Beyond the Data: Why marketing leaders must question the source?

Marketing has always been a discipline of balancing intuition with evidence. But as artificial intelligence, algorithmic decision-making, and an endless stream of data reshape the industry, the challenge is no longer finding information, it's determining whether that information deserves your trust.

Kate Pietrini, CMO of CMORoom, sits down with Adam Kmiec for a thought-provoking CMORoom Spotlight conversation exploring one of the biggest leadership questions facing marketers today: How do you preserve what makes a brand distinctive while making decisions in an era where data is abundant, but not always reliable?

Drawing on nearly three decades of experience in brand marketing, Adam shares his perspective on balancing creativity with analytics, building enduring brands, and leading with confidence in an increasingly data-driven world.

After nearly 30 years in brand marketing, why do you believe this is the most exciting time to be a marketer?

The growing complexity of the world around us. Organizations have access to more data, more tools, and more opportunities than ever before. At the same time, expectations are higher, decisions are more visible, and the margin for error is smaller. A single moment can shape how a brand is perceived, for better or worse. That combination of unprecedented opportunity and increased responsibility is what makes this era so fascinating. Marketing has never been more dynamic, or more consequential.

You've spoken about "strengthening the spine of an organization without destroying its soul."

What does that mean?

Every brand faces a constant tension between protecting its heritage and embracing change. The things that strengthen an organization's spine are often the safe decisions. They rely on proven frameworks, established processes, and best practices that reduce risk. But if every decision is driven by safety, you eventually remove the very qualities that made the brand memorable in the first place. Years ago at The Campbell Soup Co., we often said our responsibility as brand marketers was to protect the past from the future, and the future from the past.

That balance is where art and science collide. And I still believe it's true today. Some brands have a rich heritage worth preserving. Others need meaningful reinvention. The challenge isn't choosing one or the other. It's knowing how much of each is required, and having the courage to act on it.

How do legacy brands navigate that balance?

Every industry wrestles with the same question. Whether you look at retailers, automotive companies, or restaurant brands, they're all asking some version of the same thing:

How much of our history should we protect? How much should we reinvent?

In many ways, it's no different from the questions people ask themselves throughout their own careers and lives:

Who am I today?

Who am I becoming?

The answer isn't found in history alone, and it isn't found in the latest data point either. It requires understanding both where you've come from and where you're going. And if there was ever a time to go beyond the data and interrogate the source and the messenger, this is it.

Data has become central to every marketing conversation. Has our relationship with it changed?

I think we're asking the wrong question. Every leadership meeting eventually arrives at: "What does the data say?" The better question is: "What's the source of the data?"

We have access to more insights than ever before, but we don't spend nearly enough time understanding where those insights originate. Context changes everything. Knowing the source often changes how you interpret the conclusion. Data can tell you what is happening. Understanding the source helps you understand why you should believe it.

Why is understanding the source becoming even more important in the age of AI?

Every large language model is trained on data collected from somewhere. Every dataset reflects the perspectives, assumptions, and limitations of the people and information that created it.

So the important questions aren't simply whether AI produced an answer. They're questions like:

• Who contributed the data?

• What perspectives dominate?

• Which viewpoints are missing?

• What assumptions are built into the model?

If you don't understand the source, you can't fully evaluate the recommendation. AI can accelerate an answer. It can't eliminate the need for judgment.

Can you share an example of why source data matters?

A colleague of mine worked at a large organization that had been around for more than 50 years. They were in the middle of a rebrand, and the rebrand generated significant negative external feedback. Internally, leadership believed the online backlash represented widespread customer sentiment. When the data was examined more closely, they discovered that a significant portion of the conversation wasn't coming from actual customers at all. Much of the activity originated from automated accounts operating across multiple countries. Bots, if you will. News aggregators. Not real people. Imagine making significant brand decisions based on conversations that don't actually represent your customers. That's why understanding where data comes from is just as important as the data itself.

How should marketing leaders think about recommendations from agencies, consultants, and industry partners?

Every recommendation deserves context. Whether it's media planning, platform strategy, or brand positioning, it's important to understand the incentives behind the advice. Holding companies have commercial relationships. Platforms have business objectives. Consultants bring their own experiences and perspectives. None of that is inherently problematic, but leadership requires asking better questions before accepting recommendations at face value. Follow the incentives. Follow the relationships. Follow the source.

What's the leadership lesson you hope marketers take into the future?

The next decade of marketing won't be defined by who has access to the most data. It will be defined by who asks the best questions. As AI accelerates decision-making and data becomes even more abundant, the competitive advantage will belong to leaders who look beyond dashboards and headlines to examine the quality, context, and origin of the information in front of them.

In a world where every metric can shape a multimillion-dollar decision, curiosity may become the most valuable leadership skill of all. For modern marketers, the future isn't simply about following the data. It's about understanding where the story begins.