The industry is calling it cross-media. It’s not
Partner content
Fluzo’s multiple data layers answer the question measurement has always promised to answer, but rarely delivered – not just who saw your campaign, but whether it mattered.
The industry has fallen into a semantic trap in the world of measurement. Agreements between some platforms to share first-party data — filtered however each one sees fit — are being called cross-media measurement. They’re not. They’re cross-video. And not even all of it.
Look at what is being offered. No solution is getting real traction across European markets. In some markets, they are proposed through JICs and industry bodies, further fragmenting the answer to advertisers’ needs by offering a different solution in every country.
Many follow a familiar pattern: a unified view of a few digital walled gardens and linear TV, merged inside a black box, backed by some platforms, and presented as a new industry currency. Advertisers are expected to adopt them and pay for them, despite having limited say in their design.
We all share the right ambition: transparency, neutrality, and like-for-like measurement across channels. Hard to argue with any of that. But these frameworks are built on what platforms choose to share — which means neutrality by permission, not by design.
Media that aren’t part of the agreement simply don’t exist in the measurement: no audio, no radio, no OOH, no smaller platforms. And a JIC is, by definition, a local construct — which is precisely the wrong answer for advertisers running campaigns across ten or fifteen markets.
Independent providers are already delivering genuine transparency in open competition, with real pressure to keep improving. Which brings us to what measurement should actually look like.
Real people do not consume media in silos. Their day is a continuous flow of broadcast, audio, social, CTV, online video, and OOH, often shared with others, rarely at home. When measurement only captures some of those moments, everyone loses. Advertisers bleed budget into invisible duplications. Agencies cannot justify investment without real incremental reach data. Audiences get hit with the same ad six times while entire segments go untouched.
Follow the person
The FLUZO approach starts from a different premise: follow the person, not the media, the platform or the device.
Our ACR-based methodology captures exposure across any audiovisual medium — including display and OOH in some of our markets and counting — without requiring permission from any platform or relying on their first-party data. Single-source, 100% independent.
It accounts for co-viewing too, and for the moments traditional measurement has always ignored: the friends watching the game at a bar, the commuter catching a podcast in the car, the viral moment that jumps screens, borders and walled gardens. We see all of those and more.
That data changes how campaigns are planned, not just how they’re reported. When you can see real cross-media reach — who’s been exposed, across which channels, how many times — you can reallocate budget between waves with precision. Reduce frequency waste on saturated channels. Push harder where incremental reach is still available. Reach new audiences instead of recycling the same ones.
With the same budget, campaigns can consistently achieve better performance. It’s not a reporting improvement. It’s a financial one.
Knowing where your campaign reached people is only part of the answer
The question that keeps CMOs up at night is whether it actually worked, whether it generated attention, shifted perception, or moved someone closer to a decision. That’s what the additional data layers are for.
Brand lift studies compare exposed and unexposed audiences to measure whether the campaign changed the viewer’s mind and how media mix and frequency contributed to that change. Geolocation data captures whether exposure translates into physical action. Digital behaviour signals — searches, web visits, app usage — show whether attention became intent.
Together, these layers answer the question measurement has always promised to answer and rarely delivered: not just who saw your campaign, but whether it mattered.
And before you ask: yes, there’s an AI story here too. Every campaign we measure — in every market, every day — adds another layer to a data asset built on something most models in this industry lack: real human media consumption. In and out of home, single-source, cross-media, accumulated across years, ages, genders and geographies. We’re applying that foundation to questions the industry has struggled to answer with confidence: which channels actually shift behaviour, at what frequency attention starts to decay, and where the next incremental reach genuinely comes from.
The early results are making us rethink assumptions we’d stopped questioning. That’s usually a good sign.
When we founded FLUZO, we saw it early. We were sitting on a gold mine of data that could genuinely change how the industry makes decisions, for those willing to look beyond what was currencied, standardised or officially endorsed.
Ten years later, some players have been benefiting from that data for years. It shows in how they plan, buy and optimise. Curious?
José Luis García is the CEO of Fluzo