White space analysis

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White space analysis for Nordic retail expansion

Find where a new store would reach shoppers you do not serve today, with weekly footfall, travel-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 tells you where a new store would reach shoppers your brand does not serve today. Huq gives Nordic retail teams weekly footfall, catchment and brand location data for any address in its Nordic markets. Use Huq's White Space Analysis tool with the Explore map to compare capital-city districts, regional towns and out-of-town shopping centres, with travel-time catchments that reflect real distances.

How white space analysis works in Huq

Huq platform overview video: a visitor heat map

The video shows Huq in general, not a white space demo. Pay attention to the travel-time layer on the Explore map. In the Nordics, a travel-time catchment says more than a simple radius. Combine it with brand locations, industries and weekly footfall to judge each gap.

  • Draw travel-time catchments around any regional town or shopping centre.
  • Turn on brand locations to see where you and your competitors already trade.
  • Compare weekly footfall trends to see which areas are growing.

Trusted by 300+ organisations · Data across 35 markets

White space analysis and white space mapping explained

White space analysis finds areas with demand for your type of store where your brand has no presence. White space mapping is the visual side: the gaps shown on a map next to your stores and your competitors.

In the Nordics, distance changes the answer. Many shoppers live in and around a few large cities, and regional towns can be far apart. A 10 km radius means something very different in a capital than in a regional town, so white space work here should use travel time, not just distance. Brands that do well at home often look next at a neighbouring Nordic country, where they have to learn the map from scratch.

Huq's White Space Analysis tool works with the Explore map layers for footfall, catchment, travel time, brand locations and industries. Huq has 800+ validated target areas across Europe.

What's in your Nordic white space analysis

01

Footfall for any area

Weekly footfall, trends and visiting vs passing traffic for city districts, towns and shopping centres.

02

Travel-time catchments

Catchments by postcode and by travel time, so remote and urban sites are judged fairly.

03

Brand locations by market

See where you, your competitors and complementary brands trade in each Nordic market you cover.

04

Retail centre types

Shopping centre and retail centre layers help compare city centre and out-of-town options.

What a Nordic white space map shows

Three views that help you decide where the next store goes, at home or across a border.

Gaps between your stores

01

Gaps between your stores

Brand location layers show where you and competitors trade. Towns and centres with strong footfall and no store of yours within reach stand out.

Travel time, not just distance

02

Travel time, not just distance

Travel-time catchments show how far shoppers really come to each area, which matters where towns are far apart.

Trends before you commit

03

Trends before you commit

Weekly footfall and period-on-period change show whether a candidate area is growing or flat, and how it moves through the seasons.

White space analysis across Huq's Nordic markets

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 Nordic 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.

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