Performance Max campaigns offered strong traffic generation and reach capabilities, but with a key limitation: the difficulty of precisely controlling the quality of the audiences reached.

This led to several operational and strategic challenges:

• Increase in low-quality traffic

• Lower conversion efficiency

• Difficulty in maintaining optimal ROAS levels as investment increased

This situation was further impacted by structural factors within the current digital landscape, such as signal loss and evolving privacy regulations, which reduce the ability to identify and segment audiences.

The main challenge, therefore, was: to increase investment and activity volume without compromising campaign efficiency, optimising traffic quality from the source.

To address the challenge, a strategy was implemented focused on improving the quality of the signals feeding Performance Max, with the aim of guiding the algorithm towards audiences with higher conversion intent.

The approach was based on a clear premise: performance depends directly on the quality of inputs.

The solution was structured around three main pillars:

Audience signal refinement

The signals in use were reviewed and refined, removing those that generated low-quality traffic and prioritising inputs based on real behaviour and intent.

Activation of qualified audiences

Audiences based on previous interactions and Google Ads data were incorporated, allowing impact on users with a higher likelihood of conversion without limiting scalability.

The implementation of the new strategy not only improved campaign performance, but also established a more efficient and sustainable growth model.

Thanks to signal and audience optimisation, Performance Max evolved from a volume-driven tool into a system capable of prioritising traffic quality and maximising the value of each interaction.

This translated into clear results:

• +57% ROAS, demonstrating a significant improvement in return on investment

• +9% CTR, reflecting higher ad relevance and stronger alignment with user intent

• +80% investment, proving the ability to scale the strategy without compromising efficiency
  

Beyond the metrics, the key shift was structural: Columbia was able to increase its investment while maintaining control over traffic quality, ensuring that growth remained directly linked to business outcomes.

In this sense, audience optimisation not only improved performance, but also made it possible to turn scaling into a strategic lever rather than a risk to profitability.