Neighborhoods Targeting

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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