Sync customer conversations, support metrics, and messaging engagement data from Intercom directly into Snowflake. Stop manually exporting CSVs or writing brittle API scripts to analyze your support data at scale.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically capture every customer conversation, message event, and thread update from Intercom into structured Snowflake tables. Redbird handles schema evolution as Intercom adds new conversation attributes or message types, so your pipeline never breaks.
Combine Intercom conversation metrics, CSAT scores, first response times, and resolution rates with product usage and revenue data in Snowflake. Create cross-functional dashboards that show how support quality impacts retention and expansion.
Automatically move closed conversations, user messages, and admin notes from Intercom into Snowflake for permanent retention. Maintain searchable archives beyond Intercom's retention limits while reducing platform storage costs.
Push customer tier, product usage scores, expansion risk flags, and behavioral segments calculated in Snowflake back into Intercom user attributes. Give support teams instant context about account value and health during every conversation.
Query aggregated conversation data in Snowflake to identify unusual support patterns—like 3× normal ticket volume for a specific feature or customer segment. Automatically alert product and support leads in Slack or email when thresholds are crossed.
Capture every AI chatbot interaction, resolution attempt, and handoff event from Intercom's automation layer. Use this data in Snowflake to train better intent models, measure automation ROI, and identify gaps in your help content.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Intercom and Snowflake 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 understands Intercom's conversation objects, user attributes, and event streams—and how to map them into Snowflake's structured schemas without losing fidelity.
Redbird automatically maps Intercom's nested conversation objects, custom user attributes, tag hierarchies, and event metadata into clean Snowflake tables. When Intercom's schema changes—like adding new conversation parts or admin fields—Redbird detects the drift and updates your warehouse schema without pipeline breakage. You get properly typed columns, automatic deduplication on conversation IDs, and incremental syncs that only move changed records.
faster than building custom Intercom-to-Snowflake ETL with API pagination and rate limit handling
Redbird can pull from Intercom and Snowflake 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 Snowflake.
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 Snowflake, or from Snowflake 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 any query result in Snowflake—Redbird handles the rest.
Fires when a user starts a new conversation via live chat, email, or in-app messenger.
Triggers when an admin closes a conversation or it's automatically marked as resolved.
Activates when a customer submits a satisfaction rating for a conversation.
Add or modify custom attributes on an Intercom user record, like account tier or product usage score.
Apply a specific tag to a conversation for categorization or routing purposes.
Post an internal note to a conversation thread with context or data from other systems.
Fires when a scheduled SQL query in Snowflake returns results that weren't present in the previous run.
Triggers when a specific Snowflake table crosses a defined row count, useful for monitoring data volume.
Activates when a validation query detects null values, duplicates, or out-of-range values in critical columns.
Write new records into a Snowflake table or update existing rows based on a merge key.
Run any SQL statement in Snowflake—useful for triggering stored procedures or data transformations.
Add new columns or modify data types in a Snowflake table based on upstream schema changes.
Sync Intercom conversations and support data into Snowflake automatically—no custom scripts or manual exports. Start building a unified support analytics warehouse today.