The next evolution of OOH won't be seen. It will be modelled: Is OOH ready to settle the scoreboard?

By Tim Murphy, Chief Sales Officer, QMS 

At an action packed World Out of Home Organisation (WOO) Conference in London this year, the ANZ Outdoor industry was once again proudly represented at scale, and with a burgeoning sense of professionalism and progression.

And there was one big discussion topic where the volume has been turned up since we last met 12 months earlier.

Measurement. More specifically, who owns it - and how that is starting to change everything.

In a standout keynote session, Mutinex co-founder and CEO Henry Innis laid out the evolution of advertising measurement in simple terms: from reach and frequency, to last-touch attribution, and now to advertiser-controlled marketing mix models (MMMs).

That final shift is the one that matters. Because today, advertisers own the scoreboard.

The scoreboard has shifted

Marketers are no longer relying on platform-reported performance or seller-defined metrics. They are building independent MMM frameworks to understand what is actually driving business outcomes - and where to invest next.

As Innis has noted before, many organisations are still operating with "measurement assumptions built for a different era," despite being held to far higher standards of accountability.

That tension is reshaping the market. Measurement is no longer about explaining what happened. It's about predicting what will happen. It's about causality, not correlation. And increasingly, it's about feeding finance-grade models that guide real investment decisions.

Or put simply: if you're not in the model, you're not in the mix.

OOH is being misrepresented

This is where OOH has a problem.

In many MMMs today, OOH shows up as a single, undifferentiated line item. One number. One input. No nuance.

For a channel that has evolved into a highly flexible, data-rich, context-driven medium, that's a fundamental mismatch.

Because we know OOH performance isn't uniform.

Creative matters. Format matters. Location matters. Timing matters. Audience matters.

Yet in too many models, none of that exists. And when you strip away those variables, you strip away value.

Innis has been clear on this in another article - arguing that channel-level measurement alone is a "fallacy" that fails to reflect how modern media actually works, where outcomes shift based on creative, format and context.

The result? OOH is undervalued in the very systems now dictating budget allocation.

From justification to prediction

The promise of MMM is real. Done well, it enables marketers to move from backward-looking justification to forward-looking prediction - optimising investment with far greater precision.

But that promise is only as strong as the data behind it.

As Mutinex co-founder Matt Farrugia has put it, MMM is about helping organisations "leverage their data to create actionable insights and improve ROI", particularly through more granular, real-time decision making.

And that's the gap.

OOH data, in many cases, isn't yet structured or delivered in a way that fully supports that level of modelling.

The gap and the opportunity

The industry has spent a lot of time talking about new measurement currencies. But currencies alone won't shift CMO-level budgets.

Not unless they flow directly into advertiser-controlled MMMs, because that's where decisions are now being made.

If OOH data can't be easily ingested, interrogated and validated within those systems, it risks being simplified, compressed, or worse – ignored!

At the same time, this is a huge opportunity.

The first operators to make their data portable, granular and model-ready will do more than improve their own performance story. They will help redefine how OOH is valued as a channel and in doing so, take share - not just from weaker operators - but from other media entirely.

From theory to action

This shift is already underway, and it aligns directly with the call for open, client-led integration. At QMS, we aren't trying to build proprietary models or locked-in vendor partnerships. Instead, we're actively testing direct, live API integrations with major brands across categories such as alcohol and automotive.

The goal is total transparency: ensuring pure, unaggregated OOH data is fed straight into advertiser-owned MMM environments, broken down by creative, format, geography, spend, and timing. No hidden algorithms, no media-owner bias - just raw performance inputs that prove OOH's true value on an open scoreboard.

Because if MMM is now the scoreboard, then OOH needs to show up properly, and strongly.

A defining moment for OOH

OOH hasn't changed in one key respect. It remains one of the most effective, high-impact channels available to marketers.

What has changed is how that effectiveness is measured. And more importantly, who gets to define it.

As the industry moves from justification to prediction, the risk for OOH isn't declining performance, but rather it's declining visibility.

Because in a world where MMM determines investment, being under-represented is the same as being under-valued.

The next evolution of OOH won't be about what we build, it will be about how we're measured.

And right now, that's one of the most important parts we need to get right.