Retail site selection software

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Retail site selection software for Australia and NZ

Check any site in Australia or New Zealand, find gaps in your network and manage your shortlist in one platform, with weekly foot traffic data.

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

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Huq is retail site selection software for chains expanding across Australia and New Zealand. Check foot traffic and catchment at any address on the Explore map, find gaps in your store network with White Space Analysis, and manage candidates in Projects. Export comparisons to Excel, share monthly PDF reports, or send data feeds to your analysts. The same platform covers Huq's 35 markets if you trade beyond ANZ.

Inside Huq's retail site selection software

Huq platform overview video: a visitor heat map

The overview tours the whole platform rather than one workflow. If you are comparing retail site selection software, judge it on the Explore map layers, where White Space Analysis and Projects sit, and how a site is saved. That is the day-to-day interface your expansion team in Sydney or Auckland would use.

  • Explore map layers for travel time, catchment, shopping centres and brands
  • White Space Analysis to find markets where your brand is missing
  • Projects to track candidate sites and report to stakeholders

Trusted by 300+ organisations · Data across 35 markets

What is retail site selection software?

Retail site selection software gives property and expansion teams the data to choose new store locations without commissioning a report for every site. It typically combines foot traffic, catchment, competitor locations and shopping centre or retail centre context on a map.

In Australia and New Zealand, distances and formats make this harder. A rollout might cover metro shopping centres, CBD sites, strip retail and regional towns in the same year. Each format draws shoppers differently, and straight-line distances in km can mislead outside the cities. Software that measures foot traffic at any address lets the team compare all of them on one basis.

Huq serves both sides of the team. Expansion managers use the Explore map and Projects. Analysts use CSV or Excel exports, or Parquet and CSV data feeds into Amazon S3 or Google Cloud Storage. Huq has no API. Demographics are available in selected markets.

What's in Huq's retail site selection software

01

Explore map

Draw any area or use layers for travel time, catchment, shopping centres, brands and postcodes.

02

White Space Analysis

Look for areas where your brand has no store yet, before you assess individual sites.

03

Projects

Hold candidate sites in folders, track status and report progress to stakeholders.

04

Exports, reports and feeds

CSV or Excel exports, monthly PDF location reports and data feeds for analysts.

What Huq's retail site selection software shows

Three screens take you from a gap on the map to a decision.

White Space Analysis

01

White Space Analysis

Helps you spot areas across Australia or New Zealand where your brand has no store yet, as a starting point for expansion.

Candidate site on the Explore map

02

Candidate site on the Explore map

Check foot traffic, visiting versus passing traffic, catchment and nearby brands at a shopping centre, CBD or strip retail site.

Shortlist in Projects

03

Shortlist in Projects

Track every candidate's status in one folder and export the comparison to Excel for the property committee.

Retail site selection software for every ANZ address

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 retailers choose Huq for retail site selection software

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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