Sync Airflow pipelines with Mailchimp campaigns automatically. Stop manually exporting audience segments, triggering emails based on data events, or building custom scripts to connect your orchestration platform with your marketing automation.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Launch email campaigns automatically when your ETL jobs finish and fresh data lands in your warehouse. Perfect for daily digest emails, weekly reports, or product updates that depend on pipeline completion. No more coordination between data and marketing teams.
Build dynamic audience segments in your warehouse and push them to Mailchimp automatically through scheduled DAGs. Update subscriber lists, tags, and merge fields based on behavioral data, purchase history, or predictive scores. Keep marketing lists always current without CSV exports.
Ingest email metrics, campaign stats, and subscriber activity into your data warehouse automatically. Combine email performance with product analytics, revenue data, and customer attributes for complete marketing attribution. Schedule extracts to run daily or after each campaign send.
Update subscriber profiles with calculated fields, customer segments, or predictive scores generated by your Airflow pipelines. Add LTV estimates, churn risk scores, product preferences, or engagement tiers directly to Mailchimp merge fields. Enable sophisticated personalization without manual data entry.
Monitor Mailchimp metrics and trigger Airflow workflows when anomalies occur. Send Slack alerts, create tickets, or kick off investigative pipelines when engagement drops or bounce rates increase. Catch deliverability issues before they impact your sender reputation.
Send stakeholder emails through Mailchimp when your data pipelines detect important business changes. Alert executives when revenue thresholds are crossed, notify teams when data quality scores decline, or send automated insights when trends emerge. Connect data events directly to email communications.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Airflow and Mailchimp 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 Airflow's DAG structures and task dependencies alongside Mailchimp's audience schemas, campaign objects, and subscriber data models.
Redbird interprets Airflow task success states, XComs, and pipeline schedules while understanding Mailchimp's list structures, merge fields, tags, and campaign types. Map subscriber attributes to warehouse columns automatically. Transform pipeline outputs into audience segments without writing custom operators. Our AI handles schema evolution in both systems, adjusting syncs when you add new merge fields or modify DAG outputs.
faster than building custom Airflow operators for Mailchimp
Redbird can pull from Airflow and Mailchimp 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 Mailchimp.
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 Mailchimp, or from Mailchimp 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 task state or Mailchimp campaign event and take action across both platforms.
Trigger workflows when any Airflow DAG finishes successfully, fails, or reaches a specific state.
React to individual task outcomes within your pipelines, including retry attempts and error states.
Start workflows based on Airflow's scheduling engine, aligned with your existing DAG cadences.
Kick off specific Airflow pipelines programmatically with custom configurations or parameters.
Write data to Airflow's cross-communication store to pass information between tasks and systems.
Programmatically update task states based on external conditions or downstream system responses.
Trigger workflows when email campaigns are delivered, including scheduled sends and automated sequences.
React when new subscribers join lists or existing subscriber data changes, including tag modifications.
Capture when subscribers opt out or emails bounce to maintain data quality and trigger follow-up actions.
Create new subscriber records or modify existing profiles with updated merge fields, tags, and preferences.
Trigger email campaigns programmatically to specific audiences or segments based on data conditions.
Build dynamic audience segments in Mailchimp based on data processed through your Airflow pipelines.
Stop building custom Airflow operators or writing Python scripts to sync your data pipelines with your email platform. Connect Airflow and Mailchimp with Redbird AI and automate the workflows your team actually needs.