Channel Factory, a company that places brand advertising on YouTube, streaming TV apps, Meta and TikTok according to the content it runs beside, is building xpln.ai's attention measurement into its campaigns. The two companies announced the partnership on November 10, 2026, in a release datelined New York.

According to Channel Factory, the deal joins xpln.ai's attention data, including a metric called Ideal Attention Time (IAT), with Channel Factory's "proprietary IQ series," so that advertisers can optimise for brand suitability and for attention at the same time. The release presents this as a way to close "the gap between an ad being viewable and an ad being watched and understood," and calls the arrangement "one of the most comprehensive attention measurement deployments in the industry to date." It offers nothing that would allow that claim to be checked: no campaign count, no impression volume and no list of markets.

The announcement ends on a sentence that promises more than it shows. The combination of the two companies' data, it says, "is already delivering significant results for advertisers." That is the last line of the body. No figure, client or campaign follows it.

In Short

Channel Factory, which buys ads for brands on YouTube, Meta, TikTok and TV streaming apps, will use xpln.ai's attention data to judge and steer where those ads run. That matters to advertisers who pay for ads that are technically on screen but not looked at, because it adds a second test, attention, to the existing check on whether a placement suits the brand. What changes in practice is not yet clear, since neither company has published results, prices, markets or how attention feeds into buying.

Two questions about one placement

Channel Factory's business is contextual advertising inside platforms it does not own. Its boilerplate describes proprietary AI and contextual targeting technologies that place ads "on brand-safe, contextually relevant content across YouTube, CTV platforms, and social media, including Meta and TikTok." The company says it has a presence in 54 countries across the Americas, Europe, the Middle East, Asia and ANZ, and that it provides "IAB standard category lists and customized content options in 50+ languages." It also describes a practice it calls "conscious media planning," aimed at sustainability, diversity and positive content.

YouTube has given the company a formal role. When the platform launched an activation partners programme in October 2025, Channel Factory was one of its four inaugural members, alongside MiQ Digital, Pixability and Zefr. PPC Land described Channel Factory's approach at the time as AI-powered contextual targeting that categorises YouTube content so that ads appear in relevant contexts.

What Channel Factory has sold until now answers one question about a placement: is the content right for this brand? xpln.ai adds a second: is anyone likely to pay attention to the ad there? According to the release, integrating xpln.ai's data into Channel Factory's "AI-powered content classification and smart bidding ecosystem" lets brands optimise toward environments that "not only align with their values but also deliver the specific level of attention required to drive business outcomes."

The phrase "smart bidding ecosystem" appears in lower case and describes Channel Factory's own systems. The release does not say how attention data enters a bid. It could serve as a filter before a campaign starts, as a bid adjustment while it runs, or as a report afterwards. All three are plausible readings, and the text supports none of them over the others. Nor does it say how many placements xpln.ai will score, although it promises "a precise, data-driven understanding of how attention is being generated across every placement."

On Channel Factory's side, the release names only an "IQ series." It does not list the products in that series or say which of them will carry xpln.ai's data.

Ideal Attention Time

The release calls IAT "newly launched." xpln.ai introduced it on July 8, 2026, four months before the Channel Factory deal.

According to xpln.ai's July announcement, IAT is a predictive metric that estimates how much attention a given video creative needs before audiences recognise the brand, identify the product and understand the message. It is designed for use before media money is committed. The company said its technology analyses every frame of a video and identifies about 50 visual, audio and contextual signals, among them brand presence, product visibility, on-screen text, faces, movement and calls to action. Those signals are calibrated against two years of human attention data from more than 20,000 panellists, according to xpln.ai, and results come back in minutes for YouTube, social platforms, CTV and the open web.

xpln.ai put one number on the problem at that launch. In campaigns evaluated through the IAT framework, it said, 75% of impressions did not generate enough attention for audiences to associate the advertised product with the brand. It gave no sample size, time period or market breakdown, and the Channel Factory release does not repeat the number.

IAT measures something different from the output xpln.ai is better known for. When Index Exchange embedded xpln.ai's attention signals in its supply-side platform in February, the attention KPI was a property of the impression: xpln.ai captures between 20 and 25 exposure signals for each impression, including share of screen and time fully in view, and machine learning models trained on eye-tracking data combine them into a single predictive score. IAT, by contrast, is a property of the creative. The Channel Factory pairing is meant to match the two - a creative that needs a certain amount of attention, placed where that amount is likely to be delivered.

Fabien Magalon, chief executive and co-founder of xpln.ai, put it in those terms. "Attention is a critical signal in advertising, but knowing how much attention a specific creative actually needs to succeed is the missing link," he said. "By partnering with Channel Factory, we are connecting our IAT metric with their industry-leading contextual targeting and brand suitability solutions." The aim, he said, is for each creative to run in the environment where it has "the greatest opportunity to capture the necessary attention and drive real impact."

Beyond viewability

Dave Hompe, global head of operations and partnerships at Channel Factory, set the deal against the industry's oldest quality check. "Measurement has always been central to how we help advertisers understand and improve performance," he said. "Integrating xpln.ai's attention measurement technology allows our clients to move beyond basic viewability. Together, we are providing a comprehensive solution that maximizes both the efficiency of media spend and the effectiveness of the creative."

Viewability is a low bar by design. Under the Media Rating Council standard, a display ad counts as viewable when at least half of its pixels are on screen for one continuous second, and a video ad when half its pixels are on screen for two continuous seconds. The standard says nothing about whether anyone looked. Attention metrics try to fill that gap, usually by training models on eye-tracking panels and applying the predictions to impressions at scale.

The release goes a step further, describing the target as an ad "watched and understood." Understanding is a stronger claim than attention. Attention products generally estimate whether, and for how long, an ad was looked at; whether the message landed is usually tested separately, through brand lift surveys. IAT, as xpln.ai described it in July, models the attention a creative needs for recognition and comprehension. The release presents no evidence that the combined product measures comprehension itself.

The Media Rating Council has been careful on this point. The attention measurement guidelines it finalised with the IAB in November 2025 treat attention as exposure and engagement data, and say it should not be used as a measure of outcomes when campaign performance is evaluated. The Channel Factory release, for its part, speaks of the attention "required to drive business outcomes." Neither company says whether xpln.ai's measurement has been audited against the guidelines.

Inside the walled gardens

The harder question is mechanical. Channel Factory works inside walled gardens: YouTube, Meta and TikTok decide which outside vendors may measure ads on their properties and what data those vendors receive. xpln.ai's attention score, as PPC Land described it in February, relies on exposure signals collected for each impression. The release does not explain where those signals come from inside YouTube, Meta or TikTok, whether xpln.ai has direct measurement access on those platforms, or whether attention for a walled-garden placement is predicted from the creative and the surrounding content rather than observed impression by impression.

xpln.ai's own descriptions lean toward modelling. When it partnered with TVision in April, TVision's second-by-second, person-level CTV data from a panel of 5,000 US households became a calibration input for xpln.ai's CTV models, part of an effort to build one attention framework across CTV, social, YouTube and the open web. A page in the resources section of Channel Factory's website, dated November 19, 2025, describes xpln.ai as measuring attention across screens, including CTV, through a combination of controlled lab tests and webcam-based data collection.

That page also suggests the relationship between the two companies is older than this month's announcement. It discusses xpln.ai's measurement in the context of Channel Factory's work a year before the formal partnership, and credits Channel Factory with a 28% uplift in YouTube performance for a Wilkinson Sword Intuition campaign. It does not define performance, give a sample size or say whether xpln.ai was involved in that figure. Parts of the page refer to planning for 2026, so the date shown may be the original publication date rather than the latest revision.

Attention is not new territory for Channel Factory either. In September 2023, it published a study with Playground xyz, an attention company that trains its models on eye-tracking data, covering 76 YouTube campaigns across eight verticals and 110 executions. According to Channel Factory, its contextually targeted campaigns produced 28% more attention than industry benchmarks, on average more than one additional second per placement, and nearly 70% more for skippable ads. The metric in that study was attention time, the number of seconds an ad is actually looked at. The new release does not refer to the 2023 study.

A year of distribution for xpln.ai

For xpln.ai, which was founded in Paris and launched in the United States in January 2026 with Gina Cavallo as chief revenue officer, the Channel Factory deal extends a run of partnerships that PPC Land has followed through the year.

In February, Index Exchange made xpln.ai's attention segments available for pre-bid targeting. In April, the TVision deal brought in panel-based CTV data. In June, Mobkoi and xpln.ai said more than one billion impressions had been measured across Mobkoi's mobile inventory in the previous 12 months, with average attention above 5.5 seconds. And on October 27, AudienceProject added xpln.ai's attention data to its cross-media reach studies in nine European markets, producing a figure the two companies call deduplicated attentive reach.

Each deal puts the same attention model in a different seat. Index Exchange sells open-web inventory. Mobkoi packages mobile placements. AudienceProject judges a media plan after the fact. Channel Factory buys and curates inside platforms that keep most of their data to themselves. Among the partnerships PPC Land has covered, it is the first in which xpln.ai's scores are meant to steer spending on YouTube, Meta and TikTok directly.

What the announcement leaves open

Several questions that would matter to an advertiser weighing the offer go unanswered.

Results. The release says the combination "is already delivering significant results for advertisers" and stops there. There are no lift figures, no cost comparisons and no named brands.

Platforms and markets. Channel Factory's 54 countries and four platform families describe the company, not the integration. The release does not say whether xpln.ai's data is live on YouTube only, or on Meta, TikTok and CTV as well, or in which countries.

Mechanism. It is not stated whether IAT is used to choose creatives before a campaign, whether placement-level attention changes bids during it, or both.

Validation. Neither company mentions an audit or accreditation of the combined product.

Commercial terms. No price is given, and the release does not say whether attention optimisation is included in Channel Factory's existing fees or sold separately.

Why attention has become a buying signal

The deal lands as attention scores move from reports into buying controls. Google put Adelaide's Attention Units into DV360 custom bidding from mid-July 2026, either through a ready-made algorithm or as a multiplier in advertisers' own scripts. On November 3, Teads let advertisers set an Adelaide AU floor in Teads Ad Manager that filters out lower-scoring placements automatically. Earlier evidence came from an EssenceMediacom France test run in DV360 in July 2024, which reported CPMs 7.3% lower than standard automated bidding when attention signals were used.

YouTube is where the stakes are plainest for a company like Channel Factory. The VAB and TVision study published in February, The Impression Gap, placed YouTube behind 21 premium streaming platforms on every CTV metric it tracked, with an attention-to-presence index of 95 against 108 and average sessions of 52 minutes against 1 hour 18 minutes. Averages of that kind hide wide variation between channels and videos. Finding the attentive pockets inside YouTube, and avoiding the rest, is the job contextual curators now say they can do with attention data.

Research also complicates the single-placement view. Lumen, Amazon Ads and Cint reported in October that purchase intent moved only after a median of 47 seconds of attention summed across impressions, in a study of 270 cross-media campaigns. IAT, as xpln.ai describes it, works at the level of one creative and the attention that creative needs. Whether that attention must be won in a single placement, or can build up across many, is a question the release does not take up.

Standards remain partial. Besides the MRC and IAB guidelines, IAB Polska, SCMP and POR in Poland set up a working group in September 2025 to agree common attention definitions, metrics and billing models. The VAB's engagement guide in July 2026 named nine vendors across three approaches, from in-home biometrics to lab testing. xpln.ai was not among them.

For brands that already rely on Channel Factory to decide where their video runs on YouTube and social platforms, the partnership adds a second criterion to that decision. Will it move money? That depends on how attention is weighed against suitability and reach, and on evidence neither company has yet put on the table.

Timeline

Summary

Who: Channel Factory, a contextual advertising and brand suitability company that buys and places ads on YouTube, CTV platforms, Meta and TikTok in 54 countries, and xpln.ai, an attention measurement company founded in Paris. Dave Hompe, global head of operations and partnerships at Channel Factory, and Fabien Magalon, chief executive and co-founder of xpln.ai, are quoted.

What: A partnership under which Channel Factory integrates xpln.ai's attention measurement, including the Ideal Attention Time metric that estimates how much attention a creative needs, into its campaigns and its proprietary IQ series. The stated goal is to optimise for brand suitability and attention together. The release claims "significant results" but gives no figures, markets, prices or method.

When: Announced on November 10, 2026. IAT itself was introduced by xpln.ai on July 8, 2026, and a Channel Factory web page dated November 19, 2025, already discusses xpln.ai's measurement.

Where: The release is datelined New York. It does not say in which of Channel Factory's 54 countries, or on which platforms, the integration is live.

Why: Viewability standards only confirm that an ad was on screen, and advertisers increasingly want to know whether it was looked at. Attention scores are moving into bidding and placement filters across DSPs and SSPs, and this deal brings them into curated buying inside walled gardens. How much it changes spending depends on details neither company has published.