Sync social listening data to your warehouse and enrich mentions with business context automatically. Stop exporting CSVs, manually joining sentiment data with customer records, or rebuilding social analytics dashboards every week.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically capture brand mentions, sentiment scores, and engagement metrics from Brandwatch and load them into BigQuery. Join social data with CRM, product usage, and transaction data to build a complete view of customer perception and behavior.
Match social media authors to known customers in your warehouse and push segmentation, lifetime value, and product ownership data back to Brandwatch. Enable social teams to prioritize responses based on customer tier and context.
Pull sentiment trends and conversation volume from Brandwatch, combine with campaign spend, product launches, and revenue metrics from BigQuery, and generate comprehensive brand health reports. Automate weekly or monthly reporting workflows that previously required manual data assembly.
Monitor Brandwatch sentiment shifts and automatically query BigQuery for corresponding anomalies in product returns, support tickets, or transaction volumes. Route intelligent alerts to product and comms teams with full context.
Continuously sync Brandwatch historical mentions, sentiment scores, and topic data to BigQuery for retention beyond platform limits. Enable multi-year trend analysis and train ML models on complete social conversation history.
Automatically create or update Brandwatch monitoring queries when your data warehouse registers new product SKUs, campaign codes, or brand entities. Keep social listening aligned with your actual business activity without manual query management.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and Brandwatch 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 Brandwatch's social intelligence schema and BigQuery's analytical structures, intelligently mapping mentions to events, sentiment to metrics, and conversation data to warehouse tables.
Redbird automatically maps Brandwatch mention objects, sentiment scores, author profiles, and topic clusters to BigQuery table schemas. The AI handles timestamp normalization across time zones, deduplicates mentions across query updates, flattens nested conversation threads into analyzable rows, and joins social authors to customer IDs using fuzzy matching. No need to write custom ETL scripts or maintain fragile API connectors.
faster than building custom Brandwatch API pipelines to BigQuery
Redbird can pull from BigQuery and Brandwatch 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 Brandwatch.
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 Brandwatch, or from Brandwatch 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 from any social listening event in Brandwatch or any query result in BigQuery and automate what happens next.
Fires when a scheduled BigQuery query completes with new result data.
Triggers when a specific table grows beyond a defined number of rows.
Activates when a batch of streaming inserts successfully writes to a table.
Append new rows to a BigQuery table with automatic schema validation.
Run a SQL query with dynamic parameters and return results.
Build or refresh a table using structured data from external sources.
Fires when Brandwatch detects new social mentions matching saved query criteria.
Triggers when sentiment score changes significantly over a defined time window.
Activates when brand mention volume crosses competitive benchmark levels.
Build new monitoring queries or modify existing search parameters programmatically.
Classify mentions with custom tags based on external data or business rules.
Route specific mentions to users or groups for review and response.
Join social intelligence with your data warehouse and stop manually bridging the gap between brand perception and business metrics. Redbird AI connects BigQuery and Brandwatch in minutes, not months.