Redbird AI syncs your marketing automation platform with your data lakehouse, so you can enrich lead scoring with ML models, automate campaign performance reporting, and surface behavioral insights without building custom pipelines. Stop manually exporting CSVs or waiting on engineering to sync marketing data.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Pull prospect IDs from Pardot, run them through your trained conversion models in Databricks, and write predicted scores back to custom fields. Your marketing team acts on real-time ML insights without touching notebooks or code.
Capture email opens, clicks, form fills, and landing page visits from Pardot and write them to your lakehouse in near real-time. Data science teams run attribution models and multi-touch journey analysis on complete engagement history.
Monitor feature tables for high-value behavioral signals like trial expirations or feature adoption milestones. Automatically add qualified prospects to targeted nurture programs in Pardot based on product data, not just web engagement.
Sync enriched company data, industry classifications, and account segmentation scores from your lakehouse to Pardot prospect records. Marketing teams personalize campaigns with the same golden record data that powers product and sales.
Pull email campaign stats, form conversion rates, and pipeline contribution data from Pardot into Delta tables. Blend with CRM, product, and revenue data to create unified marketing performance dashboards that update automatically.
Continuously export prospect engagement history, email sends, and list membership changes to your lakehouse. Maintain complete audit trails beyond Pardot's retention limits and run historical trend analysis on years of marketing data.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks and Pardot 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 Databricks table schemas, Delta Lake formats, and ML model outputs alongside Pardot's prospect structure, custom fields, and engagement tracking—so you can orchestrate complex data flows without custom connectors.
Redbird maps Databricks feature tables, batch job outputs, and streaming data directly to Pardot prospect records, custom fields, and list memberships. Our AI understands Unity Catalog namespaces, Delta table schemas, Pardot's visitor-to-prospect conversion flow, and how to handle incremental syncs without duplicating engagement records. You define the business logic—Redbird handles schema evolution, data type conversion, and API rate limit management across both platforms.
faster than building Spark jobs and Pardot API integrations in-house
Redbird can pull from Databricks and Pardot 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 Pardot.
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 Pardot, or from Pardot 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 workflows from data pipeline completion in Databricks or prospect activity in Pardot—Redbird orchestrates the rest.
Trigger when new rows are appended to a Delta table or existing records are modified in your lakehouse.
Start workflows when batch scoring jobs finish running predictions on prospect or account datasets.
Detect when scheduled notebooks or pipelines complete successfully and new data is ready to sync.
Append or upsert Pardot engagement data, prospect attributes, or campaign metrics to Delta tables in your lakehouse.
Trigger feature engineering, scoring, or data quality checks in response to Pardot webhook events.
Retrieve real-time feature values or model predictions from Databricks feature tables to enrich Pardot prospects.
Trigger when new prospects are identified or existing records are modified in Pardot.
Start workflows when prospects complete Pardot forms on landing pages or gated content.
Detect when prospects open emails, click links, or unsubscribe from nurture campaigns.
Write ML scores, enrichment data, or product usage signals from Databricks to Pardot custom fields.
Enroll prospects in nurture programs or segmentation lists based on Databricks model outputs or event triggers.
Adjust Pardot lead scores using predictive models or behavioral signals calculated in Databricks.
Stop building one-off scripts to sync Databricks and Pardot. Redbird AI connects your lakehouse to your marketing automation platform so your teams can act on ML insights and complete engagement data in minutes, not sprints.