What is Receipt Data? Uses, Types & Dataset Examples
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. In this page, you’ll find the best data sources for receipt data.
Best Receipt Data Databases & Datasets
Here is Datarade's curated selection of top Receipt Data. These trusted databases and datasets offer high-quality, up-to-date information.
FoodPanda Food & Grocery Transaction Data | Email Receipt Data | Asia | Granular & Aggregate Data available
Gener8 | E-Receipt Data | 27M+ Transactions covering 100+ UK Retailers | GDPR-Compliant
DocuTrie| Receipt Data | AI-OCR for Document Processing | Bills, Invoices, Receipts and more with updated and custom data templates
India Email Receipt Panel Dataset (Direct from Data Originator) *No PII*
Photon Commerce - Invoice and receipt extraction, OCR, and reconciliation
B2B Email Database | 100% Verified Business Email Address | 800M+ Contacts | (Direct Dails) | Decision Makers Direct Emails | 16+ Attributes |
Invoices, Payslips, & receipts Document dataset | Global Coverage | PDF JPEG format | Datasets updated frequently with high variety of templates
Edison Trends Daily Data Feed - E-Receipt Data for USA, UK, Australia, Canada, India & Singapore
Company IP Data | Company Domain to MAIDs | Monthly Feed | 300M+ MAIDs to Business Domain Linkages
Careem Now Email Receipt Data | Consumer Transaction Data | Asia, EMEA | Granular & Aggregate Data avail.
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
Where can I buy Receipt Data?
Data providers and vendors listed on Datarade sell Receipt Data products and samples. Popular Receipt Data products and datasets available on our platform are FoodPanda Food & Grocery Transaction Data | Email Receipt Data | Asia | Granular & Aggregate Data available by Measurable AI, Gener8 | E-Receipt Data | 27M+ Transactions covering 100+ UK Retailers | GDPR-Compliant by Gener8 Labs, and DocuTrie| Receipt Data | AI-OCR for Document Processing | Bills, Invoices, Receipts and more with updated and custom data templates by InfoTrie.
How can I get Receipt Data?
You can get Receipt Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Receipt Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Receipt Data APIs, feeds and streams to download the most up-to-date intelligence.