What is Retail Store Data? Examples, Datasets and Providers
What is Retail Store Data?
Retail store data is information collected and analyzed from various sources within a retail establishment. This data helps retailers make informed decisions regarding pricing, promotions, inventory management, and customer experience, ultimately improving their overall performance and profitability.
What Are Examples of Retail Store Data?
Key examples include:
- Foot Traffic: Counts of visitors entering the store, peak times, and customer flow within the store.
- Sales Data: Revenue per location, average transaction size, and units sold.
- Inventory Levels: Real-time stock availability, shelf restocking needs, and item turnover rates.
- Customer Demographics: Basic profile information like age, gender, and shopper frequency.
- Promotion Performance: Effectiveness of in-store promotions, discounts, and product displays.
- Point-of-Sale (POS) Data: Detailed transaction data, payment methods, and checkout times.
- And more.
Best Retail Store Datasets & APIs
Xtract.io - Retail Store Data | POI Data | Shopping And Retail Store Locations In US And Canada
CPG Data | Retail Store Location Data | 52M+ POI | SafeGraph Places
Retail Transaction Data | Retail Store Data | Retail Sales Data | Global Coverage Local Precision | Trusted by 600 + Businesses
Plugindata | Retail & Store Business Listings Data: 38M+ Listings Across 150+ Countries, B2B Leads Data, Targeted Marketing
Reomnify | Global Store Location Data | Places Data: Categorized Branded Retail Locations
Consumer Edge Vision Europe Retail & In-Store Sales Data | Austria, France, Germany, Italy, Spain, UK | 6.7M Accounts, 5K Merchants, 600 Companies
Global Convenience & Grocery Store Data | Points of Interest (POI)
Grepsr | Nordstrom Store Address, Contact Information, Rating |Global Coverage with Custom and On-demand Datasets
Buy eCommerce Leads | eCommerce Leads Database 2024 | eCommerce Lead List with Store Owner Contact Details | 100% Real-Time Verified Data
Xtract.io - Retail Store Location Data | Retail Warehouse Data | POI Data | Walmart And Sam's Club In US And Canada
Monetize data on Datarade Marketplace
Top Retail Store Data Providers
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.
-
BestPlaceBased in USABestPlace is a proven research and predictive geoanalytical tool that provides end-to-end visibility of local shopper patterns. We focus on quality of our p... -
Bright DataBased in USABright Data is a leading data collection platform, which enables our customers to collect data sets from millions of websites through our proprietary technol... -
SafeGraphBased in USASafeGraph is a data company that builds datasets on the physical world for teams at ESRI, Microsoft, Verizon, and Mapbox. Our high-precision Places dataset c...
Retail Store Data Use Cases
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.
- Overview
- Datasets
- Providers
- Use Cases
- Guide