For most of its history, out-of-home advertising was bought the same way you'd buy a billboard in 1985 — by location, by traffic count, and by gut. In 2026, that's no longer a defensible strategy. The fastest-growing segment of media in Australia and New Zealand right now is programmatic digital out-of-home (pDOOH), and what's quietly powering its precision is something most marketers still treat as a black box: mobility data.
Mobility data — anonymised, aggregated signals about how real audiences move through the physical world — is rewriting the rules of audience targeting in DOOH. It's how brands now answer questions they couldn't answer a few years ago: Who actually saw this screen? Where did they come from? Where did they go next? And, increasingly, did they convert?
What mobility data actually is (and isn't)
Mobility data is a category of audience signal derived from large-scale, privacy-compliant location panels — typically built from opt-in SDKs inside consumer apps, telco network data, or panel-based research providers. The output isn't a map of individuals. It's a probabilistic, de-identified view of how groups of people move: commuter flows through a CBD, dwell time around a shopping precinct, post-game crowds spilling out of a stadium.
Crucially, it's not surveillance. Reputable mobility data providers — including the partners we work with at Lumos — operate under strict consent frameworks, anonymise at source, and aggregate signals before they touch a media plan. The output a media planner sees is an audience curve, not a person.
Why DOOH needed this in the first place
Traditional OOH targeting was a proxy game. You wanted to reach affluent commuters, so you bought screens in Martin Place. You wanted FMCG shoppers, so you bought near supermarket entrances. The screen was a stand-in for the audience, and the planning logic rarely went deeper than postcode-level demographics from the last census.
Mobility data collapses that proxy. Instead of buying a screen because it's near where your audience might be, you buy a screen because mobility signals show your audience actually passes it — in measurable volumes, at predictable times, with quantifiable dwell. The decision moves from inference to evidence.
Audience-first planning — buy impressions against an audience definition, not a location.
Real-world frequency capping — understand how often the same audience cohort is being exposed across a campaign.
Cross-screen sequencing — pair DOOH exposure with mobile retargeting using the same mobility footprint.
Post-campaign attribution — measure footfall lift, store visitation, or category dwell against control groups.
What the numbers say in 2026
The shift is showing up in the spend data. Globally, DOOH is projected to surpass US$25 billion in 2026, with programmatic representing the fastest-growing share — and the IAB's most recent online advertising expenditure reports in Australia have repeatedly highlighted DOOH and audio as the standout growth categories in an otherwise flat market. In our own conversations with agencies across AU and NZ this year, three patterns keep recurring.
First, audience-led briefs are now the default for any DOOH campaign over roughly $50,000. Second, agencies are routinely asking for mobility-backed measurement on every plan — not as a value-add, but as a baseline expectation. Third, brand and performance teams that used to treat DOOH as 'upper funnel only' are starting to plan it inside the same attribution models as their digital channels.
Two years ago, asking 'who's actually in front of this screen?' was a research question. In 2026, it's a buying question — and the brands that can answer it with mobility data are setting the pace for everyone else. — Eric Fan, Founder & CEO, Lumos
How mobility data shows up in a real campaign
Consider a national QSR launching a new menu item. The traditional plan would target high-traffic urban screens around lunchtime. A mobility-led plan looks completely different. Using anonymised movement signals, the planner identifies the cohort of audiences who visit competitive QSRs at least once a week, layers in mobility patterns showing the routes those audiences typically travel, and then activates screens along those routes — at the times of day when that cohort is statistically most likely to be exposed.
Post-campaign, the same mobility signals feed an attribution layer: did exposed audiences visit a QSR location within seven days at a higher rate than a matched, unexposed control group? That's footfall lift, measured against a real benchmark, not modelled out of a panel of 800 people.
The privacy question — answered honestly
Australian marketers are operating in the middle of a serious privacy reform agenda. The Privacy Act review and the move toward a more EU-style consent and data-minimisation regime mean that any audience strategy built on shaky data foundations is going to age badly. The good news for DOOH is that mobility data, done properly, is one of the more privacy-defensible signals in the modern marketing stack.
DOOH screens themselves don't identify individuals. Mobility datasets are aggregated and anonymised before they reach a planner. And, unlike third-party cookies, this is a model designed for a consented, opt-in world from the start. For CMOs trying to future-proof their measurement stack, mobility-led DOOH is a rare combination — more precise than what came before, and more defensible than most of what's sitting in the digital plan beside it.
What to ask your partners now
Where does your mobility data come from, and how is consent obtained at source?
What's the panel size and refresh frequency in my key markets (Sydney, Melbourne, Auckland, Brisbane)?
Can you tie pre-campaign audience planning to post-campaign attribution using the same data spine?
How are control groups constructed for footfall and brand lift measurement?
Can I see a sample audience build for my category before committing budget?
If a partner can answer those five questions clearly, you're working with a credible mobility-led DOOH stack. If they can't, that's a signal.
The bottom line
Mobility data isn't a feature of programmatic DOOH — it's the foundation. The brands winning in this channel right now aren't the ones spending the most. They're the ones using mobility signals to plan, activate and measure in a single closed loop, with audiences at the centre of the brief instead of pin-locations on a map. That shift — from screen-first to audience-first — is the single biggest reason DOOH is outgrowing every other established media channel in 2026.
At Lumos, we work with brands and agencies across Australia and New Zealand to plan and measure DOOH campaigns using exactly this approach: mobility-backed audience definitions, real-time programmatic activation, and post-campaign measurement that ties exposure to outcomes. If you'd like to see what a mobility-led plan looks like for your category, get in touch via spotlumos.com — we'll walk you through a sample build.
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