Factori Mobility/ Raw Location Data | Global mobile location data (1 year history)
| # | anonymous_id |
latitude |
longitude |
horizontal_accuracy |
timestamp |
id_type |
ipv4 |
ipv6 |
user_agent |
country |
state_hasc |
city_hasc |
postcode |
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 |
|---|---|---|
|
anonymous_id
|
String | db65fc711deeb22726f8718e0f21ab64 |
|
latitude
|
String | 57c8e37badc1785ed4407b2dff387da5 |
|
longitude
|
String | 065288353808b35d87d34bf6e1cbba6a |
|
horizontal_accuracy
|
Float | 8.0 |
|
timestamp
|
Integer | 1663818213 |
|
id_type
|
Integer | 0 |
|
ipv4
|
String | 162.251.173.0 |
|
ipv6
|
String | |
|
user_agent
|
String | |
|
country
|
String | USA |
|
state_hasc
|
String | US.TN |
|
city_hasc
|
String | US.TN.MT |
|
postcode
|
Integer | 37042 |
|
geohash
|
String | d255ce2a822df4ed808fd35d6c432b3b |
|
hex8
|
String | dee9003d07ec98a2cb7d0a06061611ba |
|
hex9
|
String | 19243c85153066749db2d401611cdecd |
|
carrier
|
String | Clarksville Department Of Electricity |
| Attribute | Type | Example |
|---|---|---|
|
Anonymous ID
|
a264e175d4b1731a6969dee6f9e692e7 | |
|
latitude
|
Float | 35.45 |
|
longitude
|
Float | 20.35 |
|
Carrier
|
Vodafone | |
|
Timestamp
|
12/12/2019 08:34:55 | |
|
ha_accuracy
|
7 | |
|
country
|
IND | |
|
Connection
|
Carrier | |
|
os
|
android | |
|
altitude
|
47.4453125 | |
|
ip4
|
119.47.183.113 | |
|
ip6
|
FE80::F8B4:1AFF:FEA4:DE07 | |
|
id_type
|
1 | |
|
vertical_accuracy
|
34 | |
|
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
|
884b669933fffff | |
|
hex9
|
884b669933fffff | |
|
heading
|
204.24199 | |
|
speed
|
1.2 | |
|
wifi_ssid
|
NETGEAR89 | |
|
wifi_bssid
|
a0:63:91:72:15:05 |
Description
Geography
History
Volume
| 1.92 billion | Daily Location Pings |
| 305 | Average pings per month |
| 55 | Average pings per Day |
| 226 billion | Monthly Location Pings |
| 295 million | DAU (Daily Active users) |
| 880 million | MAU (Monthly Active Users) |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Not available |
| Monthly License |
$5,000$4,500 / month |
| Yearly License |
$59,500$53,550 / year |
| Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Factori Mobility/ Raw Location Data Global mobile location data (1 year history)?
High quality persistent GPS-based mobile location data collected via SDK from mobile apps that is provided as a daily feed.
What is Factori Mobility/ Raw Location Data Global mobile location data (1 year history) used for?
This product has 5 key use cases. Factori recommends using the data for Consumer Profiling, Footfall Attribution, Mobility Studies, Consumer Journey, and Online-To-Offline (O2O) Analytics. Global businesses and organizations buy Location Data from Factori to fuel their analytics and enrichment.
Who can use Factori Mobility/ Raw Location Data Global mobile location data (1 year history)?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for 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/ Raw Location Data Global mobile location data (1 year history) go?
This Dataset / Database / Data Feed / Data API has 2 years of historical coverage. It can be delivered on a hourly, daily, weekly, monthly, and on-demand basis.
Which countries does Factori Mobility/ Raw Location Data Global mobile location data (1 year history) cover?
This product includes data covering 248 countries like USA, Japan, Germany, India, and United Kingdom. Factori is headquartered in United States of America.
How much does Factori Mobility/ Raw Location Data Global mobile location data (1 year history) cost?
Pricing for Factori Mobility/ Raw Location Data Global mobile location data (1 year history) starts at USD5,000 per month. Factori offers a 10% discount when you buy data from them through Datarade. Connect with Factori to get a quote and arrange custom pricing models based on your data requirements.
How can I get Factori Mobility/ Raw Location Data Global mobile location data (1 year history)?
Businesses can buy Location Data from Factori and get the data via S3 Bucket, SFTP, and REST API. Depending on your data requirements and subscription budget, Factori can deliver this product in .csv format.
What is the data quality of Factori Mobility/ Raw Location Data Global mobile location data (1 year history)?
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/ Raw Location Data Global mobile location data (1 year history)?
This Dataset / Database / Data Feed / Data API has 3 related products. These alternatives include Factori Mobility Data Mobile location data (1 year history), Onemata Global Raw Historical Mobile Location Data Prior 18 Months GPS-Derived Location Data, and Real Time & Historical Mobile Location Data (GPS) - Asia. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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