For many years, digital marketing was based on a simple logic: whatever a user clicked on, visited or purchased could be linked to a campaign. Today, this logic still measures direct response effectively, but it does not necessarily explain the full impact of communication. An increasing number of important interactions with a brand happen without the user clicking an ad or visiting its website.

A few years ago, artificial intelligence was a topic reserved for industry conferences and futuristic predictions. Today, it is part of everyday business reality. Marketing teams use it to create content, analyse data, optimise campaigns and automate processes.

Yet at the very moment when technology has become accessible to everyone, the biggest differences between organisations are beginning to emerge.

In the blog “Artificial Intelligence Is Restoring the Value of Premium Media,” Nejc Lepen explains how artificial intelligence is reshaping the digital media landscape and why trust is becoming one of the key values of the digital environment. It is equally important to understand how and why this shift has a direct impact on advertising.

As users increasingly trust verified media sources, then the environment in which an ad appears plays a significant role in how they perceive a brand.

The digital media landscape is evolving rapidly. Artificial intelligence is transforming how content is created, how information is accessed, and how companies communicate with their audiences. In recent years, much of the digital industry has followed a simple logic: more content means more traffic, and more traffic means more ad impressions. As a result, many digital media outlets have built their strategies around content volume.

Digital campaign results are often not weaker because of a flawed strategy, but because of incomplete data signals. When advertising platforms do not receive all conversions, algorithms optimize based on a partial view. This leads to misguided decisions: budgets are reduced where campaigns are actually performing and increased where the signal presents a distorted picture. The key to stable optimization is therefore not more data, but accurate, consistent, and connected signals.

Programmatic advertising trends for 2026 point to the need for data-driven strategies based on data consolidation and the management of first-party data.

In a fragmented digital environment, traditional identifiers are losing reliability, meaning that mere presence across multiple channels is no longer sufficient. The key challenge in marketing has become the coordination of all user touchpoints, as siloed channel activities lead to audience overlap, inefficient budget allocation, and communication that appears effective but fails to deliver real impact. The answer to this challenge lies in multichannel orchestration, which is grounded in an understanding of user journeys and the role of each touchpoint in achieving business objectives.

Simon Cetin, a partner at iPROM and head of the Retoba laboratory, commented for Marketing Magazine on how data practices have evolved over the two decades since the digital world embraced the notion that data is the new oil. In the article, he reflects on the key shifts that have shaped the modern data economy and outlines the direction in which the field is likely to evolve over the coming years.

Marketing today is no longer merely a matter of communication, creative solutions, or brand visibility. It is increasingly becoming one of the key drivers of business growth. At a time when the economy is slowing, markets are fragmenting, and consumers have higher and more clearly defined expectations, it is becoming evident that competitive advantage will belong to companies that no longer manage marketing manually, but instead manage it systematically, supported by data and technology.