POI Data for OOH & CTV Geofence Targeting Guide

Out-of-home (OOH) and connected TV (CTV) teams share a dependency: accurate place boundaries. Billboard geofences, retail proximity segments, and closed-loop attribution from ad exposure to store visit all require POI data that does not bleed into the parking lot next door. This piece explains the adtech wiring — geofence build, exposure join, visit proof — with links to CTV/ACR and cross-channel measurement.

Key Takeaways

  • OOH proof-of-play often stops at impressions; POI polygons unlock visit lift against exposed cohorts.
  • CTV needs household or device graph joins before store attribution — POI is the store-side anchor.
  • Radius geofences around billboards over-capture commuter traffic; tighten with venue polygons where possible.

OOH: From Panel to Polygon

Media owners and DSPs define geofences around inventory — transit shelters, roadside units, mall media. POI polygons for adjacent retailers let buyers measure visit lift among exposed devices versus control. IAB measurement guidelines increasingly expect location proof beyond delivery logs.

CTV: Exposure → Visit Joins

ACR or ad-log exposure at the household level joins to MAIDs observed inside store polygons. Weak POI geometry shows up as inflated attribution — the classic fix is polygon upgrades, not bigger panels. See CTV ACR 101 for identifier basics.

Privacy-Safe Activation

Activation should respect minimum cohort sizes and sensitive locations. Pair POI with documented exclusions before building lookalikes from visitation — privacy-safe targeting guide.

Frequently Asked Questions

Why do OOH campaigns need POI data?
Delivery metrics show that ads ran; POI-based visitation shows whether exposed audiences actually went to relevant places — the outcome OOH buyers sell to brands.
Can CTV attribution work without POI polygons?
Only with coarse proxies (ZIP-level), which fail for dense retail. Polygon POI is standard for store-level lift studies.
What POI fields matter for adtech?
Stable IDs, polygons, brand hierarchy, and refresh dates — plus join compatibility to your MAID or household graph.