Apparel stores host 17 Trillboards screens with fashion-intent audiences in 20–45 minute browse sessions.
Apparel DOOH reaches the fashion-intent audience in 20–45 minute browse-and-try-on sessions. The audience archetype is pairs and small_groups in fashion-intent mode; beauty, fashion, food delivery, and lifestyle advertisers see strong measured lift here.
Apparel retailers host Trillboards screens at fitting-room waiting areas, near the register, and in seasonal-display zones. The screen serves programmatic ads matched to fashion-intent demand and venue-specific seasonal-promotion content.
Apparel retail DOOH is one of the most context-aligned fashion categories because the audience is actively shopping for clothing — visible style cues, group composition, and dwell patterns all inform the fashion-context targeting layer. The 17 active Trillboards screens span 3 countries and 6 US cities; floor CPM of $3.21 USD positions this category near the network mean. The dominant audience archetype is pairs (especially during weekend traffic peaks) and small_groups (group shopping among friends) in 20–45 minute browse sessions; buyer demand spans fashion, beauty, lifestyle, food delivery (cross-category for mall-adjacent apparel formats), and consumer technology.
Medium (2–10 minutes per impression)
Fashion retail context; broad creative acceptance for fashion, beauty, lifestyle, and consumer-tech creatives; alcohol restricted in family-targeted store formats.
Five US cities with the highest concentration of apparel stores on the Trillboards programmatic DOOH network (aggregate count — no per-screen identifiers exposed).
Each screen at apparel stores runs the Trillboards kiosk app, which holds an open OpenRTB 2.6 connection to the Trillboards SSP. Roughly every 45 seconds, the device fires an ad request carrying the IAB DOOH inventory descriptor (venue category, geographic bucket, screen format) plus any locally observed audience signals from the on-device CV pipeline — group composition, audience archetype, and attention level — all aggregated and stripped of per-person identifiers before they leave the screen.
Demand-side platforms bid in under 100 ms; the winning creative ships back, plays inside the device's native VAST player, and confirms playback via a signed proof-of-play receipt. Trillboards reconciles those receipts daily against partner-reported numbers (the canonical record of truth for billable impressions) and credits the venue's earner balance monthly. The apparel stores category on the Trillboards network averages $3.21 USD floor CPM and 342 daily impressions per screen, numbers that translate directly into the earnings model below.
The Trillboards platform supports both first-party and third-party VAST creatives, OMID-compliant viewability measurement where the creative declares OMID support, and full proof-of-play receipts signed at the device level — meeting the Out of Home Advertising Association of America (OAAA) measurement standards and the IAB DOOH 1.0 specification. Buyers using the Trillboards OpenRTB endpoint can target apparel stores specifically via the IAB Audience Taxonomy plus the Trillboards segtax=600 namespace without ever receiving per-screen identifiers in the bid request.
Use the calculator to model monthly earnings for a screen in apparel stores. Inputs default to network-wide medians; adjust them to match your specific venue traffic.
Earnings Estimator
Select your business type, number of screens, and traffic level to see your estimated monthly earnings.
Estimated Monthly Earnings
$0
~4,000 impressions/month
The 17 active screens, 3 countries, 6 US cities, $3.21 average floor CPM, and 342 daily impressions per screen shown here are aggregated from the Trillboards PostgreSQL system of record (table earner_screens filtered by status = 'approved'), joined to the venue taxonomy. Counts reflect the network state at the snapshot date and are rebuilt monthly. Floor CPM numbers are the screen-level minimums; cleared CPMs typically run 20–40% higher depending on demand. Per Trillboards aggregate-only data disclosure policy, no per-screen identifiers, partner identifiers, or device identifiers are published on this page — only the counts and category-level statistics needed for buyer and earner decisions.