eCommerce Purchases data / online Basket e-comm Shopping data
Verified Data Provider|
id
|
session_id
|
domain_session_id
|
transaction_id
|
panelist_id
|
domain
|
url
|
event_type
|
event_origin
|
entry_source
|
title
|
language
|
product_name
|
product_code
|
product_category
|
brand_name
|
seller
|
sold_by_party
|
ships_from_party
|
available
|
quantity
|
currency
|
price
|
price_details
|
usd_price
|
currency_details
|
total_price
|
total_price_currency
|
keyword
|
device
|
os_name
|
os_version
|
region
|
city
|
postal_code
|
timestamp
|
utc_date
|
country_code
|
marketplace
|
date
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | 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 | 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 | 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 | 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 |
| 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 | 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 | 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 | 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 | 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 | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx |
| Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
id
|
String | BC2B86BDE52CF62B020116B41237AC3B00B41082EE5E90017FA07DEF8... | |
|
session_id
|
String | D893E4065732EE9E9B225D321565815FF7C3D8F3463E4E8CDCABD3EC0... | |
|
domain_session_id
|
String | DC8FC171C03DB9DCE5141241E95F086790735CA97DB28B549C5022288... | |
|
transaction_id
|
String | A298FC2A8B27B0562C27266C8EC2DFCFF9CE8F51FB21002A9138C679D... | |
|
panelist_id
|
String | 2071644AC39750FBC19CCD1EFF923990959ECFF6D0053648FE3E4B808... | |
|
domain
|
String | samsclub.com | |
|
url
|
String | https://www.samsclub.com/checkout?singleCX=true&xid=cart_... | |
|
event_type
|
String | CHECKOUT_PRODUCT | |
|
event_origin
|
String | REGULAR | |
|
entry_source
|
String | mobile app | |
|
title
|
String | Checkout - Sam's Club | |
|
language
|
String | en-US,en;q=0.9 | |
|
product_name
|
String | 4C 35 QT Peach Iced Tea Mix (82.6 oz.) | |
|
product_code
|
Integer | 658531 | |
|
product_category
|
|||
|
brand_name
|
|||
|
seller
|
|||
|
sold_by_party
|
|||
|
ships_from_party
|
|||
|
available
|
Boolean | t | |
|
quantity
|
Integer | 1 | |
|
currency
|
String | USD | |
|
price
|
Float | 5.88 | |
|
price_details
|
|||
|
usd_price
|
Float | 5.88 | |
|
currency_details
|
|||
|
total_price
|
|||
|
total_price_currency
|
|||
|
keyword
|
|||
|
device
|
String | Mobile | |
|
os_name
|
String | android | |
|
os_version
|
|||
|
region
|
String | Punjab | |
|
city
|
String | Dijkot | |
|
postal_code
|
Integer | 49071 | |
|
timestamp
|
Integer | 1691012287804 | |
|
utc_date
|
String | 8/2/2023 | |
|
country_code
|
String | PK | |
|
marketplace
|
String | samsclub | |
|
date
|
String | 8/2/2023 |
Description
Country Coverage
History
Volume
| 3 million | Panelists |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Available |
| Monthly License | Available |
| Yearly License | Available |
| Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
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TikTok Shop data | E-commerce and social commerce granular transactional data
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Frequently asked questions
What is eCommerce Purchases data / online Basket e-comm Shopping data?
Purchase behavior analytics: ecommerce Purchases data / online Basket data. User shopping user journey & online product check-out. Online purchases on multiple Marketplaces for Germany and USA.
What is eCommerce Purchases data / online Basket e-comm Shopping data used for?
This product has 5 key use cases. BIScience LTD recommends using the data for Purchase Intelligence, Consumer Trend Analysis, Consumer Intelligence, Ecommerce Intelligence, and Consumer Data Enrichment. Global businesses and organizations buy Ecommerce Data from BIScience LTD to fuel their analytics and enrichment.
Who can use eCommerce Purchases data / online Basket e-comm Shopping data?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Ecommerce Data. Get in touch with BIScience LTD to see what their data can do for your business and find out which integrations they provide.
How far back does the data in eCommerce Purchases data / online Basket e-comm Shopping data go?
This product has 3 years of historical coverage. It can be delivered on a daily basis.
Which countries does eCommerce Purchases data / online Basket e-comm Shopping data cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. BIScience LTD is headquartered in United States of America.
How much does eCommerce Purchases data / online Basket e-comm Shopping data cost?
Pricing information for eCommerce Purchases data / online Basket e-comm Shopping data is available by getting in contact with BIScience LTD. Connect with BIScience LTD to get a quote and arrange custom pricing models based on your data requirements.
How can I get eCommerce Purchases data / online Basket e-comm Shopping data?
Businesses can buy Ecommerce Data from BIScience LTD and get the data via S3 Bucket. Depending on your data requirements and subscription budget, BIScience LTD can deliver this product in .csv, .json, .parquet, and .xls format.
What is the data quality of eCommerce Purchases data / online Basket e-comm Shopping data?
You can compare and assess the data quality of BIScience LTD using Datarade’s data marketplace.
What are similar products to eCommerce Purchases data / online Basket e-comm Shopping data?
This product has 3 related products. These alternatives include Product and Price Data, Product Reviews Data from Google Shopping Ecommerce Data Real-Time API, TikTok Shop data E-commerce and social commerce granular transactional data, and Ecommerce Data Store Location Data Global Coverage 61M+ Contacts (Verified E-mail, Direct Dails) Decision Makers Contacts 20+ Attributes. You can compare the best Ecommerce Data providers and products via Datarade’s data marketplace and get the right data for your use case.
BIScience LTD
Digital Intelligence at Scale
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