High-Frequency Alternative Data

Measure anything, anywhere.

A global, on-demand research platform.

Data sources

Our core data asset is comprised of 0.5Bn daily real-asset interaction events measured directly via our specialised first-party SDK through vendors that are selected for accurate geographic and demographic appeal. Suitability is also derived from the quality of their mobile location use-case, offering high-density data and low panel churn. Our partnerships with 100x vendors and thousands of tiles provides built-in panel redundancy.

Data enrichment

Our mobile location dataset is not just points on a map - the applications of which are limited. Our highly-engineered data enrichment pipelines join panel with objects and places that can be semantically labelled with high accuracy. The resulting output incorporates 73 diverse and uncorrelated properties drawn from geo-spatial, environmental, network and hardware features that are mapped to 500+ financial securities.

Data coverage

Our global coverage permits a broad latitude of demand for insight across developed and developing economies, helping provide valuable information where data is scarce. Inline with both economic priorities and natural population, we excel in European and US markets. From consumer discretionary and staple domains to measuring industrial performance our data proven to provide value.

Dataset KPIs

Many applications of our data asset imply time-series analyses and transformations. With panel retention consistently at 300% above the mobile industry mean, our longitudinal stability is an imperative that we are proud to offer. Data density also offers greater observational opportunity and firmer support for analytical outputs. With 250+ points per panellist per day, Huq leads the market in this regard

What is mobile geo-location data?

Mobile location data, geo-data or geo-location data as it is sometimes known, is positioning data sourced from a mobile device. In its most basic form this location data is provided with a timestamp and a device identifier. Huq’s location data goes far beyond that to bring you the world’s most reliable mobile location data asset for research.

Data accuracy

Mobile location data accuracy varies enormously according to type (OS, cellular or IP), and even within those depending on myriad factors. Our first-party dataset allows full oversight of our asset, and to apply the right data in the relevant cases.

Data enrichment

While points in space may support broad analyses like centre footfall or pedestrian flows, many commercial uses require the data to be linked to a point of interest. Our unique method reliably incorporates POI data and 73 other attributes.

Data privacy

Many mobile location data assets are drawn from 3rd or even 4th-party original sources, meaning that along the way, information gets lost. End-user consent may also become harder to demonstrate which is why all of our data is 1st party.

Data sources

The most accurate grade of mobile location data is derived from the mobile OS via (A-)GPS using a first-party specialised SDK such as Huq’s. Location data sourced via cellular networks (triangulated or otherwise), or via IP is not comparable.

Data representation

Mobile location data vendors looking to support fine-grained and nuanced research and analysis use-cases need to work to develop app vendor relationships that deliver a broad-based geo-demographic mobile location data panel, with low panel churn; consistency is king.

Data applications

For many location data vendors, advertising is core to their business. This prioritises higher volumes of low or variable quality mobile location data over thoroughly and diligently sourced and enriched, making it less suited to research. Our focus throughout is data quality.

Data frequency

We offer fast, opportunistic access to large volumes of enriched mobile location data via our location-centred products, making our platform best suited to the urgent needs of our customers in contrast to those who are optimised for ad-hoc, wholesale exports.

Data density

The number of daily observations per panel device is an important KPI for mobile geo location datasets. Simply, the greater the data points the more definition that exists within the data, and the more opportunities analysts have to find and learn about their target behaviours.