Something broke in B2B marketing sometime in the last few years, and most organizations are still trying to diagnose it with the wrong tools. While others are burying their head in the sand and are just hoping this problem goes away.
The symptoms are familiar to anyone inside a B2B organization. Email performance that used to be steady has now become unpredictable. Content that once generated a consistent stream of leads now struggles to move the needle. There are fewer conversions across the board and the contacts that do happen to convert are colder and less engaged than they used to be.
The dashboards are still there, and the workflows are still running. But something is off in a way that’s hard to articulate using the vocabulary the industry spent twenty years developing.
That weird feeling you feel is the cataclysmic shift in how marketing is executed. The economic exchange that defined modern B2B marketing for a generation is breaking down. And when it breaks fully, it will take a surprisingly large amount of the marketing industry down with it.
For the better part of twenty years, B2B marketing operated on a widely accepted and mutually beneficial transaction.
A company had information and a buyer wanted said information. The company exchanged that information for access. If you download the white paper, you can then get the benchmark report. Just fill out the form and enter our database.
This exchange was so fundamental to the structure of modern marketing that an entire technology infrastructure was built around it. Marketing automation platforms, CRM systems, lead scoring models, nurture campaigns, attribution systems, content marketing programs, demand generation engines, all built around a foundational premise. A house of cards all predicated on the idea that information was so valuable that buyers would trade their personal information and behavioral data to get it. The gated asset wasn’t simply a piece of content. It was the mechanism through which companies acquired the raw material that fueled everything else. DATA!
No organization understood this better, or capitalized on it more successfully, than HubSpot. HubSpot didn’t invent content marketing. John Deere’s customer magazine, The Furrow, has been publishing since 1895, and Michelin was producing its famous travel guides by 1900. But what HubSpot did in the mid-2000s was operationalize content as a lead generation engine in a way that had never been done before at scale. Instead of interrupting buyers with advertising, you could attract them with expertise. If you attract your ideal buyer, then you don’t have to cold call strangers. You could get people to raise their hand by trading their email address for something you had published.
For a generation of B2B marketers, this was genuinely revolutionary. And to be fair, it worked extraordinarily well for a long time.
But we have to acknowledge that the reason it worked was because certain information was scarce. Academic information or industry information was behind a paywall of some sort, so simply making it free was enough to be worth the exchange.
A cybersecurity company that published a thorough guide to ransomware prevention in 2008 possessed something buyers genuinely couldn’t find easily anywhere else. A software company that produced an honest implementation guidance offered real value that wasn’t readily available through a quick search. A consulting firm that published original industry research gave buyers something they would actually read and reference.
That was the world the modern B2B marketing stack was designed for. However, we are in a time where that problem no longer exists. People are no longer willing to exchange their personal data for information.
The collapse happened gradually and then, in the last few years, all at once.
As the internet matured, content and thus information became the primary way to acquire the modern form of currency…attention. Content creation became a vocation meaning that producing and distributing information is now a career for millions of people. And, as it tends to do, technology accelerated this change.
Google spent two decades making information dramatically easier to find. Social media made it easier to distribute. YouTube turned complex technical subjects into on-demand education available to anyone with an internet connection. LinkedIn democratized professional knowledge sharing in ways that made vendor-produced thought leadership feel less unique. Online communities like Reddit provided unfiltered peer perspectives that buyers trusted more than anything produced by a company trying to sell them something. Analyst firms whose research once sat behind expensive subscription paywalls found their core insights summarized and discussed in public forums within days of publication.
Then AI arrived and began doing something qualitatively different.
A B2B buyer today can sit down with an AI assistant and, in the span of twenty minutes, develop a comprehensive understanding of an entire vendor category. They can ask for a comparison of the leading solutions, an explanation of the key evaluation criteria, a summary of the most common implementation challenges, a list of questions to ask in vendor demos, and an analysis of how different options map to their specific situation. They can do all of this without visiting a single vendor website or downloading a white paper or filling out a single form. The information that vendors spent years and significant budget producing is now available in synthesized, personalized form to anyone who asks for it.
The demand generation model was built on the assumption that buyers needed vendors to educate them and would enter the funnel to get that education. Increasingly, they’re getting the education elsewhere and if they enter the funnel at all, they come in already decided.
When a resource stops being scarce, value doesn’t disappear. It shifts.
In the early twentieth century, the scarcity in retail was physical access. The ability to get goods from manufacturers to consumers across geography was tough. When transportation infrastructure improved and distribution became easier, the scarcity then migrated to selection and curation. When selection became abundant through big-box retail and eventually e-commerce, scarcity migrated again to trust, convenience, and experience. The underlying human need to acquire goods never changed. What changed was which part of satisfying that need was difficult at that given time.
The same logic applies to information. The buyer’s need to understand a problem and gaining confidence in a solution hasn’t changed. What’s changed is which part of satisfying that need is now difficult.
It’s no longer difficult to access information. Now what’s scarce is knowing which information to trust.
The buyer sitting in front of an AI-generated vendor comparison guide is confronting a real problem. When everything sounds credible, the claims are hard to verify independently. Suddenly, the cost of making the wrong decision increases significantly.
The demand now shifts. People want confidence that a particular piece of information, a particular vendor, a particular perspective deserves to be trusted. And trust, unlike information, cannot be manufactured through volume, optimized through A/B testing, or automated through a workflow. It accumulates slowly, through repeated contact with something that proves itself reliable. It’s destroyed quickly and doesn’t come back easily.
For B2B marketing, this represents a fundamental shift in what the job actually becomes.
This is where most conversations about the future of marketing go wrong. They treat interpretation as a soft capability, a nice supplement to the rigorous demand generation infrastructure that does the real work. They describe it in terms of “thought leadership” or “brand building,” categories the profession has historically treated as secondary to pipeline generation and therefore chronically underfunded and undervalued.
But interpretation, when it is properly understood, is not a soft capability. It’s the hardest thing marketing does. And it’s about to become the most economically valuable.
Here’s what interpretation actually means in practice, and why it requires more from marketers than most organizations currently expect and respect.
When 80% of visitors leave a landing page without converting, the response is to test different headlines, adjust the layout, or shorten the form. Sometimes that works. But the interpretive response of the future marketer, starts from a different place entirely. The question is now, what did those visitors believe when they arrived that the page failed to address? What expectation did the page violate? What concern went unresolved? What does someone have to believe to be true in order for the offer to feel worth the friction of a form fill? And most importantly, where did that belief come from, and is it accurate? We move away from what the friction is from a design and operational lens to what is the friction from a consumer psychology lens.
Rory Sutherland, the vice chairman of Ogilvy and author of Alchemy, gives away his core ideas constantly, talks, interviews, essays, and social posts. His audience doesn’t follow him to access information they couldn’t find elsewhere. They follow him because his interpretation of human behavior is reliably surprising, consistently useful, and impossible to replicate through a Google search or an AI prompt. The information is free, but the perspective is not.
The B2B equivalent of this dynamic is emerging in categories where practitioners who have developed genuine expertise are building audiences through candid, specific, non-generic analysis. They’re not competing on comprehensiveness. They’re competing on the quality of their point of view.
The shift from information to interpretation is not just a strategic one. It’s a talent and organizational challenge that most B2B marketing teams are not currently structured to address.
The skills required to execute a demand generation program, which typically include campaign management, marketing automation, paid media optimization, lead scoring, attribution modeling, tend to be largely operational. Those skills require precision, process discipline, and comfort with complexity. However, they don’t often require the ability to form and defend a credible hypothesis about why buyers behave the way they do. The marketing skills of the future require the ability to synthesize audience understanding into a coherent point of view that’s specific enough to be useful and distinctive enough to be memorable. And they include the credibility to deliver that point of view in a way that earns trust rather than performing authority.
None of this means demand generation dies, or that operational marketing becomes irrelevant. Evolution means the machine is just becoming more capable. AI is going to make content production faster, campaign optimization more sophisticated, and data analysis more comprehensive than anything the current infrastructure can do.
But faster content production when content is already abundant is useless.
The organizations that navigate this transition well will be the ones that recognize that the scarcity has shifted. They will take the time that is freed up by AI supported operational process to focus on interpretation and translation. They’ll invest in the work of understanding not just what the audience clicked on, but why, and what it would take to change the beliefs that are preventing them from buying. They’ll build the kind of genuine domain credibility that makes trust transferable. And they’ll develop the organizational capacity to translate that credibility into market positioning that’s specific enough to mean something, because specificity is increasingly the only defense against the commoditizing force of abundant information.
The irony at the center of this moment is not lost on me. After two decades of technology transforming what marketing does and how it’s evaluated, the profession is arriving at a place where the most valuable capabilities are the oldest ones. The ability to understand people, to earn their trust, and to make sense of a complex world on their behalf.
The tools have changed dramatically. But the fundamental job of helping the organization understand its market and helping the market understand why the organization deserves its trust, hasn’t changed at all. For a long time, it just became easier to measure other things.
Follow Moni Oloyede at https://www.linkedin.com/in/moni-oloyede/
If you want help reconnecting to your marketing, sign up for MOM’s Weekly Newsletter Let’s bring the soul back to your strategy.
Something important to remember here. Rory Sutherland is insightful and witty and a character, but people care what he thinks because of who he is. He's a leader first, a thought leader second. More brands and people need to remember this formula.