Welcome to CenterCheck Data
CenterCheck is a retail data platform that measures store-level economic activity across physical points of interest (POIs) in the United States. Our dataset is built on real, anonymized transaction data — enabling precise, location-specific analysis of consumer spending behavior, market performance, and demographic composition.
This documentation provides a complete reference for integrating and working with CenterCheck data, delivered as flat files (Parquet).
What CenterCheck Data Measures
CenterCheck captures transaction-level signals tied to physical retail locations, aggregated and enriched to support a wide range of analytical applications:
Store-Level Sales Performance
Revenue, transaction count, and average ticket size at the individual POI level.
Cardholder Demographics
Shopper profiles by age, gender, income bracket, homeownership, parental status, and ZIP code.
ZIP Code Capture
Origin ZIP codes of shoppers per POI, useful for trade area definition and event catchment analysis.
Spend Journey
Correlated transactions across locations to understand how customer segments shop across brands and categories.
Market Share & Trade Area Analysis
Competitive positioning across brands, corridors, and geographies over time.
Complementary / Adversarial Rates
Quantified relationships between neighboring businesses based on shared customer behavior.
Void Analysis
Identification of missing categories or underperforming areas within a center or trade area.
GIS Mapping
Geospatial visualization of sales volume, demographic capture, and category saturation.
POI Contextual Data
Address, brand ID, NAICS code, category, and operational status for each store location.
Who Uses CenterCheck
CenterCheck is used across the commercial real estate and retail industries by:
Owner-operators and leasing representatives evaluating tenant performance and center health
Brokers and NNN investors assessing asset viability and underwriting risk
Retailers and brands benchmarking locations and identifying expansion opportunities
Event venues (stadiums, theme parks, concert halls) analyzing catchment and spend behavior
Municipalities and researchers studying retail corridor performance and economic activity
How Data is Delivered
CenterCheck data is available through the following delivery method:
Flat Files (Parquet) — Periodic data exports structured for direct ingestion into data warehouses and analytical pipelines
The underlying data schema is documented in full in the Data Schema Reference.
Documentation Overview
Full field-level documentation for all datasets and entity relationships
File formats and S3 delivery structure
For access credentials, data licensing inquiries, or support, contact your CenterCheck account representative.
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