Automate the flow between your enterprise data warehouse and Pinterest campaigns. Stop manually exporting audience segments, copying conversion data into spreadsheets, or waiting on engineering to sync campaign performance into your analytics stack.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically push audience segments built in BigQuery directly to Pinterest Ads as custom audiences. Update lists daily based on purchase behavior, lifetime value, or engagement scores without CSV exports or manual uploads.
Stream Pinterest Ads metrics—spend, impressions, clicks, conversions—directly into BigQuery tables. Join with Google Ads, Meta, and CRM data to build unified attribution models and dashboards.
Match Pinterest conversion pixels with BigQuery customer data to append LTV, product affinity, and purchase history. Feed enriched conversion data back to Pinterest for better campaign optimization and ROAS tracking.
Monitor product inventory tables in BigQuery and automatically pause or adjust Pinterest shopping campaigns when stock falls below thresholds. Prevent wasted ad spend on out-of-stock items without manual campaign management.
Combine Pinterest campaign data with BigQuery ML forecasts to generate automated reports showing actual performance against predicted outcomes. Surface anomalies, trend shifts, and optimization opportunities without manual analysis.
Calculate customer acquisition cost benchmarks in BigQuery using historical data across all channels. Trigger alerts when Pinterest campaign CAC drifts outside acceptable ranges, enabling immediate optimization.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and Pinterest 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's nested schema patterns and Pinterest's audience matching requirements, so your data flows correctly without constant schema mapping or API troubleshooting.
Redbird automatically maps BigQuery column types to Pinterest audience fields—matching emails, MAIDs, and hashed identifiers without manual field mapping. It handles Pinterest's async audience processing, retry logic, and match rate feedback while maintaining referential integrity with your warehouse tables. Query nested and repeated fields in BigQuery, transform them to Pinterest's flat structure, and sync incrementally based on your warehouse's partition strategy.
faster than building BigQuery-to-Pinterest pipelines with custom scripts and schedulers
Redbird can pull from BigQuery and Pinterest 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 Pinterest 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 Pinterest Ads, or from Pinterest 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 workflows from any query result in BigQuery or campaign event in Pinterest Ads—no engineering backlog required.
Fire when a scheduled query identifies new records matching criteria like high-value customers or churn risk.
Trigger when daily or hourly partitions receive new data, enabling near-real-time audience refreshes.
Activate workflows when BigQuery ML predictions exceed confidence or value thresholds for targeting.
Store Pinterest performance data or enriched conversion events in specified BigQuery tables with partitioning.
Run BigQuery SQL with dynamic parameters from Pinterest events like campaign IDs or conversion timestamps.
Insert Pinterest metrics into BigQuery's streaming API for real-time dashboard updates and alerting.
Fire when daily or lifetime Pinterest campaign spend crosses defined budget limits.
Trigger when Pinterest tracks a conversion, enabling enrichment with warehouse data before attribution.
Activate when uploaded custom audiences match below acceptable rates, indicating data quality issues.
Push audience lists from BigQuery to Pinterest as targetable custom audiences with automatic hashing.
Change Pinterest campaign status based on inventory levels, performance metrics, or business rules in BigQuery.
Adjust Pinterest campaign daily budgets dynamically based on ROAS calculations or forecasts from BigQuery.
Join teams using Redbird to sync BigQuery with Pinterest Ads automatically. Stop building and maintaining custom ETL pipelines—start automating audience targeting and performance analysis today.