Connect NielsenIQ and
Snowflake with AI

Automate the flow of retail measurement data from NielsenIQ into your Snowflake data warehouse. Stop manually exporting sales data, reformatting market share files, and rebuilding dimensional models every reporting cycle.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Sync NielsenIQ retail sales data to Snowflake tables automatically

Stream syndicated POS data, product hierarchies, and outlet attributes into structured Snowflake schemas as soon as NielsenIQ updates become available. Redbird maps retailer keys, normalizes time periods, and maintains dimensional consistency across refreshes.

Transform market share metrics into analytics-ready fact tables

Convert NielsenIQ market share reports into normalized fact and dimension tables with proper grain and keys. Automatically handle category hierarchies, time aggregations, and measure definitions without custom ETL scripts.

Build live category performance dashboards from NielsenIQ consumer panels

Ingest household panel data, shopping trips, and basket metrics directly into Snowflake for real-time BI visualization. Redbird structures panelist demographics, purchase occasions, and penetration metrics into queryable schemas.

Archive historical NielsenIQ datasets with full lineage in Snowflake

Preserve point-in-time snapshots of product velocities, distribution metrics, and promotional calendars with version control. Query historical baselines alongside current data without maintaining separate archival systems.

Alert category managers when NielsenIQ shows distribution gaps or velocity drops

Monitor key product metrics in Snowflake and trigger notifications when NielsenIQ data indicates out-of-stocks, declining ACV, or share losses. Define thresholds once and automate stakeholder alerts without manual report reviews.

Enrich internal sales data with NielsenIQ benchmark and competitive context

Join shipment records, retailer feeds, and internal forecasts already in Snowflake with corresponding NielsenIQ category benchmarks and competitive baselines. Build unified analytical models that blend first-party and syndicated intelligence.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize NielsenIQ and Snowflake with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird understands NielsenIQ's measurement hierarchies and Snowflake's schema patterns, so you can automate data pipelines without building custom connectors or managing dimensional mappings.

AI that speaks both retail measurement and cloud warehouse

Redbird interprets NielsenIQ's product hierarchies, outlet classifications, time period conventions, and measure definitions—then maps them to Snowflake's table structures, variant columns, and semi-structured data types. It handles UPC-to-product joins, retailer normalization, and time grain alignment automatically. Your team defines the business logic once, and Redbird maintains schema consistency as both NielsenIQ taxonomies and your Snowflake models evolve.

Product hierarchy mapping
Time period normalization
Outlet & retailer classification
Measure definition translation
10×

faster than building custom NielsenIQ-to-Snowflake ETL pipelines

No Python scripts for data extraction, no manual schema mapping, no cron jobs to monitor file drops

Auto-generated reports

Redbird can pull from NielsenIQ and Snowflake simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either NielsenIQ or Snowflake.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from NielsenIQ into Snowflake, or from Snowflake back into NielsenIQ. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start automations from new NielsenIQ data releases or changes in your Snowflake warehouse—Redbird handles the orchestration.

NielsenIQ
Triggers & Actions
Trigger

New syndicated data file available

Fires when NielsenIQ releases updated POS sales, market share, or category data for your subscribed markets.

Trigger

Consumer panel refresh published

Triggers when new household panel data, shopping trips, or purchase metrics become available.

Trigger

Product hierarchy updated

Activates when NielsenIQ modifies category definitions, brand classifications, or UPC-to-product mappings.

Action

Fetch retail sales data by date range

Retrieve POS data, velocities, and distribution metrics for specified time periods and geographies.

Action

Download market share report by category

Pull market share rankings, brand performance, and competitive metrics for selected categories and markets.

Action

Extract promotional effectiveness data

Get promotional lift metrics, price elasticity, and trade spend ROI from NielsenIQ promotional analytics.

Snowflake
Triggers & Actions
Trigger

New rows inserted into fact table

Fires when fresh data lands in specified Snowflake tables, enabling downstream enrichment or validation workflows.

Trigger

Query result exceeds threshold

Activates when a scheduled SQL query returns values outside defined business rules or performance benchmarks.

Trigger

Schema change detected

Triggers when table structures, column definitions, or data types are modified in your warehouse.

Action

Insert NielsenIQ data into dimension tables

Write product attributes, outlet metadata, and category hierarchies into structured Snowflake dimensions.

Action

Upsert market share metrics into fact tables

Merge NielsenIQ measures into existing fact schemas, handling updates and new records with proper deduplication.

Action

Execute transformation and aggregation queries

Run SQL to reshape NielsenIQ feeds, calculate derived metrics, and refresh materialized views after data loads.

NielsenIQ
+
Snowflake

Ready to connect your stack?

Sync NielsenIQ with Snowflake and eliminate manual data pipelines. Redbird handles extraction, schema mapping, and transformations so your team can focus on analysis, not data engineering.

Get started → Book a demo