DOOH Targeting, Explained by Buyers

The lazy take is that DOOH is "spray and pray." It is not. DOOH targeting is a layered stack a buyer composes the same way a programmatic display planner does, minus the cookie. Here is every dial on the panel, in the order they usually get turned.

1. Venue Type

The category of physical environment a screen sits in — gyms, gas stations, airports, doctor offices, bars, EV chargers, retail aisles. Each venue has a known audience profile and a measured dwell time. Pick the venues whose audience matches the brief; ignore the rest. Full inventory of every option on DOOH venue types.

2. Geography

Buyers stack geo from broad to surgical:

• National — every available US screen.
• DMA — Nielsen designated market area.
• State / city / ZIP — administrative cuts.
• Radius around a point — 1, 3, 5 miles around a store address.
• Custom polygon — a drawn service area, trade zone, or event footprint.

For the address-level mechanics, see DOOH geofencing.

3. Daypart

The hours and days a flight is allowed to fire. Coffee runs 6–10 AM, casual dining 11 AM–2 PM, bars 5 PM–close, B2B office 7 AM–6 PM Monday–Friday. Restricting daypart is the cheapest single optimization a plan has — most campaigns waste 20%+ of impressions in irrelevant time windows by default.

4. Audience Index

Census-block-group (CBG) profiles built from aggregated mobile-location panels and third-party data sources — fitness enthusiasts, frequent flyers, in-market auto shoppers, parents of toddlers, high-income households, Hispanic-dominant CBGs, and thousands of other segments. The DSP weights bids toward screens whose surrounding CBG over-indexes for the target. No individual device IDs are involved.

5. POI Proximity

Screens within X miles of a specified brand, competitor, or category. Standard for QSR ("0.5 miles around every Chick-fil-A"), auto ("3 miles around any Ford dealer"), retail ("1 mile around every Target"). POI lists pull from brand or category databases — your store list, a competitor's, or an entire category like "all coffee shops in California."

6. Contextual & Dynamic Triggers

Dynamic creative that only fires when external conditions are met. The most common triggers:

• Weather — temperature, precipitation, UV index.
• Live sports — home team winning, score, period.
• Flight data — delays, departures, arrivals.
• Inventory — low stock at the nearest store or dealer.
• Time-of-day creative swap — different creative for breakfast, lunch, dinner from the same line item.

7. Frequency Caps

Per-screen, per-loop, per-day, and per-week caps that stop a flight from over-exposing the same audience. On a tight inventory pool (a small geography or a niche venue type) frequency runs hot if uncapped; on a national plan it usually stays in the 3–5x range without intervention.

Putting It Together: A Realistic Targeting Stack

A QSR opening new locations would typically run:

• Venue — gas stations, convenience stores, casual dining, gyms.
• Geo — 2-mile radius around each new location.
• Daypart — 11 AM–2 PM and 5–8 PM.
• Audience — CBGs over-indexing on frequent QSR visits.
• POI — exclude screens within 0.5 miles of any competitor location.
• Frequency — capped at 4x per device-graph household per week.

That's a real plan. The targeting stack is the difference between "outdoor advertising" and "DOOH advertising."