Multi-Location Operators
Cross-territory intelligence at scale.
Operate signal intelligence across dozens or hundreds of locations. Each territory gets its own intelligence profile while the allocation engine optimizes across the entire network.
What you gain
Per-location signal intelligence
Each location receives its own territory profile — foot traffic, competitor density, environmental conditions — rather than operating on chain-wide averages.
Cross-territory pattern detection
The system detects patterns across locations that single-territory analysis misses. When conditions at one location predict outcomes at similar locations, intelligence propagates.
Centralized allocation with local adaptation
Budget allocates from a central pool but adapts to local signal conditions. High-performing territories receive proportionally more while underperformers are investigated.
Network-level learning
Decision memory compounds across all locations. The system learns faster because it observes outcomes across the full network simultaneously.
How it works
Map the network
Define territories around each location. Connect signal sources — sensors, feeds, or platform data — to build per-location intelligence profiles.
Allocate across territories
The allocation engine distributes budget across the network based on per-territory signal strength, with configurable constraints per location or region.
Compound network intelligence
Outcomes across all locations feed shared decision memory. Cross-territory patterns surface optimization opportunities that single-location operators miss.
Member of
Use cases
Franchise network optimization
Map signal intelligence across a franchise network. Each location gets territory-aware allocation while the central operator maintains visibility and control.
Regional expansion intelligence
Before opening a new location, map the prospective territory's signals. Compare against established locations to predict advertising efficiency.
Seasonal reallocation across locations
When seasonal patterns shift foot traffic between locations — beach towns in summer, ski areas in winter — the engine reallocates budget across the network in response.
What you get
Five connected primitives that work together as a single system.
Per-location signal ingestion
Each location has its own signal feeds. Foot traffic, competitor density, and environmental data are captured independently per territory.
Network territory map
A unified view of all location territories. Compare signal profiles, identify patterns, and spot outliers across the network.
Cross-territory allocation
Budget distributes across the entire network based on per-territory signal strength. Central constraints with local adaptation.
Network deployment
Execute advertising across all territories simultaneously. Each location receives signal-appropriate allocation and placement.
Network decision memory
Decision memory spans the full network. Cross-territory patterns compound learning faster than isolated single-location systems.
Frequently asked questions
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