What is Store Location Data? Examples, Datasets and Providers
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Store Location Data?
Store location data refers to information that identifies the physical locations of stores or businesses. This data is valuable for businesses to analyze customer behavior, optimize store placement, and provide personalized services based on geographical proximity.
What Are Examples of Store Location Data?
Examples of store location data include datasets that provide insights into retail locations and their attributes. Key examples include:
- Store Addresses: Exact locations of retail stores, including street names and postal codes.
- Geocoded Data: Latitude and longitude coordinates for mapping and analysis.
- Operational Details: Store hours, available services, and amenities.
- Customer Foot Traffic Data: Visitor counts and patterns at specific stores.
- Catchment Area Data: Geographic regions from which a store attracts customers.
- Nearby POIs: Details of surrounding landmarks or businesses that influence customer traffic.
Best Store Location Databases & Datasets
The best store location datasets provide actionable insights into customer demographics, geographic trends, and market conditions. Datarade offers a curated selection of store location datasets, chosen for quality, accuracy, and trusted providers where you can buy store location data.
Store location data | 164M Commercial Places - Stores | Global Retail Store Location Data
CPG Data | Retail Store Location Data | 52M+ POI | SafeGraph Places
Store Location Data | Park & Ride Locations in US and Canada | Polygon Data | Location Insights
Store Location Data | Global Insights for Location-Based Strategies | 137M+ Buildings
Store Location Data | 230M+ Global POIs & Retail Locations | 5000+ Categories with Restaurant, Retail & Business Coverage
Ecommerce Data | Store Location Data | Global Coverage | 61M+ Contacts | (Verified E-mail, Direct Dails)| Decision Makers Contacts| 20+ Attributes
Store Location Data | Asia/ MENA | Latest Estimates on Population, Demographics, Consuming Class, Retail Spend | GIS Data | Demographic Data
Geospatial Data | Places Data | Polygon Data | GIS Data | Store Location Data | Global Coverage
Grepsr | Comprehensive Dataset of Fast-food Chains' Store (Starbucks, Mcdonalds, Subway, & more) Location
Factori Geospatial Data | Global | Location Intelligence | POI , Foot Traffic, Store Visit
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Top Store Location Data Providers & Companies
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InfobelPRO
CoverageUSAUK+248VI got into a discussion with the Infobel team to then finalize the deal to enrich our applications with information on companies (so B2B data). All data is provided through APIs, allowing our customers to search for company details whenever they need it (for prospection, validation, etc.). It has been nearly a year now, and we're happy with the data we got and with the collaboration itself. Best
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Xtract
CoverageUSAUK+248VIt has been a great experience working with Xtract.io. Their data quality was top-notch, helping us strategize new locations for business expansion. Thank you, team, for giving us the right datasets that we require to expand our store outlets.
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SafeGraph
CoverageUSAUK+248VWe are using safegraph data to research on the foot traffic of airports in the U.S. We find it very helpful with lots of documentation. The customer support is awesome. You can post in the slack channel and got a response very quickly
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GapMaps
CoverageUSACanada+153VWe use GapMaps’ data offering extensively to identify and approve locations for Anytime Fitness sites across Southeast Asia. This data helps Inspire Brands Asia make informed decisions, ensuring that each new gym location meets our strategic criteria and has the potential for success. The insights from GapMaps enable us to understand market demographics, competition, and accessibility, which are crucial for our expansion plans.
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CAP Locations
CoverageUSAUK+1CAP (Competitive Analytics Professionals) is the leading provider of Location Data in the United States, Canada and Great Britain.46K+Shopping Centers7.81B+Total Retail GLA Tracked98%Centers Geofenced -
xavvy
CoverageUSAUK+248Xavvy is a Data Provider offering high Quality Gas Station Data as well as Price Data for Fuel, Diesel and Additives like AdBlue/DEF and Price Forecasts for all Countries in Europe and North America. We offer APIs customized to our customer needs.250k+Gas Stations worldwide400+Gas Station Attributes90%+Market Coverage
Popular Use Cases for Store Location Data
Store location data supports a variety of business functions, from site selection to marketing optimization. The most common are:
- Retail Site Selection: Identifying the best locations for new stores based on demographic and traffic data.
- Store Visit Attribution: Measuring how marketing campaigns drive foot traffic to specific stores.
- Location Planning: Strategically evaluating regions for business expansion.
- Point of Interest (POI) Mapping: Analyzing surrounding businesses and landmarks to gauge customer attraction.
- Catchment Area Analysis: Defining and analyzing the geographic area where a store draws its customers.
- Competitor Benchmarking: Evaluating store performance relative to nearby competitors.
- Customer Segmentation: Categorizing customers by geographic and demographic factors.
- Retail Optimization: Adjusting product offerings and layouts based on store demographics.
Main Attributes of Store Location Data
Store location data includes a variety of attributes that help businesses make informed decisions about site selection, performance analysis, and market trends.
- Store Name: The official name of the retail outlet.
- Coordinates: Latitude and longitude for precise geographic placement.
- Address: Full address details, including city, state, and zip code.
- Accessibility: Parking availability and proximity to public transport.
- Operating Hours: The hours during which the store operates.
- Traffic Flow: Pedestrian and vehicle movement data near the store.
- Catchment Area: Geographic regions contributing to store visits.
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 189 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 175 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 169 datasets | |
| String | The name of a city. | View 149 datasets | |
| String | The name of a brand. | View 137 datasets | |
| String | The postal code of an address. | View 130 datasets |
Frequently Asked Questions
How Accurate is Store Location Data?
Accuracy levels can vary, but many providers offer a match rate of 80% to 95% or higher. Accuracy is especially critical for businesses that rely on precise location data for marketing, site selection, or geofencing. For highly accurate data, we suggest choosing providers that offer manual verification or polygon mapping techniques.
How Frequently is Store Location Data Updated?
Store location data is updated at various intervals, ranging from weekly to yearly, depending on the provider and use case. Some datasets even offer real-time updates, which are particularly useful for monitoring changes like store openings and closures. We recommend selecting a provider that aligns with your business needs — for example, if you’re in a fast-moving industry like retail, frequent updates (monthly or even weekly) can ensure you’re working with the most current data.
How is Store Location Data Delivered?
Store location data can be delivered in a variety of formats such as .csv, .json, or .xls, depending on the provider. Delivery methods include cloud storage (S3 buckets), email, or API integration, making it easy to access and incorporate into your systems. For businesses with real-time or continuous data needs, API integration is a highly recommended option.
How Much Does Store Location Data Cost?
The cost of store location data can vary based on several factors, including the dataset’s size, geographic coverage, and update frequency. For example, some pricing models start at $0.10 per record for one-off purchases, while more comprehensive datasets can cost upwards of $30,000 annually. Many providers offer free samples on Datarade, so you can test the data before making a full commitment. We recommend taking advantage of these samples to ensure the data meets your needs.
What Geographic Areas Are Covered by Store Location Data?
Store location data typically provides broad geographic coverage, with some datasets offering information across more than 180 countries. If your business operates internationally, we suggest confirming the geographic coverage of the dataset to ensure it meets your expansion or analysis needs.
Can Store Location Data Be Integrated with Other Data Types?
Yes, store location data can often be combined with other types of data, such as demographic information, foot traffic analysis, and customer sentiment data. Integrating different datasets can offer richer insights, such as understanding customer behavior in relation to store locations or tracking competitive store footprints. We recommend combining store location data with additional geospatial or demographic datasets for a more complete market analysis.
Can I Request Custom Store Location Data?
Absolutely! Many providers offer customized datasets based on your specific business needs. Whether you need specific geographic regions, additional attributes like foot traffic or customer sentiment, or tailored delivery formats, custom store location data can be crafted to meet your requirements.
