Explore the changing patterns of consumer footfall behaviour with retail insights

Retail Analytics & Insights Solution

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Retail analytics trusted by 300+ industry leaders

Retail Analytics Solutions & Consultancy

A snapshot into any location

Having a finger on the pulse of the consumer is critical. Knowing where consumers are going and how they are spending can give you the retail data insights you need to make effective decisions ahead of the market.

Huq’s retail analytics solutions offer:

  • Unmatched Data across the UK and international markets.
  • Speed-to-Insights to ensure your strategies are led by the latest data.
  • High-Value Reporting with pricing available for single assets through to national markets and global coverage.
Get Location Analysis
Use location intelligence data to identify your customers and understand consumer movement trends

Location Insights and Retail Analytics

in one platform

Our comprehensive reports offer 7 unique location insights to enable government, retail, real estate, and finance sectors to make better decisions.

Footfall

See average visitor foot traffic for new and existing locations.

Granular Catchment

Discover where your visitors are travelling from.

Consumer Purchasing Power

Understand consumer purchasing power across target locations to align your brand to the right visitor profiles.

Use Huq's location intelligence analytics reports to gain visibility of the locations you manage.

Spend Data

Compare the relative spend and footfall for any retail location.

Dwell Time

Find out how long visitors stay in a specific location.

Density

Discover footfall hotspots and prime pitches with density heat maps and see where your customers are and where you should be.

3400

Stores

38

Countries

$12.5Bn

Annual sales

Huq’s catchment insights allows JD to more accurately assess the impact of the wider retail catchment on the sales potential of new store opportunities

Alastair Browne, JD Group Head of Site Research & Strategic Insight

JD sports logo

Global Reach: Retail Analytics Data for 190 Countries

We partner with apps globally to ensure consistent coverage across the world. Whether you want to benchmark location performance in Manchester, Dubai, or Sydney, our data is collected, processed, and anonymised the same way, giving you a standardised global data set.

190

Countries

2,500+

UK Retail Centres

1.5Bn

Daily Data Points

FAQs

Retail analytics is the process of analysing retail data to identify trends and gain actionable insight. It involves reviewing sales, location and demographic data, to better understand consumer behaviour, improve operational efficiency and drive growth. Retail analytics enables businesses to make data-driven decisions.

There are many use cases for conducting retail analysis for your brand:

  • Optimise site selection to find location hotspots with the right footfall for your brand.
  • Optimise your estate to ensure your stores are in the right locations as consumer behaviour shifts over time.
  • Understand visitor profiles with demographic data to ensure you’re attracting your target customers.
  • Benchmarking performance against location to ensure maximum revenue.
  • Optimise opening hours and staffing rotas with time-of-day footfall splits to see when your customers are most active.

You can use retail insights to optimise your retail portfolio by identifying underperforming stores, understanding customer preferences and pinpointing high-potential markets. By analysing sales data, foot traffic and demographic insights, retailers can make informed decisions with confidence on where to open new sites and allocate resources or whether to shut down stores in low footfall areas. By combining demographic and catchment data, brands can also tailor marketing strategies to better meet local demand, attract high-value customers and maximise revenue.

Footfall data tracks the number of people entering and moving through specific locations, such as a retail store or shopping centre. This data helps retailers understand customer traffic patterns, identify peak shopping times and assess the effectiveness of marketing campaigns or store locations. Footfall data is crucial for optimising staffing, enhancing customer experiences and improving store performance.

Huq’s location insights is available in three formats: Reports, Dashboard and the Data Feed. The Reports are available monthly, quarterly or annually for specific locations. The Dashboard is ideal if you’re managing multiple sites and reviewing different areas as you can compare and analyse multiple locations. You can also connect the Data Feed directly into your platform or BI dashboards to create your own reports for near real-time insights into consumer foot traffic, store performance and competitive positioning. See where visitors are coming from, where they’re going and how long they spend in each location.

Understanding the footfall profile of potential locations is essential to ensure you’re securing the right sites for your new stores. With retail data analysis, you can identify the areas that have the right footfall for your business model to ensure the footfall matches your target customer profile.

Huq collects and processes data solely for research purposes. Within its data asset, individual identities remain anonymised, safeguarding against the inclusion of any personally identifiable information. The acquisition of data from first-party partners operates on an ‘opt-in’ basis, ensuring that each user explicitly consents to the capture and sharing of their location data through the apps they utilise for data collation.

You can view daily, monthly and yearly data with Huq retail analytics data. Our customisable time period options allow you to analyse trends over short and long durations, providing a comprehensive understanding of customer behaviour and helping you make informed decisions.

Huq footfall location insights are available through our Reports, Dashboard or Data Feed. Our reports are available monthly, quarterly or yearly so you can track improvements over time. The Dashboard is refreshed with footfall data every 4 days.

Why Huq Location Intelligence and Retail Analytics Is The Right Choice

Huq’s retail analytics data combines global coverage, privacy protection, reliability, and ethical data collection practices, making it the cost-effective choice for businesses seeking actionable insights into consumer behaviour and near real-time market trends.

Feature

1st Party Data

Huq is the only 1st party data provider globally.

Cost Effective

Comprehensive footfall reports at Low cost entry point.

Spend Data

Footfall enriched with Mastercard® geo-spend data.

Globally Consistent

One collection method for like for like comparison.

Accurate Counting

Measures the unique visitors without double counting.

GDPR Compliant

We comply with the highest standards in privacy.

Our Product

Third Party

Hardware

Why trust Huq for Retail Analytics?

Huq’s location insights enables you to derive the most accurate and actionable insights for your organisation. With our comprehensive data solutions, you can confidently pinpoint customer behaviours for better investment decisions.

Quality of Data

Huq is the only first-party that collects data directly from end users through our SDK technology, ensuring the highest quality and reliability in the industry.

Speed to Insights

Get retail data insights after just 4 days. You can be confident in receiving timely and actionable insights to make informed decisions quickly.

Availability of Data

Our varied data panel captures a wide range of data points, including consumer movement and spending patterns for deeper analysis and understanding.

Use Huq's location intelligence analytics reports to gain visibility of the locations you manage.

Maximise the Potential of your Portfolio

Assess the performance of your stores by benchmarking against location. Evaluate the footfall health of your retail sites to determine where to invest to ensure growth in thriving sites. Focus on areas with stability or growth to ensure long-term success.

Get Location Analysis