What the IBM CMO Study Tells Us About Marketing Leadership

The IBM CMO Study is one of the most widely cited pieces of research in marketing leadership. It surveys thousands of chief marketing officers across industries and geographies, and it consistently surfaces the same themes: rising complexity, pressure to prove ROI, and a widening gap between what CMOs are expected to deliver and what they feel equipped to handle. If you work in senior marketing, the findings tend to feel less like a revelation and more like a mirror.

What makes the study worth reading carefully is not the headlines. It is the pattern underneath them, specifically what it reveals about how the CMO role has been structurally set up to struggle, and what that means for anyone trying to build a lasting career at the top of the marketing function.

What the IBM CMO Study Actually Measures

IBM’s Institute for Business Value has been running CMO research for well over a decade. The methodology is straightforward: large-scale surveys of senior marketing leaders, supplemented by in-depth interviews, covering topics like technology adoption, data capability, customer experience, and organisational alignment. The sample sizes are substantial enough to take seriously, and because the research has been conducted across multiple waves, it offers a longitudinal view of how CMO priorities and pressures have shifted over time.

The study is not academic research. It is consulting-adjacent research produced by a technology company with a clear interest in how CMOs think about data, AI, and marketing technology. That context does not invalidate the findings, but it is worth holding in mind when reading the recommendations. IBM has a point of view, and it tends to show up in the conclusions.

That said, the diagnostic sections of the study, the parts that describe what CMOs are actually experiencing, have consistently reflected what I have seen from the inside. The pressure is real. The complexity is real. The gap between expectation and resource is real. The study gives language to things that practitioners already feel but rarely articulate clearly.

For anyone building or developing a career in marketing leadership, the broader picture of how senior marketers operate and where they struggle is covered in depth across the Career and Leadership in Marketing hub. The IBM study is one data point in a larger conversation worth having.

The Complexity Gap Has Not Closed

One of the most consistent findings across every wave of the IBM CMO Study is what researchers call the complexity gap: the difference between the level of complexity CMOs expect to face and the level they feel prepared to handle. In early iterations of the study, this gap was notable. In more recent waves, it has widened.

The sources of complexity have shifted too. Early versions of the study focused heavily on data explosion and social media proliferation. More recent research has moved toward AI adoption, real-time personalisation at scale, and the challenge of orchestrating customer experience across a fragmented channel landscape. The names change, but the underlying dynamic does not: the marketing environment moves faster than most organisations can adapt their capabilities.

I have seen this play out repeatedly across the agencies and clients I have worked with. A CMO joins with a clear mandate, builds a team, invests in a tech stack, and then eighteen months later finds that the landscape has shifted again. The problem is rarely that the CMO made bad decisions. It is that the organisation expected a static solution to a moving problem. The CMO who hired for programmatic expertise in 2018 was not wrong. They were just working with the information available at the time, inside a structure that was not built to adapt quickly.

The IBM study frames this as a capability problem, and in part it is. But it is also an organisational design problem. Most businesses have not built marketing functions that can evolve at the pace the market demands. They have built functions optimised for the last cycle, and then hired a CMO to run them in the next one.

Data Fluency Is Necessary But Not Sufficient

The IBM research has consistently identified data and analytics as a priority concern for CMOs. In earlier waves, the challenge was access to data. More recently, it has shifted to making sense of it, specifically the ability to translate data into decisions that drive commercial outcomes rather than just producing dashboards that confirm existing assumptions.

This distinction matters more than most organisations acknowledge. I spent years watching marketing teams invest heavily in analytics infrastructure, only to use it primarily to report on what had already happened. Attribution models that justified the existing channel mix. Brand tracking that confirmed the brief. Customer segmentation that mapped onto the products already being sold. The data was technically present. The thinking was not.

Part of this is a measurement problem that runs deep in the industry. When I was judging the Effie Awards, one of the things that consistently separated the strong entries from the mediocre ones was not the quality of the creative work. It was the rigour of the commercial thinking behind the campaign. The best submissions could articulate what business problem they were solving, how they knew it was working, and why the approach made sense given the competitive context. Most submissions could not do that. They could describe outputs. They could not connect them to outcomes.

The IBM study tends to recommend better data infrastructure as the solution to this problem. That is part of the answer. But the more fundamental issue is how CMOs are trained to think about measurement. Analytics tools are a perspective on reality, not reality itself. A CMO who understands that distinction will make better decisions than one who treats the dashboard as the ground truth, regardless of how sophisticated the technology is. Optimizely’s work on content operating models touches on a related challenge: how organisations structure decision-making around data versus intuition, and why the answer is rarely one or the other.

The C-Suite Relationship Problem Is Structural

One of the more revealing sections of the IBM CMO Study concerns peer relationships inside the C-suite. CMOs consistently report that their relationships with the CEO and CFO are among the most important factors in their effectiveness. They also consistently report that these relationships are among the hardest to build and maintain.

The tension with the CFO is particularly well-documented. Marketing and finance have historically operated from different frameworks: one oriented around brand equity, customer lifetime value, and long-term growth; the other around short-term returns, cost control, and measurable ROI. These are not incompatible frameworks, but they require active translation work to align. CMOs who can speak fluent finance tend to have significantly more influence over budget decisions and strategic direction. Those who cannot tend to find themselves defending spend rather than directing it.

The relationship with the CTO or CIO has become increasingly critical too, particularly as martech complexity has grown. When I was growing an agency from around twenty people to over a hundred, one of the things I noticed was how often marketing and technology teams talked past each other. The marketers wanted capability. The technologists wanted stability and security. Neither was wrong, but the gap between them created delays, cost overruns, and projects that delivered less than either side had hoped. The CMOs who navigated this best were the ones who invested time in understanding the constraints on the technology side, not just advocating for what marketing needed.

IBM’s research frames this as a collaboration challenge, which it is. But it is also a credibility challenge. CMOs who have earned credibility across the C-suite, by demonstrating commercial rigour, following through on commitments, and being honest about what is and is not working, tend to have more latitude and more longevity. Those who are seen primarily as advocates for marketing, rather than contributors to the broader business, tend to find their influence limited regardless of how well the marketing function performs.

The Shift from Brand Steward to Growth Driver

Perhaps the most significant structural shift the IBM CMO Study has tracked over time is the evolution of the CMO’s primary mandate. A decade ago, the dominant frame was brand stewardship: protecting and building brand equity, ensuring consistency across touchpoints, and managing the long-term perception of the organisation. Today, the dominant frame is growth: driving revenue, acquiring customers, expanding into new markets, and demonstrating measurable commercial impact.

This shift has happened faster than most organisations have adapted their CMO mandates, their budget structures, or their definitions of success. The result is a role that is expected to deliver growth outcomes but is often still resourced and measured like a brand function. The CMO is handed a brief that says “drive revenue” and a budget that says “manage communications.” These are not the same job.

I have thought a lot about this tension through the lens of how growth actually works. Earlier in my career, I overvalued lower-funnel performance marketing. It felt accountable. It felt measurable. It felt like the kind of work that justified budget in a boardroom conversation. What I came to understand over time is that much of what performance marketing gets credited for was going to happen anyway. You are often capturing intent that already existed, not creating new demand. Genuine growth requires reaching people who were not already looking for you. That is brand work. That is upper-funnel investment. That is the part of the marketing mix that is hardest to defend in a quarterly review and most important to the long-term health of a business.

The IBM study consistently shows that CMOs understand this intellectually. The challenge is that the incentive structures they operate within often push them toward the measurable and the immediate at the expense of the strategic and the long-term. That is not a failure of individual CMOs. It is a failure of how organisations have set up the role.

What the Study Gets Right About Technology Adoption

IBM’s research has consistently flagged technology adoption as both a priority and a pain point for CMOs. The martech landscape has expanded dramatically over the past decade, and CMOs are expected to make increasingly complex technology decisions with real commercial consequences. Choosing the wrong platform, integrating it poorly, or failing to build the internal capability to use it effectively can set a marketing function back by years.

What the study captures well is the gap between technology investment and technology capability. Most organisations have invested heavily in marketing technology. Fewer have invested proportionally in the people and processes needed to extract value from it. The result is a martech stack that is technically impressive and practically underused. Licences that are paid for and barely touched. Integrations that were promised and never completed. Dashboards that are built and never opened.

I have seen this pattern across enough organisations to know it is not a niche problem. It is close to the norm. The organisations that get the most from their technology investment tend to be the ones that start with a clear use case and build capability around it, rather than buying a platform and then trying to find a use for it. That sounds obvious. It is apparently not obvious enough, given how common the reverse approach remains.

For CMOs thinking about how to structure their technology decisions, the question of what problem you are actually solving has to come first. Not which platform is the market leader. Not what your competitors are using. Not what the vendor is promising. What specific commercial problem does this solve, and how will you know if it is working? Those two questions eliminate a significant proportion of bad technology decisions before they happen.

Where the IBM Study Falls Short

The IBM CMO Study is genuinely useful, but it has limitations worth naming. The most significant is that it surveys people who have already reached the CMO level in organisations large enough to have formal C-suite structures. The findings reflect the experience of a specific slice of the marketing population, and they may not translate cleanly to smaller organisations, earlier-stage companies, or markets outside the major economies where IBM’s research is concentrated.

There is also a selection bias in how CMOs respond to surveys about their own effectiveness. People who have reached senior positions in large organisations tend to be reasonably good at presenting themselves positively, even in anonymous research. The complexity gap findings are probably accurate. The self-assessments of how well CMOs are handling that complexity are probably less reliable.

The recommendations that follow from IBM’s research also tend to skew toward technology investment, which is unsurprising given who is funding the research. Better data infrastructure, more AI capability, improved personalisation platforms. These are not wrong recommendations. They are just incomplete ones. The study is less useful when it comes to the human and organisational dimensions of CMO effectiveness: how to build trust with a sceptical board, how to manage a team through a difficult transition, how to make a credible case for long-term brand investment when the business is under short-term pressure. These are the questions that actually determine whether a CMO succeeds or fails, and they are underrepresented in the research.

If you are working through these questions at a senior level, the thinking on marketing leadership and career development here at The Marketing Juice covers the organisational and human dimensions that the IBM study tends to leave on the table.

What CMOs Should Actually Take from the Research

The most practical thing the IBM CMO Study offers is not its recommendations. It is its diagnostic value. If you are a CMO, or aspiring to be one, reading the study and recognising your own situation in it is useful. It tells you that the pressures you are feeling are structural, not personal. The complexity gap is real and it is industry-wide. The C-suite relationship challenges are common. The tension between brand and performance investment is not unique to your organisation.

What that recognition should prompt is not relief but strategy. If these are structural problems, they require structural responses. Not just better personal performance, but clearer mandates, more honest conversations with boards about what marketing can and cannot deliver, and a more rigorous approach to how success is defined and measured.

The CMOs I have seen thrive over the long term tend to share a few characteristics that the IBM study gestures toward but does not fully articulate. They are commercially credible first and marketing experts second. They invest in relationships across the C-suite, not just upward to the CEO. They are honest about uncertainty rather than projecting false confidence about what the data shows. And they are willing to make the case for long-term investment even when the short-term pressure is significant, because they understand that without it, the growth they are being asked to deliver will not materialise.

None of that requires a new platform. It requires clarity about what the job actually is, and the credibility to do it on those terms.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

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