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September 2024 ยท Strategy Process

The fragmentation nobody planned for.

Five streaming services, four ad exchanges, three measurement vendors, and no single source of truth.

There was a moment, around 2018, when the streaming landscape felt manageable. Netflix was the default. Hulu had ads. Amazon was there if you squinted. The media plan still had a center of gravity. A brand could build a video strategy around two or three platforms and reasonably claim they'd covered the landscape. That moment is gone and it is not coming back.

Today a mid-market brand trying to run a national video campaign has to navigate Netflix, Hulu, Peacock, Paramount+, Max, Disney+, Amazon Prime Video, Tubi, Pluto, Roku, and YouTube. Each of those platforms has its own ad product, its own targeting taxonomy, its own measurement methodology, and its own definition of what counts as a completed view. The planning complexity didn't increase incrementally. It exploded.

Nobody designed this system

The important thing to understand about media fragmentation is that nobody planned it. There was no architect. No one sat down and designed a system where every major media company would launch its own streaming service, build its own ad stack, and create its own walled garden of audience data. It happened because every player was making a rational individual decision and the collective result is irrational.

Disney needed to go direct-to-consumer because the economics of licensing were eroding. NBCUniversal needed its own platform because cord-cutting was gutting affiliate fees. Warner needed to consolidate its content library under one roof. Each decision made sense in isolation. Together, they created an ecosystem where a single consumer might watch content on four different apps in a single week and no one can tell you that it's the same person across all four.

This is the fragmentation nobody planned for. Not just fragmentation of content, which the industry has talked about for years. Fragmentation of identity, of measurement, of planning infrastructure. The pipes don't connect. The data doesn't reconcile. The media plan that used to fit on one spreadsheet now requires a systems integration project.

The measurement crisis is worse than you think

I worked with a consumer electronics brand last year that was spending across seven streaming platforms. They asked a simple question: what is our unduplicated reach? Seven weeks later they still didn't have a confident answer. Not because the team was slow. Because answering that question requires resolving identity across platforms that have no incentive to share data with each other.

Every platform can tell you how many people saw your ad on their platform. No platform can tell you how many of those people also saw it somewhere else.

The industry's answer to this has been third-party measurement. Bring in a vendor, install some pixels, run some panels, stitch it together. But the third-party vendors are working with incomplete inputs. They're modeling what they can't observe, and the models are built on assumptions that vary from vendor to vendor. I've seen two reputable measurement partners disagree on a campaign's reach by thirty-five percent. When your measurement variance is larger than your optimization lever, you don't have measurement. You have an expensive opinion.

Nielsen was supposed to solve this. For decades, Nielsen was the shared language of television measurement. Everyone argued about the methodology but at least they were arguing about the same numbers. That consensus is gone. Nielsen's cross-platform product is still evolving, competing alternatives have entered the market, and the buy side and sell side can't agree on which currency to trade against. We went from one flawed but shared standard to multiple standards that aren't standard at all.

Planning has become a reconciliation exercise

The downstream effect on media planning is severe. I've watched planning teams spend more time reconciling data between platforms than actually making strategic decisions about where to invest. The mechanical work of assembling a coherent picture from incompatible data sets has consumed the hours that should be spent on insight, on creative strategy, on understanding what the audience actually needs to hear.

A planning team at a major agency told me they maintain eleven separate login credentials for streaming ad platforms. Eleven dashboards, eleven reporting formats, eleven definitions of a video completion. The senior strategist on the account spends roughly a third of her time on what she calls "translation work," converting platform-specific metrics into a common framework so the client can compare performance across channels.

This is not a technology problem waiting for a technology solution. It's a structural problem created by competing business incentives. Each platform benefits from keeping its data proprietary. Each platform benefits from making its own metrics look favorable relative to the competition. The opacity is a feature, not a bug, if you're the one selling the inventory.

The brand's job has changed

What this means for brand marketers is that the job description has fundamentally shifted. Ten years ago, the primary skill in media planning was negotiation. Get the best rate, secure the best placement, squeeze value out of the upfront. Today the primary skill is systems thinking. The ability to hold complexity, identify signal through noise, and make allocation decisions with imperfect information.

The brands handling fragmentation well have accepted that precision is a fantasy and have built their planning process around directional confidence instead. They're not trying to measure every impression across every platform down to the individual level. They're using market-mix modeling to understand channel-level contribution. They're running incrementality tests in controlled geographies. They're accepting wider confidence intervals and making up for it with faster test-and-learn cycles.

The old model was plan, buy, measure, optimize. The new model is hypothesize, test, learn, reallocate. The difference sounds subtle but it changes everything about how a team operates.

They've also stopped expecting their agency to solve this for them. Not because agencies are incompetent, but because the problem exceeds any single agency's data access. The brand has to own the measurement framework because the brand is the only entity with a complete view of its own business outcomes. The agency can execute. The agency can recommend. But the source of truth has to live with the brand.

Fragmentation is permanent

The industry keeps waiting for consolidation to simplify things. Every time two streaming services merge or a smaller player folds, someone declares that the market is rationalizing. It isn't. Even if the number of platforms shrinks from twelve to eight, the underlying structural problem remains. Walled gardens, incompatible data, competing measurement standards. Fewer players doesn't mean less complexity. It means more powerful walled gardens with even less incentive to cooperate.

The brands that thrive in this environment won't be the ones waiting for clarity to emerge from the chaos. They'll be the ones that built an operating model for chaos. That means investing in internal data capabilities, building measurement frameworks that don't depend on platform cooperation, and treating the media plan as a living hypothesis rather than a fixed allocation.

Fragmentation was supposed to give consumers more choice. It did. It was supposed to give brands more precision. It didn't. What it gave brands instead was more complexity with less visibility. The ones who accept that trade-off and plan accordingly will outperform the ones still looking for the dashboard that makes it all make sense. That dashboard isn't coming.