Territory Intelligence
Physical-world signals.
Spatial allocation.
AdResonance ingests real-world data — weather, foot traffic, competitor density, venue activity — and translates it into territory-level advertising decisions.
Sense → Resolve → Allocate → Execute
Four-stage pipeline from raw signal to deployed campaign.
Sense
Ingest real-world signals — weather, foot traffic, competitor density, venue activity — refreshed hourly from live provider APIs.
Resolve
Classify input, resolve brand identity, geocode locations, score place candidates, and construct the operating territory.
Allocate
Apply signal-weighted allocation across zones. Budget flows proportionally to signal strength — not evenly, not manually.
Execute
Deploy campaigns to connected platforms with territory-aware targeting, budget caps, and automated governance.
Signal-Weighted Allocation
Budget does not split evenly. It flows to where the signals are strongest. Each zone's allocation adjusts based on real-time signal confidence — foot traffic rising in the core means more budget deployed there, automatically.
Example: Zone Scope
Signal Sources
Real provider APIs, not mock data. Signals are ingested hourly and stored with confidence scores and TTLs.
Weather & Environment
Tomorrow.io
Hyperlocal weather, precipitation, UV index, and business impact signals refreshed hourly.
Venue & Foot Traffic
Foursquare
Nearby venue density, category breakdown, popularity scores, and foot traffic trends.
Street-Level Imagery
Mapillary
Storefront visibility, signage verification, and visual context from street-level imagery.
Place & Geocoding
Google Places + Mapbox
Address resolution, place details, isochrone analysis, and territory boundary computation.