What is Retail Store Data? Examples, Providers & Datasets to Buy
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 Databases, Datasets & API
The best retail store datasets provide actionable insights into store performance, inventory, and customer demographics. This curated list features the top datasets and APIs, selected for accuracy, quality, and trusted providers where you can buy retail store data.
Point-of-Interest (POI) Data | Shopping & Retail Store Locations in US and Canada | Retail Store Data | Comprehensive Data Coverage
Retail Store Data | Retail & E-commerce Sector in Asia | Verified Business Profiles & eCommerce Professionals | Best Price Guaranteed
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
Retail Data | Retail Store Data | Global Shopping Centre Tenant Lists | Categorised and Brand-tagged
Store Location Data | Asia/ MENA | Latest Estimates on Population, Demographics, Consuming Class, Retail Spend | GIS Data | Demographic Data
Consumer Edge Vision Europe Retail & In-Store Sales Data | Austria, France, Germany, Italy, Spain, UK | 6.7M Accounts, 5K Merchants, 600 Companies
Global Independent & Multi-National Retail Location Data
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
Monetize data on Datarade Marketplace
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.
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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...
Popular Use Cases for Retail Store Data
Retail store data is vital for optimizing operations, understanding customers, and driving sales. Businesses use it for location analysis, identifying the best areas for new store openings or expansions. It supports inventory management, ensuring optimal stock levels and reducing waste. Additionally, sales analysis uses retail store data to evaluate performance and develop targeted marketing strategies, just to mention a few use cases.
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:
| Attribute | Description |
|---|---|
| Store Name | The official name of the retail store. |
| Location | Geographic coordinates, addresses, and regions of the stores. |
| Sales Metrics | Revenue, transaction counts, and average basket size. |
| Customer Demographics | Age, gender, and purchasing behavior of the store’s visitors. |
| Inventory Levels | Stock details, turnover rates, and replenishment needs. |
| Operating Hours | Store hours, including opening and closing times. |
| Competitor Data | Insights into competing stores nearby. |
| Employee Count | Number of staff members working in each retail location. |
How can I 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?
You can explore our data marketplace to find a variety of Retail Store Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.
How is the Quality of Retail Store Data Maintained?
The quality of Retail Store Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Retail Store Data Updated?
The update frequency for Retail Store Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Retail Store Data Secure?
The security of Retail Store Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Retail Store Data Delivered?
Retail Store Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Retail Store Data.
How Much Does Retail Store Data Cost?
The cost of Retail Store Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Retail Store Data for your needs.
What Are Similar Data Types to Retail Store Data?
Retail Store Data is similar to other data types, such as In-store Data, Retail Sales Data, and Kirana Data. These related categories are often used together for applications like Retail Site Selection.
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