Redbird AI syncs your Airflow data pipelines with Marketo marketing automation — no more manual CSV exports, Python scripts to update lead scores, or stitching together engagement data across systems. Automate the flow between orchestration and execution.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When your Airflow DAG completes a propensity scoring model run in your data warehouse, automatically push updated lead scores and segments to Marketo. Marketing gets fresh intelligence without engineering tickets.
Automatically kick off Airflow DAGs when high-priority Marketo campaigns go live or hit engagement thresholds. Keep downstream attribution models and reporting pipelines in sync with campaign activity in real-time.
As Airflow pipelines enrich lead records with firmographic, intent, or technographic data from external sources, automatically update corresponding Marketo records. One source of truth across data engineering and marketing operations.
Automatically extract email opens, clicks, form fills, and program membership data from Marketo into your data warehouse via Airflow on a recurring schedule. Build historical datasets for attribution modeling and campaign analysis without API rate limits.
When Airflow detects data quality issues in lead imports, CRM sync failures, or schema drift affecting marketing tables, automatically create tasks or send alerts in Marketo or connected systems. Surface data problems before campaigns launch.
Combine Marketo engagement metrics with conversion data, sales outcomes, and product usage processed by Airflow pipelines. Automatically generate and distribute attribution reports that connect marketing activity to revenue outcomes.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Airflow and Marketo 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 DAG structures and Marketo's lead database schema — mapping pipeline outputs to marketing records without custom operator code.
Redbird reads your Airflow DAG definitions, task dependencies, and XCom outputs alongside Marketo's lead fields, program statuses, and activity types. It automatically maps data warehouse table columns to Marketo custom fields, understands lead lifecycle stages and scoring models, and handles batching for API limits. No need to write custom Airflow operators or maintain brittle field mapping configs.
faster than building custom Airflow-to-Marketo operators and maintaining field mappings
Redbird can pull from Airflow and Marketo 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 Marketo.
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 Marketo, or from Marketo 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 Airflow pipeline event or Marketo campaign activity — Redbird handles the orchestration.
When any Airflow DAG successfully finishes, including specific task completion status.
When pipeline tasks fail, exceed retry limits, or enter error states requiring attention.
When Airflow detects new data availability in monitored tables or data sources.
Programmatically start specific Airflow workflows with custom configuration parameters.
Modify Airflow Variables or Connections based on external system state changes.
Push data into Airflow XCom for downstream task consumption in running pipelines.
When contacts join nurture programs, engagement campaigns, or reach specific program statuses.
When prospects complete Marketo forms, including specific form IDs or field values.
When lead or account scores cross thresholds or change by significant amounts.
Modify standard or custom fields on lead records with fresh data from pipelines.
Enroll leads in Smart Campaigns, trigger campaigns, or change program membership status.
Write structured data to Marketo custom objects for account-level or related records.
Stop building custom operators and maintaining brittle Marketo API scripts. Connect Airflow and Marketo with Redbird AI and automate the data layer between pipeline orchestration and marketing execution.