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AIKE|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 |
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 |
22 | 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 AIKE Brand shopping data with online &offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global?
Drive growth with our comprehensive consumer and competitor data. Uncover deep insights from purchasing behaviors, demographics, digital identifiers (IP, MAID, HEM), and online activity to refine your marketing strategies. Optimize financial decision, and stay ahead of the competition.
What is AIKE 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. AIKE 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 AIKE to fuel their analytics and enrichment.
Who can use AIKE 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 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 AIKE Brand shopping data with online &offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global 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 AIKE 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. AIKE is headquartered in Switzerland.
How much does AIKE Brand shopping data with online &offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global cost?
Pricing information for AIKE Brand shopping data with online &offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global 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 AIKE Brand shopping data with online &offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global?
Businesses can buy Consumer Behavior 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 AIKE Brand shopping data with online &offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global?
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 AIKE Brand shopping data with online &offline and location tagging Postal Level Transaction Consumer data Digit Identifiers Global?
This product has 3 related products. These alternatives include AIKE Web activity with brand and consumer sentiment analysis and shopping heat map share of voice brand health and transaction Online&Offline Data, Consumer Edge Vision Retention Data CPG, Grocery, Food Delivery Psychographic US Transaction 100M+ Cards, 12K+ Merchants, Retail & Ecommerce, and Envestnet Yodlee’s De-Identified Travel Transaction Data Row/Aggregate Level USA Consumer Data covering 3600+ corporations 90M+ Accounts. 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.