Ask Skip: Are Advertisers Measuring the Wrong Thing?

You recently wrote about the decline of precision targeting and the growing amount of uncertainty in advertising. As identity signals get weaker, should buyers be putting more weight on media quality, including attention, placement, clutter, and the environment surrounding the ad? Does that give us a better way to distinguish good inventory from bad?

— Adtech Research VP

Yes. With one important warning.

Advertising spent the better part of two decades obsessing over who saw the ad. The industry built identity graphs, audience segments, behavioral profiles, retargeting systems, clean rooms, deterministic IDs, probabilistic IDs, and enough targeting acronyms to require their own Rosetta Stone.

Meanwhile, a much simpler question got less attention than it deserved.

What kind of impression did we actually buy?

I wrote recently about why advertising is still selling certainty even as the signals underneath that certainty get weaker. Media quality is a logical extension of that argument.

If the ability to know exactly who’s on the other side of an impression keeps degrading, the quality of the opportunity itself carries more weight.

That’s the basic idea behind media quality, and I think it’s useful.

An impression on a TV screen with high share of screen, low clutter, appropriate frequency, strong audibility, and a real probability of human attention has different economic value from an impression technically served somewhere in the digital wilderness.

The industry has always known this intuitively. It just got very good at pricing audiences and surprisingly mediocre at pricing the experience surrounding those audiences.

For years, media buying increasingly behaved like real estate priced almost entirely around who might walk into the building, with far less attention paid to whether the building had electricity.

Identity carried the sales pitch. The more fragmented those identity signals become, the more obvious the limitations of that approach get.

Two impressions against the same supposed consumer segment can produce wildly different results because the conditions surrounding those impressions are different. One appears in premium video with limited commercial interruption. Another arrives in an overcrowded environment surrounded by competing messages.

The ID can be right and the media can still be lousy.

Media quality gives buyers another way to make that distinction.

Attention belongs in that conversation. So do placement, ad density, screen coverage, audibility, fraud, suitability, content environment, frequency, and the basic mechanics of how the ad appears to an actual human being.

Context belongs inside that framework too. Media quality gives buyers a broader way to evaluate the total opportunity surrounding an impression.

CTV makes this particularly relevant because “served” tells you very little about what happened on the other side of the ad server.

An ad can technically reach the correct household and still land in a terrible viewing experience. It can hit someone for the eighth time that evening. It can appear inside an overloaded pod. It can reach a TV nobody is actively watching. It can run after the viewer has mentally checked out three ads ago.

That matters even more as the measurement system behind streaming advertising struggles to keep up with the amount of money flowing into the market. More inventory and more addressability create more things to measure, while fragmentation makes consistent measurement harder.

Media quality brings the discussion closer to the actual exposure.

That’s valuable for buyers. It may be even more important for publishers and streaming services.

Digital advertising increasingly flattened inventory into impressions, CPMs, audience segments, and bids. Standardization made buying easier, but it also compressed meaningful differences between media environments.

A premium streaming service should want buyers evaluating those differences.

If one environment consistently creates better opportunities for attention, carries less clutter, manages frequency better, and produces stronger outcomes, that inventory should carry different value. Sellers need credible ways to demonstrate those differences, and buyers need consistent ways to evaluate them.

Media quality can become part of the pricing language.

This matters because premium publishers have consistently argued that their inventory deserves a premium while competing inside buying systems designed to make inventory increasingly interchangeable.

“Trust us, this is premium” eventually runs out of gas.

If better media environments create measurable advantages, prove them. Let the evidence support the premium.

And this is where my warning comes in.

Advertising loves finding a new number and immediately turning it into religion.

We did it with click-through rates. We did it with viewability. We did it with completion rates. We did it with attribution. Give this industry a score that fits neatly into a dashboard and somebody will have an entire media plan optimized around it before lunch.

Media quality deserves better than that fate.

Any quality score is still a model. It reflects the inputs, assumptions, methodology, weighting, and validation used to create it. Different methodologies may place different value on attention, clutter, placement, duration, environment, or other signals.

A high-quality impression gives creative a better opportunity to work. Business impact still has to be measured.

Strong media quality can’t manufacture demand. It can’t rescue bad creative. It can’t establish incrementality on its own. And it won’t tell the CFO whether the campaign generated profitable growth.

It helps answer a narrower and extremely useful question: did the media have a legitimate opportunity to do its job?

Advertising needs more questions like that.

We’re moving into a market where attention is becoming the scarce asset, which makes the conditions surrounding exposure more economically important. The abundance of impressions doesn’t guarantee an abundance of meaningful opportunities to influence consumers.

That points toward a better measurement stack.

Audience data can estimate who may have been exposed. Media-quality signals can evaluate the conditions surrounding that exposure. Incrementality testing can determine whether investment changed behavior. Media mix modeling can help explain contribution across channels. Business outcomes eventually tell you whether any of it mattered.

Each layer answers a different question.

That’s healthier than asking one dashboard to explain the entire customer journey.

For buyers, media quality should become another input in planning, buying, and optimization alongside audience, reach, frequency, creative, and outcomes. Cheap impressions with weak exposure conditions should be treated accordingly.

For sellers, the opportunity is proving why inventory deserves a premium with evidence that goes beyond reputation and an upfront deck. Better viewing environments, lower clutter, stronger attention, responsible frequency, and cleaner supply become commercially useful when they can be connected to outcomes.

And for measurement companies, keep validating quality signals against real business results. Models should evolve as viewing behavior, devices, formats, and advertising experiences change.

The minute everybody starts chasing the score itself, the industry will have recreated the exact problem it was trying to solve.

Advertising has focused heavily on identifying the person seeing the ad. Media quality asks what kind of impression that person actually received.

Skip Says

Media quality gives buyers and sellers a useful way to evaluate value as identity becomes less reliable. Attention, placement, clutter, frequency, fraud, and the viewing environment can tell us whether an impression had a reasonable opportunity to influence someone.

Put those signals into the measurement stack alongside audience data, incrementality, media mix modeling, and business outcomes. Then keep validating them against what actually drives results. Advertising has enough magic numbers already. Media quality will be most useful when it helps people make better decisions without pretending one score explains everything.

Ask Me Anything

Whether you’re fed up, fired up, or just want the truth behind the trends, send me your questions using this form. Anonymity guaranteed. Bullshit not included.