Overview
Neighborhoods are geographic trade areas identified by GroundTruth’s Blueprints™ technology [Blueprints 101]. They represent the specific areas with the highest concentration of real-world foot traffic affinity to a brand or store location.
- Traditional geofencing answers: “Who is near my store right now?”
- Neighborhoods answer: “Where do people who visit my store actually live and spend time?”
By identifying where a brand’s customers live (dwell) and spend their time, you can reach potential customers in geographic zones (trade areas) that mirror your current customer base.
💡 Neighborhoods function as GroundTruth’s version of lookalike modeling. Instead of using inferred demographics or online behavior, we use location-verified visitation data to identify high-affinity geographic zones.
Key Characteristics
- Verified Data: Based on real-world, location-verified foot traffic data
- Store-Specific: Unique to each individual store location
- Beyond Proximity: Represents customer dwell areas rather just distance from store, extending beyond traditional radius targeting
- Privacy-Safe: A contextual, geography-based solution (not demographic-based)
How It Works
Neighborhoods are built using observed real-world foot traffic patterns tied to specific Blueprinted locations. For every location, GroundTruth’s system analyzes:
- Where visitors originate from before visiting the store
- Where they travel to after visiting the store
- The concentration of repeat visitation from surrounding areas
The result is a store-specific heat map that identifies geographic “trade areas” with the highest representation of visitors to that store’s location.
When to Use Neighborhoods
Neighborhoods is a contextual, geography-based solution designed to scale awareness without relying on third-party data. It works best when the goal is scale and awareness, rather than immediate visitation.
The Strategic Question: “If I have a store in a particular area, what surrounding areas are most likely to influence people to visit my location—and are already interested in what I’m selling?”
Ideal Use Cases
- Brand awareness campaigns
- Competitor conquesting
- Statewide or nationwide campaigns where scale is required
- Identifying areas that are most likely to influence store visitation
When to Choose Other Tactics
- Driving direct, immediate store visits
- Small, highly localized campaigns
- Campaigns where strict proximity is required
⚠️ For visitation-focused objectives, Blueprint geofencing or proximity targeting is recommended instead. For targeting residential areas, refer to Residential Targeting.
Neighborhoods Targeting vs Other Targeting Types
| Targeting Type | Best For | Key Difference |
| Neighborhoods | Awareness & scale | Targets people (“geographic lookalikes”) who resemble existing customers |
| Blueprint Geofencing | Store visits | Targets people physically at the location |
| Radius / Geo | Proximity-based reach | Targets people near the location |
Neighborhoods are effectively a geographic lookalike audience, powered by offline behavior.
Guardrails & Requirements
To ensure campaign success, keep the following in mind:
- Availability: If a brand or Location Group is new to our system, we recommend waiting 1 month to generate enough data to build a Neighborhood map. For new Location Groups, refer to [Location Group Targeting Enhancements]
- Pacing: Once built, Neighborhoods are updated weekly. The system starts by targeting high-density “heat map” areas. If a campaign needs more volume to spend its budget, the system will dynamically expand to slightly lower-density areas to maintain pacing.
- Direct Mail Not Supported: Neighborhoods cannot be combined with Direct Mail media, as those campaigns are already tied to specific, fixed addresses.
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