CAP (Competitive Analytics Professionals) is the leading provider of Location Data in the United States and Canada. Our POI (Point of Interest) products include Shopping Centers, Retail & Restaurants and Mobile Insight. CAP data powers major solution provider’s platforms and is used in market research and site selection.
We take pride in the accuracy and currency of our datasets which provide our customers with the insights they need to make competitive and strategic decisions. CAP location data is widely used in multiple industries and has been integrated with many solution providers like Environics and Tetrad.
The most complete Shopping Center Dataset on the market with more than 44,000 centers covering 5.69 billion square footage of space. Core Attributes, Tenants and Fences (Polygons) through 11 categories including Proposed and Redeveloped Centers in the US and Canada.
Billions of records from mobility data analyzed to produce True Trade Areas for every major Shopping Center. CAP Mobile Insight shows you who your customers are and what is the path to purchase. Custom Reports and Aggregated Data at Block Group level also available to our subscribers.
CAP's Retail Dataset has more than 1.4 Million locations, covering 17,941 Trade Names in 281 Categories.
CAP Restaurants Dataset covers more than 350000 locations, from Fine Dining to Quick Service Restaurants, across the US and Canada.
CAP is the leading provider of Shopping Center data with over 5.69 billion GLA tracked. The dataset covers more than 44,000 shopping centers in the US and Canada. For over 12 years, CAP has been providing the best shopping center data on the market to major solution providers, real estate developers, major retailers and restaurants.
With thousands of sources being tracked our datasets are constantly updated, giving our API subscribers the most current view of the Shopping Center market.
We spent time to ensure accuracy! All of our Shopping Center polygons are hand-drawn using the latest satellite imagery and double-checked by our data analysts team.
Our proprietary multi-provider multi-staged geocoding system coupled with human verifications ensures verified rooftop geocode accuracy. More than 80% of our geocodes are manually reviewed and adjusted.
Built from the ground up! From Proprietary Address Parsing to ML Record Deduplication algorithms, our dedicated QA Team has all the right tools to produce and validate the most accurate Shopping Center Dataset on the market.
Our fast and reliable API can supercharge your platform by streaming the most up-to-date Shopping Center data right at your fingertips. Now you can have seamless data delivery and skip the data release cycles by getting instant access to every record in our datasets.
Total number of records
Total number of polygons
Total number of tenants
Core Attribute Fill-in Rate
Shopping Center Type | No. of Locations |
---|---|
Super-Regional | 560 |
Regional | 444 |
Power | 844 |
Community | 5384 |
Mixed | 1786 |
Lifestyle | 464 |
Airport | 397 |
Outlet | 272 |
Festival / Entertainment | 190 |
Neighborhood | 12,108 |
Strip / Convenience | 22,479 |
Gain real insight into who really is your customer with CAP Mobile Insight. With Billions of observations weekly, CAP makes it simple to understand where your customers originate and what is the path to purchase. CAP Mobile Insight provides aggregated Shopping Center visit counts on Block Group level in hourly increments and pre-built Trade Areas in various configurations. Accelerate your decision making and arm your team, from data scientist to executives, with CAP Mobile Insight.
Our fast and reliable API can supercharge your platform by streaming the most up-to-date Mobile Insight data right at your fingertips. Now you can have seamless data delivery and skip the data release cycles by getting instant access to every record in our datasets.
CAP has geo-fenced all major Shopping Centers to capture when consumers have entered a center, where did they come from and where did they go along the way. Why build predictive models of consumer behaviour when you can have access to the actual data? With over a billion observations a week, the Mobile Insight Dataset coupled with Shopping Center Geo-Fences provides massive insights into the consumer.
CAP has pre-built True Trade Areas in various configurations for more than 20,000 Shopping Centers using the Mobile Insight Dataset and Shopping Center Geo-Fences. Custom Reports, Aggregated Visits per Block Group and True Trade Area polygons are available for Mobile Insight Subscribers.
Retail & Restaurant
Retail & Restaurant
A must-have dataset for every platform in Site Selection and Market Analysis.
The ReCAP Retail & Restaurant dataset provides a complete, continuously updated view of today's Retail & Restaurant landscape, making it a highly desirable and invaluable tool for site selection, competitive intelligence and market analysis. ReCAP Retail & Restaurant is a comprehensive list of more than 1.2 million locations and features unique and persistent record ids and standardized Trade Name and Ownership information in more than 300 categories. The data is completely customizable and will work seamlessly with your current GIS system.
Our fast and reliable API can supercharge your platform by streaming the most up-to-date ReCAP data right at your fingertips. Now you can have seamless data delivery and skip the data release cycles by getting instant access to every record in our datasets.
ReCAP Retail & Restaurant can deliver what other providers cannot: a consistent view of retail and restaurant locations in a standardized format for all locations. Two datasets combined into one standardized layout with: Unique and Persistent ids, Trade Name, Ownership and Category information for all records.
An industry first! As in our CAP Shopping Centers dataset, our subscribers do not have to reload all records for each release. Our unique and persistent ids do not break your existing reports or your tracking lists with each update. By providing Delta Reports, CAP ensures that you know exactly what has been updated, verified or closed throughout each release, eliminating repetitive data loading and data matching from your end in every data update cycle.
For over 14 years, CAP has provided an in-depth categorization and sub-categorization scheme for ReCAP. With more than 300 categories, from Apparel to Supermarkets, and from Fine Dining to QSR (Quick Service Restaurant) / Pizza, our Classification scheme allows seamless data selection and tracking.
The ReCAP Retail dataset is a complete and continuously updated dataset that is thoroughly verified for accuracy and completeness using the most reliable sources available. ReCAP Retail doesn't include non-retail locations, corporate offices, and distribution points. All records are individually researched and verified in a rigorous quality assurance process making it the most accurate and comprehensive Retail List on the market.
The data is compiled straight from the source of thousands of retail chains and our directory is kept updated by monitoring hundreds of news sources in all of our 186 different classifications.
You can purchase only what you need - customized files on specific attributes for individual Trade Names or Categories.
Our fast and reliable API can supercharge your platform by streaming the most up-to-date ReCAP data right at your fingertips. Now you can have seamless data delivery and skip the data release cycles by getting instant access to every record in our datasets.
Retail Trade Names: 8,832
Retail Locations: 1,118,588
Categories: 222
Sub Categories: 142
93% Geocoded at Rooftop or Address Level
100% Fill-In Rate for Category, Class, SIC and NAICS Codes
Unique and Persistent Location ID
Unique and Persistent Mall ID (if Located in a Shopping Center)
Unique and Persistent Trade Name ID
Trade Name and Ownership Information
Full Address & Coordinates (Rooftop & Address Level)
Contact Information
Square Footage
Categorized by Restaurant Class and Sub-Class
Multiple Levels of Geographies: BG, County, DMA, CBSA
Trade Areas and Sales Estimates are available for custom projects - not part of regular release schema.
ReCAP Restaurants provides complete coverage from small to large restaurant chains in both the US and Canada. The dataset is classified in 6 main categories and 42 sub-categories, enabling enhanced tracking and targeted selections in a standardized format.
Our fast and reliable API can supercharge your platform by streaming the most up-to-date ReCAP data right at your fingertips. Now you can have seamless data delivery and skip the data release cycles by getting instant access to every record in our datasets.
Restaurant Trade Names: 8,237
Restaurant Locations: 263,809
Categories: 6
Sub Categories: 42
93% Geocoded at Rooftop or Address Level
100% Fill-In Rate for Category, Class, SIC and NAICS Codes
Quick Service Restaurant: 151,035
Snack: 53,241
Casual Dining: 31,880
Full Service Restaurant: 19,824
Quick Casual: 6,050
Fine Dining: 1,779
Unique and Persistent Location ID
Unique and Persistent Mall ID (if Located in a Shopping Center)
Unique and Persistent Trade Name ID
Trade Name and Ownership Information
Full Address & Coordinates (Rooftop & Address Level)
Contact Information
Square Footage
Categorized by Restaurant Class and Sub-Class
Multiple Levels of Geographies: BG, County, DMA, CBSA
Trade Areas and Sales Estimates are available for custom projects - not part of regular release schema.