Scorri|Brand shopping data with online offline and location tagging|Postal Level Transaction|Consumer data| Digit Identifiers | Global
# | 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
|
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 | ||
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 Brand shopping data with online offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global?
Unlock comprehensive consumer and competitor insights with our vast pool of purchase data, enriched with demographic attributes, 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 Brand shopping data with online offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global used for?
This product has 5 key use cases. Scorri recommends using the data for Artificial Intelligence (AI), Investing, Behavioral Analytics, Competitor Insights, and Web Data Collection. Global businesses and organizations buy Consumer Behavior Data from Scorri to fuel their analytics and enrichment.
Who can use Scorri Brand shopping data with online offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Consumer Behavior 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 Brand shopping data with online offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global 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 Brand shopping data with online offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global cover?
This product includes data covering 2 countries like USA and United Kingdom. Scorri is headquartered in Switzerland.
How much does Scorri Brand shopping data with online offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global cost?
Pricing information for Scorri Brand shopping data with online offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global 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 Brand shopping data with online offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global?
Businesses can buy Consumer Behavior 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 Brand shopping data with online offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global?
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 Brand shopping data with online offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global?
This Tabular Data has 3 related products. These alternatives include Scorri Web activity with brand and consumer sentiment analysis and shopping heat map share of voice brand health and transaction Online Offline Data, Gener8 SKU-Level Transaction/ Receipt Data 27M+ Transactions & 140+ Global and UK Retailers GDPR-Compliant, and DecaData Grocery Retail Transaction Data Point-of-Sale (POS). You can compare the best Consumer Behavior Data providers and products via Datarade’s data marketplace and get the right data for your use case.