Scorri| Consumer purchase data with 40+ demographic attributes| Transactions with Demographic data & Lifestyle attributes| IP, MAID, HEM| Investors
# | Brand |
transaction_date_range |
postal sector |
total shopper |
total transaction |
total amount |
panel size |
panel total transactions |
panel total spend amount |
total shoppers by age_band |
total shoppers by gender |
total shoppers by income |
buy power |
LSOA |
MSOA |
online reviews |
online trending products |
online top products |
More online attributes |
|||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx |
2 | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx |
3 | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx |
4 | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx |
5 | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx |
6 | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx |
7 | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx |
8 | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx |
9 | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx |
10 | 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 |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Brand
|
String | 02cb98b0788a189f4d191dc01cdf8b05 | |
transaction_date_range
|
String | 12/1/2023 | |
postal sector
|
String | SP9 7 | |
total shopper
|
Integer | 3 | |
total transaction
|
Integer | 10 | |
total amount
|
Float | 134.8 | |
panel size
|
Integer | 1359 | |
panel total transactions
|
Integer | 1765 | |
panel total spend amount
|
String | 74,387.16 | |
total shoppers by age_band
|
String | 35-39 | |
total shoppers by gender
|
String | W | |
total shoppers by income
|
String | 30K to 40K | |
buy power
|
Integer | 6 | |
LSOA
|
String | E01022052 | |
MSOA
|
String | E02004577 | |
String | MAID | ||
String | Hashed Email Address | ||
String | IPv4 Address | ||
online reviews
|
String | ||
online trending products
|
String | ||
online top products
|
String | ||
fake review
|
String |
Attribute | Type | Example | Mapping |
---|---|---|---|
Brand name
|
Text | Scorri | |
Transaction date range
|
Date | 01.01.2024 | |
Postal sector
|
Text | DE65 | |
Total shopper
|
Integer | 10 | |
Total transaction
|
Integer | 15 | |
Total amount
|
Decimal | 2,000.00 | |
Panel size
|
Integer | 50 | |
Panel total transactions
|
Integer | 65 | |
Panel total spend amount
|
Decimal | 5,000.00 | |
Total shoppers by age_band
|
Integer | 3 | |
Total shoppers by gender
|
Integer | 2 | |
Total shoppers by income
|
Integer | 4 | |
Buy power
|
Integer | 1-10 | |
LSOA
|
Text | S02001710 | |
MSOA
|
Text | E02000152 | |
Text | MAID | ||
Text | Hashed Email Address | ||
Text | IPv4 Address | ||
Online reviews
|
Text | To be customized | |
Online trending products
|
Text | To be customized | |
Online top products
|
Text | To be customized | |
Fake reviews
|
Text | To be customized |
Description
Country Coverage
History
Volume
100 | Milion IP address |
8 | Milion HEM |
160 | Milion MAID |
15 | Billion Transactions |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Scorri Consumer purchase data with 40+ demographic attributes Transactions with Demographic data & Lifestyle attributes IP, MAID, HEM Investors?
Gain a competitive edge with our comprehensive purchase data. Understand your consumers, benchmark against competitors, and optimize marketing strategies with deep insight into demographic, digital identifiers (IP, MAID, HEM), and online behaviors.
What is Scorri Consumer purchase data with 40+ demographic attributes Transactions with Demographic data & Lifestyle attributes IP, MAID, HEM Investors used for?
This product has 5 key use cases. Scorri recommends using the data for Artificial Intelligence (AI), Predictive Analytics, Behavioral Analytics, Consumer Data Enrichment, and Web Data Collection. Global businesses and organizations buy Demographic Data from Scorri to fuel their analytics and enrichment.
Who can use Scorri Consumer purchase data with 40+ demographic attributes Transactions with Demographic data & Lifestyle attributes IP, MAID, HEM Investors?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Demographic Data. Get in touch with Scorri to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Scorri Consumer purchase data with 40+ demographic attributes Transactions with Demographic data & Lifestyle attributes IP, MAID, HEM Investors go?
This product has 6 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does Scorri Consumer purchase data with 40+ demographic attributes Transactions with Demographic data & Lifestyle attributes IP, MAID, HEM Investors cover?
This product includes data covering 2 countries like USA and United Kingdom. Scorri is headquartered in Switzerland.
How much does Scorri Consumer purchase data with 40+ demographic attributes Transactions with Demographic data & Lifestyle attributes IP, MAID, HEM Investors cost?
Pricing information for Scorri Consumer purchase data with 40+ demographic attributes Transactions with Demographic data & Lifestyle attributes IP, MAID, HEM Investors is available by getting in contact with Scorri. Connect with Scorri to get a quote and arrange custom pricing models based on your data requirements.
How can I get Scorri Consumer purchase data with 40+ demographic attributes Transactions with Demographic data & Lifestyle attributes IP, MAID, HEM Investors?
Businesses can buy Demographic Data from Scorri and get the data via S3 Bucket, SFTP, and Feed API. Depending on your data requirements and subscription budget, Scorri can deliver this product in .json, .csv, and .xls format.
What is the data quality of Scorri Consumer purchase data with 40+ demographic attributes Transactions with Demographic data & Lifestyle attributes IP, MAID, HEM Investors?
Scorri has reported that this product has the following quality and accuracy assurances: 96% Accurancy of extracted data. You can compare and assess the data quality of Scorri using Datarade’s data marketplace. Scorri has received 2 reviews from clients.
What are similar products to Scorri Consumer purchase data with 40+ demographic attributes Transactions with Demographic data & Lifestyle attributes IP, MAID, HEM Investors?
This product has 3 related products. These alternatives include GapMaps USA and Canada Segmentation Data (AGS) Demographic Data Consumer Sentiment Data 68 Segments, Versium REACH - Consumer Household and Financial Demographic Append (Income, Home Value, Financial Data, etc) Enrichment, USA, CCPA Compliant, and Redmob: Consumer Demographic Data I Global I 1.5B Users & Real-Time. You can compare the best Demographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.