Automate the flow of retail measurement and consumer intelligence data into your data warehouse. Stop manually exporting NielsenIQ sales data, transforming CSV files, and updating Redshift tables. Redbird AI syncs market share, product velocity, and shopper behavior data directly into your analytics infrastructure.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically pull the latest point-of-sale, market share, and distribution metrics from NielsenIQ and load them into Redshift staging and analytical tables. Redbird handles schema mapping, incremental updates, and data validation so your BI dashboards always reflect current retail performance.
Capture NielsenIQ consumer purchase panel datasets and archive them in Redshift with proper partitioning by time period and geography. Build a complete historical view of shopper behavior that powers multi-year trend analysis and category development insights.
Match your internal product master data in Redshift with NielsenIQ's retail measurement metrics including category rankings, velocity scores, and distribution breadth. Redbird automatically joins data across UPC, EAN, and custom product hierarchies to create enriched analytical tables.
Trigger notifications to Slack or email when fresh NielsenIQ datasets finish loading into Redshift and pass quality checks. Keep data analysts and category managers informed about data freshness without manual monitoring of ETL pipelines.
Query Redshift to combine NielsenIQ retail scan data with internal shipment, forecast, and promotion data. Redbird assembles cross-functional reports showing market share trends, velocity changes, and distribution gaps that would otherwise require manual SQL and spreadsheet work.
Push calculated promotional lift, price elasticity, and incremental volume metrics from your Redshift analytics back into NielsenIQ custom data structures. Create feedback loops that inform future promotional planning and pricing strategies with enriched performance data.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize NielsenIQ 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 AI understands both NielsenIQ's retail measurement schemas and Redshift's columnar data warehouse structure, so you can automate CPG analytics without building custom ETL pipelines.
Redbird automatically maps NielsenIQ's hierarchical product taxonomies, time-period aggregations, and market geography structures to Redshift table schemas. It recognizes UPC codes, retailer IDs, Nielsen categories, and measurement periods, then handles type conversions, DIST encoding, and sort key optimization for analytical performance. When NielsenIQ data structures change or new metrics are added, Redbird adapts your Redshift schema and transformation logic without manual intervention.
faster than building custom ETL scripts for NielsenIQ to Redshift pipelines
Redbird can pull from NielsenIQ 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 NielsenIQ 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 NielsenIQ into Redshift, or from Redshift back into NielsenIQ. 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 workflows from any event in NielsenIQ or Redshift, and automate the retail analytics operations that connect consumer intelligence to warehouse infrastructure.
Triggers when NielsenIQ publishes new point-of-sale or retail measurement data for your subscribed markets and categories.
Fires when a product or brand moves in category rankings or crosses market share thresholds in NielsenIQ data.
Triggers when updated household panel or shopper behavior datasets become available in your NielsenIQ account.
Pull specific NielsenIQ reports, metrics, or data cuts based on dynamic filters like geography, time period, or product attributes.
Extract pricing, promotion, and lift analysis data from NielsenIQ for specific campaigns or time windows.
Download product distribution breadth, ACV percentages, and velocity scores for defined product sets and retail channels.
Fires when a scheduled or on-demand analytical query finishes running in Redshift, ready to trigger downstream actions.
Triggers when rows are inserted, updated, or deleted in specified Redshift tables, useful for detecting data quality issues or freshness.
Fires at defined intervals when Redshift table snapshots or materialized views refresh, signaling data readiness for reporting.
Insert or upsert rows into Redshift tables with automatic handling of schema validation, type conversion, and encoding optimization.
Run SQL queries against Redshift datasets, with results available for validation, alerting, or forwarding to other systems.
Refresh pre-aggregated analytical views in Redshift to accelerate dashboard performance and support downstream BI tools.
Join CPG and retail teams using Redbird AI to automate NielsenIQ data pipelines into Redshift. Stop building custom ETL code and start shipping retail analytics faster.