> For the complete documentation index, see [llms.txt](https://docs.centercheck.com/xbxMQACVcX90R5ugyGdt/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.centercheck.com/xbxMQACVcX90R5ugyGdt/readme.md).

# 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 or CSV).

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## 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:

| Capability                             | Description                                                                                                     |
| -------------------------------------- | --------------------------------------------------------------------------------------------------------------- |
| **Store-Level Sales Performance**      | Revenue, transaction count, and average ticket size at the individual POI level.                                |
| **Shopper 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.                        |

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## 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

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## How Data is Delivered

CenterCheck data is available through the following delivery method:

* **Flat Files (Parquet/CSV)** — 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](/xbxMQACVcX90R5ugyGdt/data-schema-reference/schema.md).

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## Documentation Overview

| Section                                                                        | Description                                                              |
| ------------------------------------------------------------------------------ | ------------------------------------------------------------------------ |
| [Data Schema Reference](/xbxMQACVcX90R5ugyGdt/data-schema-reference/schema.md) | Full field-level documentation for all datasets and entity relationships |
| [Flat File Reference](/xbxMQACVcX90R5ugyGdt/flat-file-reference/formats.md)    | File formats and S3 delivery structure                                   |

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> For access credentials, data licensing inquiries, or support, contact your CenterCheck account representative.