The strategic shift facing B2B marketers
Shimon Ben Ayoun, co-founder of SPOTONVISION, recently spoke with Nick Mason, CEO and co-founder of Turtl, about how account-based marketing will evolve over the coming years and what that means for B2B leaders today.
As Mason explains early in the discussion: “We’re not in Kansas anymore.”
Between geopolitical uncertainty, accelerating AI capabilities and increasingly complex buying groups, B2B marketers are operating in a more demanding environment than ever before. Yet the most significant change, according to Mason, is not purely external. It is strategic.
“The competitive advantage is no longer about what we can create. It’s about knowing what works.”
That shift has important implications for how ABM programmes are designed, measured and scaled.
From content creation to signal intelligence
For many years, ABM programmes have been driven by stronger content, better personalisation and increasingly sophisticated creative execution.
However, Mason believes that by the end of the decade, those capabilities will no longer be sufficient on their own.
Instead, leading marketing teams will focus on their ability to ingest and interpret vast volumes of engagement and intent data in order to understand what actually drives pipeline.
“Previously, huge quantities of data weren’t processable by human beings,” Mason explains. “AI changes that. It allows us to ingest, consume and spot patterns across hundreds of thousands, even millions, of engagement signals.”
He describes this environment as the “Signalverse”. Buyers leave digital signals across multiple channels and interactions. Individually these signals may appear insignificant, but when analysed collectively they can reveal meaningful patterns about buyer intent and engagement.
Moving beyond engagement to revenue accountability
The pressure on marketing teams to demonstrate commercial impact is now well established. Engagement metrics alone are rarely sufficient to justify investment.
As Mason puts it, ABM must demonstrate a “provable, tangible pipeline and revenue outcome”.
This requires a more precise understanding of how buying groups behave and how engagement signals should influence decision-making.
“What we’re helping teams do,” he says, “is understand what accounts are engaging with, who in the buying group is engaging and what that means for resource allocation and onward strategy.”
In practice, this means moving away from treating every target account in the same way. Instead, resources can be directed towards the accounts and buying groups showing the most meaningful engagement signals.
The results can be significant. Mason references one organisation that doubled its win rate through the partner channel without increasing spend or headcount.
“Not because they hired more people,” he says, “but because they dedicated their resources to the right accounts with the right messaging.”
The distinction, he argues, is between scaling effort and scaling intelligence.
Turning shared signals into proprietary insight
A common challenge in modern ABM is that much of the available intent data is accessible to everyone. Many organisations are working with the same third-party sources.
So where does competitive advantage emerge?
According to Mason, the most successful organisations will focus on transforming shared signals into proprietary insight built from their own engagement data.
“Either you try to get more signals than everyone else,” he says, “or you turn those signals into proprietary first-party signals that only you have.”
External intent signals can serve as a trigger for engagement. The real value is created when organisations capture and analyse the behavioural data generated through their own interactions with buying groups.
In other words, the differentiator is not simply identifying signals first, but learning from them more effectively.
Why the next few years matter
Looking ahead to 2030, Mason believes ABM could evolve from a model that becomes harder to scale into one capable of delivering exponential returns as investment increases.
Only a few years ago this may have seemed unrealistic. Advances in data processing and AI are making it increasingly feasible.
“If ABM is central to your GTM,” Mason says, “it’s important to understand these dynamics now. The steps and decisions we make today determine whether we’re set up for success.”
Actionable takeaways for B2B leaders
-
Stop measuring volume of activity and start measuring learning velocity.
-
Convert third-party intent data into proprietary first-party behavioural insight.
-
Map engagement at the buying group level rather than only at the account level.
-
Prioritise resource allocation dynamically based on the depth and quality of signals.
-
Build ABM systems designed to continuously learn and improve, not simply to execute campaigns.
Don’t miss Nick Mason, live in Amsterdam
Nick Mason will explore how ABM must evolve to deliver exponential impact at the European ABM Forum. His “Signalverse” framework examines how teams can interpret engagement signals, prioritise the right accounts, and convert shared intent data into proprietary insight that drives measurable revenue outcomes.
European ABM Forum
Amsterdam
26 March 2026