
B2B &B2C data |match online & offline location tagging |Postal Level Transaction |Consumer data| Digit Identifier | 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 |
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
|
|||
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 | ||
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 |
15 | Milion HEM |
160 | Milion MAID |
18 | 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 B2B &B2C data match online & offline location tagging Postal Level Transaction Consumer data Digit Identifier Europe USA Demographics?
Gain a competitive advantage with our comprehensive dataset of B2B & B2C purchase behaviors. Enriched with detailed demographics, firmo-graphics, digital identifiers (IP, MAID, HEM), and online behavior data, our information empowers your marketing and financial strategies.
What is B2B &B2C data match online & offline location tagging Postal Level Transaction Consumer data Digit Identifier Europe USA Demographics used for?
This product has 5 key use cases. AIKE 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 AIKE to fuel their analytics and enrichment.
Who can use B2B &B2C data match online & offline location tagging Postal Level Transaction Consumer data Digit Identifier 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 AIKE to see what their data can do for your business and find out which integrations they provide.
How far back does the data in B2B &B2C data match online & offline location tagging Postal Level Transaction Consumer data Digit Identifier Europe USA Demographics 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 B2B &B2C data match online & offline location tagging Postal Level Transaction Consumer data Digit Identifier Europe USA Demographics cover?
This product includes data covering 52 countries like USA, Germany, United Kingdom, France, and Italy. AIKE is headquartered in Switzerland.
How much does B2B &B2C data match online & offline location tagging Postal Level Transaction Consumer data Digit Identifier Europe USA Demographics cost?
Pricing information for B2B &B2C data match online & offline location tagging Postal Level Transaction Consumer data Digit Identifier Europe USA Demographics is available by getting in contact with AIKE. Connect with AIKE to get a quote and arrange custom pricing models based on your data requirements.
How can I get B2B &B2C data match online & offline location tagging Postal Level Transaction Consumer data Digit Identifier Europe USA Demographics?
Businesses can buy B2B Leads Data from AIKE and get the data via S3 Bucket, SFTP, and Feed API. Depending on your data requirements and subscription budget, AIKE can deliver this product in .json, .csv, and .xls format.
What is the data quality of B2B &B2C data match online & offline location tagging Postal Level Transaction Consumer data Digit Identifier Europe USA Demographics?
AIKE 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 AIKE using Datarade’s data marketplace. AIKE has received 2 reviews from clients.
What are similar products to B2B &B2C data match online & offline location tagging Postal Level Transaction Consumer data Digit Identifier Europe USA Demographics?
This product has 3 related products. These alternatives include B2B US Leads Data 167M+ USA Prospect Data, 100+ Data Attributes per Lead, Accurate and Up-to-date B2B Marketing Data, Global Telemarketing Data 90M+ Accurate Mobile Numbers API Bi-Weekly Updates, and List of Companies Using Salesforce 2025 Salesforce User List 100K+ List of Salesforce User Worldwide 100% Real-Time Verified 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.