Automate the flow of marketing performance data between your analytics platform and marketing automation system. Stop manually exporting campaign metrics, building one-off attribution reports, or reconciling lead data across systems.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Push aggregated engagement scores, velocity metrics, and multi-touch attribution data calculated in Looker directly into Pardot prospect records. Enable marketers to segment and nurture based on warehouse-level insights without leaving their workflow.
Pull lead scores, engagement history, and campaign touchpoints from Pardot into Looker for centralized reporting. Combine marketing automation data with product usage, sales outcomes, and revenue to measure true lead quality and conversion patterns.
When Looker identifies significant shifts in product usage, retention, or conversion rates for specific segments, automatically trigger targeted nurture campaigns or update scoring rules in Pardot. Close the loop between product analytics and marketing response.
Stream active campaign metadata, send volumes, and engagement rates from Pardot into your data warehouse for live Looker dashboards. Give executives and analysts a complete view of marketing operations without manual data pulls.
When Looker queries identify high-value prospects based on firmographic data, product signals, or predictive scores, sync those segments directly to Pardot lists. Keep targeting criteria consistent with your central semantic layer definitions.
Continuously capture email opens, form submissions, content downloads, and webinar registrations from Pardot into your data warehouse. Enable Looker to run multi-year attribution analysis and lifetime value modeling with complete marketing touchpoint history.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Looker 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 LookML dimensions, measures, and explores alongside Pardot's prospect fields, campaign hierarchies, and engagement scoring models to intelligently map and transform data between systems.
Redbird reads LookML to identify metric definitions, derived tables, and business logic while parsing Pardot's custom fields, scoring categories, and campaign structures. It automatically maps Looker-defined segments to Pardot list criteria, translates aggregate metrics into prospect-level fields, and resolves schema differences between your centralized analytics layer and marketing automation database. No manual field mapping or transformation scripting required.
faster than exporting CSVs, mapping fields manually, and building custom ETL scripts to sync marketing metrics
Redbird can pull from Looker 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 Looker 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 Looker into Pardot, or from Pardot back into Looker. 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 any data event in Looker or marketing activity in Pardot to keep insights and campaigns synchronized.
Trigger when a scheduled Looker report finishes running with new data results.
Detect when specific metrics or dimensions in a Looker dashboard cross defined thresholds.
Fire when a saved Looker Explore query identifies new records matching specified criteria.
Programmatically add or modify LookML dimension definitions based on external data.
Trigger delivery of specific Looker reports to defined user groups or channels.
Refresh PDT calculations to incorporate new source data from integrated systems.
Fire when a lead's score crosses specific thresholds or changes by defined amounts.
Trigger on opens, clicks, or specific link interactions within Pardot email campaigns.
Capture when prospects submit Pardot forms or landing pages with specific field values.
Programmatically add leads to static or dynamic Pardot lists for targeting and segmentation.
Write calculated metrics, external scores, or enrichment data directly to prospect records.
Modify scoring criteria or category weights based on performance data from analytics systems.
Start automating between Looker and Pardot in minutes. No complex API work, no manual field mapping, no data engineering bottlenecks.