Global Ecommerce Data for Emerging Markets | Amazon Data | Granular Transactional E-receipt Data | Weekly/ Monthly Delivery | 3y Historical Data
# | subject |
accountEmailId |
receivedDate |
dataType |
receiptId |
htmlKey |
uniqueId |
primaryKey |
orderId |
orderType |
totalPrice |
totalPriceUSD |
totalCharged |
totalChargedUSD |
currency |
rawPaymentMethod |
paymentMethod |
country |
orderTime |
priceItems |
productItems |
deliveryAddress |
deliveryLat |
deliveryLon |
deliveryFee |
deliveryFeeUSD |
membership |
logoFilename |
isBusiness |
title |
||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx |
2 | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx |
3 | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
4 | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx |
5 | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | 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 |
6 | xxxxxxxxx | Xxxxx | 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 | xxxxx | Xxxxxx | xxxxxx |
7 | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx |
8 | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx |
9 | 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 |
10 | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx |
... | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Email Address | ||
subject
|
String | Amazon.co.jpでのご注文503-3164216-0799061( 6点) | |
accountEmailId
|
Integer | 370286717 | |
receivedDate
|
Integer | 1681657587 | |
dataType
|
String | AmazonReceiptType | |
receiptId
|
String | 146ab930dab69e43b3bb2974ccd619748afd668c7d2022837d1f429d4... | |
htmlKey
|
String | c3165bc9ed46a7b1d17294ca7775f92ff1f0c05851696646636619e26... | |
uniqueId
|
String | BkWPVvV1e9LYTg7eNKQcxyhxiJNV1zXBZipY2yl7b0k= | |
primaryKey
|
String | 503-3164216-0799061_purchase | |
orderId
|
String | 503-3164216-0799061 | |
orderType
|
String | Purchase | |
totalPrice
|
Integer | 929 | |
totalPriceUSD
|
Float | 6.997 | |
totalCharged
|
Integer | 929 | |
totalChargedUSD
|
Float | 6.997 | |
currency
|
String | JPY | |
rawPaymentMethod
|
String | jcb | |
paymentMethod
|
String | jcb | |
String | JP | Country Code Alpha-2 | |
country
|
String | Japan | |
orderTime
|
Integer | 1681603200 | |
priceItems
|
String | [] | |
productItems
|
String | [] | |
deliveryAddress
|
String | 675-0101, 兵庫県, 加古川市平岡町新在家1150, 川崎重工 加古川寮 1011号室 | |
deliveryLat
|
Integer | 0 | |
deliveryLon
|
Integer | 0 | |
deliveryFee
|
Integer | 0 | |
deliveryFeeUSD
|
Integer | 0 | |
membership
|
String | Prime | |
logoFilename
|
String | prime-logo._v378203653_ | |
isBusiness
|
Boolean | f | |
title
|
String | ご注文の確認 |
Description
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Frequently asked questions
What is Global Ecommerce Data for Emerging Markets Amazon Data Granular Transactional E-receipt Data Weekly/ Monthly Delivery 3y Historical Data?
Consumer Purchase data/ Ecommerce data. Amazon granular transactional email receipt datasets across all geographies with our largest panels being in emerging markets: Asia, SE Asia, Latin America, Middle East, Turkey and India. We also have continental Europe and US data.
What is Global Ecommerce Data for Emerging Markets Amazon Data Granular Transactional E-receipt Data Weekly/ Monthly Delivery 3y Historical Data used for?
This product has 5 key use cases. Measurable AI recommends using the data for Investing, Market Research, Business Intelligence (BI), Competitor Insights, and Market Intelligence. Global businesses and organizations buy Ecommerce Data from Measurable AI to fuel their analytics and enrichment.
Who can use Global Ecommerce Data for Emerging Markets Amazon Data Granular Transactional E-receipt Data Weekly/ Monthly Delivery 3y Historical Data?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Ecommerce Data. Get in touch with Measurable AI to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Global Ecommerce Data for Emerging Markets Amazon Data Granular Transactional E-receipt Data Weekly/ Monthly Delivery 3y Historical Data go?
This product has 3 years of historical coverage.
Which countries does Global Ecommerce Data for Emerging Markets Amazon Data Granular Transactional E-receipt Data Weekly/ Monthly Delivery 3y Historical Data cover?
This product includes data covering 13 countries like Japan, India, Brazil, South Korea, and Indonesia. Measurable AI is headquartered in Hong Kong.
How much does Global Ecommerce Data for Emerging Markets Amazon Data Granular Transactional E-receipt Data Weekly/ Monthly Delivery 3y Historical Data cost?
Pricing information for Global Ecommerce Data for Emerging Markets Amazon Data Granular Transactional E-receipt Data Weekly/ Monthly Delivery 3y Historical Data 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 Global Ecommerce Data for Emerging Markets Amazon Data Granular Transactional E-receipt Data Weekly/ Monthly Delivery 3y Historical Data?
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 Global Ecommerce Data for Emerging Markets Amazon Data Granular Transactional E-receipt Data Weekly/ Monthly Delivery 3y Historical Data?
This product has 3 related products. These alternatives include E-Receipt Data for Ecommerce Companies Southeast Asia, Latin America, India Shopee, Lazada, Tokopedia, Momoshop, HKTVMall, and MacardoLibre, TagX Ecommerce Product Data Ecommerce Product listing Details, Pricing, Reviews Amazon, Flipkart, Tmall & more Global Coverage Monthly updates, and Forager.ai - Shopify Data - eCommerce Company Data 320K Stores API & Dataset Bi-weekly Updates eCommerce Company Data Technographic Data. You can compare the best Ecommerce Data providers and products via Datarade’s data marketplace and get the right data for your use case.