Sync pipeline outputs directly into Braze segments and trigger campaigns from data events — without writing custom operators or exporting CSVs. Redbird AI orchestrates your data workflows and marketing automation together, so engineering and growth teams stay in sync.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When your dbt models finish running in Airflow, automatically update user profiles in Braze with fresh segmentation flags, propensity scores, or LTV calculations. No manual exports or batch uploads — attributes sync as soon as the DAG succeeds.
Launch personalized campaigns the moment your churn prediction or recommendation models finish scoring users. Redbird watches your Airflow task states and fires Braze API triggers with the right user cohorts automatically.
Your nightly aggregation DAGs already identify high-value user segments — now push them straight into Braze as dynamic segments. Marketing gets fresh audiences every morning without requesting data exports from engineering.
Capture every email sent, push delivered, and Canvas entry from Braze and route it through your existing Airflow ingestion pipelines. Build complete attribution models by joining campaign data with conversion events in your warehouse.
If a Braze segment suddenly shrinks — signaling upstream data issues — Redbird triggers an Airflow alert DAG to investigate. Your data team gets notified with context before marketing notices campaign reach problems.
When Airflow jobs pull Clearbit firmographics or Segment traits into your warehouse, automatically push the enriched attributes to Braze. Keep marketing data fresh without building separate sync jobs for every enrichment source.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Airflow and Braze 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 both Airflow's DAG states and task dependencies, and Braze's user profile schema, Canvas triggers, and campaign event structures — no custom operators required.
Redbird reads your Airflow task outputs — whether they're Pandas DataFrames, SQL query results, or JSON from API calls — and intelligently maps columns to Braze user attributes, custom events, or segment membership. It handles nested objects, data type conversions, and Braze's external_id requirements without you writing transformation logic. When your warehouse schema changes, Redbird adapts the mapping automatically.
faster than building custom Airflow-to-Braze operators and maintaining API sync code
Redbird can pull from Airflow and Braze 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 Braze.
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 Braze, or from Braze 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 any DAG completion, task state change, or Braze campaign event — then take action across both systems.
Trigger workflows when specific data pipeline DAGs finish, passing task outputs to downstream systems.
Detect when critical pipeline tasks fail so you can halt dependent marketing campaigns or alert stakeholders.
React to the beginning of long-running batch jobs to prepare downstream systems or notify teams.
Kick off on-demand pipeline runs from external events, passing custom configs or user cohort IDs.
Dynamically modify pipeline configuration based on downstream system states or business logic.
Override task states programmatically when external validation determines actual pipeline outcome.
React when users reach specific milestones in multi-step campaigns to trigger data updates or enrichment.
Detect when a campaign sends to more or fewer users than expected, signaling potential data quality issues.
Track segment membership changes to validate upstream data pipelines are updating user attributes correctly.
Push fresh data warehouse outputs directly to Braze user profiles, syncing scores, flags, or preferences.
Launch personalized journeys for specific user segments identified by pipeline logic or ML model outputs.
Dynamically generate campaign content from pipeline results, like product recommendations or regional offers.
Stop building custom Airflow operators to sync data into Braze. Redbird connects your pipeline orchestration and marketing automation intelligently, so data flows where it's needed without engineering bottlenecks.