Location analytics software
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Measure, compare and report on footfall at any address in Belgium, the Netherlands and Luxembourg. Weekly data with exports and data feeds.

Up to 5 locations. No cost, no commitment.
Huq is location analytics software for teams that compare sites across Belgium, the Netherlands and Luxembourg. Add one address or a full branch list. See footfall trends, visiting vs passing traffic, catchment and dwell time. Rank sites against regional and national benchmarks. Export the numbers or send a monthly PDF report. Accuracy is published by country: 15.7% MAPE in the Netherlands and 17.0% in Belgium.

Focus on the workflow, not the visuals. How does an analyst measure one site? How are many sites compared? How do results leave the platform? Look for those three steps in the overview. For Benelux teams with branches in many cities, they decide whether location analytics software saves time.
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Location analytics, also called location-based analytics, is the analysis of data linked to physical places. It measures and compares what happens at a site over time. Location intelligence is the broader practice of choosing where to act. Location analytics is the measuring and comparing part.
The term covers very different tools. Some count visitors inside one store. Some report where website users are. Some are GIS add-ons for spatial models. Huq analyses observed footfall and visitor behaviour at any address, from a single unit to a national branch network, without hardware on site.
Common Benelux uses: compare a branch in Amsterdam with one in Eindhoven. Check how a shopping centre in Liège performs on Saturdays against weekdays. Measure the effect of a new competitor on a shopping street. Data refreshes weekly, so trends are easy to follow.
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Totals, average daily footfall, trends, period-on-period change, and visiting vs passing traffic.
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Compare sites with each other and with regional and national benchmarks.
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Dayparts, weekday patterns, dwell time, visit frequency and cross-visitation.
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CSV or Excel exports per area or combined, PDF reports, and Parquet or CSV data feeds.
Three steps, shown for a group of branches.

01
Weekly footfall for a single address, with the trend and change on last period. See at once if a fall is local or seen across the region.

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Put all branches in a Project. Sort them by footfall or change, track status and pick the sites that need attention.

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Share a monthly PDF report with KPIs, dayparts and catchment. Or export CSV and Excel files for your own models.
Step 1
Add up to five addresses in the form. Your own stores, candidate sites or competitors.
Step 2
Our team maps each location from observed visitor data.
Step 3
A short call to take you through what the data shows and what it means for you.
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Huq is a location intelligence company. We turn anonymised mobile location data into footfall, catchment and visitor insight for any place, so retailers, property owners and local authorities can make decisions on evidence.
Up to 5 locations. No cost, no commitment.