Measuring & reporting to clients
Metrics that hold up in a wrap report. What to report as fact, what to report as a disclosed estimate, and what to frame as a directional signal — the measurement chain, the currencies, attribution and brand-lift realities for in-venue beauty DOOH, without inventing a benchmark that doesn't exist.
A beauty DOOH wrap report fails when it presents an estimate as a measurement. Report a modelled impression count as if you counted viewers, or borrow a precise “average dwell” the source never measured, and the first sophisticated buyer who pulls the thread stops trusting the whole document. The discipline that holds up is simple to state and hard to keep: report delivered plays and proof of play as fact, impressions as a disclosed estimate, and dwell, attention and attribution as directional signals — never as settled currency. That’s not a hedge; it’s an accurate description of where in-venue DOOH measurement actually is in 2026. The honest line, which the industry’s own primary sources support, is that no verified beauty-venue-specific dwell, attention or CPM benchmark exists — so the credible report measures what it can stand behind and labels the rest. This guide is how to build that report. (For the products whose delivery you’re reporting against, see packaging & pricing for advertisers; for the proof you promised in the sale, selling salon inventory to brands.)
1. The measurement chain — plays, impressions, proof of play
Every DOOH metric descends from one distinction: a play is one airing of the creative on one screen; an impression is one estimated viewing by one person. Each play can be seen by several people, so one play yields several impressions — and the conversion is a model, not a count (Broadsign — primary).
- Plays are measured. You know how many times the creative aired.
- Proof of play is the log of those plays — but here’s the nuance that protects your credibility: proof-of-play software typically records that an ad was scheduled, “not technically whether it actually showed up on the displays.” A screen can be scheduled and dark — overheated, powered down, network-dropped. Robust proof therefore needs telemetry (“proof of display”: screen-on, network-connected) or third-party audit of the logs (OAAA/DPAA Primer — primary). And the OAAA is blunt: “if there is no proof that the creative played, then there is nothing to validate it was seen by the audience” — while self-verification “remains a big part of the current DOOH ecosystem” (OAAA — primary).
- Impressions come from the impression multiplier: served impressions (plays) × multiplier = audience impressions. Broadsign’s worked example — 10,000 plays × a multiplier of 4 = 40,000 — is real and verbatim, but the multiplier is “not standardized, rather customized per screen,” derived from the publisher’s survey data, anonymized mobile data, third-party research (Geopath/Nielsen) or sensors (Broadsign — primary). So the 40,000 is a publisher-defined estimate, never a measured viewer count.
The OAAA’s exposure methodology standardizes the inputs to that estimate — venue data + movement data + ad-play data, with Opportunity to See as the core metric (OAAA — primary). One more honesty point that belongs in any report touching location data: presence is “not the same as an impression, in which case a person would have to actually look at a display” — mobile location is at best a good proxy once filtered for the cone and direction of exposure (OAAA/DPAA Primer — primary).
2. What a young in-venue network can — and can’t — credibly report
Draw the line explicitly, because crossing it is the fastest way to lose a sophisticated buyer.
Credible to report as fact or disclosed estimate:
- Plays delivered vs contracted, and proof of play (confirmed venue list + playback counts) — fact.
- Screen count, venue list, operating hours, venue-type breakdown, location — fact.
- Delivered/estimated impressions via a disclosed multiplier — estimate, with the input source named.
- Share of voice — arithmetic from plays ÷ total loop slots, not modelled.
- Dwell / footfall estimates — acceptable only as clearly-labelled estimates, with the method’s limitations disclosed (the Primer lists recall, timestamped counts and sensors, and warns each has “inherent limitations that should be studied and disclosed”) (OAAA/DPAA Primer — primary).
Not yet credible for a young network to present as fact:
- Third-party-audited / MRC-accredited audience figures — these require a formal MRC audit and Geopath-grade syndicated measurement a new network won’t have (MRC/DPAA — primary).
- Proven attribution / brand or sales lift — the Primer flags these as time-consuming, prone to cross-campaign confusion, and needing to be planned before launch. For a small network they’re pilots and signals, not standard deliverables (OAAA/DPAA Primer — primary).
3. The measurement currencies and standards
A wrap report is more credible when it names where its numbers sit relative to the industry currencies — and is honest that a young network isn’t measured by them yet:
- Geopath (US) — the not-for-profit OOH currency (founded 1933 by OAAA + ANA), combining travel surveys, traffic counts and device mobility data into weekly impressions/OTS per structure across 200+ demographics (Geopath, Primer — primary).
- Route (UK) — operated by Ipsos; a GPS panel plus eye-tracking “cone of vision” yielding a likelihood-to-see metric across ~450,000 frames (Route/Ipsos — primary).
- MRC — accredits and audits place-based audience measurement, with full-methodology disclosure required (MRC/DPAA — primary).
Two facts to state plainly. First, vendor impression methodologies vary ~20–30% because there’s no universal pDOOH data standard — so impression counts from different vendors aren’t directly comparable, and you shouldn’t present them as if they were (Ariadne — directional). Second, self-verification is still prevalent in proof of play — which is exactly why transparent, auditable logs from you are a differentiator, not a baseline (OAAA — primary).
4. Attention and dwell — the honest version
This is where reports most often overreach. The verified position:
- There is no verified beauty/salon/spa/nail-bar-specific dwell or attention number. Targeted searches return only vendor marketing (“high dwell-time areas,” “captive setting”) with no sourced figures. Do not assert a salon dwell or attention-seconds benchmark — it doesn’t exist (confirmed across sources — unverified, do not assert).
- The general place-based advantage is directionally real but not in-venue-specific. Eye-tracking work finds per-exposure attention typically 1–2 seconds, with OOH receiving the longest dwell of the channels measured, and a couple of seconds being “plenty to build brand recall” (Lumen/JCDecaux — directional). Cite it as a general OOH figure; do not relabel it as a salon number.
- Attention vendors (Lumen, Adelaide) report models, not currency. Lumen counts a “view” on a >100ms fixation; Adelaide’s “AU” is an ML media-quality score. Their “outperforms other channels” claims are vendor PR — flag any attention metric you include as a model, not a measured truth (Lumen, Adelaide — directional).
- Emotion/attention detection is immature — the Primer itself cites the lack of consensus on a theory of emotion as a reason to be cautious (OAAA/DPAA Primer — primary).
The defensible claim about a salon is repeated, relaxed, in-context exposure over a long visit — not “40 minutes of attention.” (We cover how dwell converts to counted impressions, and the limits of that mechanic, separately.)
5. Attribution — what’s defensible at small scale
DOOH attribution methods, from the primary Primer, run from directly-measurable to study-grade (OAAA/DPAA Primer — primary):
- Foot-traffic lift — store visits among exposed devices vs a baseline, via anonymized mobile location data.
- Online / search lift — unique URLs, keywords, hashtags or QR/promo codes tied only to the DOOH flight.
- Brand lift — exposed-vs-control surveys and brand-health intercepts.
- Multi-touch — and the Primer’s strongest caution: a sale “shouldn’t be 100 percent attributed” to one touchpoint, since consumers are touched many times.
The scale rule for a young in-venue network: QR/promo-code redemptions and unique-URL/search lift are directly measurable and defensible at any size — make them the backbone of your attribution story. Footfall-lift and brand-lift studies need a large enough exposed sample and a clean control group, which a small or new network generally can’t supply credibly — so frame those as pilots, designed before launch (run brand-lift campaigns one at a time to avoid cross-campaign confusion), not as standard wrap-report claims. Vendor attribution stacks (e.g. Vistar via location and survey partners) are real but are vendor claims, not audited currency — label them so (Vistar — directional).
6. Effectiveness evidence you can cite — as category evidence
A wrap report can lean on OOH/DOOH effectiveness research to contextualise results — provided you frame it as what the channel does, never as what this flight delivered:
- OOH amplifies digital. OOH drove ~26% of offline search activations on ~7% of offline ad spend (≈4× its weight); >40% of US adults searched a brand online after seeing OOH (Nielsen/OAAA — primary; survey-recall, dated).
- OOH is noticed and acted on. ~90% of US travellers noticed OOH in the past month; ~66% of smartphone users took an on-device action after seeing it (Nielsen/OAAA 2019 — primary).
- DOOH drives activation. Roughly two-thirds of DOOH viewers took at least one action; for directional place-based ads, a large share who noticed then visited the business (Nielsen “On Location” / OAAA — primary; place-based, not salon-specific).
- OOH ROI around $5.97 in sales per ad dollar (Benchmarketing/OAAA — directional).
Treat recall league-table figures (“47% OOH vs 35% digital,” “86% highest recall”) with care — they circulate widely but lack a clean primary methodology page; attribute carefully or omit.
7. What a defensible wrap report contains
Structure the report so certainty is visible on the page (OAAA/DPAA Primer, MRC — primary):
- Delivery & proof (fact) — plays delivered vs contracted; proof of play (confirmed venue list + playback counts); uptime/proof-of-display telemetry where you have it.
- Audience (labelled estimate) — estimated impressions with the multiplier and its data source disclosed; venue-type and operating-hours breakdown; share of voice.
- Context signals (labelled directional) — dwell/footfall estimates as estimates; any attention metric flagged as a vendor model.
- Outcome signals (labelled directional, pre-planned) — QR/promo redemptions and unique-URL/search lift as measured; any footfall or brand-lift pilot with its method and limitations stated.
- Category effectiveness evidence — the §6 numbers, clearly framed as industry benchmarks, not this campaign’s result.
- Methodology appendix — name every source and mark it measured, modelled or estimated (mirroring MRC’s disclosure requirement).
The principle that survives any audit: report what you can stand behind, and present attention and attribution as directional signals, not settled currency.
8. The reporting mistakes that cost you the account
- Presenting estimated impressions as measured viewers — the multiplier is publisher-set and per-screen, and presence isn’t an impression (§1).
- Importing a precise “average dwell” or “attention seconds” as fact — especially a salon-specific one, which doesn’t exist (§4).
- Treating scheduling logs as proof of display — logs measure scheduling, not that the screen lit up (§1).
- Over-claiming attribution / single-touch credit — don’t 100%-attribute a sale to one touchpoint (§5).
- Comparing vendors’ impression numbers as if equivalent — they vary 20–30% by method (§3).
- Borrowing Geopath/roadside credibility for an unaudited in-venue network — name what you actually measured (§2).
So — what holds up in a wrap report?
Three tiers, labelled on the page. Plays and proof of play as fact — and make the proof robust, because logs prove scheduling, not display. Impressions as a disclosed estimate — name the multiplier and its source, never present a per-screen model as a measured count. Dwell, attention and attribution as directional signals — with QR/search/promo lift as the measurable backbone and footfall/brand lift as pre-planned pilots, not standard claims. Cite OOH’s effectiveness as category evidence, never as your flight’s result. And state the honest line out loud: no verified beauty-venue-specific dwell, attention or CPM benchmark exists, so this report measures what it can stand behind and labels the rest. That candour is what gets the second campaign signed.