Sync transformed data warehouse models directly to Mailchimp audiences and pull campaign performance back into your analytics layer. Stop manually exporting CSVs, reconciling subscriber lists, or rebuilding marketing metrics in separate dashboards.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically update Mailchimp subscriber tags and audience segments when dbt models classify customers by lifetime value, engagement tier, or product usage. Keep marketing segmentation in sync with your single source of truth without manual list exports or API scripting.
Add new subscribers to Mailchimp lists when dbt models identify activated users, trial signups, or onboarding milestones. Trigger nurture sequences based on data warehouse events, not just form submissions or page visits.
Ingest email open rates, click-through rates, and conversion events from Mailchimp into your data warehouse as dbt source models. Join campaign performance with product analytics, revenue data, and customer lifetime value for complete attribution modeling.
Keep Mailchimp subscriber merge fields current with calculated fields from dbt models like account health score, renewal date, product tier, or feature adoption status. Enable personalized email content based on your transformed data warehouse attributes.
Automatically load subscriber engagement events, preference changes, and list modifications into dbt incremental models. Build long-term trend analysis and engagement scoring without hitting API rate limits or losing historical data.
Automatically suppress or tag at-risk subscribers when dbt models flag churn likelihood, payment issues, or negative sentiment scores. Prevent sending campaigns to customers who need support intervention instead of promotional emails.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize dbt 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 understands dbt's compiled model schemas and Mailchimp's audience structure, merge fields, and tag hierarchies — no custom field mapping or transformation scripts required.
Redbird parses your dbt manifest, model documentation, and column descriptions to understand what each analytics table represents. It maps those data warehouse columns to Mailchimp's subscriber fields, tags, segments, and interest categories automatically. When your dbt models change or new merge fields are added to Mailchimp, Redbird adapts the sync logic without manual reconfiguration. You define business logic in SQL — Redbird handles the operational sync.
faster than building Python scripts to sync warehouse data to Mailchimp
Redbird can pull from dbt 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 dbt 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 dbt into Mailchimp, or from Mailchimp back into dbt. 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 dbt model runs or Mailchimp campaign events — Redbird handles the orchestration across both systems.
Trigger when a specific dbt model finishes running successfully in your warehouse.
Start a workflow when a dbt test identifies schema violations or assertion failures.
Detect when an incremental model appends new records during a scheduled run.
Run a SELECT query against a dbt model to retrieve subscriber lists or audience attributes.
Trigger a dbt snapshot run to capture historical state before syncing to Mailchimp.
Write campaign IDs, list names, or tag mappings back to a dbt seed CSV for documentation.
Trigger when a Mailchimp campaign is successfully delivered to subscribers.
Start a workflow when a new subscriber joins a list or receives a specific tag.
Detect when a subscriber unsubscribes, bounces, or updates email preferences.
Create new subscribers or update existing merge field values based on warehouse data.
Bulk tag Mailchimp subscribers based on conditions from dbt model query results.
Remove or archive subscribers when dbt models flag data quality issues or churn status.
Sync dbt models to Mailchimp audiences in minutes. Stop exporting CSVs and let your transformed data warehouse power personalized email campaigns automatically.