Connect BigQuery and
Nielsen Scarborough with AI

Automate the flow of consumer research data between Nielsen Scarborough and your BigQuery warehouse. Stop manually exporting audience demographics, media consumption data, and purchase behavior reports — let Redbird sync, transform, and analyze Scarborough insights across your data stack automatically.

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.

Auto-sync Nielsen Scarborough audience segments into BigQuery tables for unified analysis

Automatically pull Scarborough audience demographic profiles, media consumption patterns, and psychographic data into BigQuery datasets. Redbird maps Scarborough's market-level segments to your warehouse schema, joining consumer insights with first-party data for comprehensive audience modeling without CSV exports.

Enrich BigQuery customer records with Scarborough purchase behavior and media habits data

Match your BigQuery customer segments against Scarborough's purchase behavior indices and media consumption profiles by geography and demographics. Redbird automatically appends relevant Scarborough insights to your customer tables, enabling media mix modeling and audience targeting informed by third-party consumer research.

Push BigQuery campaign performance data to validate against Scarborough audience projections

Send campaign results and observed audience metrics from BigQuery back to compare against Scarborough's pre-campaign audience estimates. Redbird automates the validation workflow, flagging discrepancies between modeled and actual audience reach to refine future media planning assumptions.

Generate automated media planning reports combining BigQuery performance with Scarborough audience data

Blend BigQuery ad delivery data with Scarborough's audience composition and media consumption insights in automated planning dashboards. Redbird joins campaign spend, reach metrics, and Scarborough's market-level demographic profiles to surface media efficiency by audience segment without manual spreadsheet reconciliation.

Archive Nielsen Scarborough data releases into versioned BigQuery datasets for historical analysis

Automatically capture each Scarborough data update as versioned BigQuery tables, preserving historical audience profiles and market trend data. Redbird manages schema evolution across Scarborough releases, enabling year-over-year comparisons and trend analysis of consumer behavior shifts at the market level.

Alert media teams when BigQuery audience metrics diverge from Scarborough benchmarks

Monitor BigQuery campaign audience composition against Scarborough's demographic and behavioral norms for your target markets. Redbird flags statistically significant deviations in observed versus expected audience profiles, triggering alerts when media delivery misses Scarborough-defined target segments.

Live in four steps

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

01

Connect your accounts

Authorize BigQuery and Nielsen Scarborough 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 BigQuery's nested and repeated schema structures alongside Nielsen Scarborough's market-segmented audience taxonomy, automatically mapping consumer research attributes to your warehouse without custom ETL pipelines.

AI that speaks BigQuery schemas and Scarborough audience hierarchies

Redbird's AI natively interprets Scarborough's multi-dimensional audience data — demographics, psychographics, media quintiles, purchase behavior indices — and maps them to BigQuery's columnar structure. It handles Scarborough's market-level segmentation, geographic hierarchies, and survey wave versioning, automatically flattening nested audience attributes into queryable BigQuery tables. The platform reconciles Scarborough's categorical codes with your existing customer dimensions, joining third-party insights to first-party data without manual schema translation or CSV wrangling.

Auto-map Scarborough audience segments to BigQuery tables
Handle nested demographics and repeated media consumption arrays
Join purchase indices with first-party customer dimensions
Version Scarborough data releases as partitioned BigQuery datasets
10×

faster than manually exporting Scarborough CSVs and loading into BigQuery

No custom ETL scripts, API wrappers, or manual schema mapping for each Scarborough data release

Auto-generated reports

Redbird can pull from BigQuery and Nielsen Scarborough 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 BigQuery or Nielsen Scarborough.

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 BigQuery into Nielsen Scarborough, or from Nielsen Scarborough back into BigQuery. 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 automation from any BigQuery query result or Nielsen Scarborough data update, flowing insights bidirectionally across your media planning and analytics stack.

BigQuery
Triggers & Actions
Trigger

New query result matches threshold

Trigger when a scheduled BigQuery query returns results meeting specific audience or performance criteria.

Trigger

Table row count changes

Detect when BigQuery tables tracking campaign audiences or media delivery metrics receive new data loads.

Trigger

Scheduled query completes

Initiate workflows when recurring BigQuery analytics jobs finish processing audience or attribution models.

Action

Insert rows into table

Write Scarborough audience profiles, demographic indices, or media consumption data into BigQuery datasets.

Action

Update partitioned table

Append or merge new Scarborough data releases into date-partitioned BigQuery tables for historical tracking.

Action

Run parameterized query

Execute BigQuery SQL with Scarborough audience segment IDs or market codes to validate campaign targeting.

Nielsen Scarborough
Triggers & Actions
Trigger

New data release available

Trigger when Nielsen Scarborough publishes updated audience measurement or consumer research datasets.

Trigger

Market data refreshed

Detect when specific DMA or market-level Scarborough audience profiles receive quarterly or annual updates.

Trigger

Custom audience segment updated

Initiate workflows when saved Scarborough audience definitions or custom demographic segments change.

Action

Export audience segment data

Pull demographic profiles, media quintiles, and purchase behavior indices for specified Scarborough segments.

Action

Retrieve market comparison report

Extract cross-market audience composition and media consumption benchmarks from Scarborough for analysis.

Action

Query purchase behavior indices

Fetch product category purchase propensity and brand preference data by demographic or geographic segment.

BigQuery
+
Nielsen Scarborough

Ready to connect your stack?

Sync BigQuery with Nielsen Scarborough and stop manually bridging consumer research with your warehouse. Redbird automates the entire pipeline — from Scarborough audience data ingestion to BigQuery-powered media planning insights.

Get started → Book a demo