Factori Mobility Data |US|+ One Year Historical Data Insights
| # | horizontal_accuracy |
timestamp |
id_type |
user_agent |
geohash |
hex8 |
hex9 |
carrier |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx |
| 2 | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx |
| 3 | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx |
| 4 | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx |
| 5 | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx |
| 6 | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx |
| 7 | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx |
| 8 | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx |
| 9 | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx |
| 10 | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx |
| ... | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
| String | 466092e825b352966b141b3ea03f7ffa8ed4963d | AAID | |
| String | bfb04731cb0d2ad47c649f66d3d640e179cc69fc | Latitude | |
| String | a83a539a50c4ff70cd80827b42e73228fcff76b6 | Longitude | |
|
horizontal_accuracy
|
Integer | 19 | |
|
timestamp
|
Integer | 1714571020 | |
|
id_type
|
Integer | 1 | |
| String | IPv4 Address | ||
| String | IPv6 Address | ||
|
user_agent
|
|||
| String | USA | Country Name | |
| String | US.HI | State Name | |
| String | US.HI.HA | City Name | |
| Integer | 96737 | Postal Code | |
|
geohash
|
String | 8e3hx9ts | |
|
hex8
|
String | 885d13cec5fffff | |
|
hex9
|
String | 895d13cec4bffff | |
|
carrier
|
String | AT&T Wireless |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
anonymous-id
|
a264e175d4b1731a6969dee6f9e692e7 | ||
|
latitude
|
32.9830903 | ||
|
longitude
|
130.4521135 | ||
|
horizontal_accuracy
|
54.2 | ||
|
timestamp
|
1601378119 | ||
|
id_type
|
1 | ||
| String | IPv4 Address | ||
| String | IPv6 Address | ||
|
user_agent
|
Mozilla/5.0 (Linux; Android 10; SH-02M Build/S5488; wv) A... | ||
|
country
|
JPN | ||
|
state_hasc
|
JP.AO | ||
|
city_hasc
|
JP.AO.AM | ||
|
postcode
|
864 | ||
|
geohash
|
wvug8s2k | ||
|
hex8
|
894b6699327ffff | ||
|
hex9
|
894b6699327ffff | ||
|
carrier
|
Vodafone |
Description
Country Coverage
History
Volume
| 295 million | DAU (Daily Active users) |
| 880 million | MAU (Monthly Active Users) |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Not available |
| Monthly License | Not available |
| Yearly License |
$180,000 / year |
| Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is Factori Mobility Data US + One Year Historical Data Insights?
We provide high-quality persistent mobility data from our partnered mobile apps & SDKs and this data feed is aggregated from multiple data sources globally and is delivered as a daily feed . All data is collected and anonymized with clear consent and terms of usage.
What is Factori Mobility Data US + One Year Historical Data Insights used for?
This product has 5 key use cases. Factori recommends using the data for Location Intelligence, Urban Mobility Analysis, Urban Planning, Location Planning, and Foot Traffic Analysis. Global businesses and organizations buy Store Location Data from Factori to fuel their analytics and enrichment.
Who can use Factori Mobility Data US + One Year Historical Data Insights?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Store Location Data. Get in touch with Factori to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Factori Mobility Data US + One Year Historical Data Insights go?
This product has 1 years of historical coverage. It can be delivered on a daily basis.
Which countries does Factori Mobility Data US + One Year Historical Data Insights cover?
This product includes data covering 1 country like USA. Factori is headquartered in United States of America.
How much does Factori Mobility Data US + One Year Historical Data Insights cost?
Pricing for Factori Mobility Data US + One Year Historical Data Insights starts at USD180,000 per year. Connect with Factori to get a quote and arrange custom pricing models based on your data requirements.
How can I get Factori Mobility Data US + One Year Historical Data Insights?
Businesses can buy Store Location Data from Factori and get the data via S3 Bucket and Email. Depending on your data requirements and subscription budget, Factori can deliver this product in .json and .csv format.
What is the data quality of Factori Mobility Data US + One Year Historical Data Insights?
Factori has reported that this product has the following quality and accuracy assurances: 90% Horizontal Accuracy, 90% Match Rate. You can compare and assess the data quality of Factori using Datarade’s data marketplace. Factori has received 2 reviews from clients. Factori appears on selected Datarade top lists ranking the best data providers, including 10 Best Data Providers for Customer Segmentation, Best Data Providers For Location-Based Marketing, and Top 10 POI Data Providers & APIs.
What are similar products to Factori Mobility Data US + One Year Historical Data Insights?
This product has 3 related products. These alternatives include Factori Mobility Data MENA + One Year Historical Data Insights, Irys Map Data Insights Europe Real-Time & Historical Mobility Data, and Echo Analytics Mobility Data & Insights Mobile Location Data 18.8M+ Locations in the US. You can compare the best Store Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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