Redbird AI syncs behavioral data from Adobe Analytics directly into Redshift—automatically. Stop exporting CSVs, writing custom ETL scripts, or waiting on engineering to update data feeds every time your tracking changes.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically sync clickstream, conversion, and custom event data from Adobe Analytics into Redshift as it happens. Redbird maps eVars, props, and success events to your warehouse schema without manual transformation logic.
Pull workspace reports, segment exports, and historical metrics into Redshift on a schedule. Maintain years of attribution and journey data beyond Adobe's retention limits for compliance and longitudinal analysis.
Query Redshift for CRM status, subscription tier, or LTV data and push enriched segments back into Adobe Analytics. Build more precise audiences by combining behavioral signals with warehouse attributes.
Extract campaign tracking codes, attribution touchpoints, and conversion metrics from Adobe Analytics and load them into Redshift staging tables. Power cross-channel reporting dashboards that blend paid, organic, and offline data.
Compare revenue, conversion counts, or session volumes between Adobe Analytics and Redshift aggregations. Get notified immediately when discrepancies exceed thresholds so you can catch tracking breaks or data pipeline issues.
Automatically capture metric formulas, segment logic, and dimension classifications from Adobe Analytics and store them in Redshift. Keep your data catalog and warehouse documentation in sync with how analytics teams actually define KPIs.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Adobe Analytics and Redshift 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 Adobe Analytics schemas—eVars, props, success events, processing rules—and how they map to Redshift tables, nested JSON columns, and partition strategies.
Redbird's AI interprets Adobe Analytics data feeds, workspace API responses, and classification hierarchies, then translates them into optimized Redshift table structures. It handles prop/eVar mapping, merchandising variable denormalization, and pathing data flattening automatically. When your tracking implementation changes, Redbird adapts schemas and transformations without manual DDL updates or broken pipelines.
faster than building custom Adobe Analytics to Redshift ETL pipelines
Redbird can pull from Adobe Analytics and Redshift 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 Adobe Analytics or Redshift.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Adobe Analytics into Redshift, or from Redshift back into Adobe Analytics. 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 Adobe Analytics event or Redshift query result—and take action in either system instantly.
Trigger when Adobe Analytics generates a new hourly or daily data feed file ready for ingestion.
Trigger when a scheduled workspace project completes and new report data is available via API.
Trigger when a user segment grows or shrinks beyond a defined size in Adobe Analytics.
Build new audience segments in Adobe Analytics or modify existing segment rules programmatically.
Generate and retrieve a workspace report in JSON or CSV format for a specific date range or segment.
Upload new classification values or update existing campaign, product, or custom dimension mappings.
Trigger when new records appear in a Redshift table, such as customer updates or transaction logs.
Trigger when a SQL query result crosses a numeric threshold—revenue, user count, or anomaly detection score.
Trigger when a recurring Redshift query finishes, signaling that aggregated data is ready for downstream use.
Write new records to a Redshift table, appending behavioral data or enriched attributes from other systems.
Execute arbitrary SQL in Redshift to aggregate data, update staging tables, or prepare datasets for activation.
Generate a new Redshift view or update an existing one to reflect the latest schema or business logic.
Redbird AI eliminates the gap between Adobe Analytics behavioral data and your Redshift warehouse. Connect once, automate every sync, and unify analytics across your entire data stack.