Best Store Location Datasets, Databases & APIs

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35 Results
5.0(17)

Location Data | Global Store Location Data on 11M+ POI | SafeGraph Places

by SafeGraph
Business location data on global points of interest (POI), such as store, brand, address, location, lat ... SafeGraph Places is a business and store location data offering with varying coverage depending on the
Available for 182 countries
11M POI (Points of Interest)
2 years of historical data
Starts at
$179 / purchase
Free sample available
5.0(2)

Locationscloud - Grocery Store Location Data | Complete List of All Grocery Store Locations | USA

by Locationscloud
Along with state-wide store location data, available for all grocery chains in the US. ... Get the complete list of all grocery store location datasets for USA locations.
Available for 1 countries
100 Records
Pricing available upon request
5.0(1)

Sales Forecast Data and Best Retail Store Location Finder (USA & LATAM) by PREDIK Data-Driven

by Predik Data-driven
Mathematical model for the identification of best areas for the location of points of sale. ... In addition to these data, the model is enriched with information on the population interested in a certain
Available for 22 countries
5 months of historical data
85% Model Accuracy
Pricing available upon request

Datahut Microsoft Store Location Data for USA (complete list of all Microsoft store locations)

by Datahut
This is a complete list of all Microsoft store locations, along with their geographic coordinates, Street ... This is a complete list of all Microsoft store locations, along with their geographic coordinates, Street
Available for 1 countries
100 records
Starts at
$500 / purchase
Free sample available
5.0(17)

Location Data | US and Canada Foot-Traffic and Aggregated Location Data | Visit Attribution

by SafeGraph
, answering how often people visit, how long they stay & where they came from, Location data for place ... This location data product contains aggregated raw counts of visits to POIs from a panel of mobile devices
Available for 2 countries
4.4M POI
3 years of historical data
Starts at
$0.10 / purchase
Free sample available

DataWeave: Digital Shelf Analytics - Ecommerce Store Data

by DataWeave
Track and improve your product availability and pricing across retailers, even at a store-level.
Available for 13 countries
90% Accuracy
Available Pricing:
Yearly License

Xtract.io - POI ( Point-of-Interest ) Location data for US, UK, & Canada. 3 million POI locations data

by Xtract
They also create on-demand polygons for any given location across different POIs. ... Polygon data is further extracted and referred to the aerial view and in maps.
Available for 3 countries
3M POI database
Pricing available upon request

#Crosswalk by Stirista: Behavioral Intent Visitors Location Data

by Stirista
Our behavioral location data is sourced from proprietary SDK and app partnerships that track billions ... data points to business locations.
Available for 1 countries
1B unique devices
1 years of historical data
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based

Wult Point of Interest (POI) Data Globally available (name, location, opening times, category, brand data)

by Cleardata
We have all the standard info such as Name, location, opening times etc. ... Along with this we have interesting meta data such as category and brand data.
Available for 240 countries
Pricing available upon request

Unacast - International Location (geo data) data. Aggregated. 15 billion data points a day

by Unacast
Decision-ready location data. For decision-makers and their data scientist peers. ... Only expose aggregated population trends, never individual data.
Available for 1 countries
Pricing available upon request
10% Datarade discount
Free sample available
50% revenue share
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Lifesight
Based in USA
Lifesight
Lifesight is a data & analytics company specializing in customer intelligence. We collect, enrich and distribute high quality online and offline consumer beh...
5.2 B
Event per Day
1.6 B
Consumer Profiles
7000+
Brands Tracked
datarade.ai - SafeGraph profile banner
SafeGraph
Based in USA
SafeGraph
SafeGraph is a data company that builds datasets on the physical world for teams at ESRI, Microsoft, Sysco, and Goldman Sachs. Our high-precision Places data...
7.1M
POI in US and CAN
5,500+
Brands in US and CAN
>90%
Fill Rates
datarade.ai - Locationscloud profile banner
Locationscloud
Based in USA
Locationscloud
Locationscloud is the headmost locations Data scraping Service provider around the globe. Our location Intelligence service serves accurate and up-to-date da...
datarade.ai - Tamoco profile banner
Tamoco
Based in United Kingdom
Tamoco
Tamoco provides first party mobile geospatial data to understand people movement, store visits and other physical world behaviours.
Accuracy
Individual store level data
Scale
Global coverage
Open
Transparent methodologies
datarade.ai - DataWeave profile banner
DataWeave
Based in Singapore
DataWeave
DataWeave is an AI-powered SaaS platform that provides Competitive Intelligence as a Service to consumer brands and eCommerce businesses, enabling them to co...
Up to 46%
top line growth
Up to 3X
bottom line growth
datarade.ai - Shopgram profile banner
Shopgram
Based in Canada
Shopgram
Shopgram is a search engine of Shopify stores and products. More than a Million Shopify stores and 15 Million Shopify products crawled and counting. If...
1000+
Users
Global
Coverage
1000000
Stores Indexed

The Ultimate Guide to Store Location Data 2022

Learn about store location data analytics, sources, and collection.

What is Store Location Data?

How do you determine if a site is a good location for a new store? Even if it is a good site in a good location, how can you be sure your particular store will do well there? When siting a new retail store, getting the right location is everything. It can determine whether your new store thrives or dives. So how can you be sure you make the right decision and pick the location with the best business potential? More powerful technology has made more and richer data available to help with these decisions. Data which has never been available in such complexity before and which can make you more certain of success. Retail site selection is not only becoming more crucial and difficult; it is also becoming more valuable than ever. Retail Store Location Data helps companies decide on the best locations to expand their business. It does this by combining different types of data to get the most accurate insights. It allows businesses to investigate potential areas and quantify how robust they are and identify the local population make-up. It can provide information on the locations of other stores, including the stores of competitors, and identify areas that are growing and shrinking. It can provide information on areas of increasing or decreasing foot traffic.

Who uses Store Location Data and for what use cases?

All businesses can benefit from using Store Location Data analytics in their intelligence and decision making. With location intelligence, you can detect patterns and improve location based marketing. Historical analysis and present and future forecasts can be gathered from this data so you can make better decisions and choices on where to site your new business. You can’t remain in business unless there are people in your location willing to come into your new store and purchase from you. But even knowing you have the right type of customers nearby right now is only half the battle. What about five years from now, or ten, or fifteen? Store Location Data not only gives you the relevant insights on where to site your store today, but can make predictions on how your business is likely to progress in the future. Store Location Data can help in other ways. It can help identify untapped markets. It can provide insights on where to source raw materials. Store Location Data will make sure you are better equipped all round to find the perfect location for your new business.

A good Business Location Data system should flag up any concerns on your store placement. It should also make you aware of any potential opportunities. It should keep you informed of any potential competitors in your proposed area and can supply demographics on existing stores in the area. The customized analysis and demographics supplied by your Store Location system allows your company to make better informed decisions.

The demographics of the particular potential customers in your proposed area may affect how you want to present your store. Is the local population a young, smart urban set or a rural community of older retirees? Store Location Data demographics can suggest a customer-centric approach that will appeal to the particular demographic groups in the proposed site area. Other information your Store Location data may take into account are consumer behaviours and traffic patterns.

Accurate count and analysis of footfall trends, supplied at a granular level, will enable forensic insights into flow and trends around a physical space. Local area demographics and potential consumer behaviour datasets give insights into whether an area is the optimum site to locate a new store. Store Location Data analytics helps you evaluate potential customers and profile them using data analytics for consumer classifications, to measure market demand in a potential area and if the area contains your ideal customer base. Opening a new store is a major decision and an expensive undertaking. Markets are demanding and finding the right customers who will be attracted to your new businesses location is key. Identifying sites businesses can target for expansion is a valuable part of your business decisions going forward. In retail, it’s important to stay ahead of your competitors in any way you can. Using Retail Location data means you can be sure you are locating your new business in the best site to achieve optimum revenue.

What are typical Store Location Data attributes?

Store Location Data provides information about locations you may wish to build a store. Users can simulate location-built applications to activate interactions. You can click on the area on the map you are considering building your store to trigger the interactions you have set up. Typical Store Location Data attributes include: Latitude and Longitude - which show the position of the location. Additional attributes such as Horizontal Accuracy - which highlights the degree of error in a particular data point, and Altitude and Elevation - which pinpoint the height above a reference point (usually sea level), may be included for a more accurate picture of geographical positions. Foot traffic can be built in as an attribute in a customised system.

How is Store Location Data typically collected?

It is important to know how Store Location Data is collected as this determines the accuracy and depth of the collected data. This has direct implications for the suitability and usability of the data for your business. Typically Store Location Data is collected by data collection providers by way of SDKs (software development kits). SDKs are really useful as they contain a collection of development tools built into one package, such as a compiler, debugger, and software framework, enabling customised applications to be designed.

Companies usually purchase Store Location data from data providers. A company would give data collection providers details about the data they would like to have, such as foot traffic in an area or how many competitive companies in a given area. The data collection provider would then use POIs (points of interests) combined with other types of location data such as catchment area analysis to supply data that fits your needs, based on your requirements.

The data collection provider gathers Store Location Data by cross mapping and analysing the geolocated data, performs quality checks, and provides companies with it in raw form. If you require it, they will clean the data and supply it in a form that you just have to load into your system. The Store Location Data provider may also supply you with areas of concern they have identified and areas of opportunity relevant to your business. As more datasets are added and combined, more information will become available to enhance the value of data analytics for businesses and allow companies to understand data sets in a way that was previously unimaginable.

How to assess the quality of Store Location Data?

The quality of the data you receive is paramount to the success of your business but can vary from one data provider to another. The Store Location Data provided to you will be of no use or even harmful to your business if it is not good quality data. So how do you ensure you receive good quality Store Location Data which is complete, timely and valid? There are some steps you can take:

  • Ensure you buy from a reputable company.
  • Get recommendations from other companies already using a Location Store Data provider
  • Ensure the provider has best-practice rules in place, up-to-date protocols and encryption mechanism
  • Monitor the Store Location Data for accuracy over time
  • Use AI systems to monitor for incomplete records and double entries
  • Ensure alerts and trust scores are built in

How is Store Location Data typically priced?

Prices for data analytics varies greatly depending on the kind of data you require. Store Location Data analytics typically can cost up to several thousand dollars a month, which is paid by monthly subscription. Many businesses consider this reasonable compared to the losses incurred by siting a potential business in a disadvantageous location. Prices may drop as computer power becomes more readily available. But if you wait to purchase Store Location data until prices drop, you may find you have already lost out to competitors.

What are the common challenges when buying Store Location Data?

There are several challenges for companies when purchasing Store Location Data, such as:

  • ensuring you receive real time, up-to-date data and not data that is outdated
  • ensuring the data you receive is unique to your company and completely fulfils your needs; and not stale data that is being sold to multi companies, including your competitors
  • ensuring data is good quality

Take your time when first using Store Location Data. Where to site a new store is not a decision to be treated lightly. Test and retest your system, using varied questions to get the optimal results. Although setting up a Store Location Data analytics systems may take a bit of time at first, it will be worth it when your new store starts generating loads of revenue.

What to ask Store Location Data providers?

There are a number of questions companies should keep in mind when talking to data providers. Businesses may want to ask:

How can I get Store Location Data?

You can get Store Location Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Store Location Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Store Location Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Store Location Data?

Store Location Data is similar to Business Listings Data, Electric Vehicle Charging Stations Data, POI Visitation Data, Restaurant Location Data, and Business Location Data. These data categories are commonly used for Store Visit Tracking and Retail Intelligence.

What are the most common use cases for Store Location Data?

The top use cases for Store Location Data are Store Visit Tracking, Retail Intelligence, and Location Planning.