Connect BigQuery and
Tubi with AI

Automate the flow of streaming performance data, ad analytics, and audience insights between your cloud data warehouse and FAST platform. Stop manually exporting viewership reports, copying campaign metrics into spreadsheets, or writing custom ETL scripts to sync streaming data with your analytics stack.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Sync Tubi viewership and engagement data into BigQuery data warehouse tables

Automatically pull streaming performance metrics, content completion rates, and engagement data from Tubi into BigQuery tables. Redbird maps viewership sessions, content IDs, and user segments to your warehouse schema, enabling unified analytics across all streaming properties without manual data exports.

Push audience segment definitions from BigQuery to Tubi for targeted ad campaigns

Send refined audience cohorts and viewing pattern segments from your BigQuery analytics directly to Tubi for campaign targeting. Redbird translates SQL-defined segments into Tubi's audience format, enabling data-driven ad placement based on cross-platform viewing behavior and demographic analysis.

Generate automated streaming performance reports combining BigQuery and Tubi metrics

Build comprehensive reports that blend Tubi streaming data with other platform metrics stored in BigQuery. Redbird queries both systems, normalizes timestamps and dimensions, and creates unified dashboards showing content performance, ad revenue attribution, and cross-platform audience overlap.

Alert on streaming anomalies detected in Tubi data analyzed in BigQuery

Monitor Tubi viewership patterns and ad delivery metrics flowing into BigQuery for unusual drops, spikes, or quality issues. Redbird runs scheduled queries on streaming data, detects statistical anomalies in completion rates or buffering events, and triggers alerts when performance thresholds are breached.

Enrich Tubi campaign data with cross-platform attribution models from BigQuery

Augment Tubi ad campaign metrics with multi-touch attribution, customer journey data, and conversion insights stored in BigQuery. Redbird joins streaming ad exposure data with downstream conversion events, calculates incremental lift, and writes enriched attribution back to both platforms for optimization.

Archive historical Tubi streaming and ad inventory data to BigQuery for compliance

Automatically capture and store complete historical records of Tubi content performance, ad impressions, and viewer interactions in BigQuery for long-term analysis and regulatory compliance. Redbird handles incremental loads, deduplication, and partitioning to maintain efficient queryable archives of streaming platform activity.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize BigQuery and Tubi with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird understands both BigQuery's columnar data warehouse structure and Tubi's streaming analytics schema, intelligently mapping viewership events, ad metrics, and audience dimensions between systems.

AI that speaks both streaming platforms and data warehouses

Redbird's AI automatically recognizes Tubi's content IDs, viewing session structures, ad pod configurations, and audience segment formats, then maps them to your BigQuery table schemas, partition strategies, and nested field structures. It handles timestamp normalization between Tubi's event streams and BigQuery's timestamp types, joins streaming metrics with dimensional data, and manages incremental loads without duplicating impression records. The AI understands when to denormalize Tubi's nested viewing data for analytical queries and how to structure fact tables for efficient ad performance attribution.

Streaming event mapping
Ad metric normalization
Audience segment translation
Time-series partitioning
10×

faster than building custom Tubi API integrations and ETL pipelines for BigQuery

No Python scripts, API credential rotation, or manual schema mapping required

Auto-generated reports

Redbird can pull from BigQuery and Tubi simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either BigQuery or Tubi.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from BigQuery into Tubi, or from Tubi back into BigQuery. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start automations from any streaming event in Tubi or any query result in BigQuery—Redbird handles the complexity of keeping both systems in sync.

BigQuery
Triggers & Actions
Trigger

New query results available

Trigger when a scheduled BigQuery query completes and returns new audience segments or analytical insights.

Trigger

Table updated with new rows

Detect when new data is inserted into specific BigQuery tables containing attribution models or enriched customer profiles.

Trigger

Streaming buffer ingestion threshold reached

Fire when real-time streaming inserts into BigQuery reach specified volume for immediate downstream processing.

Action

Execute parameterized SQL query

Run custom SQL queries on BigQuery datasets with dynamic parameters from Tubi campaign metadata.

Action

Insert rows into partitioned table

Write Tubi streaming metrics into date-partitioned BigQuery tables with automatic schema validation.

Action

Create or update ML model training dataset

Generate labeled training datasets in BigQuery combining Tubi viewing patterns with conversion outcomes.

Tubi
Triggers & Actions
Trigger

Campaign performance threshold crossed

Trigger when Tubi ad campaigns exceed or fall below specified viewability, completion, or engagement benchmarks.

Trigger

Content viewing milestone reached

Fire when specific content on Tubi hits view count, watch time, or audience size milestones.

Trigger

New audience segment data available

Detect when fresh demographic or behavioral audience insights become available in Tubi's analytics platform.

Action

Update campaign targeting parameters

Modify Tubi ad campaign audience targeting using refined segments derived from BigQuery analytics.

Action

Create custom audience segment

Define new targetable audiences in Tubi based on viewing patterns and attributes from data warehouse analysis.

Action

Export streaming performance report

Generate and retrieve detailed content performance and ad metrics reports from Tubi for warehouse ingestion.

BigQuery
+
Tubi

Ready to connect your stack?

Stop manually syncing streaming data between Tubi and BigQuery. Let Redbird AI automate your ad analytics workflows, audience targeting, and cross-platform reporting so your team can focus on optimizing content performance and streaming revenue.

Get started → Book a demo