Gener8 | Retail Consumer Online Purchase Data | 27M+ Consumer Transactions & 900+ Tickers | GDPR-Compliant
# | DATETIME |
G8_ENTITY_ID |
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 |
ITEM_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 |
2 | 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 | xxxxxxxxx | Xxxxxxx |
3 | 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 | Xxxxx | xxxxxxxxxx | Xxxxxxx |
4 | Xxxxx | xxxxxxxxxx | Xxxxxx | 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 |
5 | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
6 | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
7 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx |
8 | 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 |
9 | 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 |
10 | 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 | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx |
Data Dictionary
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
900 | tickers |
138,000 | panel size |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Gener8 Retail Consumer Online Purchase Data 27M+ Consumer Transactions & 900+ Tickers GDPR-Compliant?
Gener8’s Retail Consumer Online Purchase Data is tickerised at the SKU-level 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 through Retail Consumer Online Purchase Data.
What is Gener8 Retail Consumer Online Purchase Data 27M+ Consumer Transactions & 900+ Tickers GDPR-Compliant 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 Retail Consumer Online Purchase Data 27M+ Consumer Transactions & 900+ Tickers GDPR-Compliant?
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 Retail Consumer Online Purchase Data 27M+ Consumer Transactions & 900+ Tickers GDPR-Compliant go?
This Data Feed has 5 years of historical coverage. It can be delivered on a daily, weekly, monthly, and on-demand basis.
Which countries does Gener8 Retail Consumer Online Purchase Data 27M+ Consumer Transactions & 900+ Tickers 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 Consumer Online Purchase Data 27M+ Consumer Transactions & 900+ Tickers GDPR-Compliant cost?
Pricing information for Gener8 Retail Consumer Online Purchase Data 27M+ Consumer Transactions & 900+ Tickers 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 Consumer Online Purchase Data 27M+ Consumer Transactions & 900+ Tickers GDPR-Compliant?
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 Retail Consumer Online Purchase Data 27M+ Consumer Transactions & 900+ Tickers 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 Consumer Online Purchase Data 27M+ Consumer Transactions & 900+ Tickers GDPR-Compliant?
This Data Feed has 3 related products. These alternatives include Gener8 E-Receipt Data 27M+ Transactions covering 100+ UK Retailers GDPR-Compliant, Consumer Edge Transact Signal EUR Consumer Alternative Data Austria, France, Germany, Italy, Spain, UK 6.7M Accounts, 5K Merchants, 600 Companies, and DecaData Grocery Retail Transaction Data Point-of-Sale (POS). 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.