Huq’s granular location data provides insights into time-of-day footfall averages, demographics and consumer behaviour for time spent in certain locations. This data helps you identify high-performing assets, emerging market opportunities and potential risks, enabling you to make data-driven investment decisions that maximise return and reduces uncertainty.

Demographic and catchment area data reveal the characteristics of the population visiting your assets, such as age, income level and purchasing habits. Understanding who your visitors are helps you tailor your tenant mix, marketing strategies and asset development plans to better serve the needs of your target audience, ultimately driving higher performance across your portfolio.

Benchmarking with Huq’s data allows you to compare the performance of different assets within your portfolio and against market averages. By analysing metrics like footfall, demographic engagement and catchment reach, you can identify underperforming assets, optimise resource allocation and strengthen your overall portfolio performance.

Huq’s granular location data provides insights into time-of-day footfall averages, demographics and consumer behaviour for time spent in certain locations. This data helps you identify high-performing assets, emerging market opportunities and potential risks, enabling you to make data-driven investment decisions that maximise return and reduces uncertainty.

Demographic and catchment area data reveal the characteristics of the population visiting your assets, such as age, income level and purchasing habits. Understanding who your visitors are helps you tailor your tenant mix, marketing strategies and asset development plans to better serve the needs of your target audience, ultimately driving higher performance across your portfolio.

Benchmarking with Huq’s data allows you to compare the performance of different assets within your portfolio and against market averages. By analysing metrics like footfall, demographic engagement and catchment reach, you can identify underperforming assets, optimise resource allocation and strengthen your overall portfolio performance.

Demographic data provides insights into the characteristics of people visiting areas and sites, such as age, gender and purchasing power. Using demographic data can help you identify the right target brands to ensure your sites cater to your customers with the right tenant mix. For example, if a location attracts professionals you could include fitness centres or trendy restaurants or bars, enhancing overall property appeal and profitability.

Location insights such as footfall, demographic profiles and visitor behaviour to strengthen your lease negotiations. Huq insights provide a clear picture of property potential, justifying rental rates, lease terms and tenant improvements. Peak visiting times and visitor demographics can also help tenants plan their operations and marketing strategies more effectively.

Benchmarking performance of different sites or locations helps portfolio managers to understand how their sites perform relative to locations in terms of footfall, visitor demographics and engagement. This helps identify strengths and areas for improvement, guiding investments and management strategies to enhance overall property performance and competitiveness in the market.

Huq’s data provides real-time insights into footfall patterns, helping property managers understand when and why fluctuations occur. By analysing this data, portfolio and investment managers can identify trends such as seasonal variations or the impact of local events.

Demographic data provides insights into the characteristics of the population in a given area, including age, gender and spending power. For public sector bodies, this data is invaluable for planning community services and initiatives. It ensures that policies and programmes can be tailored to the specific needs and preferences of the local community, driving effective change.

Location insights encompasses data on foot traffic, spending patterns and demographic information for a certain geographical location. These insights help town planners understand how different areas are used and identify opportunities for improvement or development. They can guide decisions on where to build new infrastructure, enhance public spaces, or support local businesses, ultimately fostering more vibrant and functional communities.

Yes, Huq’s data is both secure and compliant with GDPR and other relevant data protection regulations. The data is anonymised and aggregated to ensure privacy and security, making it safe for use in public sector projects. This compliance guarantees that while valuable insights are provided, the privacy of individuals is fully protected.

Huq’s footfall data can identify trends and patterns in high street activity over time, such as peak visiting times and areas with declining foot traffic. This information helps public sector bodies understand the factors contributing to decreased activity and develop strategies to attract more visitors. Initiatives could include improving amenities, promoting local businesses, or organising community events to revitalise these areas.

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, weekly, and yearly data with Huq location intelligence 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.

With Huq’s location intelligence data, you can view over 5 years of historical data. This extensive data history allows you to track long-term trends, compare performance across different time periods, and gain valuable insights into how customer behaviour has evolved over time.

For further details, visit the Huq Foot Traffic Data Page.