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CTV Buying: Program-Level Targeting for Enhanced Transparency and ROI

CTV Buying: Program-Level Targeting for Enhanced Transparency and ROI

The Definitive Guide to Programmatic CTV Buying: Program-Level Targeting for Enhanced Transparency and ROI

 

The New Standard for CTV

The shift in advertising budgets from linear TV to streaming has exposed a critical lack of transparency in programmatic Connected TV (CTV) buying. Peer39 addresses this by providing an environmental truth layer that moves past limited app-level targeting. This guide details how CTV program-level targeting—leveraging verified Content IDs and Peer39 IDs—enables advertisers to achieve granular control, avoid wasted spend on Fake Content, and optimize campaigns using transparent metrics like the CTV Quality Score. This approach is the essential new standard for maximizing Return on Investment (ROI) and building trust in programmatic CTV.

The State of Programmatic CTV Transparency

The central challenge in modern streaming is that the channel has scaled faster than the signal layer needed to describe it. Unlike typical digital environments where buyers expect granular data, a substantial portion of impressions labeled as premium in CTV are actually served in non-streaming environments.

The Hidden Cost of Fake Content

Without specific pre-bid controls, ads frequently run on what Peer39 defines as Fake Content. This high-risk category includes non-human or non-viewable environments, such as:

  • Ad-supported screensavers and wallpapers.
  • Mobile apps that incorrectly pose as CTV devices.
  • White noise generators and static photo widgets.
  • Casting, beaming, and generic media players.

Peer39 data shows that without proper suitability controls, an average of 25.2% of all CTV bid requests and nearly 7% of ads run on this fake content. This results in billions of wasted ad dollars on environments that have zero chance of driving meaningful attention or engagement.

Moving Beyond App-Level Targeting

The initial era of CTV buying relied on broad app-level classifications. For example, targeting an entire "Entertainment" app. The limitation is that many major apps host a massive variety of content (news, sports, sitcoms, reality TV) under one roof.

If an advertiser wants to avoid controversial news but still reach the audience for live sports, app-level controls force them to block the entire platform, which severely limits scale and reach. Program-level targeting is the essential solution, allowing for a surgical approach that removes the need for broad, campaign-limiting blocks.

What is CTV Program-Level Targeting?

CTV program-level targeting moves control beyond the app and focuses on the specific show or movie being watched. This allows buyers to target or exclude content based on the actual programming, even when it is distributed across thousands of different channels and services.

How Content IDs and Authenticated Data Drive Trust

This precision is powered by Content IDs, created by numerous companies as a way to maintain simple identifiers. Publishers pass these unique identifiers through their ad servers into the bidstream. Peer39 then normalizes these IDs, associates them with specific programming data, and independently authenticates them, preventing reliance on self-declared publisher metadata.

To ensure maximum trust, Peer39 partners with select publishers who transparently signal their content through this system. Peer39's data and relationships with these partners give buyers the assurance that they are purchasing authentic, high-quality programming that is "spoof-proof."

This partnership approach also reduces the friction of managing numerous individual deal IDs.

Achieving Precision: Custom CTV Keywords for Granular Control

One of the most powerful advancements in program-level controls is the introduction of custom CTV keywords. This brings the granular, intent-based logic advertisers use in search and display to streaming video.Data Points for Keyword Targeting

Advertisers can build custom categories for targeting or exclusion based on several contextual inputs:

  1. Plot Summaries and Descriptions: Target specific themes or topics mentioned in the show's synopsis (e.g., a travel brand targeting the keywords vacation or specific destinations).
  2. Actor and Director Names: Reach fans of specific talent to create a stronger brand connection with a spokesperson or celebrity.
  3. Sports Teams and Venues: Target specific matchups, leagues, or stadiums (e.g., a beverage brand targeting all games played at a specific arena).

Scaling Without Overblocking: This keyword approach focuses on content-level precision rather than specific show titles, which prevents "cherry picking" and ensures buyers can find their perfect audience across the 200,000+ available streaming shows without sacrificing campaign scale.

Brand Suitability and Safety: The Complete Pre-Bid Suite

Safety in CTV extends beyond avoiding simply "bad" content; it is about ensuring alignment with a specific brand's values. Peer39 provides a comprehensive suite of pre-bid categories built specifically for the unique streaming environment.

Essential "Safe From" Categories

Advertisers can apply Safe From segments to automatically avoid content that does not align with their brand's suitability guidelines:

  • Divisive News: Content that may be too controversial for certain brands.
  • Unprofessional Content: Includes low-quality productions or user-generated content (UGC).
  • Sensitive Content: A broad category covering adult themes, crime, or other high-risk environments.
  • Kids Content: Essential for brands avoiding children's audiences due to regulatory or strategic reasons.
  • Safe from Fake Content: The critical category that prevents ads from running on non-streaming environments (screensavers, mobile apps) that should never serve a CTV ad.

The Benefits for ROI: By applying these Brand Safety pre-bid segments, clients have seen significant benefits, including up to a 50 percent decrease in invalid traffic, ensuring every impression is served in a verified, high-quality environment.

Measuring Value: The Quality and Attention Suite

Understanding where an ad ran is the first step; optimizing requires understanding placement quality and audience attention. Peer39 offers distinct metrics to deliver this insight.

Peer39's CTV Quality Score (0-100)

The CTV Quality Score is a single, comprehensive metric ranging from 0 to 100, designed to simplify complex data and facilitate real-time campaign optimization. The score is a weighted blend of six key reporting dimensions:

  1. Completion Rate: The percentage of viewers who watched the ad to the end.
  2. Verified Valid Channels: Ensuring the ad ran on a recognized, legitimate network.
  3. Sensitive Content: Checking for proximity to high-risk themes.
  4. User Generated / Unprofessional Content: Identifying low-quality environments.
  5. Fake Content: Detecting non-streaming sources like screensavers, mobile apps, or games.
  6. Overnight Impressions: Monitoring for ads running during hours where human viewership is typically lower.

The CTV Attention metric complements the Quality Score by focusing specifically on engagement. It combines environmental quality signals (like the presence of Fake Content) with engagement factors (like completion rates and content quality) to give advertisers a complete picture of campaign effectiveness.

Solving the Spoofing Problem with Peer39 IDs

Fraud in CTV frequently occurs as spoofing, where a fraudulent app or reseller misrepresents low-quality traffic as premium CTV inventory. Since traditional Bundle IDs are static and easy to copy, industry estimates suggest invalid traffic accounts for 10% to 20% of CTV.

Peer39 solves this problem through the use of authentication, with bid requests including a unique ID, confirming the programming is authenticated. This mechanism prevents buyers from bidding on spoofed inventory, ensuring that only authenticated programming provides the correct signal.

This "spoof proof" solution gives publishers their rightful revenue and gives buyers the confidence that they are getting exactly what they paid for.

Strategic Implementation and Optimization for Program-Level Success

To maximize the benefits of CTV program-level targeting, advertisers should follow a structured approach.

Activating Program-Level Controls in Your DSP

Peer39 solutions are available across all major buying platforms, including Basis, The Trade Desk, Deepintent, Illumin, Index Exchange, MediaMath, and Microsoft.

The Logical Approach: When setting up a campaign, make sure app-level categories and program-level controls are using OR Boolean logic if you're using them in tandem.. This guarantees maximum reach while still applying granular controls wherever the verified data is available.

Using the Analytics Dashboard for Real-Time Optimization

Data is only valuable when it leads to action. The Peer39 Analytics Dashboard provides post-campaign insights that allow buyers to fine-tune their strategies.

Buyers can:

  • Immediately realize if their ads have been running on screensavers or mobile apps and update pre-bid filters to exclude those non-streaming environments.
  • Use low completion-rate reporting to spot poor performance, indicating a placement is unsuitable or the audience is unengaged.

Conclusion: The Transparent Future of CTV Programmatic Advertising

As CTV secures its position as the dominant screen for digital advertising, the industry must prioritize transparency and accountability. CTV program-level targeting provides the definitive foundation for this future. By shifting from broad app guesses to authenticated program-level truth, Peer39 enables advertisers to protect their budgets, allows agencies to defend their value proposition, and ensures publishers are fairly rewarded for their high-quality content.

Metrics like the CTV Quality Score and the formalization of Authenticated CTV signals a new era of accountability for everyone in the programmatic CTV ecosystem.

For more information, download the Peer39 Truths report on How Transparency in CTV is Dragging Down Performance.

 

 

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