Redbird AI automates the flow between your cloud data warehouse and streaming platform. Stop manually exporting viewership metrics, building custom ETL for ad performance data, or reconciling streaming analytics across systems.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Pull streaming viewership data, watch time, completion rates, and audience engagement metrics from Pluto into BigQuery tables on schedule. Keep your data warehouse current with FAST platform performance without custom API integration. Enable cross-platform analytics across all streaming properties.
Send refined audience cohorts and behavioral segments from BigQuery analysis back to Pluto for ad targeting and inventory management. Use your warehouse's ML models and unified customer data to improve ad monetization. Close the loop between analytics and activation.
Merge advertising revenue, CPM data, and fill rates from BigQuery with Pluto's streaming impressions and completion data. Build unified reports that show true ROAS across your FAST channels. Automate weekly or daily stakeholder dashboards without manual spreadsheet work.
Monitor ingested Pluto metrics in BigQuery using ML models or statistical thresholds. Trigger notifications when viewership drops, ad fill rates decline, or content performance deviates from expected patterns. Catch platform issues before they impact revenue.
Automatically export complete streaming history, channel lineups, ad pod performance, and viewer behavior from Pluto to BigQuery storage. Retain granular data beyond Pluto's retention windows for trend analysis and forecasting. Build multi-year datasets for strategic planning.
Match anonymous Pluto viewer IDs with known customer profiles, acquisition sources, and lifetime value metrics stored in BigQuery. Append marketing attribution, demographic data, and cross-channel behavior to streaming analytics. Understand which channels drive your most valuable viewers.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and Pluto 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 BigQuery's nested and repeated fields alongside Pluto's streaming event schemas, so you can automate data flows without writing custom transformation logic.
Redbird automatically maps Pluto's viewership events, ad impression logs, and content metadata to your BigQuery table structures. It handles nested streaming telemetry, timestamp normalization across time zones, and the relationship between Pluto's channel IDs, content assets, and ad pods. Whether you're working with partitioned tables optimized for time-series queries or denormalized views for BI tools, Redbird maintains schema compatibility and data integrity across both platforms.
faster than building custom ETL pipelines between BigQuery and Pluto APIs
Redbird can pull from BigQuery and Pluto 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 Pluto.
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 Pluto, or from Pluto 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 new streaming data in Pluto or updated analytical insights in BigQuery—Redbird connects both systems in real time.
Trigger when a scheduled BigQuery query returns new or changed results, like updated audience segments or performance anomalies.
Fire workflows when new records appear in BigQuery tables, such as processed streaming data or ML model predictions.
Start processes when BigQuery export jobs complete, making aggregated data available for downstream systems.
Write Pluto streaming metrics, ad performance data, or enriched viewership events into BigQuery tables or partitions.
Execute BigQuery SQL with dynamic parameters from Pluto events to aggregate metrics or update materialized views.
Modify BigQuery table definitions when Pluto introduces new event fields or content metadata attributes.
Trigger when Pluto records new streaming sessions, watch time milestones, or content completion events.
Fire workflows when Pluto captures ad plays, completions, or VAST events across FAST channel inventory.
Start automations when Pluto channel or on-demand content reaches viewership, engagement, or revenue benchmarks.
Push refined audience segments from BigQuery into Pluto's ad serving system for improved inventory monetization.
Enrich Pluto content catalog with classifications, performance scores, or recommendations derived from BigQuery analysis.
Generate Pluto-specific performance reports using data enriched or calculated in BigQuery, delivered via platform dashboards.
Sync BigQuery with Pluto automatically. Stop building custom data pipelines and start automating streaming analytics, ad performance reporting, and audience activation across your data warehouse and FAST platform.