Raw Location Data

Raw location data is location data which is structured and primed for analysis. It is usually collected from mobile users via SDKs and MAIDs. Raw location data providers can deliver datasets via APIs and feeds, making the data instantly usable for location-based intelligence. Learn more →
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start.io Raw Location Data (GPS via SDK) - Global Data Coverage 249 countries covered icon
249 countries covered
start.io Raw Location Data (GPS via SDK) - Global Data Coverage 2 years of historical data icon
2 years of historical data
Mobile location GPS data with timestamp and ADID, sourced from our proprietary SDK, cleaned, filtered and structured.
Quadrant Global Raw Location Data - 500+ Million Unique Devices Per Country  365 Million Devices icon
365 Million Devices
Quadrant Global Raw Location Data - 500+ Million Unique Devices Per Country  249 countries covered icon
249 countries covered
Quadrant Global Raw Location Data - 500+ Million Unique Devices Per Country  2 years of historical data icon
2 years of historical data
Quadrant’s raw location data is gathered from a variety of mobile SDKs across the world, allowing you to perform location analytics and derive location-based...
Kochava Collective - Global Location Data  198 countries covered icon
198 countries covered
Global Location Data from the Kochava Collective.
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datarade.ai - Lifesight profile banner
Based in Singapore
Lifesight is a data & analytics company specializing in customer intelligence. We collect, enrich and distribute high quality online and offline consumer beh...
3.6 B
Event per Day
1.2 B
Consumer Profiles
Brands Tracked
datarade.ai - start.io profile banner
Based in USA
Start.io is a mobile data platform. Start.io (formerly StartApp) enables organizations to uncover insights and make data-driven decisions that enhance strate...
SDK Downloads
datarade.ai - Kochava Collective profile banner
Kochava Collective
Based in USA
Kochava Collective
The Kochava Collective is an independent mobile data marketplace. Our privacy-first data is anonymized and aggregated to activate and expand collaborative au...
Global Devices
Monthly Active Users
Apps worldwide
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The Ultimate Guide to Raw Location Data 2021

Learn about raw location data analytics, sources, and collection.

What is raw location data?

Raw location data is a sub-category of location data. It’s data which hasn’t been filtered or processed by a location data provider. The most important thing with raw location data is that it hasn’t undergone any filtering or analytics procedures - it’s pure location information. This means that it can be integrated into any business system and is applicable for lots of use cases.

What is the difference between raw and processed location data?

Generally, raw location data costs less to buy than processed location data. This is because, when selling raw location data, a location data provider doesn’t have to spend time and money conducting analytics or filtering the datasets. This also means that raw location datasets are usually larger in volume than processed location databases, as a raw location data provider doesn’t remove any data points from its offering if there isn’t a ‘filter’ stage.

Who uses raw location data?

Businesses use raw location data for consumer behavior analysis and location-based marketing. Raw location data is generally less accurate than a processed location dataset, but the user gets access to a greater amount of location data points covering a greater number of mobile device users. Because raw location data is usually cheaper than filtered location data, it’s often popular with new businesses and retailers.

How is raw location data collected?

Like location mobile data, raw location data usually is collected from mobile phone signals. These signals are produced by GPS, WiFi and beacons, then collected by MAIDs and SDKs. These are pieces of software found in cell phones which can provide information about the device’s longitude/latitude position, IP address and device ID.

Where can I get raw location data?

Location data providers offer raw location datasets and APIs to buy via Datarade’s platform. There are various pricing options available for commercial raw location data, including subscription models and usage-based prices. Datarade’s verified location data providers offer high-quality raw location datasets using verified collection methods and location data sources.

Who are the best Raw Location Data providers?

Finding the right Raw Location Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Raw Location Data providers that you might want to buy Raw Location Data from are Lifesight, start.io, Kochava Collective, Quadrant, and Predicio.

Where can I buy Raw Location Data?

Data providers and vendors listed on Datarade sell Raw Location Data products and samples. Popular Raw Location Data products and datasets available on our platform are start.io Raw Location Data (GPS via SDK) - Global Data Coverage by start.io, Quadrant Global Raw Location Data - 500+ Million Unique Devices Per Country by Quadrant, and Kochava Collective - Global Location Data by Kochava Collective.

How can I get Raw Location Data?

You can get Raw Location Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Raw Location Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Raw Location Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Raw Location Data?

Raw Location Data is similar to Mobile Location Data, GPS Location Data, SDK Location Data, Real-Time Location Data, and Historical Location Data. These data categories are commonly used for Location-based Marketing and Raw Location Data analytics.

What are the most common use cases for Raw Location Data?

The top use cases for Raw Location Data are Location-based Marketing, Location-based Advertising, and Location Intelligence.