Automate the flow of retail measurement and consumer intelligence data into your cloud warehouse. Stop manually exporting NielsenIQ reports, wrangling SKU hierarchies, and rebuilding category dashboards every cycle. Redbird syncs NielsenIQ market data directly into BigQuery and turns it into analysis-ready tables.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically ingest point-of-sale, market share, and velocity metrics from NielsenIQ into partitioned BigQuery tables. Redbird handles SKU mapping, category hierarchies, and time-series normalization so your analytics layer always reflects the latest retail performance data without manual CSV imports.
Append all-commodity volume (ACV), total distribution points, and velocity measures from NielsenIQ to your BigQuery product dimension tables. Redbird matches products across systems using UPC, EAN, and custom identifiers, giving your data team a unified view of internal and syndicated retail data.
Query BigQuery tables populated with NielsenIQ category data to build automated market share, trend, and competitive positioning reports. Redbird refreshes source data on schedule and triggers downstream reporting workflows, eliminating manual updates and ensuring stakeholders see current market dynamics.
Send planned and executed promotion schedules from BigQuery into NielsenIQ systems to enrich promotional ROI analysis. Redbird maps internal campaign identifiers to NielsenIQ measurement frameworks, enabling closed-loop attribution between your activities and syndicated retail scan data.
Monitor NielsenIQ-sourced market share tables in BigQuery and trigger notifications when category or brand share drops beyond thresholds. Redbird evaluates trends across geographies and channels, alerting commercial teams to competitive threats before monthly reviews.
Continuously capture NielsenIQ retail measurement data into BigQuery for multi-year trend analysis and forecasting. Redbird maintains schema consistency across NielsenIQ data releases and handles changes to category definitions, preserving analytical continuity as syndicated data evolves.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and NielsenIQ 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 BigQuery's columnar data structures and NielsenIQ's retail measurement schemas, automatically mapping syndicated data feeds into warehouse-ready formats.
Redbird parses NielsenIQ category schemas, UPC structures, and measure definitions—then writes them into optimized BigQuery tables with proper partitioning, clustering, and data types. It reconciles NielsenIQ's time periods, geographic breakouts, and channel taxonomies with your warehouse conventions, handling SKU master alignment, product hierarchies, and measure normalization automatically. When NielsenIQ releases updated datasets or revises categories, Redbird adapts your BigQuery schemas without breaking downstream analytics.
faster than building custom NielsenIQ ETL scripts and BigQuery load jobs
Redbird can pull from BigQuery and NielsenIQ 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 BigQuery or NielsenIQ.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from BigQuery into NielsenIQ, or from NielsenIQ back into BigQuery. 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 automation from any dataset refresh in NielsenIQ or query completion in BigQuery.
Trigger workflows when a scheduled or ad-hoc BigQuery SQL query finishes running.
Detect when new rows are inserted or existing data is modified in a BigQuery table.
Fire automation when real-time data streams are committed to BigQuery storage.
Execute a SQL query in BigQuery using dynamic parameters from upstream data sources.
Append or overwrite BigQuery tables with structured data from external systems.
Define or modify BigQuery views to reflect updated business logic or data sources.
Trigger when NielsenIQ releases new weekly or monthly point-of-sale measurement data.
Detect when NielsenIQ updates household panel purchase behavior and demographics.
Fire automation when NielsenIQ publishes new category or brand share analysis.
Pull sales velocity, distribution, and share metrics for specified products or categories.
Extract lift analysis, incremental volume, and ROI data for promotional periods.
Generate tailored NielsenIQ data extracts based on custom geography, time, and attribute filters.
Sync BigQuery with NielsenIQ in minutes and turn retail measurement data into warehouse-ready analytics tables. Redbird handles the complexity so your team can focus on insights, not integration.