Best Retail Store Datasets, Databases & APIs

What is Retail Store Data?

Retail store data is information about the different types of retail stores and their effectiveness in the market. This includes a supermarket, department stores, hypermarkets, discount stores, and convenience stores. This data also includes sales data by category, operational data, customer data, and inventory data. Retail strategies and retail distributions are likewise part of the retail store data. This data also includes the number of retail stores available in an area and how popular they are in the area.     

How is Retail Store Data collected?

Retail Store Data is collected in various ways and sources. They are collected through online customer satisfaction surveys/forums, websites, manufacturer’s databases, the government, and the retail industry. Every retail store provides data that is based on their performance. The raw data is collected in the form of graphs, sales charts, customer satisfaction meter, and ROI models, These are then analyzed and cleaned to curate a more in-depth analysis of retail stores. Retail store data is useful in analyzing the 4ps of marketing: product, price, promotion, and place.  

What are the typical attributes of Retail Store Data?

Insights available from a retail store dataset are quite comprehensive, so here are the typical attributes you might encounter:

• Sales data: this refers to the generated sales of the retail store. This includes the percentage of ROI of retailers, sales promotion, and discounts scheme.
• Operational data: this refers to the cost of operation, workforces, direct competitors, and suppliers, and distributors.
• Customer data: this refers to their personal information, brand preferences, and buying patterns.
• Inventory data: this refers to the storage capacity of a store and its expenses. This also includes monitoring of the product’s shelf life and its probability of being sold before expiring.

What is Retail Store Data used for?

Retail Store Data is used by marketers and investors. They use it to analyze profitable market trends and marketing strategies and do a SWOT analysis to compare a store to its competitors. This data also improves customer satisfaction and retaining customers. This data also helps investors pick the best suppliers and distributors in the location. Retail store data also helps investors gain insights based on profitable retail stores and duplicate their marketing strategy.

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

Before buying Retail Store Data, users must secure that the data providers provide accurate, real-time, and clean data. See to it that data sources are included, and the process of extracting clean data is mentioned. Users can also read online reviews to filter bad reviews. Data providers should have 24/7 customer service in case users have questions and follow-ups. Users can also ask for a data sample to see if it fits their needs.
 

Where can I buy Retail Store Data?

Data providers and vendors listed on Datarade sell Retail Store Data products and samples. Popular Retail Store Data products and datasets available on our platform are Bright Data | eCommerce Data - Global Coverage - Pricing Data, Seller Ratings Data, Customer Reviews Data by Bright Data, Online Retail Database | eCommerce Stores List 2022 | 5 Million eCommerce Stores Worldwide | 15+ eCommerce Platforms | Real-Time Verified Data by Lead for Business, and Automaton AI Video Data - video of products in a retail store by Automaton AI.

How can I get Retail Store Data?

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

What are similar data types to Retail Store Data?

Retail Store Data is similar to Retail Market Data, Retail Location Data, Retail Sales Data, and Kirana Data. These data categories are commonly used for Retail and Retail Analytics.

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

The top use cases for Retail Store Data are Retail, Retail Analytics, and Retail Site Selection.