The largest contextualized
mobile dataset available

Mobile Location data processed from a variety of high quality sources into a single accurate and
contextualized supply of mobile data.

High Quality Contextualized Mobile Location Data

UberMedia®’s mobile location data is aggregated from a variety of high quality sources, including first party data from UberMedia’s own apps, location SDKs, and mobile advertising SDKs.

UberMedia’s Mobile Intelligence Engine then filters, cleans, and integrates mobile data into a single high quality supply before being contextualizing with UberMedia’s precise location polygons, producing a dataset that is both accurate and actionable.

High Quality Sources

Data is sourced from a variety of high quality suppliers, including UberMedia’s own apps, location SDKs, and mobile advertising SDKs.

Location Polygons

Over 1 million hand-drawn precise location polygons that apply context to location data points.

Data Processing

Location data is aggregated and distilled from a variety of sources into a single contextualized dataset.

Contextualization

Enhanced mobile location data via UberMedia’s proprietary visit-determination technology.

Precise Location Polygons

Contextualization of data relies on accurately defining location boundaries. Knowing that a GPS coordinate falls within a Taco Bell makes powerful data easy to use, but what if the coordinate is actually next door in a Yoga Studio? A few yards of retail boundary inaccuracy can throw off billions of points in a dataset and cost millions of dollars from decisions based on bad data.

UberMedia’s team of GIS analysts hand-draws precise location polygons around retail locations. To date, this team has produced more than 1 million double-verified precise location polygons that underpin all of UberMedia’s contextualized data.

Contextualized Mobile Data

UberMedia’s mobile location data is high quality and contextualized with hand-drawn precise location polygons.

Data is sourced from a variety of high quality suppliers and processed through a series of filtering, cleaning, consolidation, and contextualization steps before it is added to UberMedia’s comprehensive database.

UberMedia’s contextualization takes raw GPS coordinates and makes them actionable by identifying visits within hand-drawn precise location polygons.

QUALITY ASSESSMENT
FRAUD DETECTION
DATA FILTERING
SECURE CONSOLIDATION
STRUCTURING AND COMPRESSION
AUTOMATED ANALYSIS

UberMedia’s data processing aggregates and distills mobile data from a variety of sources into a single contextualized supply of mobile location data.

UberMedia removes fraudulent location data sold by app developers to unsuspecting vendors.

Mobile location data is aggregated to achieve a high level of accuracy without sacrificing scale.

Data is tested rigorously for quality and anything that doesn’t meet strict standards is removed.

Mobile location data is contextualized with UberMedia’s proprietary visit determination technology.

Mobile Intelligence Engine

UberMedia’s Mobile Intelligence Engine is a patent-pending AI platform purpose built to aggregate and clean mobile data from a variety of different sources into a single contextualized dataset.

Developed around machine learning, the Mobile Intelligence Engine leverages UberMedia’s extensive historical data and precise location polygons to identify and extract only the best from mobile datasets.