OOH measurement currency map

An OOH measurement currency is the single agreed audience yardstick a market plans and trades on — and there’s no global one. Every country has its own, some markets share none, and the patchwork shapes how beauty inventory gets measured wherever you operate. This reference maps who measures OOH where, and flags the gaps.

What a currency is — and why there’s no global one

A measurement currency (or JIC — joint industry committee) is the audience yardstick a market agrees to trade on: reach, frequency, impressions per screen, increasingly attention. It matters because it’s agreed — buyers and sellers transact against the same numbers. There’s no global OOH currency because measurement is built nationally, by national bodies, on local data — so “how is this screen measured?” has a different answer in every market, and cross-country comparison is rough. For a beauty network or advertiser operating across borders, knowing the local currency is the first step in every market.

The map

The established and emerging national OOH currencies, by market (national bodies — primary; full list in the source directory):

Market	Currency / body
United States	Geopath (MRC-accredited)
Canada	COMMB
United Kingdom	Route
Ireland	JNOR (relaunched 2026, Ipsos)
France	Mobimétrie (ex-Affimétrie, Ipsos)
Germany	agma — ma Out of Home
Italy	AudiOutdoor
Spain	Geomex (Cuende)
Belgium	CIM
Netherlands	NMO (absorbed the BRO JIC, 2026)
Sweden	Outdoor Impact
Denmark	AFA Decaux “Viewed Impressions”
Finland	Media Metrics Finland (AllUnite)
Australia	MOVE / MOVE 2.0 (sole standard, Mar 2026)
New Zealand	OOHMAA (AMS)
Japan	LIVE BOARD (impression-based, Dentsu + NTT)
Russia	Admetrix

A few patterns stand out. Most are run by joint-industry bodies or national associations; a few (Japan’s LIVE BOARD, Denmark’s AFA Decaux) are operator/vendor-led but function as the market reference. And the methodologies are converging toward mobility data and visibility modelling — several relaunched around 2026 (MOVE 2.0, JNOR, NMO) to get more granular and digital-inclusive.

The gaps: markets with no currency

The map’s most important feature is where it’s blank. Large, fast-growing markets have no national OOH audience currency at all:

India — no cross-industry currency; measurement is vendor-led (Moving Walls, Nielsen partnerships).
The Middle East — vendor-led verification (PerView, Veridooh, VIOOH), no JIC.
Much of SEA and Latin America — operator- or vendor-led, with no single agreed yardstick.

In these markets, beauty inventory is measured by whatever vendor stack the operator uses, with no shared standard to check it against — the measurement-immaturity caveat in its strongest form. So “how is it measured here?” can have the answer “it isn’t, by any agreed currency.”

What it means for beauty

Two practical points for anyone operating across markets:

None of these is beauty-specific. Every entry above is a national OOH currency — beauty inventory is measured within it (or, in the gap markets, by a vendor stack), never against a beauty yardstick. There is no audited beauty measurement anywhere; the currency tells you the local OOH standard, not a salon number.
Check the current version. Several currencies just relaunched, so a pre-2026 methodology note may be stale — confirm you’re citing the live version before planning against a reach figure.

The map is a planning tool: in a market with a currency, measure beauty inventory against it and cite the current version; in a market without one, lean harder on the operator’s own data and independent verification, because there’s no shared yardstick to fall back on.

The takeaway

OOH measurement is national, not global — a patchwork of currencies (Geopath, Route, MOVE, agma, Mobimétrie and more), several freshly modernised, and significant gaps where large markets (India, MENA, much of SEA and LATAM) have none. For beauty, the map tells you the local OOH standard to measure inventory within — never a beauty-specific yardstick, which doesn’t exist. Know the local currency (and its current version) where there is one, and lean on operator data and independent verification where there isn’t.