Clarity Across Every Market Signal
The Challenge: Finding Alpha in a Data-Saturated Market
Investment teams operate in one of the most information-dense and fast-moving environments ever. Markets react to shifting consumer behaviour, sector disruption, and macro uncertainty – often before conventional data sources reflect reality.
The challenges are familiar:
- Lagging indicators that obscure emerging sector trends
- Limited visibility into real-world activity around brands, assets, and locations
- Difficulty quantifying competitive dynamics across geographies
- Fragmented alternative datasets that don’t align spatially or temporally
- Reactive decision-making driven by quarterly reports, not live behavioural insight
Without accurate, timely, and comparable high-frequency data, even the strongest investment thesis can fall short.
The Solution: Kogenta Connect for Investment Insight.
Kogenta Connect gives investment firms, hedge funds, private equity teams, and research analysts a unified, high-fidelity alternative data foundation to understand real-world economic activity at scale.
Built on the Kogenta Grid — a consistent hexagonal spatial framework — it fuses mobility, visitation, expenditure, demographic, and contextual data into a privacy-safe dataset that reveals how people interact with brands, sectors, and locations.
Whether you’re monitoring portfolio companies, screening new opportunities, evaluating retail networks, or tracking emerging signals across sectors, Kogenta Connect provides the clarity to act with conviction.
Key Data Layers for Investment Insight.
Busyness Layer
A high-resolution, AI-driven view of human activity across market – hour by hour, day by day, hex by hex. A powerful near-real-time proxy for economic vitality around stores, logistics hubs, venues, and commercial districts.
Forecasted Busyness Layer
A predictive model that projects future activity and demand patterns using advanced AI. Ideal for identifying inflection points, understanding seasonality, and modelling performance scenarios.
Origin – Destination Flow Layer
Reveals how consumers move between brands, shopping areas, commuter hubs, and regions. Useful for analysing competitive draw, resilience of retail corridors, and behavioural shifts over time.
Places Layer
A mapped catalogue of commercial, civic, and transport locations – retailers, malls, entertainment venues, schools, logistics nodes, and more. Enables company and sector mapping with geographic precision.
Demographics Layer
Profiles the populations interacting with key assets – age, household type, income, education – supporting robust demand modelling and customer profiling.
Expenditure Layer
Shows household and sector-level spending power across regions, providing a quantitative measure of consumer strength and category-specific demand.
1st Party Data Layer
Investment firms can integrate proprietary datasets – portfolio performance data, store lists, transaction feeds – to enrich and benchmark insights while maintaining full confidentiality.
Survey Layer
Adds attitudinal context such as brand perception, spending intentions, and sector sentiment – bridging qualitative market insight with quantitative signals.
The Business Benefits.
Comparable Across Markets – a consistent methodological framework across Europe, North America, APAC- High Frequency Indicators – detect changes in activity before they reach traditional datasets
- Predictive Insight – anticipate performance, not just observe it
- GDPR Compliant & Privacy Safe – fully aggregated and anonymised
- Robust & Multi-Source – fused from diverse signal inputs for balanced, defensible insights
- Portfolio Level Visibility – compare brands, regions and sectors with a single lens
