Why Made-For-Advertising Sites Can Damage Your Brand
Made-for-advertising sites once soaked up 15% of programmatic spend industry-wide. That figure has collapsed since 2023. The Forbes ghost-site case shows why that improvement doesn’t mean the problem is solved for any individual buy.
Made-for-advertising (MFA) sites are built to maximise ad density, not to serve the reader, and for years they quietly absorbed a meaningful share of programmatic budgets before most advertisers had a name for what was happening. The industry has made real progress cleaning this up. That progress is aggregate, not universal, and the gap between the two is where money still leaks.
What actually makes a site “made for advertising”
The defining trait isn’t low quality content on its own, plenty of legitimate publishers run thin content occasionally. It’s structural: pages engineered specifically to maximise ad slots per pageview, heavy use of slideshows and pagination to inflate impression counts from a single piece of content, clickbait headlines optimised to harvest traffic cheaply rather than build an audience, and content that exists to carry ads rather than ads that exist to fund content. The Forbes ghost-site case covered in How Brands Paid Forbes.com For Fraudulent Ads is the sharpest illustration of the pattern: the same 700-word article, reformatted from a standard article into a 34-slide slideshow, went from roughly seven ad impressions to around 150.
The numbers, then and now
| Measure | 2023 (ANA baseline) | Most recent benchmark |
|---|---|---|
| Median share of programmatic spend on MFA | 15% | 0.4-0.8% |
| Share of impressions on MFA sites | 21% | Substantially reduced, not separately tracked at the same granularity |
| Estimated annual advertiser spend on MFA (US) | ~$13 billion | Not separately re-estimated at the same scale |
Source: ANA Programmatic Transparency Benchmark
That’s a genuinely large improvement, driven by better exclusion lists, curated marketplace deals replacing open exchange buying, and more scrutiny from buyers generally. It’s also a median. The same benchmark data that shows the median collapsing has also found top-quartile marketers still spending meaningfully more of their budget on MFA domains than the median implies, meaning the aggregate improvement masks real variance in how well any individual advertiser’s own screening actually works.
The gap between the median and the top quartile is the part worth sitting with. It means the industry-wide fix didn’t come from every advertiser adopting the same rigorous screening. It came from the median advertiser adopting decent screening, while the underperformers, still meaningfully exposed, don’t show up clearly in an aggregate number that leads with the median. If your own screening hasn’t been independently audited recently, the industry benchmark alone gives you no evidence either way about which group you’re actually in.
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Why the industry-level fix doesn’t make any single buy safe
The Forbes case is the clearest reason the aggregate numbers can mislead. Forbes isn’t a classic MFA domain, it’s a reputable publisher with genuine editorial output, and standard MFA-screening tools built to flag low-quality domains would have passed it without a second look. The ghost site achieved MFA-style ad density on a domain that every conventional exclusion list would have rated as safe. Aggregate improvement in MFA spend share says nothing about a case built specifically to sit outside the pattern that screening tools are trained to catch.
Practical screening beyond exclusion lists
Exclusion lists and domain-level quality scores remain necessary but are no longer sufficient on their own. Worth adding: periodic manual spot-checks of the actual page format ads are serving against, not just the domain reputation; attention or viewability metrics that would flag unusually high ad density even on a reputable domain; and direct questions to publisher partners about whether alternate or syndicated site versions exist, the same practice covered in the Forbes case study. None of this replaces exclusion lists. It catches what they’re structurally unable to.
The cost of this extra layer is small relative to the media budget it’s protecting, and smaller still relative to the reputational cost of a brand safety failure that’s specific enough to attract press coverage rather than get lost in an aggregate waste number nobody outside the marketing team ever sees.
Free Playbook
The FSI Marketing Playbook covers building placement vetting standards suited to regulated and reputation-sensitive advertising, including the screening gaps this pattern exposes.
Get the FSI Marketing PlaybookMade-For-Advertising Sites: FAQ
Has the MFA problem been solved?
Substantially reduced at the industry-wide median level, but not solved for every advertiser or every placement. Top-quartile spenders on MFA domains still show meaningfully higher exposure than the median, and cases like the Forbes ghost site show reputable domains can still achieve MFA-style economics without tripping standard screening.
Do exclusion lists still matter if they can be circumvented?
Yes. Exclusion lists catch the large majority of conventional MFA inventory and are responsible for most of the aggregate improvement in industry benchmarks. They’re necessary but not sufficient on their own, which is a reason to add other screening, not a reason to drop them.
What’s the fastest way to check current exposure to MFA spend?
Request a domain-level breakdown of programmatic spend from your DSP or agency and compare it against known MFA characteristics: unusually high ad density, slideshow or paginated formats, and traffic sourced heavily through content recommendation networks rather than direct or search.
