Redbird AI automates the data pipeline between your GCP data lake and marketing automation platform. Stop manually exporting CSVs, writing custom scripts to sync enrichment data, or waiting on engineering to update lead scores from warehouse models.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Your data science team builds lead scoring models that output predictions to GCS. Redbird automatically reads new score files and updates corresponding lead records in Marketo with propensity scores, tier assignments, and recommended nurture tracks. No manual imports or API scripts required.
Automatically extract campaign metrics, email performance, and engagement data from Marketo and write structured files to Cloud Storage buckets. Redbird maintains historical snapshots in Parquet or JSON format, ready for BigQuery analysis or data warehouse ingestion beyond Marketo's retention limits.
Intent signal providers deliver data to your GCS buckets daily. Redbird monitors for new files, parses account and contact-level signals, and updates Marketo records with engagement topics, surge indicators, and timing scores. Marketing can trigger ABM plays immediately based on fresh intent.
Capture every form submission, page view, and content engagement event from Marketo and write to Cloud Storage in real-time. Redbird structures the data for ML workflows, maintaining event schemas that data science teams can use to train conversion models and attribution algorithms.
Churn prediction models in your GCP environment output risk scores to Cloud Storage. Redbird reads these files, matches accounts and contacts to Marketo records, and updates custom fields or adds leads to intervention campaigns. At-risk customers enter retention nurtures automatically.
Redbird aggregates Marketo program membership, email interactions, and opportunity influence data exported to Cloud Storage, then produces attribution summary reports. Marketing ops gets consistent weekly snapshots of pipeline contribution and channel performance without manual data pulls.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Google Cloud Storage 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 AI understands both GCP storage patterns and Marketo's lead management schema, so you can automate data flows without writing integration code or managing API limits.
Redbird automatically maps data from Cloud Storage files—whether CSV, JSON, Parquet, or Avro—to Marketo lead fields, custom objects, and program memberships. The AI handles schema variations, deduplicates records by email or custom IDs, and respects Marketo's API rate limits during bulk updates. When your data science team changes model output formats in GCS, Redbird adapts field mappings without requiring new transformation scripts.
faster than building custom Python scripts to sync GCS files with Marketo APIs
Redbird can pull from Google Cloud Storage 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 Google Cloud Storage 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 Google Cloud Storage into Marketo, or from Marketo back into Google Cloud Storage. 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 new files landing in Cloud Storage buckets or lead lifecycle changes in Marketo—Redbird handles the rest.
Trigger when a new CSV, JSON, or Parquet file appears in a specified GCS bucket or folder path.
Watch for files matching specific naming conventions like lead_scores_*.csv or intent_data_YYYY-MM-DD.json.
Check a Cloud Storage location on a schedule and trigger when new data is detected.
Export data from Marketo and write as CSV, JSON, or Parquet files to specified GCS locations.
Extract data from Cloud Storage files, automatically detecting format and schema for downstream use.
Move processed files to Nearline or Coldline storage classes for cost-effective long-term retention.
Trigger when a lead's score crosses thresholds or changes by a specified amount in Marketo.
Watch for leads joining specific programs, nurture streams, or achieving program statuses.
Trigger when specific lead or custom object fields are modified, like account tier or engagement level.
Write data from Cloud Storage files into standard or custom Marketo lead fields with deduplication.
Enroll leads in Marketo programs or specific nurture streams based on data conditions from GCS.
Sync data from Cloud Storage into Marketo custom objects like product usage or account history records.
Stop building custom scripts to sync Google Cloud Storage with Marketo. Redbird AI automates the entire pipeline—from file detection to lead enrichment—so your team can focus on campaigns, not data plumbing.