Retail Store Data: Best Retail Store Datasets & Databases
What is Retail Store Data?
Retail store data is information collected and analyzed from various sources within a retail establishment. It includes data on sales, inventory, customer behavior, and other relevant metrics. This data helps retailers make informed decisions regarding pricing, promotions, inventory management, and customer experience, ultimately improving their overall performance and profitability.
Best Retail Store Data Databases & Datasets
Here is Datarade's curated selection of top Retail Store Data. These trusted databases and datasets offer high-quality, up-to-date information.
Unacast Retail Store Data - Global Retail Store Data - Current & Historical
Xtract.io - Point of interest (POI Data) | All Shopping and Retail Store Location Data in US and Canada
Plugindata | Retail & Store Business Listings Data: 38M+ Listings Across 150+ Countries, B2B Leads Data, Targeted Marketing
Grepsr | Nordstrom Store Address, Contact Information, Rating |Global Coverage with Custom and On-demand Datasets
Online Retail Database | eCommerce Stores List 2024 | 5 Million eCommerce Stores Worldwide | 15+ eCommerce Platforms | Real-Time Verified Data
SocialSift: Walmart USA Driving Distance based on Mobile Location | CSV File + Insights Report | Store ID + Lat/Long | Walmart Data Enrichment
Reomnify | Location Data | Branded Retail Locations | Categorised | Updated Monthly (Global)
BestPlace: POI Dataset, GIS Database, Census data for Retail CPG & FMCG analytics
Consumer Edge Scanner US Point of Sale Consumer Data | USA Data | Data from 100K+ Retail Stores, 250 Companies, 200 Symbols & Tickers, 5 Years History
aKQired Ecommerce Database - Shopify Stores, Retail Database [Owners, Emails, Phone]
Top Retail Store Data Providers & Companies
When choosing a retail store data provider, focus on getting accurate and high-quality data. Check the geographic coverage, data granularity, and provider reviews to ensure you’ll get relevant information.
Popular Use Cases
Retail Store Data plays a pivotal role in various business applications, offering valuable insights and opportunities across industries.
Retail Store Data Explained
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. Â
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.
Frequently Asked Questions
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 Unacast Retail Store Data - Global Retail Store Data - Current & Historical by Gravy Analytics by Unacast, Xtract.io - Point of interest (POI Data) | All Shopping and Retail Store Location Data in US and Canada by Xtract, and Plugindata | Retail & Store Business Listings Data: 38M+ Listings Across 150+ Countries, B2B Leads Data, Targeted Marketing by Plugindata.
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 In-store Data, Retail Sales Data, and Kirana Data. These data categories are commonly used for Retail Site Selection.
What are the most common use cases for Retail Store Data?
The top use cases for Retail Store Data are Retail Site Selection.