Redbird AI automates the flow between your lakehouse and analytics platform. Stop manually exporting GA4 data for ML training, writing custom scripts to push predictions back to Analytics, or building one-off pipelines to enrich behavioral data with features from Databricks.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically ingest raw GA4 events, user properties, and conversion data into Delta Lake tables. Redbird handles schema evolution and partitioning, keeping behavioral data fresh for ML pipelines and feature stores without manual exports or BigQuery intermediaries.
Send churn risk scores, CLV predictions, or segment assignments from Databricks ML models directly to GA4 as user-scoped custom dimensions. Enable marketing teams to build audiences and optimize campaigns based on real-time model outputs without engineering support.
Look up real-time feature values and model predictions from Databricks Feature Store and attach them to GA4 events as custom parameters. Surface ML-powered insights directly in Analytics reports and Explorations for immediate campaign optimization.
Automatically extract and store complete GA4 event history beyond the standard retention window. Maintain versioned, queryable archives in Delta format with full audit trails for regulatory requirements and year-over-year behavioral analysis.
Monitor GA4 conversion metrics and funnel performance in real-time. When Redbird detects significant distribution shifts or anomalies, automatically kick off Databricks model retraining jobs to keep predictions accurate as user behavior evolves.
Automatically create and update GA4 audiences based on complex segmentation logic executed in Databricks. Push cohorts defined by multi-touch attribution models, predictive segments, or product affinity clusters directly to Analytics for activation in Google Ads and Display campaigns.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks and Google Analytics (GA4) 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 Delta Lake schemas and GA4's event-based data model, automatically mapping behavioral events to feature pipelines and syncing ML outputs back to Analytics properties.
Redbird automatically handles GA4's nested event parameters and user properties, mapping them to Delta Lake schemas optimized for analytics and ML. It understands measurement protocol requirements for pushing data back to GA4, manages custom dimension limits, and maintains proper event scoping. Schema evolution is automatic as you add custom parameters or modify event structures, with zero configuration for partitioning strategies or incremental syncs.
faster than building custom GA4 export pipelines with BigQuery and Databricks jobs
Redbird can pull from Databricks and Google Analytics (GA4) 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 Google Analytics (GA4).
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 Google Analytics (GA4), or from Google Analytics (GA4) 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 any event in Databricks or GA4 — new data in Delta tables, completed model runs, conversion spikes, or audience threshold changes.
Fires when new data is written to specified Delta Lake tables, including feature store updates or model output tables.
Triggers when a registered MLflow model completes training or validation, with access to metrics and artifacts.
Activates when Databricks jobs complete successfully or fail, enabling downstream workflow orchestration.
Insert or merge data into Delta tables with automatic schema evolution and optimized partitioning strategies.
Trigger existing job runs with custom parameters, ideal for retraining pipelines or batch scoring workflows.
Look up real-time feature values for entities, returning current feature vectors for enrichment workflows.
Fires when specific conversion events hit thresholds or when new conversion types are tracked in your property.
Triggers when GA4 completes daily data processing, ensuring fresh behavioral data for ML pipelines.
Activates when audience membership crosses defined thresholds, enabling dynamic campaign adjustments.
Set user-scoped custom dimensions based on ML predictions or calculated segments from Databricks.
Push server-side events to GA4 with custom parameters, ideal for offline conversion tracking or enrichment.
Modify GA4 audience criteria based on complex logic executed in Databricks, syncing predictive segments automatically.
Join teams using Redbird AI to sync Databricks and Google Analytics (GA4) automatically. Build behavioral ML pipelines and activate predictions in minutes, not sprints.