Fill rate & the no-bid reality
Installed isn't earning. Why a large share of programmatic DOOH requests get no bid, why it's worse outside premium markets, and what that means for a new beauty network — with the data honestly caveated.
A screen on the wall is capacity, not income. It earns only when a slot actually sells — and in programmatic DOOH, a surprising share of slots don’t. This benchmark gathers what’s known about fill rate and the no-bid problem, is upfront that the hard numbers are single-operator (not an industry currency), and draws the consequence for a young beauty network: don’t expect programmatic to fill empty screens on day one.
Installed is not earning
The first thing to internalise: installing a screen creates capacity, not income. A screen is paid only when a slot is sold; on every unsold opportunity it runs a fallback — usually the venue’s own house content — and earns nothing (operator commentary — directional). So the metric that decides a network’s economics isn’t how many screens are live; it’s how many slots are live and sold. Early on, that fraction is often low.
The no-bid funnel
The clearest available picture of where programmatic demand drops off comes from a single operator’s network telemetry — useful as a shape, explicitly not an industry benchmark (single operator, Jan–May 2026 — directional):
| Funnel stage | Share of requests |
|---|---|
| Requested | 100% |
| Bid received | ~61% |
| Render started | ~48% |
| Play completed | ~41% |
The single biggest loss — about 39 percentage points — is at the no-bid stage: no DSP bids on the request at all. That’s the “no-fill problem,” and it’s the dominant reason a new network’s programmatic revenue underwhelms relative to its installed base.
Why it’s worse outside premium markets
The no-bid loss is not uniform. Programmatic demand is configured primarily for premium, tier-1 markets, so top-50 US DMA screens see materially higher bid rates than non-metro or international inventory (operator data — directional). For a beauty network, that has a direct implication: a salon cluster in a major metro will fill better than the same screens in a smaller city. Geography is part of your fill rate, not just venue quality.
Uptime is a quality gate
There’s also a hard prerequisite to getting bids at all: uptime. Screens generally must hold above the ~95% uptime threshold that most DSP quality configurations use as a gate (directional). A screen that drops offline doesn’t just miss those slots — it can fall below the quality bar and stop attracting bids even when it’s back up. This is why connectivity and monitoring are a revenue precondition, not an IT afterthought.
Curated deals fill better than the open exchange
The flip side of the no-bid reality is that the open exchange is the wrong place to look for fill quality. A curated PMP that pre-approves quality demand fills better and at a higher rate than open-auction scraps — one small network reported roughly 50% fill at a $15–20 CPM via a curated private deal (single network, anecdotal — directional). The lesson matches the deal-type mix: premium inventory transacts in private deals, and a thin open-exchange floor attracts low-quality demand that may not bid at all.
What it means for a new beauty network
The honest playbook for an operator reading these numbers:
- Don’t underwrite the business on programmatic fill. Early fill is low and lumpy; direct sales carry the first revenue while programmatic is wired up for later.
- Expect geography to bite — non-tier-1 clusters fill worse; size expectations accordingly.
- Protect uptime as a hard requirement to stay biddable.
- Lead with a curated PMP, not the open exchange, for both yield and fill quality.
- Judge yield on sold slots, and ask any partner for their venues’ actual paid history, not a calculator — because no industry fill benchmark exists to check a projection against.
Related: Fill rate · Floor price · Deal-type mix tracker · Landing your first advertisers · Unit economics: revenue per screen & payback · Hardware checklist for a network