Consumer Ecommerce Purchases Dataset -- Anywhere in the World

A set of cleaned, categorized ecommerce puchases for any ecommerce market in the world (any geography or product vertical).

Data Fit

Use Cases

Ecommerce Insights

behavioral analytics

Consumer Trend Analysis

Consumer Intelligence

Hedge Funds

Based on

Credit Card Transaction Data

Brand Data

Ecommerce Data

Overview

Product Type
Dataset
Pricing Models
One-off purchase, Yearly subscription
Historic Data
3 years of past data available
Volume
1M - 10M transactions/dataset
Quality
95% CI
Suitable for
Enterprises, Mid Market, Small Businesses

Geo Coverage

Focus

Africa (3)
Kenya
Nigeria
South Africa
Asia (2)
India
Thailand
Europe (5)
Estonia
France
Germany
Spain
United Kingdom
North America (1)
United States of America
Oceania (2)
Australia
New Zealand

Details

columns include date of purchase, vendor, item, price, tax, discount, date delivered, user age, location, gender, etc.

Data Attributes

Attribute Example Description
user_code cru6d03j unique user code (same user gets same code across all databases)
age_group 25-34 range of age group
gender male male/female
transaction_code FL-00006D0380728821 unique to a transaction
platform flipkart online platform
category refrigerator as mentioned
brand lg as mentioned
product_name LG 235 L Direct Cool Single Door 5 Star 2019 BEE Rating Refrigerator with Base Drawer as mentioned
subtotal 20699 total price
discount 0 offers/discounts
tax 0 tax applied
total 20699 total amount paid
quantity 1 quantity of products purchased
payment_mode wallet mode of payment
email_time 2020-01-21 10:53:00+00:00 time of email
month 2019-11 month of purchase
seller Electronic Guru seller name as mentioned
city Bilaspur city
postal_code 135102 postal or zip code
district yamuna nagar district
state haryana state
tier tier3 as defined

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