Stop exporting streaming performance CSVs and manually loading viewership data into your warehouse. Redbird AI syncs Tubi's ad inventory, audience engagement, and content metrics directly to Redshift—so your analytics team can focus on insights, not data pipeline maintenance.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically stream viewer session data, watch time, completion rates, and engagement metrics from Tubi into your Redshift warehouse. Keep historical viewing patterns up-to-date for trend analysis and audience segmentation without manual ETL jobs.
Pull ad impression data, fill rates, CPM performance, and advertiser metrics from Tubi into structured Redshift tables. Enable cross-platform revenue analysis by combining streaming ad data with your other monetization sources.
Capture every content addition, removal, and metadata update from Tubi's library and store it in Redshift. Build a complete historical record of catalog evolution to inform content strategy and licensing decisions.
Use your centralized audience profiles, purchase history, and segmentation models in Redshift to enhance Tubi's viewer data. Create richer audience cohorts that combine streaming behavior with broader customer intelligence for better ad targeting recommendations.
Monitor streaming metrics aggregated in Redshift and trigger notifications when viewership drops, engagement patterns shift, or ad fill rates fall below thresholds. Catch performance issues before they impact revenue.
Query aggregated Tubi metrics in Redshift, transform them into executive-ready summaries, and distribute reports to stakeholders. Eliminate manual SQL queries and spreadsheet updates for daily streaming performance reviews.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Redshift and Tubi 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 Redshift's columnar storage patterns and Tubi's streaming event schemas—so you can automate complex analytics workflows without writing custom integrations.
Redbird maps Tubi's viewer sessions, content metadata, and ad events to optimized Redshift table structures automatically. It handles data type conversions, manages sort and distribution keys for query performance, and understands time-series patterns in streaming data. The AI adapts to your existing Redshift schema conventions while normalizing Tubi's nested event payloads—no custom transformation scripts required.
faster than building custom Tubi-to-Redshift ETL pipelines with Lambda and Glue
Redbird can pull from Redshift and Tubi 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 Redshift or Tubi.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Redshift into Tubi, or from Tubi back into Redshift. 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 warehouse query results or streaming platform events—Redbird connects both directions.
Fire when a scheduled Redshift query detects new rows matching your criteria, like audience segments ready for activation.
Trigger when aggregated metrics in Redshift exceed or fall below defined boundaries, such as total daily viewership targets.
Detect when specific Redshift tables receive new data loads, indicating fresh analytics inputs are available.
Write Tubi viewership data, ad performance, or content events directly into Redshift fact or dimension tables.
Modify Redshift tables that define viewer cohorts based on fresh streaming behavior patterns from Tubi.
Run parameterized Redshift queries on Tubi data and route results to downstream reporting or activation systems.
Fire when new movies, shows, or episodes are added to Tubi's streaming library for warehouse tracking.
Trigger when content hits view count thresholds, completion rate targets, or engagement benchmarks on the platform.
Detect when ad slots open up, fill rates shift, or inventory allocation changes across Tubi's programming.
Pull viewer session data, watch time summaries, and retention statistics for specific content or time periods.
Extract impression counts, CPM rates, advertiser spend, and campaign performance from Tubi's ad platform.
Get current content library details, genre classifications, licensing windows, and availability status from Tubi.
Join data teams who've eliminated manual streaming analytics workflows. Connect Redshift and Tubi with Redbird AI and turn streaming data into warehouse-ready insights automatically.