The Illusion of Efficiency: Why One-Platform Retargeting Isn’t Enough
As brands pursue efficiency through platform consolidation, many are unknowingly limiting growth. A diversified retargeting stack can improve performance, reduce dependency, and uncover audiences that single-platform strategies often miss.
In recent years, digital marketers have worked hard to simplify and optimise their supply paths for digital advertising. The marketplace had grown so complex and convoluted that advertisers often lacked the transparency they wanted around the performance of their media investments.
As a result, efficiency and supply path optimisation are now core concerns within any contemporary digital marketing strategy. The prevailing attitude has been to work with fewer platforms, partners, and variables, all streamlined into a unified, measurable omnichannel strategy.
In theory, this approach minimises waste, prevents duplication, and maximises return on investment. However, in practice, it has led to a consolidation of media buying within a handful of dominant platforms.
So what if, in reducing complexity, advertisers have also reduced opportunity? Today, there are signs that the pursuit of efficiency may have gone too far.
Playing with the Big Boys
As of late 2025, more than 80% of global digital ad spend flows through a small group of US tech giants. This concentration is the natural outcome of equating greater consolidation with greater control.
By centralising activity within one platform, marketers aim to limit ad fatigue and simplify campaign management. However, these apparent benefits come with several underlying limitations.
For example, while consolidation means that large platforms are laser-focused on a small number of users likely to generate attributed sales, this can be problematic for open web performance marketing.
In the retargeting space, for example, using only one solution, compared to a full stack, leads to “segment blackout”, where key groups of users are left untargeted or under-targeted. Original versions of AI, especially Machine Learning, amplify this issue by over-focusing on the user segments they know and love.
In reality, every algorithm has blind spots or prioritises certain signals more than others. Over time, this can create a performance ceiling, where incremental gains become impossible to achieve. Campaigns may appear successful on the surface, but growth hits a ceiling.
The Hidden Cost of Closed Ecosystems
This challenge is compounded by the nature of today’s “walled garden” environments. Large platforms operate within closed ecosystems, where data visibility is restricted, and external validation is limited.
Advertisers can see performance metrics, but often lack transparency into how those outcomes are generated.
As a result, we are seeing a structural dependency. Brands are no longer simply ‘using’ a platform; they become dependent on it and its definitions of success. At the same time, how your brand identifies audiences and allocates spend is limited by the platform’s constraints.
A challenger brand, for example, may miss entire segments that fall outside the platform’s optimisation model, passing up opportunities for growth. If all you ever do is look to known audiences, how do you ever uncover new ones?
Debunking the Competition Myth
Many advertisers assume that introducing multiple vendors could lead to reduced efficiency, as brands bid against themselves for the same users. However, this assumption oversimplifies how modern programmatic ecosystems actually function.
In reality, adding a second vendor does not result in inflated costs, especially when the second vendor is using different-in-kind underlying valuation technology. Auctions are dynamic, and algorithms are designed to respond to the real-world outcomes of these auctions.
When multiple vendors operate simultaneously but also independently, they do not blindly chase the same impressions. Instead, they adapt. Each system evaluates opportunities based on its own models and bids based on the exact value generated from showing the ad.
What’s created is a competitive environment that can actually improve efficiency. Instead of a single algorithm determining which impressions to pursue, multiple systems bring different perspectives to the table. This increases the likelihood of identifying high-value opportunities that might otherwise be overlooked.
It should also be noted that intersecting targeted users does not equate to waste. In many cases, it ensures that impressions are won at the right price. Different algorithms excel in different contexts. Some may be better at identifying early-stage intent, while others are more effective at converting high-intent users.
Most users require a substantial number of impressions or “touchpoints” across social, mobile, desktop, and video in order to move them from engaged shoppers to satisfied customers.
A properly defined “stack” maximises that forward motion, especially when the general environment is becoming more complex, more regulated, and more private.
Building Resilience in an Uncertain Landscape
The digital advertising landscape is inherently volatile, shaped by economic shifts, regulatory changes, and platform-level decisions. Over-reliance on a single provider massively amplifies these risks.
If performance declines or policies change within a dominant advertising ecosystem, single-sourcing advertisers have limited recourse to shift strategy. Channel diversification provides a buffer against disruption and ensures continuity in campaign performance.
The industry’s obsession with efficiency is understandable but flawed. True efficiency is not about doing less; it is about achieving more with the resources available. That, in turn, requires a broader perspective.
So what’s the takeaway? While consolidation may simplify operations, it can also constrain growth. Efficiency may create the illusion of effectiveness, yet the reality is that sustainable growth comes from balancing control with flexibility, precision with diversity, and optimisation with exploration.
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