The debate regarding the relative value of reach versus attention has been a central theme in media strategy for several years. In partnership with AudienceProject and Lumen, we’ve tested this extensively, and our view is that Adult Reach, the industry’s default planning metric, is a poor proxy for advertising effectiveness. Attentive Reach is a better one, and optimizing toward it produces meaningfully stronger commercial outcomes.
Here’s why.
Reach isn’t equal across AV environments
Before you can argue that Adult Reach misleads you, you need to understand why attention varies so dramatically across platforms. The numbers make it concrete. Meta feed placements average around one second of view time and a 1.6% view-to-completion rate. YouTube achieves a 69% completion rate. TikTok’s viewability looks strong at 86%, but average view time is still under a second.
So when a media plan counts a Meta impression and a YouTube view as equivalent units of reach, it’s treating fundamentally different levels of cognitive engagement as the same thing. Long-form channels (Linear TV, CTV, and YouTube) generate sustained attention because of how people use them. Social platforms generate high-frequency, low-depth exposure. Both have a role, but they are not interchangeable, and a metric that treats them as such will steer your budget in the wrong direction.
Adult Reach compounds the problem
Adult 1+ Reach doesn’t just ignore attention differences across platforms. It also ignores who’s actually watching. The average Linear TV viewer is 63 years old, compared to 39 on YouTube and 47 on Amazon. If your target is Women 25 to 44, roughly half the adults you’re reporting on for Linear fall outside that demographic entirely.
When campaigns are re-evaluated using Attentive Reach (reach measured against a specific core demographic, adjusted for delivery cost), digital platforms like YouTube and Amazon frequently outperform Linear TV on ROI, even when Linear appears to win on total reach. The metric you optimize for shapes where your budget goes, and Adult Reach consistently flatters environments that are less efficient than they look.
When you optimize for Attentive Reach, commercial outcomes follow
The argument above is structural. What makes it actionable is that you can optimize toward Attentive Reach in real time, not just in hindsight.
Atten-TV is Brainlabs’ AI-driven predictive modeling framework for Linear TV. It ingests attention data from Lumen and automatically reallocates investment toward high-attention spots. For a leading global beauty brand, Atten-TV delivered a 6% improvement in attention performance between the initial spot plan and the final delivered plan. That shift correlated with a 12% year-on-year increase in brand awareness, a 27% increase in consideration, and a 48% increase in purchase intent, as well as a statistically significant 9% year-on-year increase in total retail sales. Optimizing for attention doesn’t just improve brand metrics. It moves revenue.
What this means in practice
Shifting to an Attentive Reach framework has implications beyond how you measure. Three are worth flagging specifically.
- Format selection matters more than most briefs reflect. Non-skippable formats consistently generate higher attention indices than skippable alternatives. In a luxury beauty sector test, 15-second non-skippable assets drove a 123% lift in product search volume, while 10-second skippable formats were the least cost-efficient option for the same objective. Format should follow the attention goal, not the media budget.
- On social, creative fatigue arrives faster than most plans account for. Meta’s reach curve plateaus significantly faster than YouTube’s, and frequency accelerates the decline. Campaigns running five or more creative variants per ad set showed a 4.3x performance variance compared to those running fewer. Rotating creative isn’t optional on social. It’s the mechanism that keeps attentive reach from eroding.
- Automated targeting requires care in upper-funnel campaigns. Systems like Advantage+ optimize toward the cheapest available impressions, which often means drifting toward younger demographics rather than your intended audience. For brand-building campaigns where demographic precision matters, manual controls outperform automated optimization. Reserve Advantage+ for lower-funnel traffic and conversion objectives.
The right answer is both, run differently
Attentive Reach doesn’t replace reach as an objective. It reframes how you pursue it. A reach strand optimizing for Ad Recall delivers broad coverage at around £9 CPM, with roughly one second of average view time. A deep-engagement strand optimizing for ThruPlays extends average view time to around six seconds, at over £21 CPM, with stronger downstream brand effects. Running both in parallel, with real-time attention data informing how budget moves between them, is a more defensible configuration than defaulting to either alone.
The transition from broad Adult Reach to a more sophisticated Attentive Reach model is where the real ROI opportunity in AV advertising sits. It’s why we built Atten-TV, a proprietary framework that dynamically allocates budget based on real-time attention signals. The strategic question isn’t reach or attention. It’s how precisely you can calibrate the two, and whether your planning and reporting frameworks are built to do that.
Evidence
1. Match the Message to the Medium: Long-Form AV vs. Short-Form Social
The Learning: Long-form AV channels (Linear TV and YouTube) are the most cost-effective environments for driving deep attention, making them essential for emotive or complex messages. Social platforms are better utilized for top-of-mind awareness and established, simple communications.
The Evidence: Meta feed placements deliver low average view times (around 1 second) and a starkly low 1.6% view-to-completion rate. In contrast, YouTube boasts a 69% view-to-completion rate. Even though platforms like TikTok have high viewability (86% viewed), their average view time remains less than a second (0.9s), making them highly expensive if the goal is deep attention.
2. The Shift from “Adult Reach” to “Attentive Reach” Unlocks True ROI
The Learning: Traditional reporting based on broad “Adult 1+ Reach” metrics can obscure true campaign effectiveness and falsely position TV as the undisputed top performer for all demographics.
The Evidence: While Linear TV builds the highest and fastest reach against all adults, its audience heavily skews older (average age of 63). When the data is re-evaluated using Attentive Reach tailored to a core target demographic (e.g., Women 25-44) and factoring in the cost of delivery, digital channels like YouTube and Amazon actually demonstrate a much clearer and stronger ROI than linear TV.
3. The Undeniable Value of Non-Skippable Ads
The Learning: For driving memorable outcomes, non-skippable formats on YouTube are worth the investment over skippable alternatives.
The Evidence: Lumen data proves that non-skippable ads consistently achieve higher attention levels compared to skippable formats. A specific test run for a luxury fragrance campaign showed that 15-second non-skippable assets not only led in attention but drove a massive 123% lift in product searches. Conversely, 10-second skippable ads were identified as the least effective option for cost efficiency.
4. Creative Fatigue is Real
The Learning: Meta is highly precise at reaching younger audiences efficiently, but campaigns burn out quickly if not managed well.
The Evidence: Meta’s reach curve plateaus significantly faster than YouTube’s due to high frequency and creative fatigue. To counter this, advertisers must refresh creative more frequently or limit campaign lengths. Additionally, buying on ‘Ad Recall’ is highly cost-efficient for raw reach (£9 per 1000 reached) but yields view times of just 1 second. Optimizing for ‘Thruplays’ increases the average view time to 6 seconds but severely restricts overall reach and increases costs to over £21. A balanced strategy employing both a broad reach strand and a Thruplay strand is recommended.
5. The Pitfall of AI-Driven Targeting in the Upper Funnel: Advantage+ Skews Reach
The Learning: Relying on Meta’s automated Advantage+ audiences for upper-funnel campaigns actively diverts spend away from your intended core target audience.
The Evidence: Testing across the portfolio, specifically within a luxury fragrance campaign, revealed that the Advantage+ algorithm prioritizes delivering the absolute cheapest impressions over maintaining audience precision. This caused the campaign to skew towards unintended demographics, such as 18-25-year-olds, missing the core audience. Consequently, the primary recommendation is to exclude Advantage+ targeting from future upper-funnel campaigns, reserving it strictly for lower-funnel objectives like traffic and conversions.
