Peer39 has released a new report examining the limitations of applying web-based brand safety and suitability approaches to connected TV (CTV), arguing that incomplete program metadata can leave advertisers with less information about the content and traffic behind an impression.
The report, The Brand Safety Illusion: Why Web-Level Verification Doesn’t Travel to CTV, focuses on a fundamental difference between web and CTV advertising. On a webpage, verification systems can analyze surrounding page content and contextual signals. CTV inventory does not provide an equivalent page environment, leaving buyers more dependent on information transmitted through bid requests.
That information can include program title, genre and rating, but Peer39 says those fields may be incomplete, unavailable or self-declared.
CTV Verification Depends on the Signals Behind the Bid
Peer39’s findings highlight the potential gap between a brand-safety classification and the information used to generate it.
In one analysis, Peer39 compared bid requests associated with Man of Steel against authenticated information about the film. According to the company, none of the observed requests contained the complete set of genre and mood descriptors.
In 58% of the observed requests, only one genre—”Fantasy”—was supplied. Approximately 11% contained no content object at all.
For advertisers buying CTV programmatically, the distinction is significant. A classification indicating that inventory is suitable does not necessarily mean that a verification provider had access to comprehensive program-level information before making that determination.
The issue becomes particularly important as CTV buying increasingly depends on automated decision-making at the bid-request level.
Invalid Traffic Adds Another Verification Challenge
Peer39’s report also examines traffic quality alongside content suitability.
In a separate 45-day analysis of CTV placements, the company says 3.8% of impressions showed direct evidence of invalid traffic. Another 10.7% could not be confirmed as either valid or invalid using the available signals.
Those categories illustrate a broader measurement challenge for CTV: an impression that cannot be verified is different from one that has been positively verified as legitimate.
For advertisers and agencies, the distinction can affect how inventory is evaluated, filtered and priced. For publishers and supply platforms, it also increases the importance of providing sufficiently detailed and trustworthy supply-path information to downstream buyers.
Why Web Verification Does Not Directly Translate to CTV
Traditional web verification can inspect page-level context around an advertisement. CTV requires a different approach because the content environment is a program or stream rather than an individual webpage.
Program title, genre, rating and other metadata can therefore become important inputs for automated suitability decisions.
Peer39 argues that buyers should examine how those fields are sourced and whether the information has been authenticated. Its report also examines television and film ratings and how web-based suitability rules can produce misleading interpretations when applied to CTV genres.
This creates a distinction between classification and verification. A system can assign a category to an impression, but the usefulness of that category depends on the completeness and provenance of the underlying data.
Implications for Programmatic CTV
The findings come as advertisers increasingly use programmatic channels to access streaming television inventory. In this environment, content verification is becoming connected to the quality of the signals exchanged throughout the programmatic supply chain.
Authenticated content metadata could allow buyers to make suitability decisions before bidding rather than attempting to determine whether an impression was appropriate after delivery.
That approach could also help agencies establish clearer buying rules for sensitive categories, content adjacency and traffic quality.
For publishers and supply-side platforms, providing more complete program-level information may become an increasingly important part of making CTV inventory easier to evaluate and transact.
Market Landscape
CTV verification has evolved beyond basic audience measurement into a broader set of requirements covering content suitability, invalid traffic, program metadata and supply transparency.
The challenge is that CTV lacks many of the contextual signals that web verification systems historically relied upon. As a result, buyers increasingly need to understand not only the classification attached to an impression, but also which underlying signals were available when that classification was generated.
Peer39’s report adds to the industry discussion by separating authenticated information from incomplete or unavailable metadata and by highlighting the difference between verified traffic and traffic that cannot be conclusively assessed.
Strategic Outlook
The report points toward a more granular model of CTV verification in which buyers evaluate the provenance, completeness and timing of verification signals.
For programmatic CTV, the question is therefore shifting from whether an impression received a brand-safety label to what information supported that label and whether the available evidence was sufficient to make a buying decision.
As CTV supply becomes more fragmented across streaming services, publishers, SSPs and programmatic marketplaces, authenticated program and traffic signals could become increasingly important to advertisers seeking greater control over where their budgets are placed.
Top Insights
- Peer39 says web-based verification methods do not directly translate to CTV environments.
- The company found incomplete program metadata in its analysis of Man of Steel bid requests.
- Peer39 reported direct evidence of invalid traffic in 3.8% of impressions in a separate 45-day CTV analysis.
- Another 10.7% of impressions could not be confirmed as valid or invalid using available signals.
- Authenticated content and traffic signals can potentially give buyers more information before bidding.
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