Territory Intelligence is AdResonance's location analysis system. When you add a territory, the platform enriches it with real-world data from multiple providers, generates AI-powered audience segments and campaign strategies, and connects this intelligence to your ad generation pipeline.
How it works
- Add a territory by searching for a business, address, or landmark
- The system enriches the location with data from Foursquare, Google Places, Tomorrow.io, and Mapillary
- AI analyzes the enrichment data and generates audience segments, campaign strategies, and an intelligence brief
- All data is auto-saved and cached for 1 hour — subsequent views skip API calls
- Saved intelligence feeds into the context pack for territory-aware ad generation
Location enrichment
Each territory is enriched with data from multiple providers. The system fetches the location's category, rating, open/closed status, nearby business density and categories, current weather conditions, and street-level imagery coverage. This data is displayed in the territory dashboard and used to generate advertising recommendations.
AI intelligence brief
GPT-4o-mini analyzes all enrichment data and generates a territory intelligence brief. This includes a location type classification (University Campus, Shopping Mall, Hospital Complex, etc.), a narrative analysis of the territory's advertising potential, and specific actionable insights based on the competitive environment and foot traffic patterns.
Audience segments
The AI identifies 3-4 distinct audience segments at the location. For a university, this might include Undergraduate Students, Graduate Students, Faculty & Staff, and Campus Visitors. Each segment includes a description, recommended ad platforms (Instagram, TikTok, LinkedIn, etc.), best ad formats (Stories, Carousel, Search), and optimal timing windows.
Suggested campaigns
Three specific campaign strategies are generated for each territory. Each includes a strategy name, rationale for why it works at this location, recommended platform and format, and a suggested daily budget range. These can be used directly when creating campaigns in the ad generator.
Data-driven recommendations
In addition to AI-generated strategies, the system produces data-driven recommendations from real enrichment data. Weather conditions inform channel mix decisions (outdoor vs digital). Nearby business density drives competitive positioning strategy. Location ratings influence social proof tactics. Open/closed status optimizes campaign timing.
Signal providers
- Tomorrow.io — Real-time weather with advertising impact assessment. 1-hour TTL.
- Foursquare — Venue density, categories, and competitive landscape. 6-hour TTL.
- Google Places — Rating, review count, photos, open/closed status.
- Mapillary — Street-level imagery coverage and quality scoring. 24-hour TTL.
- NOAA — Free US weather fallback when Tomorrow.io is unavailable. 2-hour TTL.
- Mapbox — Geocoding, reverse geocoding, and interactive map rendering.
Caching and efficiency
- Enrichment data is auto-saved to the territory record after the first fetch
- Cached data is returned instantly if less than 1 hour old — no API calls
- Duplicate territories are prevented (same coordinates within 0.001 tolerance)
- The hourly signal ingestion cron adds fresh signals to territories automatically
- Expired signals are cleaned up after 24 hours
Context pack integration
Saved territory intelligence flows into the ad generation context pack. When generating ads, the system includes the territory's location type, intelligence brief, nearby competitive context, and weather impact. This makes generated ad copy territory-aware — referencing local context, audience segments, and timing windows specific to the deployment location.