NielsenIQ

Consumer Intelligence That Puts You Ahead of the Market

NielsenIQ location data delivers hyperlocal consumer spending signals, retail performance benchmarks, and demographic purchasing profiles — so your team makes confident decisions faster.

Isometric white-clay geospatial platform with blue routes, location markers, trade areas, retail blocks, and floating abstract data cards representing NielsenIQ consumer spending and retail intelligence.
At a Glance

The Data Behind the Decision

900M+
Consumer transactions analyzed annually
100+
Retail product categories indexed
200+
Markets covered across North America
Buy by Geography

Stop buying the whole country. Buy just your markets.

Most data vendors sell you a national license to millions of records you will never contact. BigGeo works differently.You tell us where you sell, and we cut you exactly that geographic slice of the dataset. A single city.

A cluster of ZIP codes. A metro area. A county. Whatever matches your territory. The result is a lean, CRM-ready file containing only the companies in the markets you actually work, delivered at a fraction of the cost of a full national license.

Book a Meeting

Book a Personalized Demo

The Problem

Retail Strategy Without the Right Data Is Just Guessing

Site selectors, brand strategists, and retail operators are under pressure to grow — but fragmented, outdated, or surface-level consumer data leads to costly misses in the field.

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Incomplete Spending Visibility
Aggregate demographic data doesn't reveal how consumers actually spend. Without category-level purchasing signals, you're sizing markets on assumptions rather than behavior.
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Poor Trade Area Accuracy
Radius-based trade areas ignore real purchase patterns. Without demand-weighted boundaries, you risk cannibalizing existing locations or missing underserved pockets of high-value consumers.
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Competitive Blind Spots
Knowing where competitors operate is table stakes. Understanding how much wallet share they command — and where they're vulnerable — requires spending intelligence your current stack doesn't provide.
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Slow, Manual Market Evaluation
Stitching together census data, syndicated reports, and internal sales figures wastes weeks. Analysts spend more time normalizing data than generating the strategic insights leadership needs.
What Is In The Dataset

The NielsenIQ Dataset on Spatial

Category-Level Spending Indices

Measure consumer spending propensity across 100+ product and service categories at the ZIP, census tract, and block group level — normalized against national benchmarks for apples-to-apples comparisons.

Hyperlocal Market Sizing

Quantify addressable demand within any custom trade area using NielsenIQ's purchasing power estimates, household penetration rates, and category spend per capita.

Retail Performance Benchmarking

Compare prospective locations against top-performing stores in your portfolio using NielsenIQ's retail sales velocity and consumer basket data — before you sign a lease.

Competitive Wallet Share Analysis

Identify where competing brands are capturing spend in your target categories and surface whitespace opportunities where consumer demand is unmet by existing supply.

Let's talk
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The world's spatial data is more accessible than you think. Let's show you how close you already are.
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You already have the questions. We have the data. Let's see what happens when they meet.
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The where in your business is more important than you think. Let's find it together.
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Most spatial data conversations start with a problem nobody thought was solvable. What is yours?
BigGeo AI

Ask Any Market Question. Get an Answer in Seconds.

Spatial's AI layer puts NielsenIQ's consumer intelligence at the fingertips of every analyst, strategist, and operator on your team — no SQL, no data science degree required.

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Which ZIP codes in the Dallas metro over-index for premium grocery spending but have no specialty grocer within 3 miles?
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How does consumer spending on fast casual dining in Phoenix compare to our top-performing markets in Atlanta and Denver?
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Show me trade areas where our target demographic spends above the national index on our core category but our brand has zero presence.
FAQ

Frequently asked questions

What geographies does the NielsenIQ dataset cover on Spatial?
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How frequently is the NielsenIQ data updated?
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Can I combine NielsenIQ data with my own internal sales or location data in Spatial?
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How does NielsenIQ spending data differ from census income or demographic data?
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Is the NielsenIQ dataset available for custom geographies and trade areas?
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