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Huq’s high-integrity first-party geo-location data provides a unique view of the relationships between consumers and places, and how that changes over time. Our daily JSON file-dumps to GCS or S3 allow analysts to incorporate Huq’s data directly into their prediction models and implement their own proprietary logic.
Start querying in minutes with Huq's data pre-loaded into a Google BigQuery instance.
Access event-level geo-data to train models using 73 attributes and 4+ years of history.
Discretionary analysts use our data to observe how consumers interact with traded or private physical assets in order to observe changes in consumer trends and consider how those may affect their investment positions.
Huq’s research-grade geo-location data records physical consumer and worker behaviour with unrivalled accuracy. Our unique methodology, built to deliver the highest possible measurement quality, makes Huq Events the richest and most abundant source of geo-data available.
Diverse and uncorrelated event attributes help to support normalisation and to find relationships within the data.
Publicly-traded trading brands are mapped to their listed parent organisation, which have been assigned to OpenFiGi and ISIN.
Our proven geo-data products are relied upon by investment funds with over USD100Bn in assets under management.
The lifetime of our panelists is 3 times longer than the average lifetime of a mobile app user thanks to our careful partner selection process.
Our data measures geo-spatial and physical interaction behaviour across 98 consumer and industrial categories.
Our geo-data can be delivered as frequently as meets your needs with a minimum daily cadence, 48 hours in arrears.
Our first-party geo-data is the only dataset designed specifically for researchers in finance, real-estate and consulting, not a by-product of something else. Apps and app publishers are selected for high audience stability and broad geo-demographic base.
Our unique enrichment methodology determines real-world interactions with confidence. We also clean and map the data to FIGI and ISIN identifiers to offer a vivid, usable history of point-in-time accurate physical-domain trends.
Our established, first-party dataset offers 4+ years of unbroken record history derived from a stable, qualified consumer panel. All data is collected in compliance with GDPR and local privacy regulations, and we can prove it.
Our high-density native mobile measurement SDK can generate up to thousands of events per device every day.
All of our data collection and processing infrastructure is designed to conform to local data privacy legislation.
Our powerful and proprietary enrichment methodology assigns consumer place visits to points of interest with total confidence.
Our geo-data products can be pre-loaded into private BigQuery project instances for lightning-fast querying and zero setup requirement.
All of our dataset attributes are standardised for ease of use and to help you quickly build the most reliable aggregations.
We offer over 4 years of dataset history across countries worldwide, with a key focus on North America and Europe.
Our experts will guide you through what is contained within the data, provide samples, support and get you started with Huq.