What is Store Location Data? Examples, Datasets and Providers

How is Store Location Data Used?

Store location data is widely utilized for several purposes, including retail site selection, foot traffic analysis, and location-based marketing campaigns. It helps businesses understand where their stores or competitors are located, analyze market trends, and identify opportunities for expansion. If you’re considering opening new locations or optimizing your supply chain, store location data can provide the insights needed to make strategic decisions.

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.