The debate about the relative value of this reach versus attention has been a core theme of media strategy for several years. In partnership with AudienceProject and Lumen, we’ve explored this extensively, and our view is that Adult Reach, the industry’s default marketing metric, is a poor proxy for advertising effectiveness. Managed Access is better, and working on it produces meaningfully stronger business results.
Here is the reason.
Access is not equal in all AV areas
Before you argue that Adult Access is misleading, you need to understand why attention varies so dramatically across platforms. Numbers make it concrete. The average Meta feed placement is about one second of view time and a view completion rate of 1.6%. YouTube achieves a completion rate of 69%. TikTok views seem strong at 86%, but the average view time is still less than a second.
So when a media program counts Meta impressions and YouTube views as equal units of reach, it treats very different levels of cognitive engagement as the same thing. Long-form channels (Linear TV, CTV, and YouTube) generate steady attention because of how people consume them. Social media generates high frequency, deep exposure. Both have a role, but they’re not interchangeable, and a metric that behaves like that will steer your budget in the wrong direction.
Access to Seniors is compounding the problem
Adult Access 1+ doesn’t just ignore attention differences across platforms. It also ignores who is actually watching. The average Linear TV viewer is 63 years old, compared to 39 for YouTube and 47 for Amazon. If your target audience is Women 25 to 44, about half of the adults Linear reports to are outside that demographic entirely.
When campaigns are evaluated using Attentive Reach (reach is measured against a certain base population, adjusted for delivery costs), digital platforms like YouTube and Amazon often outperform Linear TV in ROI, even if Linear seems to win in the end. It’s a metric that you fine-tune to shape where your budget is going, and Senior Access always flatters areas that aren’t as efficient as they look.
When you configure Attentive Reach, commercial results follow
The above argument is structural. What makes it work is that you can achieve Attentive Reach in real time, not just in retrospect.
Atten-TV is Brainlabs’ AI-driven prediction framework for Linear TV. It imports attention data from Lumen and automatically reallocates investment to high attention areas. With the world’s leading beauty product, Atten-TV delivered a 6% improvement in attention performance between the first local program and the last program delivered. That change was associated with a 12% year-over-year increase in brand awareness, a 27% increase in consideration, and a 48% increase in purchase intent, along with a statistically significant 9% year-over-year increase in all store sales. Optimizing attention doesn’t just improve brand metrics. It delivers income.
What does this mean in practice
Shifting to a Focused Access Framework has implications beyond the way you measure it. Three are particularly worth flagging.
- Choosing a format is more important than is often shown in the brief. Non-skippable formats always generate higher attention indexes than skippy ones. In beauty industry testing, 15-second non-skippable assets improved brand search volume by 123%, while 10-second skip formats were the most cost-effective option for the same purpose. The format should follow the goal of attention, not the media budget.
- In social, creative exhaustion comes sooner than most programs think. The Meta curve reaches the curve much faster than YouTube, and the frequency is faster to decrease. Campaigns that used five or more creative variations per ad set showed a 4.3x performance difference compared to those that performed less. Circulating art is not an option in society. It is a device that keeps your attention from being eroded.
- Auto-targeting needs to be taken care of in upper funnel campaigns. Systems like Advantage+ promote access to the cheapest ideas available, which often means targeting smaller demographics than your target audience. For brand building campaigns where demographic accuracy is critical, manual controls outperform automated settings. Maintain Advantage+ for lower funnel traffic and conversion goals.
The correct answer is both, run differently
Attentional Access does not replace access as a goal. It rearranges the way you follow it. An access strand that optimizes Ad Recall delivers broad coverage at around £9 CPM, with around one second of average view time. The deep engagement thread that leverages ThruPlays extends the average view time to six seconds, over £21 CPM, with strong results for the bottom line. Running the two in tandem, with real-time attention data informing how budgets are moving between them, is a more secure configuration than either automation alone.
The transition from broad Adult Reach to a more sophisticated Attentive Reach model is where the real ROI opportunity in AV advertising resides. That’s why we built Atten-TV, a proprietary framework that dynamically allocates budget based on real-time attention signals. The question of strategy is missed or ignored. How accurately you can balance the two, and how your planning and reporting structures are designed to do so.
Evidence
1. Match Message and Medium: Long Form AV vs. Short Form Community
Lesson: Long-form AV channels (Linear TV and YouTube) are the most expensive places to drive deep attention, making them important for emotional or complex messages. Social media is best used for high level awareness and established, easy communication.
Evidence: Meta feed placement delivers low average view times (about 1 second) and very low 1.6% view to completion rate. In contrast, YouTube calls itself a 69% view to completion rate. Although platforms like TikTok have a high visibility (viewed by 86%), their average viewing time is always less than a second (0.9s), which makes them more expensive if the goal is deep attention.
2. Shifting from “Adult Reach” to “Attentional Reach” Unlocks Real ROI
Lesson: Traditional reporting based on broad “Adult 1+ Reach” metrics can obscure actual campaign performance and falsely position TV as the undisputed top player for all demographics.
Evidence: While Linear TV is creating the highest and fastest reach of all adults, its audience is shifting to older adults (average age 63). If the data is updated using Careful access relevant to the target demographic (eg, Women 25-44) and including the cost of delivery, digital channels such as YouTube and Amazon actually show a clearer and stronger ROI there is linear TV.
3. The Undeniable Value of Unskippable Ads
Lesson: For memorable results, non-skippable formats on YouTube are worth the investment over skippy alternatives.
Evidence: Lumen’s data proves that non-skippable ads consistently achieve higher attention levels compared to skip formats. Tom Ford’s exclusive test showed that Products that don’t skip 15 seconds not only led to more attention but improved product searches by 123%.. In contrast, skippable 10-second ads were identified as the least cost-effective option.
4. Chronic Fatigue is Real
Lesson: Meta is very accurate in reaching small audiences effectively, but campaigns can quickly fizzle out if mismanaged.
Evidence: Meta access curve plateaus much faster than YouTube due to high frequency and creative fatigue. To counter this, advertisers must refresh the creative more often or limit the length of the campaign. Additionally, buying with ‘Ad Recall’ saves a lot on raw reach (£9 per 1000 hits) but yields view times of just 1 second. Enabling ‘Thruplays’ increases average view time to 6 seconds but severely limits overall reach and increases costs to over £21. A balanced strategy using both the wide access strand and the Thruplay strand is recommended.
5. AI-Driven Targeting Trap in the Upper Funnel: Advantage+ Skews Reach
Lesson: Relying on Meta’s Audience Advantage+ automated top-of-funnel campaigns turns spending away from your core target audience.
Evidence: Testing across portfolios, especially within the fragrance campaign, revealed that the Advantage+ algorithm prioritizes delivering the cheapest impressions over maintaining audience accuracy. This caused the campaign to be skewed towards non-targeted people, such as 18-25 year olds, missing out on a key audience. As a result, the main recommendation is not to include Advantage+ targeting in high-profile future campaigns, reserving it for lower-funnel goals like traffic and conversions.
