Places

Aggregate places data groups anonymized visit signals across points of interest into competitive intelligence per hex cell: POI density, brand presence, competitive density, and visit-based trade-area metrics. Competitive share is computed from observed visits, not modeled, so the picture reflects who's actually winning a trade area rather than who simply has the most locations on a map.

Coverage: USA
Updated: Quarterly Refresh
Delivery : H3 r6–r9*

*H3 resolution varies per dataset — confirm exact resolution with product before integration.

Use Cases

• Site selection & competitive mapping - Evaluate candidate sites by what's already competing in the trade area, not just how many locations are nearby. Share-of-visits and rank are computed from observed visits, so teams can see which brand is actually winning a cell today, not just which brands are present.
• Market entry & whitespace - Identify markets and trade areas with real whitespace, where competitive density is low relative to demand, before committing to an entry plan. Observed competitive share and POI density together give expansion teams a clearer read on where a category is underserved versus already saturated.
• Network & cannibalization - Model how a new or relocated site would perform against an existing network by comparing trade-area population, penetration, and competitive density across cells. This supports network planning and cannibalization analysis for multi-unit operators, consulting engagements, and diligence work ahead of an investment decision.

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