Generative AI: European marketers’ top priority — but 94% of them aren’t getting the results.

You have made generative AI your strategic priority for 2026? You are not alone. 34% of European marketers place it at the top of their investments....

Generative AI: European marketers’ top priority — but 94% of them aren’t getting the results.

Generative AI: European marketers’ top priority — but 94% of them aren’t getting the results. 1024 572 Jean-Marc Segati

You have made generative AI your strategic priority for 2026? You are not alone. 34% of European marketers place it at the top of their investments. But here is the real problem: only 6% of organizations derive a real benefit from it. Why such a gap? The answer lies in one word: data.

The AI Paradox in Europe

The assessment is relentless. 85% of European digital marketing companies already use AI for at least one campaign function. Yet only 6% of them derive a real strategic benefit. These 6% of pioneers report efficiency gains of 22% already realized, with projections to 28% within two years. Conversely, 94% of organizations show low or moderate maturity, held back by cautious leadership, limited skills, and dispersed initiatives.

The problem is not the technology. It’s the data.

The three obstacles killing your ROI

  1. Data quality: the first barrier
    49% of European marketers cite the lack of necessary data as the first obstacle, and 43% point to insufficient data quality. Nearly half of organizations are concerned about the accuracy or impartiality of data used for AI. Without reliable data, your generative AI produces content… but not relevant content.
  2. Access to proprietary data: the invisible wall
    42% of companies feel they do not have access to enough proprietary data to customize their generative AI models. Data silos, where information is fragmented across disconnected systems, prevent a unified view of the customer and reduce the effectiveness of AI tools.
  3. Skills: the weak link
    40% of organizations lack internal capabilities or expertise, and 39% struggle to translate data into actionable insights. Data literacy — the ability to read, analyze and effectively communicate data — is a skill still too rare in marketing teams.

Why efficiency is at the heart of the problem

Efficiency is the number-one measurement priority for 68% of European marketing leaders. Yet, without reliable and well-utilized data, generative AI cannot deliver on its promises of large-scale personalization. Companies that excel in this area, dubbed “leaders in personalization,” devote on average 60% of their marketing budget to personalization, versus 37% for their less mature competitors. These leaders show higher average order value and higher customer lifetime value.

The question every marketer should ask today: before launching your next AI-powered campaign, have you verified the quality of your data? Because without it, you are investing in a Ferrari… with an empty tank.

Hashtags : #GenerativeAI #DigitalMarketing #DataDriven #MarketingEffectiveness #DigitalTransformation #MarketingPriorities2026 #DataQuality #Personalization #MarketingROI #EuropeanMarketing

Main source : McKinsey & Company State of Marketing Europe 2026 study — available on McKinsey’s official site (search “State of Marketing Europe 2026 McKinsey”)

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