Location Intelligence

See where demand is moving.
Plan from the map.

Map weather, traffic, competitors, venues, and local activity. Use those signals to choose markets, budgets, and channels.

Read → Map → Budget → Launch

Turn local signals into a campaign plan.

Stage 1

Sense

Ingest real-world signals — weather, foot traffic, competitor density, venue activity — refreshed hourly from live provider APIs.

Stage 2

Resolve

Classify input, resolve brand identity, geocode locations, score place candidates, and construct the operating territory.

Stage 3

Allocate

Apply signal-weighted allocation across zones. Budget flows proportionally to signal strength — not evenly, not manually.

Stage 4

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.

Local (1–5 mi)
Zone (5–15 mi)
Market (city-wide)
Region (multi-city)

Example: Zone Scope

Core — 0–3 mi
36%+12%
Mid-Zone — 3–8 mi
30%+8%
Outer Zone — 8–15 mi
22%−3%
Zone Edge
12%−17%

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.