By Mick Rigby, CEO and Founder, Yodel Mobile
For much of the digital advertising era, competitive advantage came from execution.
The brands that succeeded were often those with the strongest media buying teams, the most sophisticated targeting strategies, the fastest creative testing and iteration, or the deepest understanding of how individual platforms worked. Expertise was built around navigating complexity. Small advantages in execution could produce meaningful gains in performance.
Today, that dynamic is changing. With platforms such as Google and Meta increasingly automating campaign delivery through tools like Performance Max and Advantage+, tasks that once required specialist expertise are now handled by machine learning systems capable of making thousands of decisions in real time. Audience targeting, bidding, budget allocation, and optimisation are becoming increasingly automated, allowing marketers to achieve greater efficiency with less manual intervention.
While the efficiency gains of these automated systems are undeniable, campaign management has become faster, more scalable and, in many cases, more effective – these benefits come with a challenge. When everyone relies on the same tools and the same algorithms to reach the same audiences, differentiation becomes harder to achieve.
This is the beginning of what could be described as the great flattening of marketing.
When technology becomes a commodity
Automation was initially a competitive advantage because relatively few organisations had access to it or understood how to use it effectively, but that advantage narrows significantly as adoption becomes widespread, making the difference lie in how those tools are directed
Today, most brands have access to the same platforms. They are increasingly using the same optimisation systems, receiving similar recommendations, and pursuing comparable performance objectives. Because the technology itself is no longer the differentiator, it creates a form of standardisation that is often overlooked or not considered.
When campaigns are optimised by the same systems, success becomes less dependent on how media is delivered and more dependent on the quality of the thinking that sits behind it. That advantage surfaces through clearer strategic direction, sharper positioning, stronger messaging, more original creative thinking, and the expertise to guide AI with better inputs rather than simply accepting its outputs. Building more effective prompts, including looping systems, is another key differentiator.
So the important question is whether brands have something distinctive to say once those systems have delivered the audience.
Many marketers are discovering that automation can improve efficiency without improving originality. It can optimise distribution without creating differentiation, and accelerate activity without necessarily strengthening identity and as a result, brands risk becoming more and more interchangeable.
The industry has more data than ever, but less clarity
The great flattening is not being driven by automation alone.
It is also a consequence of how the industry has approached measurement and performance over the last decade. Marketers have access to more data, more dashboards, and more reporting tools than at any point in the industry’s history, yet many still struggle to answer a deceptively simple question: why are customers behaving the way they are? The real challenge is knowing which signals are worth following and which simply create more noise.
This creates a gap between information and understanding.
As privacy and regulatory changes continue to reshape measurement, attribution has become more fragmented and signals have become harder to access and interpret. This shifts competitive advantage away from collecting more user data and towards making better decisions with the data that remains. The expectation on marketers to process growing volumes of platform data across an expanding ecosystem of tools adds to this pressure.
This means that the organisations that succeed will be those that treat privacy constraints as a catalyst for better customer understanding, rather than simply another measurement challenge.
However, the result is that many organisations instead become exceptionally good at reporting, or even attempting to explain, what happened while remaining less certain about why it happened. This matters because insight, rather than information, is what drives differentiation.
Algorithms are highly effective at identifying patterns within existing datasets. They are less effective at uncovering the motivations, emotions, and behaviours that sit behind those patterns. They can tell marketers where performance is improving, but they are far less capable of explaining which human truth created that outcome in the first place. That gap is becoming increasingly valuable.
Why human thinking becomes more important as automation grows
There is a tendency to frame artificial intelligence as a replacement for human expertise. Whereas in reality, its rise may increase the value of human contribution. As execution becomes more automated, competitive advantage shifts elsewhere. Critical thinking, ceativity, judgement, curiosity, and the confidence to question the obvious path become more important because they are among the few areas that cannot be easily commoditised.
Algorithms excel at optimisation, designed to identify what is already working and make it more efficient. Genuine breakthroughs however, often emerge from a different process entirely. They come from challenging assumptions, connecting unrelated ideas, and exploring opportunities that sit outside established patterns. That kind of thinking rarely follows a predictable path.
The organisations that thrive in an increasingly automated environment are unlikely to be those that simply adopt the latest tools fastest. They will be the ones that ask better questions, develop deeper understanding of their customers, and create strategies that reflect real human behaviour rather than platform logic. This requires a broader perspective on performance: Growth does not come from optimisation alone. It comes from understanding how customer needs evolve, how products create value, and how brands build relevance over time.
Technology can support those decisions. It cannot make them on behalf of a business.
Distinctiveness becomes the last remaining advantage
The irony of modern marketing is that the more efficient campaign execution becomes, the more valuable distinctiveness becomes.
As automation spreads across the industry, technical advantages become increasingly difficult to sustain. Access to tools becomes universal. Best practices become widely shared. Execution becomes standardised.
What remains is strategy, creativity, and interpretation.
The brands that stand out over the next decade will not necessarily be those spending the most on automation, but the ones that understand their audiences more deeply, communicate more clearly, and develop ideas that competitors cannot easily replicate.
The great flattening is not a warning against technology. Automation will continue to play a critical role in marketing and its benefits are substantial. It is, however, a reminder that efficiency and differentiation are not the same thing.
Technology can help brands reach people with unprecedented precision. Deciding what makes those people care remains a fundamentally human challenge. In a world where everyone has access to the same algorithms, that challenge may become the most important competitive advantage of all.
