The attention business model’s days are numbered

The convenient narrative about digital advertising is that it has survived every threat before it — from pop-up blockers to Do Not Track — and it will survive this one, too. This narrative ignores something that previous waves did not: multiple forces converging at the same time, each of them attacking a different layer of the infrastructure that supports the model. What is happening now is not an isolated pressure that can be overcome with a technical solution. It is the simultaneous erosion of the foundations.

How the model works, and why it matters

The attention economy operates on a cycle that is simple on the surface but intricate in execution. Platforms capture behavior — what you click on, how long you spend on each piece of content, what you search for, who you interact with, what time you wake up. This behavior is processed to build psychographic profiles that go far beyond basic demographic data. Profiles are sold in the form of segmented attention: advertisers don't buy space, they buy access to specific mental states of specific groups of people at specific times.

What makes this model powerful — and what also makes it fragile — is the total dependence on behavioral data collected without the user knowing what is being captured, cross-referenced and inferred. When this collection is restricted for any reason, profile accuracy drops, CPMs drop along with it, and the value proposition for the advertiser weakens. The platform needs to compensate with volume — more users, more screen time, more content consumed — which explains the deliberately addictive design that has generated lawsuits in several countries.

The forces that are corroding the base

Regulation was the first front. The European GDPR, in force since 2018, created case law that limited browser tracking practices and forced changes to consent systems. The LGPD in Brazil followed the same path, with enforcement that gained consistency in the last two years. The result was not the extinction of digital advertising, but an increase in the cost of compliance and, more importantly, the creation of a legal environment in which the most invasive practices now carry a concrete risk of fines.

The second front was infrastructure. Apple implemented App Tracking Transparency in 2021 and structurally changed platforms' ability to track users across iOS apps. The impact on Meta was documented and brutal: the company estimated a $10 billion loss in advertising revenue in the first year after the change. Safari has been blocking third-party cookies since 2020. Chrome, after years of delays, is implementing its own restrictions. Cross-site tracking — which is the personalization engine of programmatic advertising — is being systematically dismantled by the infrastructure of browsers and operating systems.

The third front is behavioral. Users who grew up with the internet are developing advertising literacy that previous generations did not have. Installation of ad blockers reached more than 40% of desktop users in several European markets. Distrust of platforms that "listen to conversations" — a perception that persists even when technical evidence is ambiguous — reflects a level of skepticism that did not exist during the growth phase of the attention economy.

What advertisers are already doing

The movement towards diversifying advertising investment is measurable. Budgets that previously went exclusively to performance advertising on social media platforms are being redistributed to channels with less reliance on third-party data: search (which uses stated intent, not behavioral inference), sponsored content in publications with specific vertical audiences, and proprietary channels like newsletters and podcasts.

The concept of first-party data — data that the brand itself collects directly from its relationship with its customers — has become a strategic priority for companies that have realized the vulnerability of completely depending on data from external platforms. Those who have their own registration, purchase history and direct relationship with the customer are less exposed to regulatory volatility than those who have completely outsourced this knowledge to Google and Meta.

The models that are gaining ground

Replacement is not monolithic — there is no single model that will fill the space that behavioral advertising leaves behind. The transition is happening in layers.

Subscriptions have grown as an alternative to advertising funding. Substack, Spotify, Netflix, and the newsletter market itself show that there is a real willingness to pay for content when the value proposition is clear and the advertising experience is eliminated. It is no coincidence that the most significant growth in digital subscriptions coincided with the period of greatest saturation and advertising invasiveness.

Contextual advertising — which displays ads based on the content the user is consuming, not on the accumulated behavioral profile — has once again gained investment. Technically simpler, less dependent on third-party data, and proven effective for certain product categories, it represents a partial return to the traditional media advertising model, but with the content targeting capacity that digital offers.

Commerce media — retail platforms that sell advertising space based on first-party purchasing data — is growing rapidly. Amazon, Mercado Livre and physical retail chains with loyalty programs have purchase data that is legally obtained, contextually relevant and less vulnerable to cross-site tracking regulation.

What changes for those who produce digital content

The transition away from this model puts particular pressure on content producers who have built revenue almost exclusively on display and pre-roll CPM. Digital journalism was the first to feel this pressure, but niche publishers, video creators and content site operators are on the same trajectory.

The viable answer is not to wait for the advertising market to stabilize. It means building multiple sources of income before the main one deteriorates to the point of making the operation unfeasible. This means developing a proprietary audience — email list, community, direct relationships — rather than relying on organic reach from platforms that change algorithms and monetization policies without warning. It means creating information products that have enough value to justify direct payment. It means treating the relationship with the audience as an asset, not as a byproduct of content production.