Sync sales activity and engagement data from Outreach into BigQuery for advanced analytics, then push enriched insights and scoring back to your sales team. Stop manually exporting CSVs, building fragile ETL scripts, or waiting on data teams to update dashboards.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Capture email opens, clicks, replies, and call outcomes from every sequence step into structured BigQuery tables. Build unified sales analytics that combine engagement metrics with product usage, account firmographics, and revenue data already in your warehouse.
Run ML models or scoring queries in BigQuery that combine product telemetry, firmographic data, and intent signals. Automatically update custom fields in Outreach so reps prioritize high-value prospects and tailor messaging based on data-driven insights.
Stream Outreach activity logs, sequence performance, and pipeline progression into BigQuery hourly or daily. Join with CRM, product usage, and support data to create executive dashboards that show true sales efficiency and conversion metrics.
Query BigQuery to identify accounts where Outreach engagement metrics have dropped week-over-week despite active sequences. Automatically flag these accounts in Outreach or send alerts so managers can intervene before deals stall.
Automatically move completed sequence data, closed opportunity activities, and historical touchpoints from Outreach into BigQuery's cost-effective storage. Maintain complete audit trails while keeping Outreach focused on active deals and reducing platform costs.
Detect key product events, usage thresholds, or churn signals in your BigQuery data warehouse. Automatically enroll prospects or customers into targeted Outreach sequences with context-aware messaging that references specific product behaviors and timing.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and Outreach 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 BigQuery's schema structures and Outreach's sales activity model, so you can connect engagement data with your warehouse without writing custom connectors or data pipelines.
Redbird maps Outreach sequences, prospects, touchpoints, and call logs to your BigQuery table schemas automatically. It understands nested prospect fields, sequence step hierarchies, and activity timestamps on the Outreach side, while intelligently handling partitioned tables, nested JSON columns, and joins across your warehouse datasets. Changes to custom fields or new sequence types are detected and adapted without breaking pipelines.
faster than building custom BigQuery loaders and Outreach API scripts
Redbird can pull from BigQuery and Outreach 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 Outreach.
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 Outreach, or from Outreach 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 any BigQuery query result or Outreach activity event, then update records, sync data, or trigger workflows in either system.
Trigger when a scheduled SQL query identifies new records, high-value accounts, or threshold events in your warehouse.
Detect when specific BigQuery tables receive new data from your ETL pipelines or streaming ingestion.
Run when BigQuery ML models generate new lead scores, churn predictions, or propensity scores for prospects.
Write Outreach activity data, engagement metrics, or enriched prospect information into BigQuery tables.
Execute SQL queries to fetch scoring data, segment definitions, or analytics to enrich Outreach records.
Merge or append data into date-partitioned BigQuery tables while maintaining proper partition structure.
Fire when prospects complete sequence steps, enabling analysis of engagement patterns and timing.
Trigger on email replies, link clicks, or other engagement signals captured by Outreach sequences.
Detect when reps log calls or prospects book meetings through Outreach's scheduling features.
Push lead scores, ICP fit signals, or enrichment data from BigQuery into Outreach prospect records.
Enroll prospects into targeted sequences based on product behavior, usage milestones, or predictive signals.
Sync account-level analytics, health scores, or aggregated metrics from BigQuery to Outreach accounts.
Sync BigQuery with Outreach in minutes and automate the data flows between your warehouse and sales execution platform. Start building smarter sales workflows powered by your complete data stack.