Benelux footfall data

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Footfall data for Belgium, the Netherlands and Luxembourg

Weekly footfall for any Benelux address, from city centre shopping streets to shopping centres. Exports and data feeds.

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

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Huq supplies footfall data for any address in Belgium, the Netherlands and Luxembourg, refreshed weekly. Dutch teams often call it passantentellingen or bezoekersaantallen. You get visits by week, month and year, average daily footfall, visiting vs passing traffic, dwell time and visit frequency. Analysts download CSV or Excel files. Data teams receive Parquet and CSV feeds into Amazon S3 or Google Cloud Storage. Nothing is installed on site.

Where to find footfall data in the Huq platform

Huq platform overview video: a visitor heat map

The overview covers the whole platform. Data buyers should focus on the Explore map and the export options. On the map you set each area: a stretch of shopping street in Antwerp or Utrecht, a centre, or a shape you draw. Those saved areas decide what goes into CSV or Excel files, or into a weekly feed to your cloud bucket.

  • Select a shopping street, a shopping centre or any area you draw.
  • Check weekly footfall, visiting vs passing traffic and dwell time.
  • Export per area or combined, or arrange a data feed.

Trusted by 300+ organisations · Data across 35 markets

What is footfall data?

Footfall data counts the people who visit or pass a place over time. In the Netherlands and Belgium it often comes from passer-by counts on main shopping streets and from counters or sensors at store and centre entrances. These are accurate for the spot they cover.

A fixed counter can't tell you about a competitor's store, a different city centre or a unit you are thinking of leasing. Huq needs no hardware. It covers any address in Benelux, so every site is measured the same way. Municipalities use it to check whether city centre policies work, comparing footfall 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. Huq also has 800+ validated target areas across Europe. Buyers are usually data teams at retailers, property owners and investors who want weekly numbers in their own models.

What's in your Benelux footfall data

01

Footfall by week, month, year

Totals, average daily footfall, trends and period-on-period change for each area.

02

Visiting vs passing traffic

Tell apart people who enter a location and people who only pass it.

03

Dwell, frequency and dayparts

How long people stay, how often they return and which hours are busiest.

04

Exports and cloud feeds

CSV or Excel exports, or Parquet and CSV files into Amazon S3 or Google Cloud Storage.

What Benelux footfall data shows

Three views data teams check before they load numbers into their own tools.

Weekly footfall per area

01

Weekly footfall per area

Draw around a store, a street or a full shopping centre and see weekly footfall with year-on-year change.

Visiting vs passing heat map

02

Visiting vs passing heat map

See where people stop and where they pass through in a city centre.

Exports and data feeds

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Exports and data feeds

Choose areas and metrics, then download files or receive them in your cloud bucket each week.

Footfall data coverage across Benelux

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 buy footfall data from Huq

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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