Location data

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Location data for Australian and New Zealand places

Weekly foot traffic, catchment and place data for shopping centres, CBD and strip retail. Use the platform or take Parquet and CSV feeds.

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

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Huq's location data shows how people use any place in Australia and New Zealand, from a CBD tenancy to a regional shopping centre or a strip of shops. You get foot traffic by week, month and year, residents and visitors, catchment by postcode, dwell time and visit frequency. Data teams take Parquet or CSV feeds into Amazon S3 or Google Cloud Storage. Commercial teams use the map and exports. Everything refreshes weekly.

See how Huq delivers location data

Huq platform overview video: a visitor heat map

Look at how a site is picked on the Explore map, then which foot traffic, catchment and visitor measures appear for it. Now picture the same fields for your whole ANZ site list, arriving in your cloud bucket every week. The platform is for checking a site; the feed is for scaling to many.

  • Picking a site or drawing an area on the Explore map.
  • Foot traffic trends, residents and visitors, and catchment for that place.
  • Exports that match the fields in the weekly data feed.

Trusted by 300+ organisations · Data across 35 markets

What is location data, and who buys it in ANZ?

Location data is information about where people go and how they use places. Most explainers stop at maps and coordinates. For a business, the useful part is the measure: how much foot traffic a site gets, when, and from which postcodes.

In Australia and New Zealand, buyers include retail chains planning stores across large distances, shopping centre owners and managers reporting to investors, councils looking after CBDs and strip retail, and funds checking assets. Many already hold census and property data. Location data from Huq adds what those sources cannot: how places actually perform week by week.

Huq publishes its accuracy as MAPE against landlord-reported footfall. Across published markets the median is 19.5%, against a 30% healthy threshold. Sample sizes are in Huq's downloadable validation report.

What's in your ANZ location data

01

Foot traffic over time

Weekly, monthly and yearly totals, average daily footfall, trends and visiting versus passing traffic.

02

Residents, visitors and catchment

Local residents versus people travelling in, with catchment by postcode and drive-time areas.

03

Places and centre types

Points of interest, brand locations, industries, and shopping centre and retail centre types.

04

Weekly data feeds

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

What ANZ location data shows

Three views your team will use most.

Foot traffic for a centre

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Foot traffic for a centre

Weekly foot traffic for a shopping centre or CBD block, with trend and period-on-period change.

Catchment by postcode

02

Catchment by postcode

Where visitors come from, by postcode and drive time in km. Useful where catchments stretch further than in denser markets.

Your network in Projects

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Your network in Projects

Track every site in one folder, report to stakeholders, and export the list as CSV or Excel.

Location data coverage across Australia and New Zealand

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 ANZ teams use Huq for location data

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.

More about Huq
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Up to 5 locations. No cost, no commitment.

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