Redbird AI syncs your Intercom conversation data directly into Looker for real-time support analytics. Stop exporting CSVs, writing custom scripts, or waiting on engineering to surface customer interaction trends.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically stream conversation metadata, resolution times, CSAT scores, and agent activity from Intercom into your data warehouse. Build Looker dashboards that show support volume trends, average response times by team, and customer satisfaction metrics without manual exports.
Pull live Intercom ticket status, assignment, and timestamp data into Looker models. Create executive reports showing SLA compliance, open ticket aging, and resolution rate trends across product lines or customer segments.
Combine Intercom interaction data with product usage and revenue metrics in Looker. Surface which high-value accounts have open support issues, identify churn risk from support conversation patterns, and analyze feature request trends by customer tier.
Continuously sync Intercom messages, tags, and metadata to your warehouse for retention beyond Intercom's limits. Build year-over-year support trend analyses, seasonal volume forecasting models, and historical CSAT tracking in Looker.
Monitor support metrics in Looker and trigger Intercom notifications when thresholds are breached. Automatically message team leads in Intercom when open ticket counts spike, average response times exceed targets, or CSAT drops below benchmarks.
Generate Looker reports summarizing key support metrics and automatically deliver them via Intercom messages to team workspaces. Surface top-performing agents, busiest support hours, most common conversation topics, and resolution rate trends without manual report compilation.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Intercom and Looker 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 Intercom's conversation structure and Looker's LookML modeling layer to automate support data pipelines without custom ETL code.
Redbird maps Intercom's conversation objects, user attributes, tag taxonomies, and CSAT responses to Looker-ready schemas in your warehouse. Our AI recognizes when to join conversation metadata with user profiles, how to calculate support metrics like first response time and resolution rate, and which fields to dimension for self-serve exploration. You get clean, queryable support data modeled to Looker best practices without writing transformation logic.
faster than building custom Intercom API connectors and warehouse transformation pipelines
Redbird can pull from Intercom and Looker 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 Looker.
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 Looker, or from Looker 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 conversation event in Intercom or query result in Looker.
Fires when a support conversation is marked as closed in Intercom.
Triggers when a customer submits a satisfaction rating for a conversation.
Activates when a specific tag is applied to an Intercom conversation.
Add internal notes to Intercom conversations with data from other systems.
Modify Intercom user profile fields based on analytics insights or external data.
Post alerts or reports to specific Intercom team inboxes for visibility.
Fires when a Looker scheduled Look or dashboard delivery runs successfully.
Triggers when a monitored KPI in Looker exceeds or falls below a defined threshold.
Activates when new data appears in a saved Looker Explore query.
Execute a saved Looker Look and retrieve the data for downstream processing.
Modify dimension definitions or filters in Looker models programmatically.
Deliver specific Looker dashboards to users or channels based on trigger conditions.
Start syncing Intercom conversation data to Looker in minutes. Redbird AI handles the mapping, transformations, and ongoing sync so your team can focus on support insights, not data engineering.