Netflix Email Receipt Data | Consumer Transaction Data | Asia, EMEA, America, LATAM, India | Granular & Aggregate Data avail.
# | subject |
accountEmailId |
receivedDate |
dataType |
orderType |
totalPrice |
totalPriceUSD |
totalCharged |
totalChargedUSD |
currency |
rawPaymentMethod |
paymentMethod |
langCode |
country |
buyerEmail |
plan |
planLabel |
billingTime |
billingTimezoneOffset |
billingTimeHasTimeZone |
billingCycle |
serviceProvider |
partner |
||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
2 | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx |
3 | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx |
4 | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
5 | 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 |
6 | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx |
7 | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx |
8 | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx |
9 | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx |
10 | 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 | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Email Address | ||
subject
|
String | ¡Qué bueno que volviste a Netflix! | |
accountEmailId
|
Integer | 2221064536 | |
receivedDate
|
Integer | 1689549037 | |
dataType
|
String | NetflixSubscriptionReceiptType | |
orderType
|
String | Subscription | |
totalPrice
|
Integer | 0 | |
totalPriceUSD
|
Integer | 0 | |
totalCharged
|
Integer | 0 | |
totalChargedUSD
|
Integer | 0 | |
currency
|
|||
rawPaymentMethod
|
String | unknown | |
paymentMethod
|
|||
langCode
|
|||
String | MX | Country Code Alpha-2 | |
country
|
String | Mexico | |
buyerEmail
|
|||
plan
|
String | premium | |
planLabel
|
String | Premium | |
billingTime
|
Integer | 0 | |
billingTimezoneOffset
|
Integer | 0 | |
billingTimeHasTimeZone
|
Boolean | f | |
billingCycle
|
|||
serviceProvider
|
String | Netflix México S. DE R.L. DE C.V. | |
partner
|
String | 16 de agosto de 2023 |
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Frequently asked questions
What is Netflix Email Receipt Data Consumer Transaction Data Asia, EMEA, America, LATAM, India Granular & Aggregate Data avail.?
Netflix subscription Email Receipt data provides accurate consumer insights and understanding of industry trends based on consumer transaction data. We also have competitor data for Hulu, Disney+, Paramount, Roku etc. Subscription emails, cancellation emails, family accounts etc.
What is Netflix Email Receipt Data Consumer Transaction Data Asia, EMEA, America, LATAM, India Granular & Aggregate Data avail. used for?
This product has 5 key use cases. Measurable AI recommends using the data for Investing, Consumer Intelligence, Market Intelligence, Alternative Investment, and Customer Insights. Global businesses and organizations buy Alternative Data from Measurable AI to fuel their analytics and enrichment.
Who can use Netflix Email Receipt Data Consumer Transaction Data Asia, EMEA, America, LATAM, India Granular & Aggregate Data avail.?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Alternative 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 Netflix Email Receipt Data Consumer Transaction Data Asia, EMEA, America, LATAM, India Granular & Aggregate Data avail. go?
This product has 6 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, and yearly basis.
Which countries does Netflix Email Receipt Data Consumer Transaction Data Asia, EMEA, America, LATAM, India Granular & Aggregate Data avail. cover?
This product includes data covering 7 countries like USA, Japan, Brazil, Mexico, and Argentina. Measurable AI is headquartered in Hong Kong.
How much does Netflix Email Receipt Data Consumer Transaction Data Asia, EMEA, America, LATAM, India Granular & Aggregate Data avail. cost?
Pricing information for Netflix Email Receipt Data Consumer Transaction Data Asia, EMEA, America, LATAM, India Granular & Aggregate Data avail. 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.
How can I get Netflix Email Receipt Data Consumer Transaction Data Asia, EMEA, America, LATAM, India Granular & Aggregate Data avail.?
Businesses can buy Alternative Data from Measurable AI and get the data via S3 Bucket and REST API. Depending on your data requirements and subscription budget, Measurable AI can deliver this product in .json, .xml, and .csv format.
What is the data quality of Netflix Email Receipt Data Consumer Transaction Data Asia, EMEA, America, LATAM, India Granular & Aggregate Data avail.?
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 Netflix Email Receipt Data Consumer Transaction Data Asia, EMEA, America, LATAM, India Granular & Aggregate Data avail.?
This product has 3 related products. These alternatives include Netflix & Streaming Peers Email Receipt Data Consumer Transaction Data Asia, EMEA, LATAM, MENA, India Granular & Aggregate Data available, Factori Consumer Purchase Data USA 200M+ profiles, 100+ Attributes Behavior Data, Interest Data, Email, Phone, Social Media, Gender, Linkedin, and Consumer Edge Vision Demographic Spending Data B2C Audience Purchase Behavior US Transaction Data 100M+ Cards, 12K+ Merchants, Industry, Channel. You can compare the best Alternative Data providers and products via Datarade’s data marketplace and get the right data for your use case.