Automate your GA4 data extraction and pipeline orchestration without writing custom operators or maintaining fragile API scripts. Redbird AI connects Airflow to Google Analytics (GA4) so your data team can focus on insights, not infrastructure.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically trigger GA4 data extraction when your Airflow DAG runs, pulling sessions, events, and conversion data into your warehouse. Redbird handles API pagination, rate limits, and schema mapping so your analytics tables stay fresh without custom Python operators.
After your Airflow pipeline processes CRM or product data, push enrichment attributes back to GA4 as custom dimensions or user properties. Connect website behavior to business metrics like customer lifetime value or account tier automatically.
Monitor your GA4 ingestion pipelines in Airflow and trigger notifications when task failures occur, row counts drop unexpectedly, or API responses change. Keep your analytics stack reliable without constant manual checks.
Orchestrate monthly exports of GA4 aggregate reports and raw event data to S3 or GCS through Airflow. Preserve historical analytics beyond GA4's retention limits while maintaining a complete audit trail of website performance.
When your Airflow pipeline identifies offline conversions or qualified leads in your warehouse, push those events back to GA4 to complete the attribution picture. Close the loop between backend data and marketing analytics automatically.
Automatically kick off Airflow tasks to refresh dashboards, update marketing reports, or train ML models when GA4 data successfully loads. Coordinate your entire analytics stack so insights are always current.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Airflow and Google Analytics (GA4) 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 Airflow's DAG structures and task dependencies alongside GA4's event schemas, custom dimensions, and API quotas—so your pipelines just work.
Redbird maps GA4's nested event parameters, user properties, and session data to your warehouse tables without custom transformation code. It knows how Airflow sensors, operators, and XComs work, automatically generating idempotent tasks that handle API rate limits and partial failures. When GA4's schema changes or your DAG structure evolves, Redbird adapts your integration without breaking production pipelines.
faster than building custom GA4 operators and maintaining API clients
Redbird can pull from Airflow and Google Analytics (GA4) 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 Airflow or Google Analytics (GA4).
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Airflow into Google Analytics (GA4), or from Google Analytics (GA4) back into Airflow. 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 Airflow task events or GA4 data changes—Redbird connects every part of your analytics infrastructure.
Trigger workflows when specific Airflow DAGs finish, including success/failure status and execution metadata.
Start processes when pipeline tasks encounter errors, exceed retry limits, or enter failed states.
React when Airflow sensors detect file arrivals, API availability, or time-based conditions.
Programmatically start Airflow workflows with custom configuration, passing runtime variables and execution dates.
Write data to Airflow's cross-communication store for sharing context between pipeline tasks.
Control pipeline execution by programmatically enabling or disabling DAG schedules based on external conditions.
Start workflows when GA4's daily batch data is ready for extraction via the Data API.
Trigger processes when specific conversion goals hit volume or rate thresholds in your GA4 property.
Detect when new event parameters or custom dimensions are added to your GA4 tracking implementation.
Programmatically add new custom dimensions to your GA4 property for enriched event tracking.
Push server-side conversion events or user interactions to GA4 from backend systems or pipelines.
Enrich GA4 user profiles with attributes from your data warehouse for better segmentation and analysis.
Stop maintaining custom GA4 operators and API clients. Connect Airflow to Google Analytics (GA4) with Redbird AI and automate your analytics data pipelines in minutes.