What is Receipt Data? Examples, Datasets and Providers
- Overview
- Datasets
- Providers
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Attributes
- Guide
- FAQ
What is Receipt Data?
Receipt data is information present on a receipt, typically obtained after a purchase transaction. It includes details such as the date, time, and location of the purchase, the items or services bought, their prices, any applicable taxes or discounts, and the total amount paid. Receipt data is often used for record-keeping, expense tracking, reimbursement purposes, and analyzing consumer behavior and spending patterns.
Examples of receipt data include information such as the date of purchase, items purchased, prices, and store details. Receipt data is used for various purposes, including expense tracking, financial analysis, inventory management, and customer behavior analysis.
Best Receipt Databases & Datasets
Here is our curated selection of top Receipt 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.
Transactional E-receipt Data | Hotel, Travel, Hospitality
Basketview Signal CPG USA Data | SKU-Level Consumer Receipt Data & POS Data | CPG-Tagged Data on Leading Global Brands | 3-Day Lag, Daily Delivery
TagX -10000+ Invoices, Payslips, & receipts Document dataset | Intelligent Document processing data | Global Coverage | Refreshed monthly
Instacart Transactional E-receipt Data
India Email Receipt Panel Dataset (Direct from Data Originator) *No PII*
Indian B2B Prospect Data | 72M Accurate & Fresh Leads, 7.2B Intent Signals, Key Decision-Maker Insights
Global Corporate Actions Data | Listed Securities incl. Dividends, Splits, Spin-offs, Mergers
Photon Commerce - Invoice and receipt extraction, OCR, and reconciliation
Data Licensing - ABM Data- 152+ Million Contacts | 13+ Million Companies - Updated Monthly Basis
Company Financial Data | Multi-Source Docs | Extraction & Structuring (100+ Languages, 5K Docs/Hour) | Standardized Outputs | Compliance & Analysis
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Top Receipt Data Providers & Companies
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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 -
HitHorizons
CoverageUSAUK+63VI have been a regular user of HitHorizons for three years and I am very glad that HitHorizons was recommended to me. The data is valid and regularly updated. This avoids contacting companies that disappeared from the market years ago. It's great that the screener offers the option of filtering the data according to relevant criteria, such as company size, number of employees, company sector or even country, federal state, or city. This allows me to compile interesting data that fully meets my needs. I have never found anything like this before. And I won't be looking for another source, because HitHorizons' offer is perfect and absolutely worth the investment.
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Photon Commerce
CoverageUSAUK+113The company streamlines the collection, processing, validation, and management of purchase data from the receipts, invoices, and payments data of consumers and businesses from physical retail, eCommerce, and distribution. It has processed over $11B with First Data, Stripe, Microsoft, and others.Amazontransaction purchase historyAppleSKUsWalmarttransaction purchase history -
TagX
CoverageUSAUK+248VWe requested data in the form of various forms and documents associated with Tax and Bookkeeping that we plan to use to developing a digital document processing solution based on artificial intelligence.
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Solution Publishing
CoverageUSAUK+2VMultiple B2B client use cases related to Online Customer Acquisition. These were worldwide programs on a cost per lead basis for MQL's, and the leads were call verified leads - executed seamlessly and cost-effectively.
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Grepsr
CoverageUSAUK+247VUtilizing Grepsr's data solutions, we employed their capabilities to efficiently retrieve a substantial volume of job posting information. The acquired dataset played a pivotal role in supporting our strategic marketing initiatives, demonstrating the versatility and effectiveness of Grepsr's data services in enhancing our business intelligence and outreach endeavors.
Main Attributes of Receipt 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 country code in Alpha-2 format (ISO 3166) | View 24 datasets | |
| String | The email address of a company or contact. | View 23 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 8 datasets | |
| String | The name of a country. | View 3 datasets | |
| String | The currency code as per ISO 4217. | View 3 datasets | |
| String | The name of a language as per ISO 639. | View 3 datasets |
Receipt Data Explained
How is Receipt Data collected?
Receipt data is collected whenever a sale is made as this process automatically causes the creation of a purchase receipt. While a receipt may seem simple at first, the amount of information it contains is huge. It can tell you about when the purchase was made, what was bought and the price of the products as well as where it was bought (online or in-store, and if it was in-store, where the store itself was). This data can then be analyzed to provide useful sales insights that tell you about both the performance of the store itself and the spending habits of its consumers. If purchases are made online or using a loyalty card scheme, these can then be attributed to specific customers to provide detailed information about their purchasing habits and whether they have a sense of customer loyalty or not.
What are the attributes of Receipt Data?
A basic receipt itself will give you simple information, like that mentioned above. It can contain details about the purchase, the product price and the location as well as if discount codes were applied. However, what is key is that this data can then be analysed to generate detailed insights.
Receipt datasets can tell you the receipt count by store, where a real store or online one as well as share of basket information, which tells you the other products your consumers are buying outside of your brand on the same shopping trip. It can also give you receipt count by day, geography or highlight which retailers have the most brand programme engagement. Finally, it can also give you a full basket analysis of each consumer’s shopping trip to highlight what products they are buying, as well as the regularity of their purchases and whether they return to the same stores or tend to look elsewhere after an initial purchase.
What is Receipt Data used for?
Retailers and consumers use receipt data for the analytics it provides on their store performance. They can use this information to track sales and, crucially, in comparison to their competitions to evaluate how their business is performing in the market. They also use this data to track the spending habits of their customers and tailor marketing campaigns accordingly in order to generate high profit margins and optimize the workings of their business.
How can a user assess the quality of Receipt Data?
A high quality receipt dataset will provide comprehensive information and analytics about purchase data that is recorded by receipts. It is important to have information that is comprehensive and up to date with the latest analytics to ensure that you can judge your business’ performance with the latest details.
Historical receipt data is equally important in a high quality dataset because it can show how purchase trends and consumer spending habits have developed over time. This information is crucial to analyzing store performance over an extended period of time and for highlighting areas that could be made more effective in order to maximize profit production.
Frequently Asked Questions
How is the Quality of Receipt Data Maintained?
The quality of Receipt 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 Receipt Data Updated?
The update frequency for Receipt 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 Receipt Data Secure?
The security of Receipt 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 Receipt Data Delivered?
Receipt 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 Receipt Data.
How Much Does Receipt Data Cost?
The cost of Receipt 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 Receipt Data for your needs.
