Add intelligence to your data lake

Geospatialdata store

Bring the human layer into your data stack using Huq’s geospatial products

Power your data lakes with Huq’s spatial data and location data solutions. Seamlessly integrate detailed insights into your business data repositories, enabling dynamic, near real-time analytics. 

Discover patterns, trends, and opportunities to drive smarter decision-making and fuel your data-driven strategies. Let Huq’s high-frequency, ready-to-use data transform your results.

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12Bn

12bn+ observations from 200+ apps, across 194 countries.

Understand who, where, and when of any location.

L12Hex

Footfall, demographics, spending power.

Global coverage, 1st party data, GDPR-compliant.

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Available in key formats to incorporate into ArcGIS, QGIS, Alteryx and other geospatial data platforms / GIS mapping software.

Huq Geospatial Data Products

Footfall

Analyse real-world foot traffic data to assess consumer behaviour across various locations. Understand how footfall patterns impact property value, investment strategies, and public space optimisation.

Footfall Index

Leverage the footfall index to make data-driven decisions about location performance over time. Identify trends in consumer movement to enhance operations, asset management, and community engagement.

Footfall by day of week

Understand foot traffic fluctuations across different days of the week. Use these insights to optimise property performance, improve customer engagement, and inform resource allocation strategies.

Footfall by day part

Capture detailed insights into foot traffic patterns throughout the day. This data supports optimal tenant placement, marketing strategies, and public service delivery by targeting peak traffic times.

Footfall demographics – age band

Analyse footfall data segmented by age groups to identify key demographic trends. Tailor offerings, property management strategies, or public services to meet the needs of specific age groups.

Footfall demographics – disposable income band

Footfall demographics - disposable income band: Select high-potential new store locations by understanding customer spending power with disposable income data. Develop pricing and promotion strategies to boost revenue.

Shopper catchment

Identify optimal new store locations and minimise cannibalisation risk with shopper catchment data. Tailor marketing efforts to attract local shoppers, increasing store loyalty.

Retail centre heatmap

Use retail centre heatmaps to identify prime locations for new and existing stores. Visualise high-traffic areas to optimise store placement and product displays, driving sales.

Footfall Dwell time

Increase customer engagement by selecting new store locations with high dwell time. Understand how long customers stay to improve layout, product placement, and in-store promotions.

Total spend rank

Prioritise high-spend locations for new stores with total spend rank data. Focus marketing efforts and inventory on top-performing sites to maximise sales and profitability.

Geo-spend (all metrics)

Make informed decisions on new store locations with comprehensive geo-spend data. Understand spending patterns across different areas to optimise store placement and marketing strategies.

Tourist spend

Boost revenue by selecting new store locations that attract high-spending tourists. Use tourist spend data to tailor marketing and product offerings for visiting customers.

Total spend by retail category

Optimise inventory and select new store locations with spending data by retail category. Understand customer preferences and allocate resources to high-demand products, increasing sales.

Total spend – accommodation

Attract travellers and boost revenue by selecting new store locations with high accommodation spend. Tailor marketing strategies and offerings to meet the needs of visiting customers.

Total spend – automotive

Drive sales by targeting new store locations with high automotive spending. Use spending data to attract automotive customers and increase revenue in this high-value sector.

Total spend – beauty and luxury

Enhance luxury segment strategies by selecting new store locations with high beauty and luxury spending. Tailor marketing and product offerings to attract high-spending customers.

Total spend – consumables

Optimise stock and select new store locations with consumables spending data. Ensure the right products are available to meet customer demand and increase sales.

Total spend – entertainment

Boost entertainment offerings and select new store locations with spending insights. Tailor your product range and marketing strategies to meet the needs of entertainment seekers.

Total spend – groceries

Improve grocery stocking and select new store locations with detailed spend data. Ensure the right products are available to meet customer demand and increase sales.

Total spend – nightlife

Enhance nightlife offerings and select new store locations with spending insights. Tailor your product range and promotions to attract nightlife customers and boost sales.

Total spend – services

Optimise service offerings and select new store locations with spending data. Attract and retain customers by meeting their service needs and increasing revenue.

Get help choosing the products for you

Talk to our experts today to discover the capabilities of our products and how they can solve your needs.

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Huq’s Footfall data is available globally. Mastercard Geo Insights data is available in select markets only.

Europe

Germany; France; Italy; Spain; UK; Andorra; Belgium; Austria; Bulgaria; Switzerland; Cyprus; Greece; Croatia; Luxembourg; Moldova; Montenegro; North Macedonia; Malta; Netherlands; Romania; Serbia; Ireland; Poland; Turkey, Denmark; Hungary, Slovenia; Czech Republic; Slovakia

Middle East

United Arab Emirates; Bahrain; Kuwait; Lebanon; Oman; Qatar; South Africa; Saudi Arabia; Algeria; Egypt; Israel; Morocco

Americas

Canada, USA, Mexico, Brazil, Honduras, El Salvador, Colombia, Argentina, Chile, Costa Rica, Guatemala, Panama, Peru, Paraguay, Uruguay

APAC

Australia; Singapore; Indonesia; India; Japan; Cambodia; Malaysia, South Korea; Thailand; Pakistan; Bangladesh, New Zealand

Trusted by leading partners

Queen Elizabeth Olympic Park Case Study

Transforming the QEOP: How London Legacy used Huq's location intelligence data to validate investment into Queen Elizabeth Olympic Park and shape future planning.

university of nottingham campus

Ripon BID Case Study

How population data is used by the public sector to measure footfall across consumer, business and industrial settings.

Huq_JD sports store front

How JD Sports Uses Catchment Area Data to Pick Retail Locations

JD Group (JD) uses Catchment Areas to better assess new store locations in international markets.