETL scripts to export chat transcripts, tag CSVs, or building fragile API integrations to centralize support analytics.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically flow completed support conversations into Redshift with full metadata including tags, assignment, resolution time, and satisfaction ratings. Build historical support analytics without manual exports or batch jobs.
Stream full conversation bodies, customer attributes, and interaction history into Redshift for long-term storage and text analysis. Enable product and CX teams to query support conversations at scale alongside product usage data.
Push conversation volume, first response time, resolution rates, and agent activity into Redshift as events occur. Power live BI dashboards and executive reporting without waiting for daily exports or API polling.
Pull customer lifetime value, feature adoption scores, or subscription tier from your Redshift analytics tables back into Intercom user profiles. Give support agents full customer context without switching between tools.
Monitor Redshift for newly opened Intercom conversations tagged with critical issues from enterprise customers. Route notifications to Slack or PagerDuty based on account data only available in your warehouse.
Apply ML-based tags or priority scores from your Redshift analytics environment back to active Intercom conversations. Automate conversation routing and sentiment classification using your custom models.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Intercom and Redshift with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird AI understands both Intercom's conversation schema and Redshift's table structures, handling nested message arrays, user attributes, and timezone conversions automatically.
Redbird maps Intercom's nested conversation parts, admin assignments, and tag arrays into clean Redshift table structures ready for analytics. It handles conversation state changes, backfills historical messages, and automatically flattens user custom attributes into queryable columns. No need to write JSON parsing logic or manage incremental sync cursors—Redbird translates between Intercom's API structure and your warehouse schema intelligently.
Faster than building custom Intercom-to-Redshift ETL pipelines
Redbird can pull from Intercom and Redshift simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Intercom or Redshift.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Intercom into Redshift, or from Redshift back into Intercom. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from any Intercom conversation event or Redshift query result and take action across your entire stack.
Fires when a support conversation is marked as closed with resolution metadata.
Triggers when a customer initiates a new support conversation via any channel.
Activates when a customer submits a satisfaction rating for a conversation.
Applies a specified tag to an existing Intercom conversation programmatically.
Modifies custom data fields on an Intercom contact or company record.
Routes a conversation to a specific Intercom team or admin for handling.
Fires when a scheduled SQL query in Redshift returns results meeting specified conditions.
Triggers when a Redshift table exceeds a defined row count or growth rate.
Activates when validation queries detect null values, duplicates, or schema issues.
Writes new records into a specified Redshift table with column mapping.
Modifies rows in a Redshift table based on key matching and field updates.
Executes a custom SQL statement for transforms, aggregations, or data cleanup.
Stop building custom pipelines to sync Intercom conversations into Redshift. Connect your support data to your analytics warehouse in minutes and start building the dashboards your team actually needs.