Best Retail Location Datasets, Databases & APIs

What is Retail Location Data?

Retail location data is information on a specific retail location. Where the store is located, which competitors are near them, how much revenue they make, the number of customers they get, their parking situation, store hours, grand openings and other events that happen, any sort of specialty services they offer, and more. This information is ideal to have to identify competitors (companies who operation in the samr niche as your business) in a given location.

How is Retail Location Data collected?

Any sort of retail location data that is collected is collected through scraping the internet. They pick up information on each retail location based on their addresses, what they are offering, hours, and more. The database then sorts them based on where they are located. This then ensures that all of the information scraped from the internet is neatly compiled into one place so it can be used or purchased through those who want more insight into the retail space.

What are the attributes of Retail Location Data?

Retail location data has a few attributes that make it stand out, but also makes it easier than ever to use. The attributes include, but are not limited to the address of the retail space, type of space, their nearby competitors, when they open and close, any special events or specific services such as pick up or drop off that they are offering, subsideries, and so much other information is provided through retail location data.

What is Retail Location Data used for?

The data is used by any companies that want to enter into the same space or even in the same area as these businesses. Having this information can provide more insight on how well your company might do in the same setting, or even if you are choosing to move next to them. This data is also helpful at predicting customer trends that might come about. This can help retailers introduce new products or services but also have an idea of how it worked out for other businesses that are in the same industry as them.

How can a user assess the quality of Retail Location Data?

The data that is collected is assessed and analyzed through a number of ways. One of the best ways to ensure that retail location data is quality assessed is through the accuracy of what is presented. This information that is compiled must also be up to date so that the user is getting the most current retail intelligence.

Where can I buy Retail Location Data?

Data providers and vendors listed on Datarade sell Retail Location Data products and samples. Popular Retail Location Data products and datasets available on our platform are Geolytica POIData.xyz Points of Interest (POI) Geo Data - China by Geolytica, Sales Forecast Data and Best Retail Store Location Finder (USA & LATAM) by PREDIK Data-Driven by Predik Data-driven, and Locationscloud - Bank Location Data | Complete List of Bank Locations | USA | Canada | UK by Locationscloud.

How can I get Retail Location Data?

You can get Retail Location Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Retail 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 Retail Location Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Retail Location Data?

Retail Location Data is similar to Retail Market Data, Retail Store Data, and Retail Sales Data. These data categories are commonly used for Location Intelligence and Retail Site Selection.

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

The top use cases for Retail Location Data are Location Intelligence, Retail Site Selection, and Retail Intelligence.