ABM isn't just a strategy, it's what good marketing looks like

For years, we've treated Account-Based Marketing (ABM) like some revolutionary approach that requires a complete organizational overhaul. We've hosted summits about it. Built entire SaaS categories around it. Created certifications for it.

And for a long time, that reverence made sense. ABM was genuinely hard. It was the domain of enterprise organizations with seven-figure budgets and dedicated teams. If you were a small business looking to run 1:1 experiences for 5–10 accounts, it would take months to plan and execute. Everything was manual: bespoke content, custom landing pages, coordinated outreach across channels. Scale was impossible, so you picked your battles carefully, focusing only on the whale accounts that justified the investment.

But here's the uncomfortable truth: ABM isn't innovative anymore. It's the baseline of what marketing should have been doing all along. And now that we have the technology to do it at scale, there's no longer an excuse.

The numbers tell the story: 81% of marketers report ABM delivers higher ROI than any other marketing strategy, and companies that fully align their ABM efforts see 60% higher win rates. 

But here's what those statistics actually mean: it's not that ABM invented some new magic, it's that we finally have the infrastructure to do marketing and sales the right way.

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First, let’s look at the spray-and-pray era

Broad-based campaigns lasted as long as they did because we genuinely didn’t know which accounts would convert – we just didn’t have the tools for insight. 

So we hedged our bets. We sent blast emails to 50,000 contacts. Ran generic ads to anyone who might fit our ICP. And celebrated our 2% conversion rate because, hey, volume makes up for quality, right?

Except it didn’t. And never did.

What spray-and-pray actually accomplished was this: it trained your market to ignore you. It built you a reputation that you don't understand what makes your customers tick. And it flooded your pipeline with low-quality opportunities that your sales team couldn't close – creating friction, wasted resources, and a fundamental disconnect between marketing's "success" and revenue reality.

The problem wasn’t ambition. Marketers have always known that targeted, relevant engagement outperforms mass outreach. The problem was always infrastructure. Account selection and prioritization was educated guesswork, but still guesswork supported by frameworks. Organizations would build their ICP based on firmographics, talk to sales to get an idea of what good looks like, and possibly run some analysis on closed-won deals. Teams would then manually score and tier accounts, and more or less hope that the list was full of businesses that would buy.

The tools to do it differently didn’t exist, at least, not at a price point or complexity level that organizations could justify. It would usually mean creating internal teams to build systems in-house and accelerate execution which, for most, is only possible at a certain stage or scale.

But that’s changed. AI plus composable tools designed for each stage of the buyer journey have effectively reduced the time and complexity required to create tailored experiences. 

You no longer need a monolithic platform or a team of six people working from the same spreadsheet. A handful of well-integrated tools, orchestration, intent data, intelligence, and measurement, can power a full-funnel program.

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Even with tech, I still believe that some are getting ABM wrong…

Ask most marketers what ABM means, and they'll tell you it's about "personalizing experiences." They’re not wrong, but that reductive definition is exactly why so many ABM programs feel inadequate: lots of effort on surface-level customization with no real substance underneath.

ABM isn't about cramming a prospect's name into every touchpoint, adding tokens to a microsite, or proving you read their LinkedIn profile. It's about contextual relevance – and context is far more layered than most programs account for.

Context operates across multiple variables simultaneously:

• Intent and Timing: What’s happening to this account right now? For example, a company that just announced a funding round is in a fundamentally different place to one that just went through layoffs. A prospect who downloaded your whitepaper yesterday requires a different approach to one who went dark months ago. The window of relevance is narrow, narrower than ever before, but a lot of marketing misses it entirely.
  
  
• Relation: Where is this account in its journey with you, specifically? A first-touch interaction demands education and credibility (more on trust later). A mid-funnel account that’s evaluating alternatives needs differentiation and proof. A late-stage deal needs risk reduction and internal alignment support. These are all different conversations that require different messages, content, and channels.
  
  
• Competition: What alternatives are they evaluating, and what narrative are they hearing from your competitors? If you’re showing up with the same generic proposition while a competitor is speaking directly to your prospects’ pain points, you’ve already lost the positioning battle.

• Pressure: What pressure is the buyer facing within their organization? A CFO at a start-up will have far different priorities than a CFO at an established brand exhibiting market growth. Same title, but different motivations, risk tolerances, and decision criteria. Beyond the individual, think about the buying committee: who else needs to be convinced, what do they care about, and what internal politics shape the decision?

The real unlock is creating surround-sound experiences, ones that consider everything about a contact or account – firmographics, role, recent news, industry trends, buying signals, tech stack, competitive moves – to dynamically create and adapt touchpoints in real time across every channel.

This is what separates contextually meaningful ABM from expensive personalization theater. And it’s where the “marketing is easier now” narrative breaks down. 

Orchestrating contextual experiences requires understanding of what matters, when, and why. You can’t automate insight, but you can automate the execution of strategies based on it.

And that’s what helps build trust.

“It’s all about compounding value across multiple touchpoints in ABM. That’s what leads to building trust and therefore revenue.
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- Vincent Plassard, Head of Growth, Userled

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Trust is one of the most important metrics today

Contextual relevance isn’t a nice-to-have. It’s the mechanism through which trust is built, and trust has become the decisive factor in B2B.

Buying committees have expanded. The average B2B purchase now involves 6-10 decision makers, each with their own priorities, risk tolerances, and evaluation criteria. Budgets are under scrutiny now more than ever. Switching costs are high, and the consequences of a bad vendor decision isn’t just about money – it damages the internal credibility of whoever championed the choice.

In such environments, trust isn’t a soft metric. It’s what streamlines long sales cycles, reduces the need for long proof-of-concept stages, and makes champions willing to advocate and recommend you.

B2C figured this out long ago. Brands like Apple, Patagonia, and Liquid Death didn't build empires on superior products alone, they built them on trust compounded across every interaction. A confusing checkout experience erodes trust. Personalized recommendations that actually help build it. Responsive customer service reinforces it. Every touchpoint is either a deposit or a withdrawal, and B2C brands treat it that way systematically.

B2B has historically been structurally incapable of this, not unwilling, but unable. The lack of infrastructure to orchestrate consistent, contextual experiences across marketing, sales, product, and customer success simultaneously. So we optimized for what we could measure: MQLs, form fills, email open rates. We measured the transaction, not the relationship. And in doing so, we trained ourselves to ignore the cumulative experience that makes someone confident in choosing us over a competitor.

That structural barrier is gone. And the companies winning right now are the ones who've internalized that every interaction, from the first website visit to the renewal conversation two years later, is an opportunity to build or erode trust. They're not optimizing campaigns, they're orchestrating experiences.

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AI meets ABM. Scale meets relevancy

If composable tooling solved the infrastructure problem, AI has solved the scale and intelligence problem.

Trust, as we now know, is a cornerstone to business success, and building trust means creating contextually relevant experiences at every touchpoint. And this is where AI is helping organizations to get in front of their ICP.

It’s solving one unified problem: relevance at scale. Marketing knows what to say. Sales knows who to say it to. 

Now they can both reach everyone who matters. 

Think about what contextual relevance demands: you have to track market signals, e.g., funding rounds, layoffs, leadership changes, technology needs, across your entire account list. You need to understand where each account sits in their journey with you, including which competitors they’re evaluating, and what internal pressures their buying committee is navigating.

Doing that for ten accounts is a strategic exercise. Doing it for hundreds is a data challenge – and that’s exactly what AI solves.

Modern AI tools ingest intent data, technographic signals, company news, hiring trends, and real-time engagement to surface which accounts are showing buying signals, what those signals suggest about their context, and how you should engage. In short, they keep the window of opportunity open.

But the more profound shift is upstream: account selection and prioritization itself. Identifying who to go after used to be educated guesswork – build out an ICP, talk to sales, and score and tier manually. AI changed this at a foundational level. It analyzes every closed/won and closed/lost opportunity to surface patterns humans can’t see at scale: which account characteristics actually predict conversion. 

This is where it gets interesting. When account selection is powered by predictive modelling and scoring, propensity analysis, AI-powered market research, and revenue generated, the alignment problem disappears. Marketing and sales see the same patterns. They start to trust the process because it's rooted in outcomes, not the next-best guess.

This is what transforms ABM from a marketing-led initiative into an organization-wide motion, and into ABX.

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From ABM to ABX: When everyone operates from the same intelligence

When everyone, marketing, sales, CS, product, operates from the same account intelligence, ABM goes from something marketing does to how the business works.

It becomes the experience.

Steve Armenti, former head of Demand Generation at Google and now CEO of Twelfth Agency, has been pushing this exact reframing: “When you’re coordinating efforts across marketing, sales, product, and CS to drive successful deals, product adoption, and advocacy, you’re not doing ‘marketing’ anymore. You’re orchestrating an experience.”

That’s ABX – Account-Based Experience.

The distinction matters because when someone in marketing says “ABM”, leadership hears “marketing initiative.” They expect marketing to own it, sales to maybe participate, and results to show up in the marketing dashboard. But when organizations implement ABM successfully, it’s never just marketing. It’s sales using the same account intelligence to prioritize outreach. It’s customer success identifying expansion opportunities. It’s product understanding which features drive stickiness for high-value segments.

ABX just makes this more explicit. You're no longer running campaigns, you're orchestrating experiences across the entire customer lifecycle, from first touch to closed-won, across 1:many, 1:few, 1:1, and deal-based ABM.

So the question isn't "Should we do ABM?" anymore.

It's "Why are we still treating it like a marketing initiative when it's clearly how the business should operate?"

The tools are here. The infrastructure exists. The only thing standing in the way is whether you're ready to stop running campaigns and start orchestrating experiences.

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Ready for ABM at the speed of now?

It's time for full-funnel experiences that buyers remember, and that win enterprise deals.

Talk with the team