Intuizi Postal Origin Dataset | Point of Origination data for US or UK | Cloud delivery or visualised on our platform | 400m Uniques, updated daily
Verified Data Provider| # | eid |
dma_desc |
area |
signals |
name |
store_id |
year |
month |
day |
client |
|||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx |
| 2 | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
| 3 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 4 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
| 5 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx |
| 6 | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
| 7 | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx |
| 8 | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 9 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx |
| 10 | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | 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 |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
eid
|
String | AAAC7F7D9587B7C90685F772F5142C3E | |
| Integer | 1553 | Brand ID | |
| Integer | 3951254 | Location ID | |
|
dma_desc
|
String | Suffolk | |
|
area
|
|||
| String | 10119 | Postal Code | |
| String | 10119 | Postal Code | |
|
signals
|
|||
|
name
|
String | Lowestoft | |
|
store_id
|
Integer | 43 | |
| String | Address | ||
| String | Lowestoft | City Name | |
| String | ENG | State Name | |
| String | NR32 1ND | ZIP Code | |
| String | GBR | Country Name | |
| Float | 52.477748 | Latitude | |
| Float | 1.7535349 | Longitude | |
|
year
|
Integer | 2022 | |
|
month
|
Integer | 5 | |
|
day
|
Integer | 31 | |
|
client
|
String | 9d806a570b6e0c3a1f890f6b6ee00407 |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
eid
|
String | XXXXEE9FA9D37CA525E73C5D1C06C6D15 | |
| Integer | 564 | Brand ID | |
| Integer | 5648976 | Location ID | |
|
area
|
String | Harrow | |
| String | HA | Postal Code | |
| String | HA7 3QT | Postal Code | |
|
signals
|
Integer | 7 | |
| String | Starbucks, Harrow Centre | Location Name | |
|
Store_id
|
String | 564687 | |
| String | Address | ||
| String | New York | City Name | |
| String | AZ | State Name | |
| String | 93105 | ZIP Code | |
| String | USA | Country Name | |
| Float | 38.123648 | Latitude | |
| Float | -81.234987 | Longitude | |
|
year
|
Integer | 2021 | |
|
month
|
Integer | 06 | |
|
day
|
Integer | 26 | |
|
provider
|
String | 132db5bcf8a92738be6f18664e327fcf |
Description
Country Coverage
History
Volume
| 400 | m unique encrypted device identifiers |
Pricing
| License | Starts at |
|---|---|
| One-off purchase |
$5,000 / purchase |
| Monthly License |
$5,000 / month |
| Yearly License |
$60,000 / year |
| Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is Intuizi Postal Origin Dataset Point of Origination data for US or UK Cloud delivery or visualised on our platform 400m Uniques, updated daily?
Data for US or UK; delivered via Cloud or viewed via visualisation platform. Postal Origin report includes individual signal-level anonymous geospatial mobility data. Attributes - EID, ZIP/Post code, location name, country, lat/long, timestamp. High volume of devices, excellent value for money.
What is Intuizi Postal Origin Dataset Point of Origination data for US or UK Cloud delivery or visualised on our platform 400m Uniques, updated daily used for?
This product has 5 key use cases. Intuizi recommends using the data for Location Intelligence, Location Insights, Origin-Destination (O-D) Analysis, Customer Insights, and Customer Data Insights. Global businesses and organizations buy Point of Interest (POI) Data from Intuizi to fuel their analytics and enrichment.
Who can use Intuizi Postal Origin Dataset Point of Origination data for US or UK Cloud delivery or visualised on our platform 400m Uniques, updated daily?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Point of Interest (POI) Data. Get in touch with Intuizi to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Intuizi Postal Origin Dataset Point of Origination data for US or UK Cloud delivery or visualised on our platform 400m Uniques, updated daily go?
This product has 12 months of historical coverage. It can be delivered on a hourly, daily, weekly, monthly, quarterly, yearly, and on-demand basis.
Which countries does Intuizi Postal Origin Dataset Point of Origination data for US or UK Cloud delivery or visualised on our platform 400m Uniques, updated daily cover?
This product includes data covering 2 countries like USA and United Kingdom. Intuizi is headquartered in United States of America.
How much does Intuizi Postal Origin Dataset Point of Origination data for US or UK Cloud delivery or visualised on our platform 400m Uniques, updated daily cost?
Pricing for Intuizi Postal Origin Dataset Point of Origination data for US or UK Cloud delivery or visualised on our platform 400m Uniques, updated daily starts at USD5,000 per purchase. Connect with Intuizi to get a quote and arrange custom pricing models based on your data requirements.
How can I get Intuizi Postal Origin Dataset Point of Origination data for US or UK Cloud delivery or visualised on our platform 400m Uniques, updated daily?
Businesses can buy Point of Interest (POI) Data from Intuizi and get the data via S3 Bucket, SFTP, and UI Export. Depending on your data requirements and subscription budget, Intuizi can deliver this product in .csv format.
What is the data quality of Intuizi Postal Origin Dataset Point of Origination data for US or UK Cloud delivery or visualised on our platform 400m Uniques, updated daily?
You can compare and assess the data quality of Intuizi using Datarade’s data marketplace. Intuizi has received 3 reviews from clients.
What are similar products to Intuizi Postal Origin Dataset Point of Origination data for US or UK Cloud delivery or visualised on our platform 400m Uniques, updated daily?
This product has 3 related products. These alternatives include Intuizi Country Origin Dataset Geospatial Mobility detail data for 94 countries Cloud delivery 400m Uniques, updated daily, Echo Analytics Mobility Data & Insights Mobile Location Data 18.8M+ Locations in the US, and GapMaps Mobility Data by Azira Global Mobility Data Current and Historical Privacy Compliant. You can compare the best Point of Interest (POI) Data providers and products via Datarade’s data marketplace and get the right data for your use case.
