White space analysis

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White space analysis for retailers in Australia and New Zealand

Find where your brand is missing across shopping centres, CBDs and strip retail, with weekly foot traffic, drive-time catchments and brand location data.

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

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White space analysis shows where your brand is missing in Australia and New Zealand, and where a new store could reach new shoppers. Huq gives retail teams weekly foot traffic, catchment and brand location data for any address. Use Huq's White Space Analysis tool with the Explore map to compare shopping centres, CBD and strip retail, with drive-time catchments that suit car-based trips.

Running a white space analysis in Huq

Huq platform overview video: a visitor heat map

The video is a general overview of Huq, not a white space demo. Watch for the drive-time layer, since most ANZ shopping trips are by car. Then see how brand locations and industries sit on the same Explore map. Read with weekly foot traffic, these layers help you test a gap in an ANZ network.

  • Draw drive-time catchments around a shopping centre or strip retail site.
  • Turn on brand locations to see where you and your competitors already trade.
  • Compare heat maps of visiting and passing traffic in CBD streets.

Trusted by 300+ organisations · Data across 35 markets

What is white space analysis for ANZ retailers?

White space analysis finds locations with demand for your stores where your brand does not trade yet. White space mapping shows those gaps on a map, next to your stores and your competitors.

In Australia and New Zealand, shopping centres, CBDs and strip retail each draw shoppers in different ways. Many trips are by car, so drive time often matters more than a simple radius. Growth areas on the edge of the big cities can open up new gaps. And for New Zealand brands moving into Australia, or Australian brands entering New Zealand, the first question is where their kind of customer already shops.

Huq's White Space Analysis tool works with the Explore map layers for foot traffic, catchment, drive time, brand locations and industries. Huq publishes its accuracy by country, with a 19.5% MAPE across published markets, against a 30% healthy threshold.

What's in your ANZ white space analysis

01

Foot traffic for any area

Weekly footfall, trends and visiting vs passing traffic for any shopping centre, CBD street or strip.

02

Drive-time catchments

Drive-time catchments built around car-based shopping trips, not a simple radius.

03

Brand locations across ANZ

See where you, your competitors and complementary brands trade in Australia and New Zealand.

04

Shopping centre and retail layers

Shopping centre and retail centre layers help compare centre, CBD and strip retail options.

What an ANZ white space map shows

Three views that help you decide where the next store goes.

Gaps across the network

01

Gaps across the network

Brand location layers show where you and competitors trade. Centres and strips with strong foot traffic and no store of yours within a short drive stand out.

Drive time around each candidate

02

Drive time around each candidate

Drive-time catchments show how far a candidate site reaches, and how much that area overlaps with your existing stores.

Trends before you sign

03

Trends before you sign

Weekly foot traffic and period-on-period change show whether a growth area is still building or has levelled off.

White space analysis 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 retailers use Huq for white space analysis

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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