Sync your CRM data to your data warehouse and enrich HubSpot contacts with insights from BigQuery—automatically. Stop manually exporting CSVs, writing custom ETL scripts, or waiting on engineering to update dashboards every time marketing needs fresh pipeline data.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically replicate your HubSpot CRM data into BigQuery for centralized analytics. Keep contact properties, deal stages, email engagement, and form submissions in sync without building custom pipelines. Join CRM data with product usage, support tickets, and revenue data for complete customer intelligence.
Calculate product engagement scores, feature adoption metrics, or customer health indicators in BigQuery and push them back to HubSpot contact properties. Sales and marketing teams see real-time usage data directly in contact records without jumping between systems. Trigger workflows based on behavioral signals from your data warehouse.
Sync actual revenue events, subscription activations, or payment confirmations from BigQuery back to HubSpot deals. Keep sales pipeline stages aligned with financial reality. Automatically close deals when your warehouse detects contract signatures or first payments, eliminating manual updates.
Build sophisticated customer segments in BigQuery combining CRM, product, support, and billing data, then materialize them as active HubSpot lists. Target campaigns using warehouse-grade segmentation logic that considers lifetime value, feature usage, support interactions, and renewal probability all at once.
Combine HubSpot sales pipeline snapshots with conversion rates, historical win patterns, and revenue data stored in BigQuery. Automatically generate executive pipeline reports that blend CRM forecasts with statistical modeling. Deliver insights on deal velocity, stage conversion trends, and revenue projections without manual spreadsheet work.
Monitor product usage, login frequency, or feature engagement in BigQuery and create HubSpot tasks when enterprise contacts show declining activity. Surface churn signals from your warehouse directly into sales workflows. Give account teams actionable alerts based on behavioral data, not just CRM activity.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and HubSpot 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 BigQuery table schemas and HubSpot object structures so you can sync CRM data to your warehouse and push analytical insights back to sales and marketing teams.
Redbird maps HubSpot contacts, companies, deals, and engagement objects to BigQuery tables automatically—no manual field mapping required. It recognizes custom HubSpot properties, nested deal stages, and association tables, then structures them as analytics-ready schemas in your warehouse. When pushing data back, Redbird validates data types, respects HubSpot property field types, and handles picklist values intelligently. Tell Redbird to sync pipeline data or enrich contacts, and it figures out the schema transformations.
faster than building custom ETL pipelines between HubSpot API and BigQuery
Redbird can pull from BigQuery and HubSpot 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 BigQuery or HubSpot.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from BigQuery into HubSpot, or from HubSpot back into BigQuery. 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 BigQuery query results or HubSpot CRM events, then take action in either system.
Trigger when a scheduled BigQuery query identifies new records matching your criteria.
Detect inserts, updates, or deletes in specific BigQuery tables or datasets.
Fire when a calculated metric from BigQuery exceeds or falls below a defined threshold.
Write new records to BigQuery tables with proper schema validation and partitioning.
Merge or update rows in BigQuery tables based on key matching logic.
Execute SQL queries in BigQuery with dynamic parameters from workflow context.
Trigger when specific contact properties change, like lifecycle stage or lead score.
Fire when a deal moves to a new pipeline stage or is marked closed-won.
Detect new form submissions or landing page conversions in HubSpot.
Add new contacts to HubSpot or update existing contact properties with warehouse data.
Enroll contacts in static or active HubSpot lists based on BigQuery segment logic.
Assign follow-up tasks to contact or deal owners based on analytical triggers from BigQuery.
Sync BigQuery with HubSpot in minutes. Stop building custom integrations and start automating the data work between your warehouse and CRM.