Retail

Challenger Coffee Brand Site Selection Case Study

A UK challenger coffee brand used huq's footfall data to identify high-potential sites, avoid oversaturated markets and outperform larger rivals.

Challenger Coffee Brand Site Selection Case Study
Real-time
customer flow data delivered for existing and potential locations
Competitor
benchmarking used to spot and exploit gaps in the market
Demographic
insights into age, income and spending patterns delivered per site
UK-wide
site selection coverage across existing and potential locations
Challenge

The Challenge

As a fast-growing challenger brand, the coffee chain needed to identify areas of untapped potential while avoiding markets already oversaturated by larger, established rivals. Traditional site selection methods relying on assumptions and generic demographic data were no longer sufficient. The team also lacked the competitor benchmarking needed to stand out, and needed to understand why some existing locations were underperforming in order to take targeted action.

Untapped potential vs. oversaturated markets

The brand needed to identify areas with untapped potential while avoiding markets already oversaturated by larger competitors.

Limited competitive benchmarking

The team lacked insight into customer behaviour and performance benchmarks needed to stand out from larger rivals.

Underperforming locations

Some existing locations lagged behind, and the brand needed to understand why in order to take targeted action.

Independent coffee shop on a busy UK high street
solution

The Solution

huq provided a live behavioural intelligence layer that unified movement trends, catchment visibility, and district benchmarking into a single platform.

Catchment Analysis

Postcode-level insight into visitor origins and regional movement.

District Benchmarking

Compare commercial performance across multiple urban environments.

Store portfolio optimisation

Store Portfolio Optimisation

Benchmark location performance to guide investment, refurbishment, relocation and expansion decisions.

Demand forecasting

Demand Forecasting

Turn mobility and location signals into timely estimates of customer demand.

CASE STUDY OVERVIEW

How a Challenger Coffee Brand Used huq to Outperform the Competition with Site Selection

As a challenger brand in the highly competitive coffee market, a UK-based coffee chain needed to carve out its niche and outperform established competitors.

Client Overview

As a fast-growing challenger coffee brand, this UK-based chain was on a mission to expand its footprint while competing with well-established rivals. The company needed a smarter way to assess store performance, identify high-potential locations, and ensure that every new opening aligned with customer demand. Traditional site selection methods—relying on assumptions and generic demographic data—were no longer sufficient in a rapidly evolving retail landscape.

huq's location intelligence platform provided the brand with unmatched visibility into consumer behaviour, enabling them to make confident, data-backed decisions to accelerate growth and beat the competition.

The Challenge

"To achieve their growth ambitions, the brand needed precise, real-time data to identify opportunities, optimise their network, and stay ahead of the competition."

  • Identifying areas with untapped potential while avoiding oversaturated markets dominated by larger brands.
  • Gaining insights into customer behaviour and performance benchmarks to stand out.
  • Understanding why some locations lagged behind and taking targeted actions to improve profitability.

huq's Solution

"huq's data has given us the competitive edge we needed to make smarter, faster decisions. With real-time insights into footfall, demographics, and competitor benchmarks, we've been able to optimise our store network, reduce expansion risks, and outperform larger rivals in key locations."

huq's Lighthouse platform provided the challenger coffee brand with the data intelligence needed to punch above its weight.

To achieve their growth ambitions, the brand needed precise, real-time data to identify opportunities, optimise their network, and stay ahead of the competition.

  • Real-time data showing customer flows around existing and potential locations.
  • Measuring performance against competitors, enabling the brand to spot and exploit gaps in the market.
  • Deep insights into age, income, and spending patterns to ensure stores resonated with target customers.

How huq's Solution Helped

huq's data empowered the coffee brand to disrupt the market and claim their share of success. Key outcomes included:

  • By targeting areas with high potential and less competition, the brand secured sites that maximised footfall and revenue.
  • Actionable insights allowed the brand to make quick, impactful changes to struggling locations, turning them into revenue drivers.
  • Campaigns tailored to local demographics outperformed competitors and attracted new customers.

Final comments

This challenger coffee brand needed to break through in a highly competitive market, ensuring that every store location was positioned for success. With huq's advanced footfall, demographic, and competitor benchmarking data, they gained the insights needed to strategically expand, optimise existing stores, and outperform larger rivals. By making data-backed decisions, the brand reduced expansion risk, improved store performance, and refined their competitive strategy with precision.

If your business is looking to gain a competitive edge and make smarter location-based decisions, huq's location intelligence solutions provide the clarity and confidence needed to succeed in a fast-moving market.

"huq's insights have given us the intelligence needed to confidently assess locations, outmanoeuvre competitors, and maximise the potential of our stores."

Senior Expansion Manager

results

Results & Operational Impact

With huq first clients achieve significantly stronger visibility into commercial demand,  engagement growth, and estate performance.

Map with dotted continents and flags marking locations in 20 countries including US, UK, Italy, Mexico, Belgium, Japan.

Faster leasing evaluations

Improved understanding of real-world commercial demand

Stronger investment confidence

Behavioural intelligence supported more evidence-led decisions

Improved district visibility

Teams benchmarked engagement across multiple locations

Better recovery tracking

Live movement signals replaced delayed reporting cycles

Contact Us