What Europe's Top CMOs Prioritise in 2026 — and How to Contribute Earlier
McKinsey just asked 500 senior marketing leaders across Europe what matters most right now. France, Germany, Italy, Spain, the UK. The people in the rooms where budgets are decided and strategies are set.
The findings are worth reading — not because they're surprising, but because they name the conversations happening in every marketing team right now. Branding. Return on investment. Artificial intelligence. If you've sat in a meeting about any of these topics recently and wondered what you were supposed to contribute, this article is for you.
Here is what the research says, and here are three habits that make you useful in each of those conversations — without needing the budget authority or the seniority to lead them.
What McKinsey found
McKinsey organised its findings around three imperatives. Marketing leaders need to be trusted, effective, and bold. Each one maps to a specific gap European organisations are struggling with right now.
Branding ranked first out of twenty marketing topics by importance. Not AI. Not data. Not performance marketing. Brand — and specifically authentic, purpose-driven brand experiences. Nearly seven in ten European CMOs say this is essential for sustainable growth.
Budget management and marketing ROI are both urgent and underdeveloped. Only thirteen percent of marketers say they communicate well with finance. That is not a skill gap. It is a structural problem that costs marketing leaders influence and resources every budget cycle.
On artificial intelligence, the gap is stark. Only six percent of European marketing leaders say their organisations have high AI maturity. The six percent who do are already reporting twenty-two percent efficiency gains — and reinvesting them in growth. Everyone else is falling further behind every quarter.
These are not abstract trends. They are the three recurring conversations in most marketing teams right now. Knowing how to contribute to each of them is a career accelerator.
The Marketing Canvas Method (MCM) is a 6-step strategic framework that gives marketing teams a shared vocabulary and a structured diagnostic for each of these areas — connecting brand, budget, and technology to specific, scored decisions. The three habits below draw on that structure, but you can use them in any meeting without knowing the framework first.
Habit 1 — When brand comes up, ask what the score is
Try this in your next brand or creative review: When the conversation turns to authenticity, purpose, or brand trust, ask: "What does our current evidence say about how customers actually perceive our brand values — not what we intend, but what they experience?"
Branding ranked first in McKinsey's research for a reason. When markets are uncertain, customers move toward the brands they trust. That trust is not built by campaigns. It is built by what the brand consistently does — and by whether what it does matches what it says.
The frustrating thing about most brand conversations is that they stay at the level of aspiration. "We want to be more authentic." "We need to stand for something." Nobody asks the harder question: what do we actually stand for, and how would we know if customers believe it?
Patagonia is the example most people know. Their "Don't Buy This Jacket" campaign looked counterintuitive. Sales went up. Not because the ad was clever — because the brand's values were real, observable, and consistent. The campaign worked because the underlying score was already there.
What the MCM calls Values (Dimension 230) — the scored assessment of whether a brand's values are lived rather than just stated — is one of the two Fatal Brakes for companies whose strategy depends on tribal loyalty and brand trust. A score below target here means no amount of media investment fixes the problem. You are structurally blocked.
Most junior marketers assume brand scoring is a CMO's job. It isn't. The habit of asking "what evidence do we have?" in a brand conversation — not challenging the strategy, just asking for the evidence — is a contribution that most rooms need and few people make.
Habit 2 — When ROI comes up, ask what the revenue number is made of
Try this in your next budget or planning meeting: When the conversation turns to marketing ROI or spend justification, ask: "Can we decompose the revenue target into its components — existing customers, new customers, and how much each is expected to contribute?"
Thirteen percent of marketers communicate well with finance. That means eighty-seven percent are having budget conversations in the wrong language. They are talking about reach and awareness and brand health while the CFO is thinking about acquisition rates, churn, and revenue per customer.
The gap is not about access to data. It is about framing. When you can break a revenue number into its moving parts — how many customers we start with, how many we expect to add, how many we expect to lose, how much each one spends — you are having a finance conversation, not a marketing conversation. And finance conversations get budget approved.
What the MCM calls Step 2 (Revenue Ambition & Goal Setting) is built exactly for this. Before any strategic decision is made, you decompose revenue into the variables that marketing can actually influence: the number of customers at the start of the period, new customers added, customers lost, and how much each customer spends. The output is a goal in the language of finance — not impressions, not reach, not brand health scores.
Try this: Before your next budget conversation, take your team's revenue target and try to write out what it assumes about customer numbers and customer spend. If you can't fill in both, you've found the gap — and naming it is more useful than any campaign optimisation you could run.
The marketers who learn to do this early are the ones who get asked to be in budget conversations, not just informed about them afterward.
Habit 3 — When AI comes up, ask what it depends on
Try this the next time your team discusses an AI tool, a new automation, or a data-driven initiative: Ask: "What does this need to be true about our data and our strategy to actually work?"
Six percent of European marketing organisations are getting twenty-two percent efficiency gains from AI. The ninety-four percent who aren't stuck are not stuck because the tools are unavailable. They are stuck because their strategic foundations are too fragile for AI to run on. Fragmented customer data. Unclear targeting. Strategy that hasn't been written down clearly enough to be executed consistently by humans, let alone machines.
AI does not create clarity from chaos. It amplifies whatever you feed it. If your customer segmentation is approximate, AI-driven personalisation will be precisely wrong. If your value proposition hasn't been defined clearly, AI-generated content will be fluently vague.
The question to ask — before any AI investment — is not "what can this tool do?" It is "what does this tool need us to already have done?" Usually the answer is: a clear definition of who the customer is, what they want, and what success looks like in numbers.
What the MCM calls M10 (External Forces) — the assessment of whether a major environmental change is an accelerator or a brake for your specific strategic position — is where AI belongs in a structured analysis. AI is an accelerator for companies with structured foundations. It is a brake for companies deploying it on top of fragmented assumptions.
The habit of asking "what does this depend on?" before any tool conversation shifts you from being the person who tries things to being the person who evaluates them. That is a different level of usefulness in any room.
What the research shows
McKinsey's survey of five hundred European marketing leaders is a picture of a function under pressure to be more trusted, more accountable, and more technologically capable — simultaneously, and with the same resources.
The brands that are meeting that pressure are not doing three new things. They are doing the same foundational things better: being clear about who they serve, honest about their values, precise about their numbers, and disciplined about which tools they use and why.
Patagonia shows that brand trust is built from what the organisation does, not what it claims. Progressive Insurance shows that a clear customer definition, held consistently, compounds into a performance gap over years. McKinsey's own data shows that the AI leaders are not the ones with the best tools — they are the ones with the clearest strategic foundations.
The career implication is direct: the marketers who understand these foundations — who can ask the right questions about brand evidence, revenue decomposition, and strategic prerequisites for technology — are the ones who become valuable contributors in the rooms where these decisions get made.
What to do next
If you want to see where your company's marketing foundations are strong and where they have gaps, the Quick Assessment at laurentbouty.com/quick-assessment runs the diagnostic in 10 minutes. Free.
If you want the full framework behind these habits — all six steps, 24 dimensions, and the complete logic for how strategy connects to execution — the book is at laurentbouty.com/book.
For the detailed analytical take on McKinsey's Europe 2026 findings mapped to the MCM framework, read [McKinsey Just Told Europe's CMOs What They Need. Here's the Operating System to Get It Done.] →
The Marketing Canvas Method (MCM) is a 6-step strategic marketing framework that connects customer understanding to strategic action through precise vocabulary and a shared scoring system. Learn more at marketingcanvas.net.
Source: McKinsey & Company — State of Marketing Europe 2026, Past Forward: The Modern Rethinking of Marketing's Core (2025).
