Gener8 | Commerce Data (E-receipt Data) / Amazon Data, Ebay Data, Etsy Data, Temu Data | Top Ecommerce Companies in the UK
# | DATETIME |
ENTITY_NAME |
G8_ENTITY_ID |
TICKER |
ITEM_TITLE |
ISIN |
SIC |
ITEM_QUANTITY |
ITEM_PRICE |
BASKET_VALUE |
TOTAL_TAX |
DISCOUNT_PRICE |
SHIPPING_PRICE |
GIFT_VOUCHER_PRICE |
TRANSACTION_VALUE |
CURRENCY |
PRODUCT_NAME |
ITEM_CATEGORY |
ITEM_CATEGORY_PROB |
ITEM_SUB_CATEGORY |
ITEM_SUB_CATEGORY_PROB |
BASKET_CATEGORY |
BASKET_CATEGORY_WEIGHT |
ORDER_REFERENCE |
TRANSACTION_ID |
ITEM_ID |
INBOX_ID |
USER_ID |
RECEIVED_AT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
2 | 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 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx |
3 | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx |
4 | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx |
5 | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx |
6 | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx |
7 | xxxxxxxxx | 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 | xxxxxxxx | xxxxx | Xxxxxxxxxx |
8 | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx |
9 | 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 |
10 | 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 | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
DATETIME
|
String | 2023-04-17 22:37:16.000000 UTC | |
ENTITY_NAME
|
String | ASOS PLC. | |
G8_ENTITY_ID
|
String | PUBGBR100040G8 | |
TICKER
|
String | ASC | |
ITEM_TITLE
|
String | ASOS DESIGN 3 pack basic cotton tanga thongs in black | |
ISIN
|
String | GB0030927254 | |
SIC
|
Integer | 5961 | |
ITEM_QUANTITY
|
Integer | 2 | |
ITEM_PRICE
|
Integer | 1200 | |
BASKET_VALUE
|
Integer | 8400 | |
TOTAL_TAX
|
Integer | 0 | |
DISCOUNT_PRICE
|
Integer | 0 | |
SHIPPING_PRICE
|
Integer | 0 | |
GIFT_VOUCHER_PRICE
|
Integer | 0 | |
TRANSACTION_VALUE
|
Integer | 8400 | |
CURRENCY
|
String | GBP | |
PRODUCT_NAME
|
String | Asos Design | |
ITEM_CATEGORY
|
String | Clothing & Accessories | |
ITEM_CATEGORY_PROB
|
Integer | 1 | |
ITEM_SUB_CATEGORY
|
String | Women's Clothing | |
ITEM_SUB_CATEGORY_PROB
|
Integer | 1 | |
BASKET_CATEGORY
|
String | Clothing & Accessories | |
BASKET_CATEGORY_WEIGHT
|
Integer | 1 | |
ORDER_REFERENCE
|
Integer | 828475169 | |
TRANSACTION_ID
|
String | fb35c812-6901-5f46-b11e-3b75070db8ce | |
ITEM_ID
|
String | fb35c812-6901-5f46-b11e-3b75070db8ce-0 | |
INBOX_ID
|
String | eb1c3619-90b6-41b6-b995-c51ae8402855 | |
USER_ID
|
String | 604d08db-261f-55db-bcfc-fd7b96d26500 | |
RECEIVED_AT
|
String | 2023-04-18 06:57:52.000000 UTC |
Attribute | Type | Example | Mapping |
---|---|---|---|
DATETIME
|
DateTime | ||
String | Coca Cola | Company Name | |
G8_ENTITY_ID
|
|||
String | AAPL | Stock Ticker | |
String | US0378331005 | ISIN | |
String | Apple MacBook Pro 14" M2 | Product Name | |
ITEM_QUANTITY
|
Integer | ||
Integer | 3.50 | Product Price | |
BASKET_VALUE
|
Integer | ||
TOTAL_TAX
|
Integer | ||
DISCOUNT_PRICE
|
Integer | ||
SHIPPING_PRICE
|
Integer | ||
GIFT_VOUCHER_PRICE
|
Integer | ||
TRANSACTION_VALUE
|
Integer | ||
Integer | USD | Currency Code | |
String | Apple MacBook Pro 14" M2 | Product Name | |
String | Electronics | Product Category | |
ITEM_CATEGORY_PROB
|
String | ||
String | Electronics | Product Category | |
ITEM_SUB_CATEGORY_PROB
|
String | ||
BASKET_CATEGORY
|
String | ||
BASKET_CATEGORY_WEIGHT
|
Float | ||
ORDER_REFERENCE
|
String | ||
TRANSACTION_ID
|
String | ||
ITEM_ID
|
String | ||
INBOX_ID
|
String | ||
String | UID | ||
RECEIVED_AT
|
Timestamp |
Description
Geography
History
Volume
3 | Retailers |
138,000 | panel size |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Gener8 Commerce Data (E-receipt Data) / Amazon Data, Ebay Data, Etsy Data, Temu Data Top Ecommerce Companies in the UK?
This proprietary commerce dataset covers 3 of the largest retailers in the world from users primarily in the UK, with a stable 5-year history. The data is obtained with the panel’s consent, using an integration with Gmail and Outlook, and offers unique insights into the digital economy.
What is Gener8 Commerce Data (E-receipt Data) / Amazon Data, Ebay Data, Etsy Data, Temu Data Top Ecommerce Companies in the UK used for?
This product has 5 key use cases. Gener8 Labs recommends using the data for Marketing, Purchase Intelligence, 360-Degree Customer View, Ecommerce Intelligence, and Customer Data Insights. Global businesses and organizations buy Online Purchase Data from Gener8 Labs to fuel their analytics and enrichment.
Who can use Gener8 Commerce Data (E-receipt Data) / Amazon Data, Ebay Data, Etsy Data, Temu Data Top Ecommerce Companies in the UK?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Online Purchase Data. Get in touch with Gener8 Labs to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Gener8 Commerce Data (E-receipt Data) / Amazon Data, Ebay Data, Etsy Data, Temu Data Top Ecommerce Companies in the UK go?
This Data Feed has 5 years of historical coverage. It can be delivered on a hourly, daily, weekly, monthly, and on-demand basis.
Which countries does Gener8 Commerce Data (E-receipt Data) / Amazon Data, Ebay Data, Etsy Data, Temu Data Top Ecommerce Companies in the UK cover?
This product includes data covering 1 country like United Kingdom. Gener8 Labs is headquartered in United Kingdom.
How much does Gener8 Commerce Data (E-receipt Data) / Amazon Data, Ebay Data, Etsy Data, Temu Data Top Ecommerce Companies in the UK cost?
Pricing information for Gener8 Commerce Data (E-receipt Data) / Amazon Data, Ebay Data, Etsy Data, Temu Data Top Ecommerce Companies in the UK is available by getting in contact with Gener8 Labs. Connect with Gener8 Labs to get a quote and arrange custom pricing models based on your data requirements.
How can I get Gener8 Commerce Data (E-receipt Data) / Amazon Data, Ebay Data, Etsy Data, Temu Data Top Ecommerce Companies in the UK?
Businesses can buy Online Purchase Data from Gener8 Labs and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Gener8 Labs can deliver this product in .json and .csv format.
What is the data quality of Gener8 Commerce Data (E-receipt Data) / Amazon Data, Ebay Data, Etsy Data, Temu Data Top Ecommerce Companies in the UK?
Gener8 Labs has reported that this product has the following quality and accuracy assurances: 95% panel stability. You can compare and assess the data quality of Gener8 Labs using Datarade’s data marketplace.
What are similar products to Gener8 Commerce Data (E-receipt Data) / Amazon Data, Ebay Data, Etsy Data, Temu Data Top Ecommerce Companies in the UK?
This Data Feed has 3 related products. These alternatives include Gener8 Online Purchase Data (E-receipt Data) Top Ecommerce Companies in the UK Amazon, Ebay, Etsy, Amazon Data Ecommerce Data Amazon Product Data Amazon Reviews Data No Infra Cost Pre-built AI & Automation 50% Cost Saving Free Sample, and Grepsr E-commerce Data Product and Review Datasets from Ecommerce websites Global Coverage with Custom and On-demand Datasets. You can compare the best Online Purchase Data providers and products via Datarade’s data marketplace and get the right data for your use case.