Sync ML-scored audiences, enrich campaign data with analytics, and automate attribution reporting between your lakehouse and marketing platform. Stop exporting CSV files, writing custom API scripts, or waiting on engineering to move data between systems.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically push propensity scores, churn predictions, and lifetime value segments from your Databricks feature store into Marketing Cloud data extensions. Keep high-value audiences synced in real-time without batch exports or SFTP jobs.
Pull email opens, clicks, and journey events from Marketing Cloud into Databricks tables alongside product usage and purchase history. Build unified customer 360 datasets that combine marketing engagement with behavioral analytics for better segmentation.
Automatically combine Marketing Cloud campaign metrics with conversion data from your lakehouse to calculate attribution across touchpoints. Surface which journeys and channels drive the highest-value customers without manual data pulls.
When recommendation models or next-best-action algorithms refresh in Databricks, automatically push updated personalization fields to Marketing Cloud subscriber attributes. Ensure email content and journey decisions use the latest ML predictions.
Continuously sync email send logs, SMS delivery events, and journey interaction history from Marketing Cloud to Delta tables. Retain complete marketing activity history for compliance and long-term trend analysis beyond Marketing Cloud retention limits.
Monitor audience sizes in Marketing Cloud data extensions tied to revenue-driving segments defined in Databricks. Automatically notify campaign managers when VIP lists shrink or engagement-based segments need refreshing from the lakehouse.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks and Salesforce Marketing Cloud 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 Databricks Delta table schemas and Marketing Cloud's data extension structure, automating the mapping between your lakehouse and marketing platform without custom code.
Redbird automatically maps Delta table columns to Marketing Cloud subscriber attributes and data extension fields, handling type conversions between Spark SQL and Marketing Cloud's data model. The platform understands Contact Builder relationships, journey entry sources, and how to structure audience files for import. When schemas evolve in Databricks or fields are added in Marketing Cloud, Redbird detects changes and updates mappings without breaking workflows.
faster audience activation than SFTP exports and API scripts
Redbird can pull from Databricks and Salesforce Marketing Cloud 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 Databricks or Salesforce Marketing Cloud.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Databricks into Salesforce Marketing Cloud, or from Salesforce Marketing Cloud back into Databricks. 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 ML pipeline completions in Databricks or campaign events in Marketing Cloud — Redbird handles the rest.
Trigger when a scheduled or on-demand model training job finishes in Databricks.
Detect when rows are inserted or updated in specified Delta tables or views.
Fire when feature tables update with new customer scores or attributes.
Ask questions about customer data and get results from Databricks without writing SQL.
Run Databricks notebooks on-demand and pass dynamic values from Marketing Cloud events.
Write Marketing Cloud engagement data directly into Databricks Delta tables.
Trigger when a specific journey step executes and sends a message to subscribers.
Detect when contacts opt out or change communication preferences in Marketing Cloud.
Fire when a monitored data extension grows, shrinks, or crosses defined thresholds.
Add or update subscriber records in Marketing Cloud data extensions from Databricks data.
Modify Contact Builder attributes with ML scores or analytics from your lakehouse.
Inject contacts into Marketing Cloud journeys based on Databricks segment qualification.
Connect Databricks to Salesforce Marketing Cloud in minutes. Automate audience sync, campaign enrichment, and attribution reporting without building custom integrations or managing infrastructure.