Sync your data warehouse with your B2B marketing automation platform. Stop manually exporting campaign data, stitching together lead intelligence, or running attribution reports across disconnected systems.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Pull behavioral signals, account-level engagement metrics, and customer data stored in BigQuery into Pardot prospect records. Surface product usage patterns, support ticket history, or third-party enrichment data to power more sophisticated lead scoring and segmentation. Keep marketing context in sync with your centralized data warehouse.
Run ML models in BigQuery that predict conversion likelihood, churn risk, or account fit, then push those scores directly to Pardot prospect fields. Replace static rules-based scoring with data science-driven models that consider hundreds of signals. Automatically adjust lead grades and assignment rules based on warehouse calculations.
Stream email opens, clicks, form fills, landing page visits, and prospect activities from Pardot into BigQuery tables. Join marketing engagement data with product usage, revenue, and support data for complete funnel analysis. Build dashboards that connect marketing touch points to downstream business outcomes.
Monitor product trial activity, feature adoption milestones, or usage drop-offs detected in BigQuery, then automatically enroll prospects in targeted Pardot engagement programs. Launch re-engagement campaigns when warehouse data shows declining usage. Start upsell nurture tracks when accounts exceed capacity thresholds.
Centralize Pardot campaign interactions, email engagement, and form submissions alongside CRM opportunities, product events, and revenue data in BigQuery. Calculate attribution weights across the entire buyer journey using custom SQL or ML models. Generate reports that show true marketing influence on pipeline and closed-won deals.
Push account-based intent data, technographic changes, or buying committee signals stored in BigQuery into Pardot as custom fields or prospect lists. Trigger account-based campaigns when warehouse data indicates high purchase intent. Coordinate outbound efforts across marketing and sales using centralized intelligence.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery 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 AI understands BigQuery's table schemas and analytical outputs alongside Pardot's prospect model, custom fields, and campaign structures—no manual mapping required.
Redbird automatically recognizes BigQuery result sets, nested fields, and analytical outputs, then intelligently maps them to Pardot prospect fields, custom attributes, and list memberships. The platform understands how to denormalize warehouse queries into Pardot's prospect-centric model, handle timestamp conversions between systems, and manage upsert logic for incremental syncs. When you push scores or segments from BigQuery, Redbird knows which Pardot fields to update and how to trigger the right automation rules.
faster marketing attribution analysis compared to CSV exports and manual data joins
Redbird can pull from BigQuery 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 BigQuery 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 BigQuery into Pardot, or from Pardot back into BigQuery. 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 analytical events in BigQuery or marketing activities in Pardot—Redbird connects both systems in real time.
Fire when a scheduled BigQuery query returns rows meeting specific criteria or volume conditions.
Detect when data is added to specific BigQuery tables, like predictive scores or enrichment datasets.
Trigger when BigQuery ML model outputs new predictions or scores exceed defined thresholds.
Execute BigQuery SQL with dynamic parameters from Pardot data to retrieve contextual intelligence.
Write Pardot prospect activities, campaign data, or engagement metrics into BigQuery tables.
Refresh BigQuery materialized views when Pardot data changes to keep analytical datasets current.
Fire when a prospect completes any Pardot form or specific landing page conversion.
Trigger when a prospect's cumulative email opens, clicks, or replies cross defined activity levels.
Detect when Pardot lead scoring or grading updates occur based on engagement or profile criteria.
Write BigQuery-derived scores, segments, or enrichment data into Pardot custom prospect fields.
Enroll prospects in Pardot lists, engagement programs, or drip campaigns based on warehouse signals.
Sync account-level data or historical metrics from BigQuery into Pardot custom objects for richer context.
Join teams that have stopped manually syncing data between their warehouse and marketing automation. Connect BigQuery and Pardot in minutes, not sprints.