Automate the flow of retail performance and consumer panel data from Circana into your Redshift data warehouse. Stop manually exporting POS files, writing custom ETL scripts, and rebuilding broken pipelines every time Circana updates their data structure.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically ingest new POS data feeds as they're published in Circana. Redbird maps product hierarchies, store attributes, and time periods to your Redshift schema, handling incremental updates and deduplication without custom transformation logic.
Pull household-level panel data from Circana and append it to your consumer analytics tables in Redshift. Redbird normalizes demographic attributes, basket composition, and trip metrics into your existing data model, enabling cohort analysis and lifetime value calculations.
Capture category and brand share data across time periods and geographies as Circana refreshes their reports. Store complete historical snapshots in Redshift to power multi-year trend dashboards and competitive intelligence workflows.
Match planned promotional events stored in Redshift with actual sales performance from Circana. Redbird joins on product codes, retailer IDs, and date ranges to calculate incremental volume, price elasticity, and ROI for every trade spend activity.
Run scheduled SQL queries in Redshift against fresh Circana data to identify share losses, emerging competitors, or category anomalies. Redbird triggers notifications to teams when thresholds are breached, with context from both systems attached.
Push internal SKU mappings, brand hierarchies, and custom product attributes from Redshift into Circana's data ingestion layer. Ensure consistent product taxonomy across systems for accurate category management and reporting.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Circana 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 Circana's retail syndicated data formats and Redshift's columnar schema architecture, so your pipelines adapt to changing data feeds without breaking.
Redbird's AI learns the structure of Circana data feeds—UPC hierarchies, outlet attributes, time period conventions, measurement types—and maps them intelligently to your Redshift tables. It handles schema drift when Circana adds new attributes or changes data granularity, automatically adjusting transformations and preserving historical compatibility. The system recognizes distribution compression encodings, sort keys, and partitioning strategies in Redshift, optimizing loads for analytical query performance.
faster than building custom Circana ETL pipelines with Python or Airflow
Redbird can pull from Circana 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 Circana 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 Circana into Redshift, or from Redshift back into Circana. 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 new Circana data drops or Redshift query results—Redbird handles the orchestration.
Triggers when Circana publishes a new point-of-sale data feed for your subscribed markets or categories.
Fires when household panel purchase data is updated with the latest reporting period.
Triggers when a scheduled market share or category report becomes available in your Circana workspace.
Pulls point-of-sale metrics filtered by custom time periods, retailer groups, or market definitions.
Extracts household-level purchase behavior for specified demographic or behavioral segments.
Retrieves current category trees, brand mappings, and product attribute definitions from Circana's master data.
Fires when a Redshift query finishes running, with result set metadata available for downstream actions.
Triggers when a Redshift table crosses a specified size, indicating new data volume has arrived.
Fires when a COPY command or external ETL process completes loading data into Redshift tables.
Writes new records to a Redshift table, updating existing rows based on primary key matches.
Runs a custom SQL statement with dynamic variables, returning results for validation or downstream processing.
Modifies Redshift table metadata to optimize query performance based on changing data access patterns.
See how Redbird automates Circana to Redshift workflows for CPG analytics teams—no custom code, no maintenance overhead.