Sync BigQuery with LinkedIn Ads to automate campaign performance reporting, audience segmentation, and multi-touch attribution. Stop exporting CSVs, writing custom ETL scripts, or waiting on engineering to analyze B2B campaign data.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically pull campaign metrics, impressions, clicks, conversions, and spend data from LinkedIn Ads into BigQuery tables. Join with CRM, product usage, and revenue data to build complete B2B attribution models without manual exports.
Query BigQuery to identify accounts showing purchase intent signals, then automatically sync company names and contact lists to LinkedIn Ads matched audiences. Enable account-based marketing campaigns driven by your data warehouse insights.
Run scheduled queries joining LinkedIn campaign data with lead quality scores, pipeline contribution, and ROI metrics stored in BigQuery. Surface insights to marketing teams automatically without building custom dashboards.
When LinkedIn captures a conversion, automatically append customer segment, lifetime value predictions, and engagement history from BigQuery. Build accurate ROI models that connect LinkedIn spend to revenue outcomes.
Compare real-time LinkedIn Ads metrics against expected performance ranges calculated in BigQuery. Trigger alerts when cost-per-lead, conversion rates, or spend pacing fall outside thresholds so teams can adjust campaigns immediately.
Capture ad creative variations, A/B test results, and audience targeting details from LinkedIn campaigns into BigQuery. Maintain long-term records for trend analysis, creative effectiveness studies, and compliance requirements.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and LinkedIn 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 AI understands both BigQuery's nested schema structures and LinkedIn Ads' campaign hierarchy, so you can automate bidirectional syncs without writing transformation logic.
Redbird parses LinkedIn Ads campaign structures, ad groups, creatives, and conversion tracking schemas, then intelligently maps them to your BigQuery table designs. It handles nested JSON from LinkedIn API responses, flattens campaign hierarchies into analytical tables, and maintains proper join keys between impression data, conversion events, and audience segments. No need to write field mappings or transformation scripts.
faster than building custom LinkedIn API to BigQuery ETL pipelines
Redbird can pull from BigQuery and LinkedIn 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 LinkedIn 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 LinkedIn Ads, or from LinkedIn 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 BigQuery query result or LinkedIn Ads campaign event, then take action across both platforms.
Trigger when a scheduled BigQuery SQL query returns results meeting specific conditions or row counts.
Detect when new data lands in specific BigQuery tables or partitions from upstream ingestion pipelines.
Monitor when BigQuery table structures change or new date partitions are created for incremental processing.
Write new records or update existing rows in BigQuery tables using merge logic based on primary keys.
Run BigQuery queries with dynamic parameters from workflow data to transform or aggregate campaign metrics.
Update BigQuery materialized views that pre-aggregate LinkedIn performance data for faster dashboard queries.
Trigger workflows when LinkedIn Ads campaigns reach specific daily or lifetime spend limits.
Capture new leads immediately when prospects complete LinkedIn native lead gen forms on sponsored content.
Detect when LinkedIn Insight Tag fires conversion events from website visits or application actions.
Add or remove companies and contacts from LinkedIn matched audiences for account-based targeting.
Programmatically modify LinkedIn campaign bidding strategies or daily budgets based on performance data.
Automatically start or stop LinkedIn Ads campaigns based on inventory levels, events, or performance thresholds.
Join growth and data teams using Redbird AI to sync BigQuery with LinkedIn Ads. Automate B2B attribution, audience targeting, and campaign reporting without custom code.