SKU-Level Granular Email Receipt Data | Consumer Transaction Data for USA & Continental Europe | Ecommerce / Food Delivery / Ride Hailing / Payments
# | mailSource |
subject |
accountEmailId |
receivedDate |
dataType |
receiptId |
uniqueId |
primaryKey |
orderId |
orderType |
totalPrice |
totalPriceUSD |
totalCharged |
totalChargedUSD |
currency |
rawPaymentMethod |
paymentMethod |
country |
orderTimeHasTimeZone |
pickupTimeHasTimeZone |
dropoffTimeHasTimeZone |
restaurant |
priceItems |
productItems |
driverId |
||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx |
2 | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx |
3 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx |
4 | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx |
5 | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx |
6 | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx |
7 | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx |
8 | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx |
9 | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx |
10 | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx |
... | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Email Address | ||
mailSource
|
|||
subject
|
String | Order Confirmation for Alexandra from Portillo's | |
accountEmailId
|
Integer | 1979282998 | |
receivedDate
|
Integer | 1614814797 | |
dataType
|
String | DoordashReceiptType | |
receiptId
|
String | adf5c5ff0ab69a1ef2c9ae145a2e72294786c437f3d2871e34c7db51f... | |
uniqueId
|
String | t+16/LArAs6Ypy6IcfKJjPlzEPPgoeZXDPmP7iQXRIw= | |
primaryKey
|
String | ad0f2d62-f481-403c-9223-5c0dc0834294_purchase | |
orderId
|
String | ad0f2d62-f481-403c-9223-5c0dc0834294 | |
orderType
|
|||
totalPrice
|
Float | 26.78 | |
totalPriceUSD
|
Float | 26.78 | |
totalCharged
|
Float | 26.78 | |
totalChargedUSD
|
Float | 26.78 | |
currency
|
String | USD | |
rawPaymentMethod
|
String | paid with apple pay | |
paymentMethod
|
String | apple pay | |
String | US | Country Code Alpha-2 | |
country
|
String | United States | |
orderTimeHasTimeZone
|
Boolean | f | |
pickupTimeHasTimeZone
|
Boolean | f | |
dropoffTimeHasTimeZone
|
Boolean | f | |
restaurant
|
String | Portillo's | |
priceItems
|
String | [{"itemType":6,"price":15.46,"priceLabel":"$15.46","price... | |
productItems
|
String | [{"imageURL":"","price":4.24,"priceLabel":"$4.24","priceN... | |
driverId
|
Description
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Frequently asked questions
What is SKU-Level Granular Email Receipt Data Consumer Transaction Data for USA & Continental Europe Ecommerce / Food Delivery / Ride Hailing / Payments?
Real purchase/ consumer transaction data via transactional email receipts. Main sectors: e-commerce, food delivery, ride hailing, payments. SKU-level datasets with actual amount spent, discounts, purchase frequency, time, geolocation data.
What is SKU-Level Granular Email Receipt Data Consumer Transaction Data for USA & Continental Europe Ecommerce / Food Delivery / Ride Hailing / Payments used for?
This product has 5 key use cases. Measurable AI recommends using the data for Data Science, Competitive Intelligence, Data Intelligence, Customer Data Intelligence, and Target Market Analysis. Global businesses and organizations buy Consumer Transaction Data from Measurable AI to fuel their analytics and enrichment.
Who can use SKU-Level Granular Email Receipt Data Consumer Transaction Data for USA & Continental Europe Ecommerce / Food Delivery / Ride Hailing / Payments?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Consumer Transaction Data. Get in touch with Measurable AI to see what their data can do for your business and find out which integrations they provide.
Which countries does SKU-Level Granular Email Receipt Data Consumer Transaction Data for USA & Continental Europe Ecommerce / Food Delivery / Ride Hailing / Payments cover?
This product includes data covering 9 countries like USA, Germany, United Kingdom, France, and Italy. Measurable AI is headquartered in Hong Kong.
How much does SKU-Level Granular Email Receipt Data Consumer Transaction Data for USA & Continental Europe Ecommerce / Food Delivery / Ride Hailing / Payments cost?
Pricing information for SKU-Level Granular Email Receipt Data Consumer Transaction Data for USA & Continental Europe Ecommerce / Food Delivery / Ride Hailing / Payments is available by getting in contact with Measurable AI. Connect with Measurable AI to get a quote and arrange custom pricing models based on your data requirements.
What is the data quality of SKU-Level Granular Email Receipt Data Consumer Transaction Data for USA & Continental Europe Ecommerce / Food Delivery / Ride Hailing / Payments?
You can compare and assess the data quality of Measurable AI using Datarade’s data marketplace. Measurable AI appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? July Edition.
What are similar products to SKU-Level Granular Email Receipt Data Consumer Transaction Data for USA & Continental Europe Ecommerce / Food Delivery / Ride Hailing / Payments?
This product has 3 related products. These alternatives include Granular Consumer Transaction Data Ecommerce Data for Emerging Markets, Consumer Edge Vision Retention Data CPG, Grocery, Food Delivery Psychographic US Transaction 100M+ Cards, 12K+ Merchants, Retail & Ecommerce, and Envestnet Yodlee’s De-Identified Restaurant and Food Delivery Transaction Data Row/Aggregate Level USA Consumer Data covering 3600+ corporations. You can compare the best Consumer Transaction Data providers and products via Datarade’s data marketplace and get the right data for your use case.