Understand where retail performs best
huq helps retail and hospitality teams understand how people move, spend, and engage across locations turning real-world activity into confident expansion and performance decisions.

Trusted by 300+ Retailers, Asset Owners, Councils & Investors
























A lease is a ten year bet. Most are placed on partial data & opinion.
Property and expansion teams still choose sites, set rents and judge stores on annualised averages, one off studies and gut feel, while the best pitches go to whoever moves first. The result is expensive guesswork on openings, closures and renewals.
Win the best sites first
Defend every decision to the IC
Know if it's the store or the street
Find the best sites before your rivals
Expansion planning, catchment analysis, and store performance often rely on disconnected reports, static datasets, and delayed analysis. huq gives retail teams a clearer understanding of how locations actually perform in the real world in a single platform, updated daily.
Retail Expansion
Portfolio Optimisation
Competitor White Space Modelling
Built for every retail category
Whether you're operating a fashion brand, restaurant chain, electronics retailer, or home improvement network, huq helps teams understand customer behaviour, benchmark performance, and identify growth opportunities through real world movement intelligence.
Ready to Make More Confident Location Decisions?
Book a personalised demo with our location intelligence experts and see how huq can help you unlock new opportunities.

Answer the questions every property team asks.
How busy is this pitch ... really?
Validated daily and historical footfall for any site or catchment, so you can size the opportunity and stress test a pitch before you commit.
Know which sites fit before you send a scout
Postcode level catchment, primary and secondary zones and drive time influence. The true trade area, not a radius drawn on a map.
Are these actually my customers?
Profile real visitors by age, income and lifestyle, and match a pitch to your target shopper before you sign, not after you open.
How does this pitch stack up?
Benchmark any site against competitors and your own estate on one consistent spine. Footfall share, frequency, dwell time and catchment overlap.
See how shoppers move through real world environments.
Track movement patterns, catchment influence, and retail activity across shopping districts, town centres, and commercial areas.
.avif)
The Diagnosis
Independent footfall data helps you separate location problems from operational ones. Avoid investing in fixes when the demand simply isn't there or walking away from stores that still have strong market potential.
The Mechanism
By comparing visitation with store performance, you can understand your true capture rate and identify whether changes are needed inside the store or around it.
See where retail demand is happening in real time.
Visualise visitor density, peak trading periods, and activity hotspots to identify high performing retail locations.
Visitor Density Mapping
Visualise where customers spend time and which areas attract the highest levels of activity.
Peak Trading Analysis
Identify busy hours, seasonal trends, and changing visitation patterns across locations.
Location Performance Comparison
Compare footfall activity between stores, catchments, and competing retail destinations.
.avif)
Connect footfall with real consumer spending.
Combine footfall and spend data to understand customer demand, category performance, and commercial opportunity.
Category Spend Analysis
Identify which retail categories generate the highest levels of consumer spending.
Transaction Trends
Track spending patterns over time and uncover emerging growth opportunities.
Revenue Potential Assessment
Evaluate the commercial strength of locations before expansion or investment.
.avif)
Trusted by teams shaping modern retail strategy.
92%
of retail strategy teams say movement intelligence improves confidence in expansion and location planning decisions.
.avif)
"huq's data has been a game-changer for us. The insights into footfall and visitor behaviour have given us the clarity we needed to optimise our retail strategy and make informed decisions."

Tom Haydney
UK Marketing & Product Manager
Kawai
huq’s mobility data helps us to make better investment decisions and allows us to appropriately manage risk on behalf of our investor clients.
%201.avif)
Jonathan Bayfield
Head of UK Real Estate Research
Aviva Investors
huq’s platform gave us valuable data to support a key decision on potential new sites.

Dan Brogden
National Sales Manager
Puccinos
Questions retail teams ask before making decisions.
Get clarity on how huq supports expansion planning, catchment analysis, and retail performance understanding.
Can't find the answer ?
Q2. Can huq measure footfall and movement?
Understand retail locations with greater confidence.
Discover how huq helps retail teams turn movement and behavioural insight into smarter commercial decisions.





