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

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.

There are many use cases for conducting location analysis:

• Understand visitor profiles to ensure the right tenant mix for target customers.
• Benchmark performance of your assets against location to ensure maximum revenue.
• Optimise your site selection strategy to find location hotspots with the right footfall for your portfolio.
• Optimise your estate to ensure your assets are in the right locations as consumer behaviour shifts over time.
• 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.

You can view daily, monthly 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.

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.

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

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.

There are many use cases for conducting location analysis:

• Understand visitor profiles to ensure the right tenant mix for target customers.
• Benchmark performance of your assets against location to ensure maximum revenue.
• Optimise your site selection strategy to find location hotspots with the right footfall for your portfolio.
• Optimise your estate to ensure your assets are in the right locations as consumer behaviour shifts over time.
• 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.

You can view daily, monthly 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.

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.

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

There are many use cases for conducting location analysis:

• Understand visitor profiles to ensure the right tenant mix for target customers.
• Benchmark performance of your assets against location to ensure maximum revenue.
• Optimise your site selection strategy to find location hotspots with the right footfall for your portfolio.
• Optimise your estate to ensure your assets are in the right locations as consumer behaviour shifts over time.
• 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.

You can view daily, monthly 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.

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.

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

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.

There are many use cases for conducting location analysis:

• Understand visitor profiles to ensure the right tenant mix for target customers.
• Benchmark performance of your assets against location to ensure maximum revenue.
• Optimise your site selection strategy to find location hotspots with the right footfall for your portfolio.
• Optimise your estate to ensure your assets are in the right locations as consumer behaviour shifts over time.
• 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.

You can view daily, monthly 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.

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.

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

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.

There are many use cases for conducting location analysis:

• Understand visitor profiles to ensure the right tenant mix for target customers.
• Benchmark performance of your assets against location to ensure maximum revenue.
• Optimise your site selection strategy to find location hotspots with the right footfall for your portfolio.
• Optimise your estate to ensure your assets are in the right locations as consumer behaviour shifts over time.
• 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.

You can view daily, monthly 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.

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.

Location intelligence is a powerful tool for retailers. By integrating geographic data with business analytics, retailers can make informed decisions about store locations, customer demographics and market trends. Here’s how you can effectively use location intelligence in retail planning:

• Competitor Benchmarking: review the distribution of competing chains and find gaps in the market to open new stores.
• Customer Segmentation and Targeting: Understanding visitor profiles for targeted marketing strategy.
• Market Penetration and Expansion Strategies: identify potential markets for expansion in underserved areas where there is potential for high demand.
• Identify Optimal Store Locations for Site Selection: analyse foot traffic patterns to ensure new stores are located in areas with the most customer exposure.

Location intelligence can significantly improve public services by enabling government agencies, municipalities, and public organisations to make data-driven decisions that enhance efficiency, optimise resource allocation, and improve citizen well-being. Here’s how to use location intelligence for public services across various sectors:

• Gain true visibility of your town centres and high streets
• Enhance public spaces
• Improve accessibility
• Enhance Visitor Experience
• Project Validation

When considering which location intelligence software to opt for for your organisation, consider key factors like security and data sourcing, analytics capabilities, user interface and reporting options. Huq’s location intelligence is available in three formats: Reports, Dashboard or through 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.

The difference between Geographic Information Systems (GIS) and location intelligence lies in their scope and application. GIS is a technical system for collecting, analysing and visualising geographic data, often used by professionals working within environmental studies. Location intelligence, focuses on turning geospatial data into actionable insights by integrating it with business or demographic data, to improve decision-making in marketing, operations and real estate. While GIS is more specialised, location intelligence is broader, applying geospatial analysis to business contexts for strategic insights.

In the dynamic world of portfolio management, having a deep understanding of the nuances and performance of your assets across your portfolio is crucial. Huq’s location offers detailed asset-level location intelligence, providing you with actionable insights to guide space utilisation/ tenant mix/ marketing strategies.

Geolocation Intelligence focuses on real-time, precise tracking of the exact location of an object or person using GPS or mobile devices. It provides granular, moment-specific data like coordinates.

Location analytics is much broader and integrates geolocation data with other sources, such as demographic, business or environmental information, to derive strategic insights. While geolocation intelligence is used for real-time applications like fleet tracking and navigation, location intelligence data supports decision-making in areas like retail site selection, market analysis and urban planning. Essentially, geolocation intelligence is a subset of location analytics. Location intelligence offers a much more comprehensive location spatial analysis.

Location analytics software covers:

• Primary focus: Business and consumer data-driven decisions
• Data Sources: Mobile devices, transactions and IoT
• Use Case: Retail planning, investment strategy, portfolio optimisation, asset management and consumer behaviour
• Technology: Business intelligence tools and data visualisation platforms
• Applications: Site selection, urban planning and marketing

Stay ahead of market trends and make proactive investment decisions by tracking consumer engagement in target trading locations. Guide informed investment decisions are key to maximising asset returns. Huq’s location insights can provide the precision you need to manage your portfolio with confidence.

Location intelligence is widely used in real estate to improve decision-making, optimise asset performance and investment strategies and track market trends. Here are key use cases:

• Property Valuation and Investment Analysis: find locations hotspots with high footfall for acquisitions.
• Market Analysis: optimise your existing portfolio and ensure your assets are still in high footfall, high use areas.
• Risk Management: identify any assets that are underperforming against location for relocation or divestment.