For years, marketing operated under the following premise: first, the brand was built, then performance was activated, and the results came at the end of the funnel. This logic supported entire structures of agencies and internal teams, with a branding department on one side and a media department on the other, each reporting their own numbers.
Belén Bos, Country Manager of Rufus Social, argues that this division was never an accurate description of consumer behavior, but rather a consequence of how companies were organized internally. And in a platform environment where every creative element generates a measurable metric, that distinction has lost its operational meaning.
"The color of a banner affects the CTR, the tone of the CTA affects conversion, the emotion of a video affects how long someone watches it,"
she explains. At Rufus Social, they call this intersection brandformance: the idea that brand and performance have always been connected, only now there is the data infrastructure to prove it.
The data enters the creative process before the first idea
The deepest change lies in the point where the creative work starts. For a long time, data arrived at the end, as a verdict on whether a piece had worked. Today, when performance analysis is incorporated from the brief, creative teams begin with information on which formats generate attention in a specific audience and which messages have already shown resonance.
Belén describes this based on her work with Fintech brands like Stori and Ualá, where the performance of previous pieces is an active part of the brief for upcoming campaigns. The result is not that data replaces the creative idea, but rather enhances it from the beginning. And the cultural change this produces is equally important: creative teams stop operating solely on instinct, and data teams stop intervening only at the end of the process to issue a judgment.
This early intersection between information and creativity also exposes a problem that many brands still do not solve: producing content with the logic of being present, without a foundational work on what is sought to be generated in the consumer. Presence without intention translates, according to her, into volume without real business impact.
Scaling production without losing brand identity
The pressure to publish consistently on multiple platforms pushes many organizations to prioritize volume over consistency. For Belén Bos, speed is not the problem in itself. The risk arises when production is fast without a clear definition of tone, priority platforms, and type of content to activate. What does not manage to scale, she warns, is improvisation.
In the agency, this tension is resolved through an internal model called Creative Studio, designed to produce multiple creative variants adapted to each platform and objective without sacrificing identity. The logic behind it is not to find a single big idea, but to develop many solid ideas, measure their performance, and continuously optimize them.
Each piece that comes out of this process responds to three simultaneous filters:
- On Brand, which reinforces the brand identity;
- On Platform, adapted to the native language of each channel;
- On Trend, connected to what is happening culturally at the moment.
It is a straightforward standard to state and demanding to uphold in practice, but it functions as the mechanism that prevents scale from eroding brand value.
Regarding what makes a piece work in an environment where attention is measured in seconds, she identifies three elements: a hook that stops scrolling in the first second and a half, relevance that makes the audience feel the content is for them, and a suggested action without ambiguity. The absence of any of the three points to entertainment without any business effect.
That last point connects with a data point that Belén frequently uses to size up the weight of creativity within a campaign:
"75% of performance depends on creative materials, not on targeting or media budget."
Still, many organizations continue to not treat creativity as the strategic lever that it effectively is.
The scroll turned discovery into a buying point
The traditional sequence of the marketing funnel (awareness, consideration, conversion) assumed separate steps in time and space. That sequence no longer describes how a person behaves on TikTok or Reels, where discovery, desire, and purchase can occur within the same screen scroll.
This eliminates the possibility of holding brand content disconnected from performance. Each piece needs to be able to fulfill both functions at once because entertainment has become the direct gateway to conversion.
That same fragmented environment also redefines the value of mass audiences against like-minded communities. Belén, during the interview, suggests that this change has already been made: reaching millions of people with the expectation that some will convert loses effectiveness against smaller audiences that are deeply identified with a product. This translates into a selection criterion that prioritizes affinity over follower volume, because smaller, engaged communities tend to generate better acquisition costs, better return on advertising investment, and more attributed sales than wide, dispersed audiences.
This logic also marks the difference between a content strategy with sustained impact and one that only produces momentary noise.
The noise appears when each piece exists in isolation, without connection to a larger viewpoint.
The impact, on the other hand, requires consistency over time and across formats, as well as honesty about what is being measured.
"Optimizing solely for likes and views produces more likes and views, not necessarily business results."
Artificial intelligence: accelerates production, does not replace judgment
On the other hand, the incorporation of artificial intelligence in marketing has already brought about concrete operational transformations: research, ideation, generation of variants, performance analysis, and cultural adaptation of content, processes that previously took weeks are now resolved in hours.
The less visible change, according to Belén, occurs at the strategic layer: the ability of artificial intelligence to identify patterns in volumes of data that no human team could process alone, which begins to influence creative decisions before a single piece is produced.
What technology cannot replace, she argues, is the judgment of what story to tell, what emotional connection to build, and what stance to take regarding culture.
"Artificial intelligence amplifies what already exists: if a brand does not have a defined strategy, the result is amplified noise at greater speed."
That same reasoning applies to differentiation in a mass production scenario of content assisted by artificial intelligence. It suggests that technology can generate content in a practically unlimited way, but it cannot sustain a genuine viewpoint of the world. The brands that manage to differentiate themselves will be those that maintain a specific and consistent stance, and those that deeply understand the local cultural codes of each market, which cannot be generated from a model trained in a mass manner.
This leads to an open question about whether artificial intelligence elevates creativity or homogenizes it. Belén Bos responds that both scenarios are possible and depend on who uses the tool. In brands without a defined identity, technology tends to produce convergence: the same styles, the same narrative structures, a pattern that is already visible on any platform after an hour of scrolling. In brands with a solid identity that use artificial intelligence as an accelerator and not as a substitute for the creative team, the effect is the opposite: it raises the level of what is produced.
Leadership: connecting data, culture, and execution within the same reasoning
Marketing and creative leaders who remain relevant in the coming years will need three combined capabilities according to Belén: strategic thinking, cultural sensitivity, and technological fluency, understood not as knowing how to code but as understanding what each tool can do and when to rely on it.
"The biggest differentiator, however, will be the ability to integrate data, culture, and execution within the same reasoning,"
instead of dominating only one of those dimensions. This is complemented by a skill that is rarely named explicitly: the ability to convince an organization to bet on a strategy, regardless of whether it is correct on paper.
Building teams capable of evolving without losing strategic direction depends on a shared purpose that serves as a stable reference even when methods change. This is accompanied by a culture where experimenting and failing does not have a personal cost for the person who proposed the idea, and honest communication about what works and what doesn't, allowing teams to observe their own results with curiosity rather than fear.
The pending conversation: attention today, trust in the long term
The industry has developed notable sophistication to capture attention: frameworks, metrics, and complete budgets dedicated to understanding how to stop the scroll. While that happens, trust in brands continues to erode, and that trust is precisely what determines whether someone buys for the second time, recommends a brand, or defends it during a crisis.
The cost of that tension does not appear in the weekly report of a campaign, but it does manifest in the business in the medium and long term. The conversation that the industry is still not having is how to produce content that converts in the moment and also builds something that lasts over time.
Organizations that manage to resolve that dual demand, without getting trapped only in the logic of the algorithm, will have a sustained competitive advantage over those that only pursue the next peak of attention. In an environment where content production has stopped being the bottleneck, the real scarcity is in having something genuine to communicate and in sustaining it with the same discipline with which every click is currently measured.