Scorri| B2B B2C data |match online offline location tagging |Postal Level Transaction |Consumer data| Digit Identifiers | Europe |USA | Demographics
# | 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 |
HEM |
IP |
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 | ||
HEM
|
String | 274a97b08ef95e8fae1d9cb15b8dcbe4 | |
IP
|
String | ||
online reviews
|
|||
online trending products
|
|||
online top products
|
|||
More online attributes
|
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 | ||
HEM
|
Text | b6d49a887d041eb0d04f758416022fafad7ed3e377ab0ffd1f5cae9e6... | |
IP
|
Text | ||
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
Geography
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 B2B B2C data match online offline location tagging Postal Level Transaction Consumer data Digit Identifiers Europe USA Demographics?
Unlock comprehensive B2B and B2C insights with our vast pool of purchase data, enriched with demographic attributes, B2B/B2C, digit identifiers (IP MAID HEM) and online insights. We are able to support you with data and advisory service to boost your business in both marketing and financial area.
What is Scorri B2B B2C data match online offline location tagging Postal Level Transaction Consumer data Digit Identifiers Europe USA Demographics used for?
This product has 5 key use cases. Scorri recommends using the data for B2B Marketing, B2B Data Enrichment, Consumer Data Enrichment, Location Insights, and B2C Data Enrichment. Global businesses and organizations buy B2B Leads Data from Scorri to fuel their analytics and enrichment.
Who can use Scorri B2B B2C data match online offline location tagging Postal Level Transaction Consumer data Digit Identifiers Europe USA Demographics?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for B2B Leads 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 B2B B2C data match online offline location tagging Postal Level Transaction Consumer data Digit Identifiers Europe USA Demographics go?
This Tabular Data 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 B2B B2C data match online offline location tagging Postal Level Transaction Consumer data Digit Identifiers Europe USA Demographics cover?
This product includes data covering 52 countries like USA, Germany, United Kingdom, France, and Italy. Scorri is headquartered in Switzerland.
How much does Scorri B2B B2C data match online offline location tagging Postal Level Transaction Consumer data Digit Identifiers Europe USA Demographics cost?
Pricing information for Scorri B2B B2C data match online offline location tagging Postal Level Transaction Consumer data Digit Identifiers Europe USA Demographics 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 B2B B2C data match online offline location tagging Postal Level Transaction Consumer data Digit Identifiers Europe USA Demographics?
Businesses can buy B2B Leads 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 B2B B2C data match online offline location tagging Postal Level Transaction Consumer data Digit Identifiers Europe USA Demographics?
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.
What are similar products to Scorri B2B B2C data match online offline location tagging Postal Level Transaction Consumer data Digit Identifiers Europe USA Demographics?
This Tabular Data has 3 related products. These alternatives include B2B Marketing Data B2B Leads Data 500M+ Records Decision Makers, Executives, CEO, MD 20+ Attributes, Direct E-mail & Phone, Scorri Brand shopping data with online offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global, and Forager.ai - Global Mobile Phone Number Data API & Dataset 89M Mobile Numbers 95%+ Accurate Phone #s Bi-weekly Updates B2C Contact Data. You can compare the best B2B Leads Data providers and products via Datarade’s data marketplace and get the right data for your use case.