Redbird AI syncs your social listening data from Brandwatch directly into Looker for real-time brand intelligence dashboards. Stop exporting CSVs, manually joining sentiment data, and rebuilding reports every time your team needs fresh social insights.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically push Brandwatch sentiment scores, topic clusters, and mention volumes into your Looker data warehouse. Redbird structures unstructured social data into normalized tables that match your semantic layer, so brand health metrics update without manual exports or ETL jobs.
Merge Brandwatch conversation data with sales, campaign, and customer data already in Looker. Redbird maps sentiment trends to your existing date dimensions and customer segments, enabling unified reporting that shows how brand perception correlates with business performance.
Schedule recurring exports of Brandwatch competitor analysis into Looker Explores that your comms team can self-serve. Redbird structures share-of-voice data by brand, channel, and time period so stakeholders can slice competitive intelligence without waiting for analyst support.
When new campaign mentions appear in Brandwatch, Redbird calculates aggregated sentiment and pushes scored data into Looker tables tied to campaign IDs. Marketing teams see how audience reception evolves alongside reach and conversion metrics in a single view.
When product launch milestones hit thresholds in your Looker dashboards, Redbird automatically creates or updates Brandwatch queries to track mentions and sentiment. Ensures your social monitoring adapts to business events without manual query management.
Continuously export Brandwatch mention archives into your data warehouse with full text, metadata, and sentiment annotations. Redbird maintains schema consistency as Brandwatch's data model evolves, so you can analyze years of social intelligence through Looker's semantic layer.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Brandwatch 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 both Brandwatch's social listening taxonomy and Looker's semantic modeling layer, so your social intelligence flows into governed metric definitions automatically.
Redbird maps Brandwatch's conversation fields, sentiment taxonomies, author profiles, and topic clusters into Looker dimensions and measures that align with your existing data model. Our AI normalizes unstructured mention data into clean fact tables, joins sentiment scores to your customer and product dimensions, and generates LookML views that respect your naming conventions and grain. When Brandwatch schema changes or new sentiment categories appear, Redbird adapts your pipeline without breaking downstream dashboards.
faster than building custom ETL for social listening data
Redbird can pull from Brandwatch 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 Brandwatch 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 Brandwatch into Looker, or from Looker back into Brandwatch. 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 event in Brandwatch or Looker, and let Redbird handle the transformation logic between social listening and analytics systems.
Fires when conversation volume for tracked queries surpasses defined levels in any time window.
Triggers when net sentiment or emotion scores move above or below configured thresholds.
Activates when Brandwatch detects emerging topics or conversation clusters in monitored channels.
Programmatically build new queries or modify existing Boolean logic and filters in Brandwatch projects.
Apply structured tags or classifications to specific mentions based on content or sentiment criteria.
Pull filtered mention sets with full metadata, author details, and sentiment annotations for specific date ranges or topics.
Fires when Looker executes scheduled content delivery for reports, alerts, or data actions.
Triggers when business KPIs hit defined boundaries in scheduled queries or real-time data checks.
Activates when fresh rows appear in tables Looker queries, enabling event-driven workflows from upstream sources.
Insert or update rows in your cloud data warehouse that Looker models can immediately query through persistent derived tables.
Programmatically create dimension and measure definitions that integrate new data sources into your semantic layer.
Trigger incremental or full rebuilds of persistent derived tables to update dashboard performance layers with new data.
See how Redbird AI syncs Brandwatch social intelligence into Looker dashboards without custom ETL. Connect your tools and start automating social listening workflows in minutes.