Account list. Persona-level messaging. Sales and marketing working together. Get those three right and the rest is detail. Get any one wrong and the rest is wasted.
TL;DR: Most of what gets sold as ABM is noise stacked on top of three things that actually decide the outcome: the account list, persona-level messaging, and sales and marketing genuinely operating as one team. This is what each looks like done well, what it looks like done badly, and why the third is the one almost everyone fails. If you only read one section, read the third.
What ABM actually is
Account-based marketing is a B2B strategy where sales and marketing pick a defined set of high-value accounts and go after them with personalised campaigns, instead of casting a wide net and hoping leads fall out of it.
That’s the whole idea. Demand generation asks “how many leads can we get?” ABM asks “how do we win these specific companies?” One optimises for volume at the top of a funnel. The other optimises for depth against a named list. If you’ve ever run a campaign that generated a thousand leads and not one deal your sales team wanted, you’ve felt the gap ABM exists to close.
It isn’t new, and it isn’t a tool. The term was coined by ITSMA back in 2003, long before anyone was selling you a platform for it. What’s new is how much the way people buy has swung in ABM’s favour, and how much noise now sits between you and doing it well.
Strip ABM back and almost nothing survives
There is an enormous amount of noise in ABM. Platforms, intent data, orchestration layers, attribution models, dimensional mailers, fifteen-stage journey maps. Some of it helps. Most of it is decoration on a decision that was already made or already lost.
Strip it all back and three things decide whether an ABM program works. The accounts you chose. The messages you sent them. And whether sales and marketing actually operated as one team while you did it.
That’s it. Everything else is in service of those three, or it’s in the way.
And the way people buy now makes getting them right non-negotiable. The average B2B purchase involves 13 stakeholders, according to Forrester’s State of Business Buying 2024, and nearly 89% of decisions cross multiple departments. Gartner puts the core buying group at 6 to 10 decision-makers for a complex purchase, each arriving with four or five pieces of research they gathered on their own before they ever spoke to a vendor. Those same buyers now spend just 17% of the entire purchase journey talking to potential suppliers, and only 5 to 6% with any single sales rep. You are being evaluated by a committee, mostly while you’re not in the room, against companies you’ve never met.
Spray-and-pray was always weak. Against a buying process that looks like that, it’s finished. Here’s what each of the three fundamentals looks like when it’s done properly, and what it looks like when it quietly kills the program.
1. The account list
The list is the one decision that constrains every other decision. Pick the wrong accounts and there is no message, no creative, and no amount of sales follow-up that fixes it. You’re just executing well against companies that were never going to buy.
And yet the list is the step teams rush. It’s unglamorous. It’s a spreadsheet and a series of arguments, not a campaign you can show anyone. So it gets done in an afternoon, and the program spends the next six months paying for it.
Done badly
Someone exports the total addressable market, sorts by company size, takes the top 200, and calls it a target account list. No one in sales has looked at it. Half the accounts have an incumbent on a contract that doesn’t renew for two years. A quarter are the wrong size to afford the product. A handful are already customers. The list looks impressive in a deck and converts like a cold email blast, because that’s effectively what it is.
The other failure is the wishlist. A founder names the ten logos they’d love on the website, the team adds forty more in the same spirit, and now the program is built around aspiration instead of evidence. Aspirational accounts feel good and close at close to zero.
Done well
A good list is researched, scored, and sales-validated before a cent gets spent. Every account is on it for a reason you can say out loud: a real fit on size and need, a credible right to win, and ideally a trigger that says now rather than someday. A contract coming up for renewal. A new regulation. A leadership change. A funding round. A platform migration that opens a door.
This is the part of ABM that has changed most in the last two years, and it’s worth paying attention to. The best programs have stopped treating the list as a static thing you build once and work for six months. They treat it as a live list that re-sorts itself as accounts move. The whole industry is shifting from fixed target lists to signal-based targeting, prioritising accounts on real buying signals rather than a database snapshot from last quarter. An account that raised funding this week is a different prospect than it was a month ago. If your list can’t see that, you’re working yesterday’s priorities. This is exactly the gap our always-on signal layer is built to close.
The simplest test of a good list is still the oldest one: read the names to your sales team. If they recognise the accounts and can tell you why each one is worth pursuing, you have a list. If they shrug, you have a spreadsheet, and you start again. We’ve watched a program’s whole trajectory change just from cutting a 150-account list down to the 40 that survived that conversation. Building that list properly is where every engagement of ours starts.
2. Persona-level messaging
You picked the right accounts. Now you have to say something the people inside them actually care about. And “the people,” plural, is the whole point, because B2B purchases are made by committees, not individuals.
The numbers here are stark. That committee of 13 doesn’t agree with itself. Gartner’s 2025 research found that 74% of buying teams experience what it calls “unhealthy conflict” during the decision, and that the groups who do reach consensus are 2.5 times more likely to call the outcome a high-quality decision. So you’re not writing for one person nodding along. You’re writing for a roomful of people who don’t fully agree with each other, each measuring you against a different worry, and your job is partly to help them agree.
Done badly
One message, blasted at everyone. Usually it’s about the product, because the product is the thing the company finds easiest to talk about. “Here’s what we do, here’s why it’s better, here’s a demo.” The CFO reads it and sees no mention of cost or risk. The end user reads it and can’t tell if it makes their day easier or harder. The technical evaluator reads it and finds nothing to evaluate. So the message lands with no one, and the committee moves on.
The lazier version is mail merge dressed up as personalisation. “Hi {FirstName}, I saw {Company} is doing great things in {Industry}.” Everyone can smell it. A merge field is not a message. It’s a template wearing the buyer’s name as a costume, and it tells them precisely how little you understand their situation.
Done well
Persona-level messaging starts from the buyer’s problem and is written differently for each role on the committee, because each role carries a different version of that problem. The economic buyer cares about cost, risk, and what happens to them if it goes wrong. The technical evaluator cares about whether it actually works and what it’ll take to run. The end user cares about whether their week gets better or worse. Same product, three arguments.
But here’s the nuance most people miss, and the same Gartner research proves it: personalising too far in the wrong direction actually backfires. Content tailored to narrow individual relevance was found to hurt group consensus by as much as 59%, because it reinforces each stakeholder’s private view and pulls the committee apart. So the three arguments can’t be three unrelated pitches. They all have to ladder up to one organising idea: the problem the account actually has, named more precisely than the competition is naming it. Not “we help with compliance,” but the specific cost of the specific thing that’s broken in their world right now. Personalise the angle for each role, but anchor all of it to one shared problem the whole group can rally around.
And because buyers spend only 17% of their time with vendors, your message has to keep working after you’ve left the room. When you get it right, the first thing a stakeholder reads makes them feel like the campaign was built for their exact situation, because it was, and then that stakeholder becomes your champion and sells the case to the rest of the committee when you’re nowhere near it. That’s the entire job of the messaging: not to close the room while you’re in it, but to arm the one person who’s in it when you’re not.
3. Sales and marketing working together
This is the one almost everybody fails, and it’s the one that decides whether the first two ever pay off. You can pick a perfect list and write perfect messages, and a broken handoff between sales and marketing will still waste all of it.
The cost is not theoretical. Misalignment between sales and marketing is estimated to cost businesses around a trillion dollars a year, and by most industry counts only a small fraction of companies report strong alignment between the two functions. But the honest version of the data is simpler than any single statistic: leadership almost always thinks alignment is fine, and the people actually doing the work almost always know it isn’t. The gap between those two views is where programs die.
Done badly
Marketing builds the program in isolation, runs it, generates some engaged accounts, and throws them over the wall to sales. Sales, who never saw the list and weren’t asked, treat the handoff as marketing’s pet project and don’t follow up for a week. The account, warm on Tuesday, is cold by the time anyone calls. Marketing reports “meetings booked.” Sales reports “leads were weak.” Both are describing the same broken handoff from opposite sides, and the program gets cancelled at the next budget review.
The quieter failure is the missing follow-up. Marketing books a meeting, sales reschedules it twice because no one blocked the time, and the buyer reads the chaos as exactly what working with you will be like. We’ve seen genuinely strong campaigns lose accounts purely because the calendar logistics fell apart after the hard part was already done.
Done well
Sales is in the room before the program launches, not after. They help build and validate the list. They weigh in on the messaging because they’re the ones who’ll have the conversations. And once it’s live, both teams sit in a standing weekly session looking at the same accounts and the same data, deciding together what to push, what to drop, and who to follow up.
When something engages, sales knows within hours, not days, and the follow-up is fast and informed because they already know the account and the message it received. The program stops being “marketing’s campaign that sales tolerates” and becomes one motion with two teams running it. In ABM that’s not a process nicety. It’s the difference between the list and the messaging turning into pipeline, or turning into a nice-looking report nobody acts on. A standing weekly war room is built into how we run every campaign, for exactly this reason.
How to run an ABM program, in order
If the three fundamentals are the what, here’s the how. The order matters more than almost anything else, because each step depends on the one before it.
- Pick your model first. Decide whether this is 1:1 (a handful of huge accounts, deeply bespoke), 1:few (small clusters that share a problem, semi-personalised), or 1:many (a larger list, personalised by segment and signal). Most B2B SaaS companies overreach here and try to run 1:1 economics across a list that should be 1:few. Get this wrong and every downstream cost is wrong.
- Build and validate the list. Score by fit, revenue potential, and a real trigger. Then read it to sales. Cut anything they can’t justify.
- Map the buying committee. For each account, name the economic buyer, the technical evaluator, the end users, and the people who sway them. You’re planning to reach a group, not an inbox.
- Write the messaging from the problem, per role. One organising insight about their world, three arguments for three roles, all laddering to the same problem. Never lead with the product.
- Get sales and marketing in one room before launch. Shared list, shared targets, shared definition of what a good outcome is. Book the standing weekly session now, not later.
- Activate across the channels the committee actually uses. Sequenced, multi-touch, tiered by account value. Effort follows potential.
- Watch for signals and act fast. The account that just moved is the account to work this week. Detecting the signal is now common. Acting on it the same day is where most teams still fall down, and it’s where the pipeline is.
- Measure accounts, not leads, and optimise live. More on that below.
None of this is exotic. It’s just unglamorous and hard, done in the right order, which is exactly why so few programs do it.
The types of ABM: 1:1, 1:few and 1:many
Three flavours, and picking the wrong one is one of the most expensive mistakes in ABM.
1:1 (strategic ABM) is deep, bespoke work against a tiny number of very large accounts, sometimes a single account. Genuinely tailored everything. It’s powerful and it’s expensive, and it only makes sense when a single account is worth enough to justify that cost.
1:few (ABM lite) groups a small number of accounts that share the same problem and treats them as a cluster. Semi-personalised, far more efficient than 1:1, and for most B2B SaaS companies it’s the sweet spot: personal enough to land, cheap enough to sustain.
1:many (programmatic ABM) runs across a larger list, using data and signals to personalise by segment rather than by account. It scales, but it’s the closest of the three to demand gen, and it lives or dies on the quality of your data and signals.
Most programs shouldn’t pick one. They should run a tier structure: 1:1 for the handful of accounts that justify it, 1:few for the middle, 1:many for the long tail. What kills programs is applying 1:1 effort and cost to a list that only ever justified 1:few.
Why these three, and not the other forty
Notice what isn’t on the list. Not the platform. Not the intent data. Not the dimensional mailer or the personalised microsite or the orchestration software. Those things can help a program that has the three fundamentals right. None of them rescues a program that doesn’t.
A six-figure ABM platform pointed at a bad list just helps you reach the wrong accounts faster. Beautiful creative carrying a product-led message still bounces off a committee that needed to hear about its own problem. And the slickest tooling on earth can’t close the gap between a sales team and a marketing team that don’t talk. The tools amplify whatever’s underneath. If what’s underneath is broken, they amplify the breakage.
This is truer now, not less, in the age of AI. As Demandbase puts it plainly, AI won’t fix a broken ABM program; it amplifies whatever is already there, for better or worse. Surveys of hundreds of practitioners in Userled’s 2026 research found the single strongest predictor of ABM success isn’t the technology, the budget, or the size of the team. It’s whether the AI and automation are built on solid fundamentals and clean, current data. AI pointed at a bad list writes personalised nonsense to the wrong accounts, faster and at greater scale than any human could. The fundamentals didn’t get less important when the tools got smarter. They got more important, because the tools now amplify your foundation at a speed you can’t manually correct.
This is also why so much ABM disappoints despite near-universal adoption. Around 85% of B2B marketing leaders now run some form of account-based strategy, and companies that run ABM well consistently report better ROI than traditional marketing. Yet most programs underperform. The fundamentals are unglamorous and hard. The tooling is exciting and easy to buy. So teams buy the tooling, skip the fundamentals, and wonder why the program underdelivered. They had the noise. They skipped the signal.
How to measure an ABM program
Measure accounts, not leads. That one sentence separates real ABM reporting from demand gen wearing an ABM costume.
The metrics that matter, in rough order: account engagement (how many named accounts are engaged, and how deeply, meaning multiple stakeholders and multiple touches rather than one opened email), buying committee coverage (how much of the committee you’re actually reaching), pipeline created and influenced, and revenue. Impressions, ad reach and lead volume are not ABM metrics. If a number doesn’t connect to an account moving or a commercial outcome, it doesn’t belong in the report.
The trap to avoid: engagement is the easiest metric to inflate and the easiest to fool yourself with. An account tile lighting up because one junior person clicked an ad three times is not the same as three committee members engaging, even though a simple dashboard shows them the same colour. Depth is the honest signal. Coverage is the honest signal. A rising engagement score with no committee coverage behind it is a vanity metric with better lighting.
Get the order right
Get the account list right. Get the messaging right for every role on the committee. Get sales and marketing genuinely working as one team. Then, and only then, go shopping for the things that make a good program better.
In that order. The order matters more than almost anything else you’ll read about ABM this year.
Frequently asked questions
What is account-based marketing?
Account-based marketing (ABM) is a B2B strategy where sales and marketing target a defined set of high-value accounts with personalised campaigns, rather than casting a wide net for leads. Instead of asking how many leads a campaign can generate, ABM asks how to win a specific list of named companies, and coordinates both teams around that goal.
What’s the difference between ABM and demand generation?
Demand generation optimises for volume: the most leads at the top of the funnel. ABM optimises for depth against a named list of accounts you’ve decided are worth winning. Demand gen counts leads; ABM counts engaged accounts and pipeline from the target list. Many companies run both, but they answer different questions and should be measured differently.
What’s the most important part of an ABM program?
The account list, because it constrains everything else. The wrong accounts can’t be saved by good messaging or good follow-up, since you’re executing well against companies that were never going to buy. A list that’s been researched, scored, and validated with sales, and that stays current as accounts move, is the single highest-leverage decision in the whole program.
What are the types of ABM?
Three: 1:1 (deeply bespoke work against a tiny number of very large accounts), 1:few (small clusters of accounts that share a problem, semi-personalised), and 1:many or programmatic (a larger list personalised by segment and signal). Most strong programs run all three as tiers rather than picking one, matching the effort to what each account is worth.
How is persona-level messaging different from personalisation?
Personalisation, as most people use the word, means inserting a name or company into a template. Persona-level messaging means writing genuinely different arguments for the different roles on a buying committee, because the economic buyer, the technical evaluator, and the end user each carry a different version of the same problem. A merge field tells the buyer how little you understand them. A message built for their actual role, laddering up to one shared problem, tells them the opposite.
Why do sales and marketing struggle to align on ABM?
Because the default operating model is a handoff, not a partnership. Marketing builds and runs, then passes engaged accounts to sales, who never helped choose the list and treat the leads as someone else’s project. Leadership usually believes the two teams are aligned while the people doing the work know they aren’t. ABM only works when both teams are in the room from the start and reviewing the same accounts together every week.
Do I need an ABM platform to do this well?
No. Platforms add orchestration, intent data and AI that become genuinely useful once the fundamentals are in place, but they don’t create the fundamentals. A six-figure platform pointed at a bad list just reaches the wrong accounts faster, and AI does it faster still. Get the list, the messaging, and the sales-marketing partnership right first, then buy tools to make a working program better, not to paper over a broken one.
How do you measure ABM success?
By accounts, not leads. Track account engagement and its depth, buying committee coverage, pipeline created and influenced, and revenue. Avoid vanity metrics like impressions, ad reach and raw lead volume. If a metric doesn’t connect to an account moving toward a decision or to a commercial outcome, it doesn’t belong in an ABM report.
Author: Tim Brennan, Slightly Strategic. Tim has run ABM programs across APAC for B2B SaaS and technology companies, spanning account strategy, persona-level messaging, and full-funnel execution.
If your last ABM program didn’t deliver, we’d be interested in hearing what happened. Nine times out of ten it traces back to one of these three, and most of the time it’s fixable. We run a free 30-minute ABM diagnostic for B2B SaaS companies with ACV above $30K. No pitch, no slide deck. Book one here.
