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How Aviva Investors Used huq's High-Frequency Insights to Invest
How Aviva Investors used huq's high-frequency mobility indicators to understand fast-changing real-asset markets and manage investment risk.
The Challenge
During Covid-19, market behaviour changed far faster than conventional monthly indicators could capture. Aviva Investors needed frequent, granular evidence of activity across economic sectors, sub-markets and regions to make investment decisions and manage risk.
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Replace slow indicators
Move beyond monthly reporting with evidence capable of showing market shifts as they happened.
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Compare diverse markets
Measure activity consistently across sectors, cities, sub-markets and geographic regions.
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Manage investment risk
Translate changing movement and place use into evidence for real-asset investment decisions.
The Solution
huq provided a live behavioural intelligence layer that unified movement trends, catchment visibility, and district benchmarking into a single platform.
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Movement Intelligence
Live visibility into visitor activity and engagement patterns.
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District Benchmarking
Compare commercial performance across multiple urban environments.
Demand Forecasting
Turn mobility and location signals into timely estimates of customer demand.
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Data Validation & Research
Validate mobility evidence and apply it in robust academic, commercial or policy research.
Aviva Investors used huq's high-frequency mobility indicators to understand fast-changing real-asset markets and manage investment risk.
huq supplied mobility-derived Macro Indicators covering pedestrian footfall, store visits, workplace presence and activity across a wide range of economic settings. Daily publication with a 48-hour lag gave Aviva Investors a timely view of fast-moving change.
Case study highlights
- Verified indicators: The research team drew on more than 30 indices covering settings from hotels and airports to data centres and waste plants.
- Granular comparison: Outputs could be analysed by industry, sub-market and region.
- Global office insight: Office usage was compared across 16 major cities on three continents.
- Actionable research: huq evidence informed analysis and articles produced for Aviva Investors' investment partners.
The high-frequency dataset helped the team understand pandemic-era behaviour almost in real time and incorporate those changes into investment and risk-management decisions.
Results & Operational Impact
With huq first clients achieve significantly stronger visibility into commercial demand, engagement growth, and estate performance.
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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
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How JD Sports Used Customer Catchments to Inform Outlet Expansion Strategies
huq's mobility location data enabled JD Sports to refine customer catchment analysis, optimise store network performance and make data-driven expansion decisions, reducing risk and enhancing strategic growth.
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Empowering strategic teams with the world's most accurate and accessible location intelligence.
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