Retail Sales Data: Examples, Providers & Datasets to Buy
On This Page:
- Overview
- Datasets
- Providers
- Attributes
- Guide
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Attributes
- Guide
- FAQ
What is Retail Sales Data?
Retail sales data captures transaction-level details on consumer purchases, helping businesses analyze market demand, revenue trends, and shopper behaviors. This data is collected from various sources, including point-of-sale systems, e-commerce platforms, and financial institutions.
With retail sales data, businesses can improve inventory management, personalize marketing efforts, and benchmark sales performance against competitors. Many datasets also integrate geolocation insights to analyze spending trends across different regions.
What Are Examples of Retail Sales Data?
Retail sales data includes key metrics related to consumer transactions and spending data. Examples include:
- Spend Amount: Total expenditure by consumers within a given period.
- Transaction Amount: Value of individual purchases, categorized by product or service.
- Transaction Count: Number of sales completed within a time frame.
- Spenders Account Count: The number of unique consumers making purchases.
- Purchase Frequency: How often consumers shop within a specific category.
- Origin Data: Geographic details such as state, city, and postal code.
- Category Data: Breakdown of sales by product type, brand, or industry sector.
- Payment Method: Distribution of transactions by credit, debit, cash, or digital payments.
Access the Best Retail Sales Databases & Datasets
The best retail sales datasets provide real-time and historical transaction data to help businesses track consumer trends and spending behaviors. Datarade offers a curated selection of retail sales datasets from trusted providers, enabling businesses to make data-driven decisions.
Retail Transaction Data | Retail Store Data | Retail Sales Data | Global Coverage Local Precision | Trusted by 600 + Businesses
Consumer Edge Vision Europe Retail & In-Store Sales Data | Austria, France, Germany, Italy, Spain, UK | 6.7M Accounts, 5K Merchants, 600 Companies
Envestnet | Yodlee's De-Identified Retail Sales Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts
Global Retail Data | Retail Store Data | In-Store Data | Retail POI and SKU Level Product Data from 1M+ Locations with Prices
Consumer Transaction Data | UK & FR | 600K+ daily active users | Retail - Footwear | Raw, Aggregated & Ticker Level
Gaia Retail | Weather Intelligence SaaS Platform
Consumer Edge Vision EUR Retail & Ecommerce Sales Data | Austria, France, Germany, Italy, Spain, UK | 6.7M Accounts, 5K Merchants, 600 Companies
Grocery Data | Food Data | Food & Grocery Data | Industry Data | Grocery POI and SKU Level Product Data from 1M+ Locations with Prices
Consumer Transaction Data | UK & FR | 600K+ daily active users | Retail - Softlines | Raw, Aggregated & Ticker Level
Envestnet | Yodlee's De-Identified Shopper Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts
Can't find the data you're looking for?
Let data providers come to you by posting your request
Post your request
Top Retail Sales Data Providers & Companies
-
ExactOne
CoverageUnited KingdomFranceData that gives your business an edge ExactOne enables you to analyse sales trends and performance drivers by named merchants and categories -...Daily Active UsersTickersMerchants Categorised -
Envestnet | Yodlee
CoverageUSAEnvestnet® | Yodlee® is a market leader in de-identified consumer spend/income data. We tag thousands of public and private companies to billions...Active usersHistoryLatency -
Consumer Edge
CoverageUSAUnited Kingdom+5Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. Transaction data, scanner data, web...Credit & Debit CardsPublic & Private BrandsParent Companies -
MealMe
CoverageUSAUnited Kingdom+248MealMe delivers real-time product availability data from restaurants, grocery stores, and retail stores. Our proprietary technology empowers...Top 100 CoverageTop 1000 CoverageTop 100 Coverage -
Snapbizz
CoverageIndiaRetail Innovation, Mobile Based disruptive business model, Cloud connected, Consumer goods industry, Android Based technology, Digital Visibility,...Basket captured per dayConsumer infoTransaction value per month -
Huq Industries
CoverageUSAUnited Kingdom+247VHuq’s data is real-time and that makes the data in the TE dashboard even stronger and more valuable. Both local and central government bodies will be able to use it to get a clearer picture of the real economic impacts of Covid-19 across the country. Benjamin Lucas (PhD, FHEA), Managing Director at 3DI
Main Attributes of Retail Sales Data
Retail sales datasets include multiple attributes that provide granular insights into purchasing behaviors.
- Transaction Date & Time: Timestamp of each recorded sale.
- Product Details: SKU, category, and brand of purchased items.
- Sales Channel: Identifies whether the purchase was made in-store, online, or through mobile apps.
- Customer Demographics: Age, gender, and income brackets linked to transactions.
- Basket Size: Total number of items in a single transaction.
- Seasonality & Trends: Patterns in purchasing behavior based on time of year.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a location. | View 38 datasets | |
| String | The postal code of an address. | View 38 datasets | |
| String | The name of a company or business, might be the legal or brand name. | View 36 datasets | |
| String | The industry classification of a company. | View 31 datasets | |
| String | The name of a country. | View 31 datasets | |
| String | The approx. number of employees working for a company. | View 30 datasets |
Why Is Retail Sales Data Important?
Retail sales data is essential for businesses aiming to improve customer engagement, optimize pricing, and maximize profitability. Companies can adjust their marketing strategies and inventory levels to align with shifting consumer demand.
Retailers use this data to enhance loyalty programs, refine product assortments, and evaluate the impact of discounts. Meanwhile, financial institutions and investors rely on retail sales data to assess economic health and predict market trends.
For example, an e-commerce retailer can use transaction data to personalize recommendations, while a shopping mall operator can analyze foot traffic patterns to attract high-performing tenants.
2025 Retail Sales Outlook
Global Trends
Retail sales in 2025 are expected to benefit from a recovering global economy, with digital transformation and AI-driven personalization shaping the industry’s future. Businesses are shifting towards hyper-personalized shopping experiences, optimizing omnichannel strategies, and leveraging automation to enhance efficiency. Despite lingering supply chain challenges and inflationary concerns, retailers who invest in data-driven decision-making and alternative revenue streams will gain a competitive edge in 2025.
U.S. Market Outlook
In the United States, retail sales growth is projected to continue at a steady pace, supported by strong consumer spending and easing inflation. Digital commerce will expand further, with retailers focusing on shoppable media, in-house delivery services, and loyalty program enhancements. However, competition will intensify as price-conscious consumers seek greater value, driving dynamic pricing strategies and targeted promotions.
European Market Outlook
Retail sales in Europe remain mixed, with some countries experiencing modest declines in volume while others see a gradual rebound. High costs and economic uncertainty continue to impact consumer confidence in 2025. However, investment in logistics, omnichannel experiences, and sustainability initiatives will drive growth, particularly in high-value product categories.
Frequently Asked Questions
Where Can I Buy Retail Sales Data?
You can explore our data marketplace to find a variety of Retail Sales 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 Sales Data Maintained?
The quality of Retail Sales 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 Sales Data Updated?
The update frequency for Retail Sales 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 Sales Data Secure?
The security of Retail Sales 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 Sales Data Delivered?
Retail Sales 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 Sales Data.
How Much Does Retail Sales Data Cost?
The cost of Retail Sales 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 Sales Data for your needs.
