Gener8 | Retail/ Ecommerce Data | 5+ Years History | 27M+ Retail Transaction Data and over 140 Global and UK Retailers | GDPR-Compliant
# | DATETIME |
ENTITY_NAME |
G8_ENTITY_ID |
ITEM_TITLE |
ITEM_QUANTITY |
BASKET_VALUE |
TOTAL_TAX |
DISCOUNT_PRICE |
SHIPPING_PRICE |
GIFT_VOUCHER_PRICE |
TRANSACTION_VALUE |
ITEM_CATEGORY_PROB |
ITEM_SUB_CATEGORY_PROB |
BASKET_CATEGORY |
BASKET_CATEGORY_WEIGHT |
ORDER_REFERENCE |
TRANSACTION_ID |
INBOX_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 | |
String | ASC | Stock Ticker | |
ITEM_TITLE
|
String | ASOS DESIGN 3 pack basic cotton tanga thongs in black | |
String | GB0030927254 | ISIN | |
Integer | 5961 | Company SIC Code | |
ITEM_QUANTITY
|
Integer | 2 | |
Integer | 1200 | Product Price | |
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 | |
String | GBP | Currency Name | |
String | Asos Design | Company Name | |
String | Clothing & Accessories | Product Category | |
ITEM_CATEGORY_PROB
|
Integer | 1 | |
String | Women's Clothing | Product Category | |
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 | |
String | fb35c812-6901-5f46-b11e-3b75070db8ce-0 | Product ID | |
INBOX_ID
|
String | eb1c3619-90b6-41b6-b995-c51ae8402855 | |
String | 604d08db-261f-55db-bcfc-fd7b96d26500 | UID | |
RECEIVED_AT
|
String | 2023-04-18 06:57:52.000000 UTC |
Description
Geography
History
Volume
147 | Merchants |
27 million | transactions |
138,000 | Panel Size |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Gener8 Retail/ Ecommerce Data 5+ Years History 27M+ Retail Transaction Data and over 140 Global and UK Retailers GDPR-Compliant?
Gener8’s proprietary retail transaction dataset covers 140+ merchants across ecommerce with a stable 5-year history. The data is obtained with the panel’s consent, using an integration with Gmail & Outlook, and offers unique insights into the digital economy.
What is Gener8 Retail/ Ecommerce Data 5+ Years History 27M+ Retail Transaction Data and over 140 Global and UK Retailers GDPR-Compliant used for?
This product has 5 key use cases. Gener8 Labs recommends using the data for Hedge Funds, Alpha Generation, Quantitative Investing, Ecommerce Analysis, and Equity Reseach. Global businesses and organizations buy Consumer Transaction Data from Gener8 Labs to fuel their analytics and enrichment.
Who can use Gener8 Retail/ Ecommerce Data 5+ Years History 27M+ Retail Transaction Data and over 140 Global and UK Retailers GDPR-Compliant?
This product is best suited if you’re a Enterprise or Medium-sized Business looking for Consumer Transaction 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 Retail/ Ecommerce Data 5+ Years History 27M+ Retail Transaction Data and over 140 Global and UK Retailers GDPR-Compliant 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 Retail/ Ecommerce Data 5+ Years History 27M+ Retail Transaction Data and over 140 Global and UK Retailers GDPR-Compliant cover?
This product includes data covering 1 country like United Kingdom. Gener8 Labs is headquartered in United Kingdom.
How much does Gener8 Retail/ Ecommerce Data 5+ Years History 27M+ Retail Transaction Data and over 140 Global and UK Retailers GDPR-Compliant cost?
Pricing information for Gener8 Retail/ Ecommerce Data 5+ Years History 27M+ Retail Transaction Data and over 140 Global and UK Retailers GDPR-Compliant 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 Retail/ Ecommerce Data 5+ Years History 27M+ Retail Transaction Data and over 140 Global and UK Retailers GDPR-Compliant?
Businesses can buy Consumer Transaction 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 Retail/ Ecommerce Data 5+ Years History 27M+ Retail Transaction Data and over 140 Global and UK Retailers GDPR-Compliant?
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 Retail/ Ecommerce Data 5+ Years History 27M+ Retail Transaction Data and over 140 Global and UK Retailers GDPR-Compliant?
This Data Feed has 3 related products. These alternatives include Gener8 SKU-Level Transaction/ Receipt Data 27M+ Transactions & 140+ Global and UK Retailers GDPR-Compliant, FoodPanda Food & Grocery Transaction Data Email Receipt Data Asia Granular & Aggregate Data available, and DecaData Grocery Retail Transaction Data Point-of-Sale (POS). 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.