Retail Transaction Data: Best Retail Transaction Datasets & Databases

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Eugenio Caterino
Editor & Data Industry Expert

What is Retail Transaction Data?

Retail transaction data is information collected from sales transactions conducted by retailers. It includes details such as the date, time, location, items purchased, quantities, prices, and payment methods. This data provides valuable insights into consumer behavior, sales trends, inventory management, and overall business performance.

Best Retail Transaction Databases & Datasets

Here is our curated selection of top Retail Transaction Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.

Logo of Huq Industries

Retail Transaction Data | Retail Store Data | Retail Sales Data | Global Coverage Local Precision | Trusted by 600 + Businesses

by Huq Industries
5.0
USA
China
Japan
+157
Pricing available upon request
Logo of Consumer Edge

Consumer Edge Vision Retention Data | CPG, Grocery, Food Delivery Psychographic | US Transaction | 100M+ Cards, 12K+ Merchants, Retail & Ecommerce

by Consumer Edge
USA
Free sample preview
Pricing available upon request
Logo of ExactOne

Consumer Transaction Data | UK & FR | 600K+ daily active users | Retail - Footwear | Raw, Aggregated & Ticker Level

by ExactOne
United Kingdom
France
Free sample preview
Pricing available upon request
Logo of Envestnet | Yodlee

Envestnet | Yodlee's De-Identified Retail Transaction Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts

by Envestnet | Yodlee
USA
Free sample preview
Pricing available upon request
Logo of Above Data

Above Data | Consumer Retail Transaction Data USA at SKU-Level (2 Billion SKUs covered)

by Above Data
USA
API available
Pricing available upon request
Logo of Scorri

Scorri|Brand shopping data with online &offline and location tagging|Postal Level Transaction|Consumer data| Digit Identifiers | Global

by Scorri
5.0
USA
United Kingdom
Free sample preview
API available
Pricing available upon request
Logo of Edison Trends

Edison Trends Retail + Apparel - Transaction Data from E-Receipts for USA, UK, Canada, Australia, India & Singapore

by Edison Trends
USA
India
United Kingdom
+3
Pricing available upon request
Logo of Growth Marketing

Ecommerce Transaction Sales Data – Parfum and Cosmetic

by Growth Marketing
Italy
Free sample preview
API available
Starts at
€25,000 / purchase
Logo of Consumer Edge

Consumer Edge Vision Competitor Intelligence & Analysis | Retail & Ecommerce Product Data | US Commerce Transaction Data | 100M+ Cards, 12K+ Merchants

by Consumer Edge
USA
Free sample preview
Pricing available upon request
Logo of ExactOne

Consumer Transaction Data | UK & FR | 600K+ daily active users | Retail - Softlines | Raw, Aggregated & Ticker Level

by ExactOne
United Kingdom
France
Free sample preview
Pricing available upon request

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Retail Transaction Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Retail Transaction Data.

What Are Examples of Retail Transaction Data?

Examples of retail transaction data include the following:

  • Date and Time of Purchase: Specific moment a transaction occurs.
  • Items Purchased: Details on products bought.
  • Quantity of Each Item: Number of units sold per item.
  • Price of Each Item: Cost per item, crucial for revenue strategies.
  • Payment Method Used: Information on transaction payments (e.g., cash, credit).

For instance, consider a transaction at an electronics retail store:

  • Date and Time of Purchase: June 1, 2024, at 3:45 PM.
  • Items Purchased: Laptop computer, wireless mouse, and USB-C hub.
  • Quantity of Each Item: 1 laptop computer, 1 wireless mouse, 1 USB-C hub.
  • Price of Each Item: Laptop computer - $1200, Wireless mouse - $25, USB-C hub - $30.
  • Payment Method Used: Credit card.

This specific transaction provides detailed data that can be used to analyze consumer buying patterns, manage inventory, and develop targeted marketing strategies.

How is Retail Transaction Data Collected?

Retail transaction data is collected through various systems and methods:

  • Point of Sale (POS) Data: Captures transaction details at purchase time.
  • Online Transactions: E-commerce platforms track purchases and payments.
  • Mobile Payment Systems: Apps and mobile solutions record transaction data.
  • Customer Loyalty Programs: Collects data from purchases linked to loyalty accounts.

Online Retail Transaction

Online retail transaction data pertains to sales made through e-commerce platforms, including additional metrics such as:

  • Website Traffic Data: Information about visitors and their behavior on the site.
  • Conversion Rates: Percentage of visitors who make a purchase.
  • Cart Abandonment Rates: Insights into how many customers leave without completing a purchase.

What Are the Benefits of Retail Transaction Data?

Using retail transaction data offers many advantages for businesses, including:

  • Enhanced Consumer Insights: Understand customer preferences and buying patterns.
  • Improved Inventory Management: Optimize stock levels, reducing waste.
  • Better Sales Strategies: Develop targeted marketing and promotions.
  • Data-Driven Decisions: Inform business strategies with accurate analysis.

Explore more about different types of transaction data: Consumer Transaction Data, Food & Grocery Transaction Data, and Restaurant & Food Delivery Transaction Data.

What is Retail Transactional Analysis?

Retail transactional analysis examines transaction data to identify trends, patterns, and insights for business improvements. Key aspects include:

  • Sales Trend Analysis: Monitoring sales over time to spot growth or decline.
  • Customer Segmentation: Grouping customers based on purchasing behavior.
  • Profitability Analysis: Evaluating which products or services are most profitable.

What is the Retail Transaction Processing System?

A retail transaction processing system manages the data flow during sales transactions, ensuring accuracy and efficiency. Features include:

  • Real-time Processing: Immediate recording of sales data.
  • Inventory Updates: Automatic adjustment of stock levels.
  • Financial Reporting: Integration with accounting systems for financial tracking.

How Retail Transaction Data is Stored

Retail transaction data is stored in secure databases and data warehouses, allowing easy access and retrieval for analysis. Systems used for storing this data include:

  • Customer Relationship Management (CRM) Systems: Centralizes customer data.
  • Enterprise Resource Planning (ERP) Systems: Integrates various business processes and data.
  • Cloud Storage Solutions: Offers scalable and secure data storage options.

Frequently Asked Questions

How Can I Get Retail Transaction Data?

You can get retail transaction data through various delivery methods, tailored to your specific needs. Historical data can be downloaded in bulk and delivered via an S3 bucket. For time-sensitive applications, real-time data APIs, feeds, and streams are available to provide the most current information.

Where Can I Buy Retail Transaction Data?

Data providers and vendors on platforms like Datarade offer retail transaction data products and samples. Notable products include Consumer Edge Scanner US Point of Sale Consumer Data by Consumer Edge, and Scorri Brand Shopping Data by Scorri.

What Are Similar Data Types to Retail Transaction Data?

Retail transaction data is similar to Consumer Transaction Data and Sales Transaction Data. These data types are often used for market analysis, competitive benchmarking, and strategic decision-making.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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