Home renovation stores host 6 Trillboards screens with extended-dwell project-shopping audiences.
Home renovation DOOH reaches the project-shopping audience in 30–90 minute browse sessions. The audience archetype is pairs and family_units in project-planning mode; home services, financial services (mortgages, HELOC), home-improvement, and automotive advertisers see strong measured lift here.
Home-improvement retailers host Trillboards screens in aisle and counter positions. The screens serve programmatic ads matched to project-shopping demand and venue-specific product features.
Home renovation retail DOOH reaches an audience in extended project-shopping mode — pairs and family-units planning major home improvements. The 6 active Trillboards screens span 2 countries and 1 US city (Los Angeles). Floor CPM of $3.87 USD positions this category at network mean; buyer demand concentrates in home services, financial services (mortgages, home-equity lines of credit, contractor-financing), home-improvement consumer goods, and automotive.
Extended (10+ minutes per impression)
Home-improvement retail context; home-services, financial-services (home loans, HELOC), consumer-tech, and automotive creatives perform well; alcohol restricted in family-targeted store formats.
Five US cities with the highest concentration of home renovation stores on the Trillboards programmatic DOOH network (aggregate count — no per-screen identifiers exposed).
Each screen at home renovation stores runs the Trillboards kiosk app, which holds an open OpenRTB 2.6 connection to the Trillboards SSP. Roughly every 60 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 home renovation stores category on the Trillboards network averages $3.87 USD floor CPM and 400 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 home renovation 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 home renovation 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 6 active screens, 2 countries, 1 US city, $3.87 average floor CPM, and 400 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.