Benelux footfall analytics

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Footfall analytics for Benelux stores and city centres

Benchmark stores, shopping streets and shopping centres in Belgium, the Netherlands and Luxembourg. Dashboards and monthly reports.

The Huq platform: catchment zones around a location on a map, with store trend and performance cards

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Huq's footfall analytics shows how any store, shopping street or shopping centre in Belgium, the Netherlands or Luxembourg is performing. Compare a site with nearby competitors and with regional and national trends. See peak hours, dwell time and how often people come back. Share a monthly PDF report with managers or tenants. Because there are no counters to install, you can analyse any site, owned or not.

What to look for: footfall analytics in Huq

Huq platform overview video: a visitor heat map

The overview is a general tour. For a footfall report, keep in mind what the monthly PDF location report holds: KPIs, benchmarks, weekday patterns and dwell. Then look at the Explore map. You can draw a city centre in Belgium and one in the Netherlands and compare them on one measure, which fixed counters can't do.

  • Weekly trends with period-on-period change and benchmarks.
  • Dayparts, weekday patterns and dwell per location.
  • Projects that bring all your sites into one report.

Trusted by 300+ organisations · Data across 35 markets

What is footfall analytics?

Footfall analytics explains changes in visitor numbers. A footfall report then puts that on one page for managers, tenants or the municipality: trends, benchmarks, busy hours and how a site compares with others nearby.

Many Dutch and Belgian city centres run passer-by counts at fixed points, and many towns rely on them. They work well where they are installed. But they rarely let you compare a Dutch city centre with a Belgian one, or a store with its rival across the street. Huq covers any address, so every site is measured the same way. Municipalities can also test whether a city centre programme worked, comparing footfall and dwell before and after with similar towns.

Huq publishes its accuracy by country, as MAPE against landlord-reported footfall: 15.7% in the Netherlands and 17.0% in Belgium. It also has 800+ validated target areas across Europe, and its data refreshes weekly.

What's in your footfall analysis

01

Benchmarks for every site

Each location's trend against regional and national footfall, so you see if the market moved.

02

City and cross-border comparison

Compare city centres and shopping streets in Belgium, the Netherlands and Luxembourg on one measure.

03

Peak hours and dwell

Busiest hours and weekdays, time spent at the location and visit frequency.

04

Monthly PDF footfall report

KPIs, benchmarks, weekday patterns, density map, catchment, dayparts and dwell in one file.

What footfall analytics shows in Benelux

Three views that help explain performance to managers, tenants and investors.

Location vs benchmark

01

Location vs benchmark

A location's weekly footfall against regional and national trends, with period-on-period change marked.

Hours and weekdays

02

Hours and weekdays

See the busiest hours and days, and check opening hours and staff plans against them.

Portfolio in Projects

03

Portfolio in Projects

Group stores or centres across Benelux, track status for each one and share one report.

Coverage in Belgium, the Netherlands and Luxembourg

How it works

Step 1

Tell us your locations

Add up to five addresses in the form. Your own stores, candidate sites or competitors.

Step 2

We run the analysis

Our team maps each location from observed visitor data.

Step 3

We walk you through it

A short call to take you through what the data shows and what it means for you.

Why Benelux teams use Huq for footfall analytics

Who it's for

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Frequently asked questions

Questions? Talk to us

Book a demo

About Huq

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.

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