What is Consumer Transaction Data? Examples, Datasets and Providers
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Consumer Transaction Data?
Consumer transaction data is information generated from the purchases and interactions made by individuals with businesses. It includes details such as the products or services bought, transaction amounts, payment methods, and timestamps. This data provides valuable insights into consumer behavior, preferences, and trends, enabling businesses to make informed decisions regarding marketing strategies, product development, and customer experience enhancements.
Best Consumer Transaction Databases & Datasets
Here is our curated selection of top Consumer 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.
Granular Consumer Transaction Data | Ecommerce Data for Emerging Markets
Consumer Behaviour Data | Consumer Transaction Data | Global | 600+ Customers
Consumer Transaction Data | UK & FR | 600K+ daily active users | Consumer - Services | Raw, Aggregated & Ticker Level
Vision Private Equity Data | US Consumer Transaction Data | 100M Accounts, 12K Merchants, 800+ Parent Companies, 600 Tickers
Snapbizz Consumer Transaction Data of FMCG Products - POS Data India
Envestnet | Yodlee's De-Identified Consumer Transaction Data | Row/Aggregate Level | USA Consumer Data covering 3600+ public and private corporations
Consumer Behavior Data | Address Data | B2C Data | HomeOwner Data | Real Estate Transaction Data | USA
TagX - Transactions data | Consumer Spending data | Bank Transaction data
Unbanx Real-Time UK Consumer Transaction Data (de-identified, pay as you go, Stock ticker)
AIKE| Mobile Location and Shopping Data | Shopping Heat Map| Consumers Transaction Data | UK&US| Brand & Market Trends| Profiling and Habits
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Top Consumer Transaction Data Providers & Companies
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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 of transactions that we capture in near real time (T+1) and make available via feeds or dashboard.15 m+Active usersSince 2011HistoryT+2Latency -
Measurable AI
CoverageUSAUK+248- Largest e-receipts panel for emerging markets: Asia, Latin America, Middle East, Turkey, and India - SKU level high definition transactional data that is anonymized and available in granular or aggregated form on a weekly basis - We own our datasets with strict privacy measures in placeGDPR/CCPACompliantSourceOwn consumer appsCoverageEmerging Markets -
Consumer Edge
CoverageUSAUK+248Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. Transaction data, scanner data, web data, and email receipt data spans dozens of industries, hundreds of companies, and global geographies to empower strategic decision-making.100M+Credit & Debit Cards30K+Public & Private Brands700+Parent Companies -
Alqami
CoverageUSAUK+247Alqami is a data intermediary, collaborating with a global partner network matching alternative data providers with data users. We specialise in sourcing large, esoteric, data sets and finding investment managers who would find value in having this information edge. -
Snapbizz
CoverageIndiaRetail Innovation, Mobile Based disruptive business model, Cloud connected, Consumer goods industry, Android Based technology, Digital Visibility, Real time consumer data, Best in industry POS solution for FMCG brands and Retailers, pos machine, billing machine, and retail billing machine90K+Basket captured per day0.7MConsumer info150BTransaction value per month -
AIKE
CoverageUSAUK+248SWe are thoroughly impressed with Scorri's exceptional provision of high-quality data at a competitive price point. The data's superior quality, coupled with its extensive volume, has significantly reduced our cleansing efforts and facilitated accurate analysis, ultimately saving us valuable time. Kudos to Scorri for their outstanding service!
Popular Use Cases for Consumer Transaction Data
Consumer 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 Consumer Transaction Data.
Main Attributes of Consumer Transaction Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The postal code of an address. | View 34 datasets | |
| String | The email address of a company or contact. | View 33 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 25 datasets | |
| String | The first name of a contact. | View 15 datasets | |
| String | The last name (surname) of a contact. | View 15 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 11 datasets |
What is Considered Transactional Data?
Transactional data includes any information from exchanges between consumers and businesses. This data can be categorized into 3 main categories:
- Sales transactions: Details of purchases made by customers.
- Service transactions: Information on services provided and utilized.
- Financial transactions: Data on payment methods and financial exchanges.
What are Examples of Consumer Transaction Data?
Examples of consumer transaction data include:
- Product or service purchased: Information about what the consumer bought.
- Transaction amount: The total cost of the purchase.
- Payment method used: Details on how the consumer paid, such as credit card, cash, or digital payment.
- Transaction date and time: The specific time when the purchase occurred.
- Purchase location (online or in-store): Indicates whether the transaction happened online or at a physical store.
- Customer demographic information: Data about the buyer’s age, gender, income, etc.
- Frequency of purchases: How often the consumer makes purchases.
Consumer Transaction Data Format
The format of consumer transaction data can vary, but typically includes:
- Structured data fields: Specific information such as date, transaction amount, and product ID.
- Unstructured data: Customer reviews and feedback.
- Data from multiple sources: Information collected from in-store and online transactions.
Here are examples of consumer transaction data format:
1. Structured data fields: These fields contain specific, organized information that is easily searchable and analyzable. Examples include:
- Date of transaction: 2024-06-24
- Transaction amount: $45.67
- Product ID: 12345XYZ
- Payment method: Credit Card
- Store location: New York, NY
2. Unstructured data: This type of data is not as easily categorized and may include more qualitative information. Examples include:
- Customer reviews: “The product quality was excellent, but the shipping was slow.”
- Feedback comments: “I had a great experience with customer service, but the website was difficult to navigate.”
3. Data from multiple sources: This refers to data collected from various points of sale and interaction. Examples include:
- In-store purchases: Transactions recorded at physical retail locations.
- Online transactions: Data from e-commerce platforms, such as items bought and payment methods used.
- Mobile app purchases: Transactions made through a company’s mobile application.
- Social media interactions: Data from social media platforms where customers may comment on or review products.
Why is Consumer Transaction Data Interesting?
Consumer transaction data is intriguing because it offers insight into consumer actions. Understanding this data allows businesses to:
- Spot emerging market trends: Identify new consumer preferences and shifts in demand.
- Analyze customer loyalty: Understand patterns that lead to repeat purchases.
- Segment customers: Group consumers based on purchasing behavior for targeted marketing.
- Predict future sales: Forecast sales trends and revenue.
How to Leverage Consumer Transaction Data
Businesses can use consumer transaction data in various ways:
- Personalize marketing campaigns: Tailor promotions and advertisements based on buying patterns.
- Innovate products: Identify market trends and gaps to develop new products.
- Enhance customer service: Improve customer interactions by understanding their purchase behavior.
- Optimize inventory: Predict demand to manage stock levels efficiently.
Which Industries Leverage Consumer Transaction Data?
Consumer transaction data is not limited to one sector; various industries use this valuable information to enhance their operations and strategies. Here are some key industries that leverage consumer transaction data:
- Retail Transaction Data: Retailers use transaction data to understand shopping patterns, optimize inventory, and personalize marketing campaigns.
- Travel Transaction Data: Travel companies analyze transaction data to identify travel trends, improve customer experience, and offer personalized travel packages.
- Tourism Transaction Data: The tourism industry uses transaction data to understand tourist preferences, enhance tourist services, and develop targeted marketing strategies.
- Automobile Transaction Data: Automotive companies leverage transaction data to track vehicle purchases, predict market demand, and customize marketing efforts.
- Electronics Transaction Data: Electronics retailers use transaction data to monitor product performance, manage stock levels, and tailor promotions.
- Food & Grocery Transaction Data: Grocery stores and food retailers analyze transaction data to understand buying habits, manage inventory, and develop loyalty programs.
- Restaurant & Food Delivery Transaction Data: Restaurants and food delivery services use transaction data to enhance customer service, optimize delivery routes, and create personalized marketing campaigns.
How Do You Get Consumer Transaction Data?
Obtaining consumer transaction data can be done through:
- Point-of-sale systems: Collect data directly from sales transactions in stores.
- Customer loyalty programs: Gather data from repeat customers enrolled in loyalty schemes.
- Online analytics tools: Track online purchase behavior using tools like Google Analytics.
- Third-party data providers: Purchase data from companies specializing in consumer transaction information.
What is Consumer Purchase Data?
Consumer purchase data specifically refers to information about buying activities. This includes:
- Products or services bought: Details of items or services purchased.
- Amount spent: The total money spent by the consumer.
- Frequency and timing of purchases: How often and when consumers purchase.
Consumer vs. Non-Consumer Transactions
Understanding the difference between consumer and non-consumer transactions is crucial:
- Consumer transactions: Purchases made by individuals for personal use.
- Non-consumer transactions: Typically involve business-to-business (B2B) transactions or organizational purchases.
How Do You Analyze Consumer Transaction Data?
Analyzing consumer transaction data involves several steps:
- Data collection: Gather data from various sources like sales systems and online platforms.
- Cleaning data: Ensure the data is accurate and error-free.
- Segmenting data: Categorize the data based on relevant criteria (e.g., customer demographics, purchase frequency).
- Using statistical tools: Identify patterns and insights through analysis software.
Frequently Asked Questions
How is the Quality of Consumer Transaction Data Maintained?
The quality of Consumer Transaction 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 Consumer Transaction Data Updated?
The update frequency for Consumer Transaction 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 Consumer Transaction Data Secure?
The security of Consumer Transaction 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 Consumer Transaction Data Delivered?
Consumer Transaction 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 Consumer Transaction Data.
How Much Does Consumer Transaction Data Cost?
The cost of Consumer Transaction 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 Consumer Transaction Data for your needs.
What Are Similar Data Types to Consumer Transaction Data?
Consumer Transaction Data is similar to other data types, such as Point-of-Sale (POS) Data, Bank Transaction Data, Sales Transaction Data, B2B Transaction Data, and Industrial Transaction Data. These related categories are often used together for applications like Purchase Intelligence and Inventory Management.
