Sync enriched lead data, propensity scores, and behavioral segments from your lakehouse directly into Marketo campaigns. Stop exporting CSVs, writing custom ETL scripts, or waiting on engineering to update audience lists.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Train propensity-to-buy or product affinity models in Databricks, then automatically sync predicted scores to custom Marketo fields. Update lead scores daily or in real-time as new behavioral data flows through your lakehouse, triggering nurture campaigns based on model output.
Build account scoring and segmentation logic in Databricks using product usage, firmographic, and intent data. Automatically sync matching leads into Marketo static lists or programs for account-based campaigns, ensuring your ABM plays target the right accounts without manual list uploads.
Capture email opens, clicks, form fills, and program membership changes from Marketo into your lakehouse in near real-time. Join engagement data with CRM, product, and revenue data to build multi-touch attribution models and analyze campaign effectiveness at scale.
Pull aggregated product telemetry, support interactions, and customer health scores calculated in Databricks into Marketo custom fields. Give marketing teams visibility into product-qualified signals without building custom integrations or waiting for data warehouse exports.
Extract program performance, email metrics, and conversion data from Marketo on a schedule and append to Delta tables in Databricks. Build longitudinal analyses, compare campaign performance over quarters, and train ML models on historical marketing effectiveness data.
Run data quality checks in Databricks against unified lead records, then trigger alerts when Marketo leads have missing fields, invalid domains, or scoring anomalies. Automatically create tasks or update lead status in Marketo to flag records needing cleanup before they enter nurture streams.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks 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 Databricks table schemas and Marketo's lead database structure, so you can map complex lakehouse data to marketing fields without custom code.
Redbird reads your Databricks table schemas, recognizes feature store tables, and understands Marketo's lead fields, custom objects, and program membership structure. Map scored predictions to lead fields, sync segmentation logic to static lists, or stream activity logs to Delta tables using natural language. The AI handles type conversion, batch sizing, and API rate limits across both platforms automatically.
faster than building custom Spark jobs and Marketo API scripts
Redbird can pull from Databricks 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 Databricks 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 Databricks into Marketo, or from Marketo 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 lakehouse queries, ML model runs, Marketo program changes, or lead activity — then take action across both platforms.
Trigger when new rows are appended to a scored leads or segment definition table in Databricks.
Start workflows when a scheduled MLflow model training run finishes and registers a new model version.
React when a Databricks workflow or scheduled notebook job completes successfully with new output data.
Run SQL against Delta tables to pull aggregated metrics, feature values, or segment memberships on demand.
Append or merge new records into a Databricks Delta table from Marketo activity or campaign data.
Kick off a Databricks job or notebook execution in response to Marketo events or on a custom schedule.
Fire when a lead's score crosses a threshold or is updated by a campaign or scoring rule.
Trigger when a lead becomes a member of a nurture program, ABM campaign, or event.
React to new form fills or gated content downloads captured through Marketo landing pages.
Write propensity scores, segment labels, or product usage metrics to standard or custom Marketo lead fields.
Add leads to a Marketo static list for ABM campaigns, suppression, or targeted nurture based on lakehouse logic.
Update a lead's program membership status or progression step based on data signals from Databricks.
See how Redbird syncs Databricks and Marketo in minutes. No custom Spark jobs, no API wrangling — just describe what you need and let AI build the pipeline.