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Consumer Ecommerce Purchases Dataset -- Anywhere in the World

A dataset by Vumonic
Pricing available upon request Get a Quote
user_code age_group gender transaction_code +19 more
1 cru6d03j 25-34 male FL-00006D0380728821 ...
2 cru6d03j 25-34 male FL-00006D0380728821 Sample
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Consumer Ecommerce Purchases Dataset -- Anywhere in the World

Volume

10 million transactions/dataset

Use Cases

Geography

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

Categories

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
promo code paytm100 promotional/offer code applied

History

3 years of history data

Product Description

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

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Pricing

Free sample available
License Starts at
One-off purchase Available
Monthly license Not available
Yearly license Available
Usage-based Not available

Quality

Self-reported by the provider
CI

Delivery

Frequency
secondly
minutely
hourly
daily
weekly
monthly
quarterly
yearly
real-time
on-demand
Format
.bin
.json
.xml
.csv
.xls
.sql
.txt

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