Why Broadcast Is Losing Ad Dollars Despite Massive Reach

The advertising industry has spent a decade solving for targeting. Most of the major platforms have gotten quite good at it. That is not where broadcast is losing. Broadcast is losing on proof.

The buyers moving budgets to Netflix, Amazon, and programmatic platforms aren’t doing it because those platforms have bigger audiences. In most markets, they don’t. They’re doing it because those platforms can answer a straightforward question with current data: who saw this, what did they do next, and how does that compare to last week?

Most broadcasters cannot answer that question at the speed buyers now expect. The data exists, but in fragments across systems and on quarterly reporting cycles. It doesn’t arrive in time to change a selling conversation.

Reach Is Not the Problem

That gap has a name. I call it the intelligence infrastructure gap. And in 2026, a midterm election year and a World Cup year, when FAST monetization pressure is peaking across every major media group, it is going to cost broadcasters real money.

The evidence is already in the earnings releases.

TelevisaUnivision’s CEO acknowledged publicly that his company missed the 2024 political cycle. Committed spend had already been allocated before TelevisaUnivision engaged directly with campaigns. The Hispanic audience in U.S. battleground markets is among the most undervalued in broadcast advertising. The opportunity was there. The data to prove it, at the moment campaigns were making decisions, was not.

Nexstar’s Q4 2025 revenue fell 13.4%, with political advertising down $233 million year over year. The instinct is to read that as a cycle problem, an off-year with no election. But non-political core advertising grew only 4.5%, nowhere near enough to offset the swing. A sales team with current category-level intelligence — meaning which advertisers are actively spending in this market right now — sells differently than one working from last quarter’s data.

Scripps launched an enterprise-wide transformation plan in February 2026 targeting $125 million to $150 million in annualized EBITDA growth by 2028 through AI and automation. CEO Adam Symson framed it plainly: the goal is to operate “with the fast and agile infrastructure and technology that our economic environment demands.” That is a serious commitment. The question is whether the intelligence layer can move as fast as the commercial ambition requires.

These are not isolated failures. They are the same failure at different companies, in different segments, in the same year.

The Intelligence Infrastructure Gap

The industry knows it. iHeartMedia CEO Bob Pittman has said publicly that his goal is to make broadcast inventory “transact like digital.” That is precisely the right ambition. But transacting like digital requires proving performance like digital. That starts with having the audience intelligence that programmatic buyers require before they will bid at scale. The DSP connection is the last mile. The intelligence layer is what makes buyers confident enough to use it.

Broadcast still possesses enormous advantages. Local broadcast news continues to command some of the highest trust scores in media. In many markets, broadcasters reach audiences at a scale streaming platforms cannot match. The challenge is not audience quality or audience size.

The challenge is transforming audience data into actionable intelligence quickly enough to influence buying decisions.

Competing With Digital on Proof

Think about what actually happens in a sales conversation when a buyer asks why they should shift budget from a programmatic platform to a local broadcast package.

The platform representative responds with data from last Tuesday: impression delivery, audience composition, content performance, and category share. The broadcaster responds with last quarter’s ratings book, a reach estimate, and a promise to follow up with more information.

That is not a content problem. It is not a reach problem. It is an answer-speed problem.

The buyer is making a decision now. The information capable of changing that decision often arrives too late to matter.

This reality increasingly shapes how media budgets are allocated. Marketers are under pressure to justify spend with measurable outcomes, and channels that can provide timely intelligence naturally gain an advantage. Even when broadcast delivers superior reach, delayed proof weakens its position in the planning process.

The Window to Act Is Closing

Closing the intelligence infrastructure gap doesn’t require rebuilding a broadcaster’s entire data stack from scratch. Most of the underlying signals already exist: audience data, content performance metrics, competitive category movement, and market benchmarks.

What’s missing is the synthesis layer that converts those signals into actionable intelligence that sales teams can use in real time rather than days or weeks later. That layer is not merely a technology project. It is an operating decision.

And the broadcasters that make that decision in 2026 — before midterm election spending accelerates and before World Cup advertising inventory tightens — will enter critical sales conversations with a fundamentally different value proposition than those that do not.

Broadcast audiences are not the problem. In most markets, the reach remains extraordinary. The problem is that extraordinary reach, without the data to prove its value in the currencies modern buyers require, loses to smaller audiences that can.

That is the gap 2026 will expose. And it is a gap that can be closed.