Redbird AI automates the data pipeline between your warehouse and advertising platform. Stop manually exporting audience lists, building custom attribution reports, and copying performance data between systems. Let AI sync customer segments, optimize campaigns with warehouse insights, and centralize ad metrics in BigQuery.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically identify and push audience segments based on purchase history, LTV scores, or behavioral patterns stored in BigQuery directly to Meta Ads as custom audiences. Update audience membership daily or in real-time as warehouse data changes. Eliminate CSV exports and manual audience uploads.
Pull daily ad spend, impressions, conversions, and creative performance from Meta Ads into BigQuery tables automatically. Join advertising metrics with CRM, product, and revenue data for complete attribution analysis. Keep historical campaign data centralized and queryable.
Send post-purchase events, subscription renewals, or in-store conversions from BigQuery back to Meta's Conversions API to close the attribution loop. Match warehouse customer records to Meta user IDs and feed conversion values for ROAS optimization. Improve campaign learning with complete funnel data.
Run custom attribution logic in BigQuery that factors in multi-touch conversions and LTV, then automatically pause or adjust Meta campaigns that don't meet warehouse-calculated efficiency thresholds. Move beyond platform-reported ROAS to data-driven budget allocation. Trigger campaign changes based on your own models.
Query BigQuery to join Meta campaign performance with Shopify orders, Stripe payments, or internal sales systems, then automatically distribute reports to Slack or email. Calculate true customer acquisition cost using warehouse-level cost allocation. Eliminate manual spreadsheet reconciliation between ad spend and revenue.
Monitor Meta Ads spend data flowing into BigQuery and trigger alerts when daily budgets exceed thresholds, CPC spikes unexpectedly, or conversion rates drop below historical baselines. Run statistical anomaly detection on warehouse data rather than relying on platform alerts. Route notifications to relevant team members based on campaign ownership.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and Meta Ads 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 understands BigQuery table schemas and Meta Ads audience structures, so you can automate complex data flows without writing transformation code or managing API credentials.
Redbird reads your BigQuery schema—customer tables, event streams, ML model outputs—and understands Meta's audience format requirements, custom conversion structure, and API constraints. The AI handles field mapping between warehouse columns and Meta audience attributes, deduplicates user identifiers, and formats hashed PII correctly. You describe the segment logic in plain language; Redbird generates the SQL, applies the transformations, and syncs to Meta with proper rate limiting and error handling.
faster than building custom ETL pipelines between BigQuery and Meta Ads APIs
Redbird can pull from BigQuery and Meta Ads 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 Meta Ads.
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 Meta Ads, or from Meta Ads 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 any query result in BigQuery or campaign event in Meta Ads—Redbird handles the integration logic.
Trigger when a scheduled BigQuery query identifies new records, such as customers crossing an LTV threshold or products meeting restock criteria.
Detect when specific BigQuery tables grow or shrink beyond expected ranges, indicating data pipeline issues or audience size shifts.
Start workflows immediately after nightly aggregation jobs, ML scoring runs, or attribution model updates finish in BigQuery.
Write new records into BigQuery tables, such as logging Meta campaign actions, storing audience sync timestamps, or archiving ad creative metadata.
Run BigQuery SQL with dynamic parameters pulled from Meta Ads data, like filtering customer segments based on campaign IDs or ad set performance.
Create materialized views of joined Meta and internal data, or export query results to Cloud Storage for downstream reporting systems.
Trigger when daily or lifetime spend on a Meta campaign crosses a defined budget limit, enabling immediate budget reallocation or alerts.
Detect when ROAS, CTR, or conversion rate for an ad set falls below benchmarks, prompting analysis or automatic campaign adjustments.
Start workflows when Meta registers conversions through the pixel or Conversions API, such as purchases, leads, or app installs.
Push customer lists from BigQuery into Meta as custom audiences, or update existing audiences with refreshed segment membership.
Post conversion events to Meta's Conversions API with server-side data from BigQuery, including transaction values, order IDs, and customer matching.
Automatically control campaign status based on BigQuery analysis—pause low-performers, restart winners, or adjust budgets programmatically.
Sync BigQuery with Meta Ads in minutes. Redbird AI handles the data mapping, API authentication, and transformation logic so your team can focus on campaign strategy, not pipeline maintenance.