Automate the pipeline between your workflow orchestration platform and digital experience data. Stop manually exporting session events, writing custom DAGs for behavioral data syncs, or piecing together FullStory insights with warehouse analytics.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically extract session replay metadata, user events, and behavioral signals from FullStory and load them into Snowflake, BigQuery, or Redshift. Redbird orchestrates the full ETL pipeline—handling pagination, rate limits, and incremental updates—so your product and analytics teams always have fresh UX data in the warehouse.
Launch data pipeline workflows when FullStory identifies rage clicks, error clicks, or conversion funnel drop-offs exceeding thresholds. Automatically kick off enrichment jobs that join session data with customer attributes, product usage, and revenue metrics to quantify UX impact.
When Airflow DAGs finish loading customer, product, or transaction data, automatically push enrichment attributes back to FullStory user profiles. Connect behavioral analytics with subscription tier, lifetime value, feature flags, and cohort segments so product teams see full context in session replays.
Orchestrate automated archival workflows that export aging FullStory session recordings and event streams to S3 or cloud storage before they expire. Redbird handles incremental exports, deduplication, and ensures compliance teams retain complete behavioral audit trails beyond FullStory's retention window.
Monitor Airflow tasks that sync FullStory behavioral data and automatically notify data engineering when jobs timeout, encounter API errors, or produce unexpected record counts. Redbird correlates pipeline health with FullStory API status and data freshness metrics to accelerate troubleshooting.
After Airflow completes weekly aggregation DAGs, automatically query FullStory for corresponding session counts, friction metrics, and conversion rates. Redbird joins pipeline outputs with behavioral analytics to deliver unified reports showing how data quality issues or feature releases affect user experience.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Airflow and FullStory 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, task dependencies, and execution contexts alongside FullStory's session schemas, event taxonomies, and behavioral metric APIs.
Redbird automatically maps FullStory's event payload structures—including custom properties, user vars, and session metadata—to your warehouse table schemas referenced in Airflow DAGs. It understands task dependencies, execution dates, and XCom patterns in your orchestration workflows, and intelligently syncs behavioral event streams while preserving session context, funnel sequences, and user journey timelines. No manual schema mapping or custom operator development required.
faster to build FullStory data pipelines than writing custom Airflow operators
Redbird can pull from Airflow and FullStory 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 FullStory.
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 FullStory, or from FullStory 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 workflows from any Airflow task state change or FullStory behavioral event, then automate across your entire data and analytics stack.
Trigger workflows when specific Airflow DAGs finish executing all tasks without failures.
Detect when Airflow tasks enter failed state or exhaust retry attempts during execution.
Fire events when time-based or sensor-triggered DAGs begin their scheduled workflow runs.
Programmatically initiate Airflow DAG executions with dynamic runtime parameters and execution dates.
Reset failed or upstream_failed task states to rerun portions of DAG workflows.
Write cross-communication data to Airflow's XCom storage for task-to-task parameter passing.
Detect when users exhibit repeated frustrated clicking behavior within specific page segments or timeframes.
Identify when users exit critical flows like checkout, signup, or onboarding at unexpected rates.
Trigger when enterprise tier or high lifetime value customers begin sessions matching targeting rules.
Enrich FullStory user profiles with custom attributes from your data warehouse or internal systems.
Programmatically retrieve event streams and session metadata for specific user cohorts or time ranges.
Apply custom tags to FullStory sessions correlating them with data pipeline runs, feature deployments, or experiments.
Stop building custom Airflow operators for FullStory data exports. Redbird connects your orchestration platform with behavioral analytics automatically, so your data and product teams work from the same unified insights.