Account Based Marketing: Why Most Teams Get the Hard Part Wrong

Account based marketing is a go-to-market approach where sales and marketing align around a defined set of target accounts rather than chasing broad audience reach. Instead of generating leads and hoping the right ones convert, ABM identifies the specific companies worth pursuing and builds coordinated campaigns around them.

The mechanics are straightforward. The execution is where most teams fall apart, and usually for reasons that have nothing to do with technology.

What ABM Actually Is (and What It Is Not)

Account based marketing gets described in a lot of ways. One-to-one marketing. Flipping the funnel. Treating accounts like markets of one. All of these are defensible framings, but they tend to obscure the practical reality of what you are actually committing to when you run an ABM programme.

At its core, ABM is a resource allocation decision. You are choosing to concentrate sales and marketing effort on a smaller number of accounts rather than distributing it across a wide audience. That is the trade-off. More depth, less breadth. More coordinated effort per account, fewer accounts overall.

What it is not: ABM is not a technology platform. It is not a retargeting programme. It is not personalising your email subject lines to include the prospect’s company name. And it is definitely not a way to rescue a pipeline that has dried up because your product-market fit is weak or your sales team has run out of warm leads.

I have seen all of these versions of ABM deployed in the wild. The technology-first version, where a company buys an intent data platform, calls it ABM, and wonders why nothing changes. The cosmetic personalisation version, where marketing spends three months building account-specific landing pages that say “Hello, [Company Name]” and not much else. And the rescue mission version, where ABM gets bolted onto a struggling sales motion as a last resort rather than a deliberate strategy from the start.

None of them work particularly well, because none of them address the actual requirement: genuine alignment between sales and marketing around a shared set of accounts, a shared understanding of what those accounts need, and a shared commitment to doing the work required to earn their attention.

The Three Tiers of ABM (and When Each One Makes Sense)

The industry broadly segments ABM into three tiers, and understanding the distinction matters because they require very different levels of investment and produce very different outputs.

One-to-one ABM, sometimes called strategic ABM, is built around a handful of named accounts, typically ten or fewer. The campaigns are deeply customised. The sales and marketing collaboration is intensive. The content, events, and outreach are built specifically for each account. This is the version that gets featured in case studies, and it is also the version that most companies do not have the resources to run at scale.

One-to-few ABM, sometimes called ABM lite, clusters accounts into small groups based on shared characteristics: same industry vertical, same company size, same pain point profile. You build campaign assets that are relevant to the cluster rather than fully bespoke to each account. This is where most mid-market B2B companies operate, and it is a reasonable place to be if your account selection is disciplined.

One-to-many ABM, sometimes called programmatic ABM, uses intent data and account-level targeting to run personalised campaigns across a broader account list, often hundreds or thousands of companies. The personalisation is lighter, the automation is heavier, and the line between ABM and well-targeted demand generation starts to blur. It can work, but it requires honest scrutiny about whether you are genuinely doing ABM or just calling your retargeting programme something more impressive.

The tier you choose should follow from your average contract value, your sales cycle length, and your capacity to actually execute. A company with a £50,000 average deal size and a six-month sales cycle has very different economics than one with a £500,000 deal and an eighteen-month cycle. The first might run one-to-few ABM sensibly. The second probably needs the full one-to-one treatment for its most important accounts.

ABM sits squarely within the broader discipline of go-to-market strategy. If you want to understand how it connects to channel selection, positioning, and growth planning, the Go-To-Market and Growth Strategy hub covers the wider framework in more depth.

Why Account Selection Is the Hardest Part

Most ABM conversations focus on execution: the content, the channels, the personalisation, the technology stack. Account selection gets treated as a precondition rather than a discipline in its own right. That is a mistake, because bad account selection makes everything else irrelevant.

I have sat in enough planning sessions to know how account selection usually goes. Sales leadership nominates the accounts they have always wanted to win, or the accounts that are already in late-stage conversations, or the accounts that look impressive on a slide. Marketing nods along. Nobody applies much rigour to whether these accounts actually represent the best opportunity, whether the company is genuinely capable of serving them, or whether there is a realistic path to a commercial relationship.

Good account selection starts with your existing customer base. The accounts that have stayed the longest, expanded the most, and referred the most business tell you something important about where you have genuine product-market fit. Work backwards from those. What do they have in common? What triggers preceded their initial purchase? What made them receptive to your proposition?

From there, you build an ideal customer profile that is specific enough to be useful. Not “enterprise companies in financial services” but “UK-based asset managers with between £5 billion and £50 billion AUM who are actively replacing legacy reporting infrastructure.” The specificity is what makes the subsequent campaign work. It is what allows you to write content that lands because it addresses a real and recognisable problem, rather than content that gestures vaguely at an industry.

Intent data can sharpen account selection further. Platforms that track content consumption, search behaviour, and third-party signals can surface accounts that are actively researching solutions in your category. This is useful, but it requires calibration. Intent signals tell you that an account is in-market. They do not tell you whether you are the right fit, whether the timing is genuinely right, or whether the signal reflects a buying committee or a single junior analyst doing background research.

There is also a question that most ABM frameworks do not ask loudly enough: can you actually win this account? Not should you pursue it, but can you win it? Some accounts are structurally difficult: entrenched incumbent relationships, procurement processes that favour established vendors, cultural preferences for larger or better-known suppliers. Pursuing them is not necessarily wrong, but it should be a deliberate choice with eyes open, not an optimistic default.

The Sales and Marketing Alignment Problem

ABM is frequently described as the solution to the sales and marketing alignment problem. In practice, it is more accurate to say that ABM requires you to have already solved the alignment problem, or at least made significant progress on it. If the two functions are operating independently with different goals, different metrics, and different views of what constitutes a good opportunity, ABM will not fix that. It will expose it faster.

The alignment that ABM requires is specific. Sales and marketing need to agree on which accounts to target and why. They need to share a common view of each account’s buying committee: who the decision-makers are, who the influencers are, who the blockers are. They need to coordinate their outreach so that a prospect is not simultaneously receiving a cold email from an SDR and a generic nurture sequence from marketing automation that contradicts the sales narrative.

When I was running an agency and working with enterprise clients on their go-to-market programmes, the single most reliable predictor of whether an ABM initiative would succeed was not the technology they were using or the quality of the content. It was whether the head of sales and the head of marketing were genuinely talking to each other. Not in a quarterly review meeting. In the day-to-day work of deciding which accounts to prioritise, what to say to them, and how to respond when something changed.

The practical infrastructure for this alignment is less glamorous than most ABM vendors would have you believe. It is a shared account list that both functions own. It is a regular meeting, weekly or fortnightly, where specific accounts are reviewed and actions are agreed. It is a shared definition of what “engaged” means at the account level, so that marketing is not claiming credit for page views that sales regards as noise. It is a feedback loop where sales intelligence about what accounts are actually saying informs what marketing produces next.

The Forrester intelligent growth model has been pointing at this for years: sustainable B2B growth requires the whole commercial engine to work together, not just individual functions optimising their own metrics. ABM is one of the clearest tests of whether that is happening.

What Good Personalisation Actually Looks Like

Personalisation is the word that gets used most in ABM conversations, and it is also the word that gets misunderstood most. The version of personalisation that most teams end up executing is surface-level: using an account’s name in copy, referencing their industry, maybe swapping out a hero image on a landing page. This is not personalisation. It is cosmetic customisation, and sophisticated buyers see through it immediately.

Real personalisation in ABM is about demonstrating that you understand the specific business problem the account is trying to solve. It is showing up with insight that is relevant to their situation, not just their industry. It is connecting your proposition to the strategic priorities that are publicly visible in their annual report, their earnings calls, their press releases, their job postings.

Job postings are particularly underused as an ABM intelligence source. If a company is hiring five data engineers and a head of data governance, that tells you something about where they are in their data maturity experience. If they are advertising for a new head of procurement, that tells you something about how their buying processes might be changing. This kind of signal, woven into your outreach and your content, is what makes ABM feel different from a well-targeted demand generation programme.

The content itself needs to match the tier of ABM you are running. For one-to-one ABM, you might commission a custom research piece that benchmarks the account against their peers on a metric they care about. For one-to-few, you might produce an industry-specific case study or a point of view on a regulatory change that affects that cluster. For programmatic ABM, you are probably working with modular content that can be assembled differently for different account profiles.

The channel question is equally important. ABM is not just digital. Some of the most effective ABM programmes I have seen involve physical touchpoints: a well-timed piece of direct mail, an invitation to a small roundtable with genuine peer value, a bespoke briefing document delivered before a meeting. These things take more effort, which is exactly why they stand out in an environment where most B2B communication is digital, automated, and forgettable.

The Measurement Problem in ABM

Measuring ABM is genuinely difficult, and anyone who tells you otherwise is either running a very simple programme or not being entirely straight with you. The difficulty is structural: ABM is designed to influence complex, multi-stakeholder buying decisions that play out over months or years. The standard metrics of demand generation, cost per lead, lead volume, MQL conversion rate, do not map cleanly onto that reality.

The metrics that matter in ABM are different. Account engagement rate: what proportion of your target accounts are showing meaningful engagement with your content, your sales outreach, or your events? Pipeline coverage: do you have enough active opportunities in your target account list to hit your revenue targets? Deal velocity: are accounts moving through the pipeline faster than comparable accounts outside your ABM programme? Average contract value: are ABM-sourced deals larger than your baseline? Win rate: are you closing a higher proportion of opportunities in target accounts?

These metrics are harder to capture than click-through rates, and they require your CRM to be in better shape than most CRMs actually are. That is a real constraint. I have worked with companies where the CRM data was so inconsistently maintained that it was impossible to draw reliable conclusions about pipeline health, let alone attribute specific marketing activities to deal outcomes. Fixing that is not glamorous work, but it is a prerequisite for ABM measurement that means anything.

There is also a longer-term measurement question that most ABM programmes do not stay in place long enough to answer. ABM is partly about building relationships and reputation with accounts that are not ready to buy yet. The account that engages with your content for twelve months before issuing an RFP is a genuine ABM success story, but it only shows up in the data if you have been tracking account-level engagement consistently and connecting it to eventual pipeline. Most companies have not built that infrastructure, which means ABM programmes get measured on short-term pipeline metrics that they were never designed to optimise for, and get cancelled before the longer-term value materialises.

This connects to a broader issue I have spent a lot of time thinking about: the tendency to over-credit lower-funnel activity and under-invest in the work that creates future demand. An ABM programme that is warming up twenty strategic accounts over eighteen months is doing something genuinely valuable, even if the pipeline dashboard does not reflect it yet. The discipline is in having the patience and the organisational confidence to stay the course.

ABM and the Demand Generation Question

One of the more productive debates in B2B marketing right now is about the relationship between ABM and demand generation. They are sometimes framed as alternatives: either you do ABM or you do demand gen. In practice, most companies need both, and the interesting question is how to allocate resources between them.

Demand generation casts a wide net. It builds awareness and interest across a broad audience, generates inbound leads, and creates the pool of potential accounts from which your ABM programme can draw. ABM concentrates effort on the accounts within that pool that represent the highest value and the best fit. The two approaches are complementary rather than competing.

The mistake I see most often is companies that have moved entirely to ABM and abandoned any investment in brand awareness or broad audience engagement. This works in the short term, particularly if you have a strong existing pipeline and a well-defined ICP. Over time, it creates a problem: your target account list becomes stale, your brand recognition outside the accounts you are already pursuing atrophies, and you lose the ability to generate inbound interest from accounts you had not identified yet.

Growth requires reaching new audiences, not just capturing existing intent. I spent years earlier in my career over-weighting lower-funnel performance because the attribution looked clean and the results were easy to report. What I eventually understood is that much of what performance marketing gets credited for was going to happen anyway. The accounts that were ready to buy would have found you. The harder, more valuable work is building the conditions that make accounts ready to buy in the first place, and that requires investment in awareness and reputation that ABM alone cannot deliver.

The Vidyard analysis of why go-to-market feels harder makes a related point: B2B buyers are doing more research independently before engaging with sales, which means the brand and content work that happens before any ABM outreach is increasingly consequential. If an account has never heard of you, your personalised outreach is starting from a significant disadvantage.

Building the Internal Case for ABM

ABM requires upfront investment before it produces results. It requires technology, content, research, and sustained sales and marketing coordination. In most organisations, that means making a case to leadership that involves asking for resources in exchange for outcomes that will not be visible for six to twelve months. That is a harder sell than it sounds.

The most effective way to build that case is to start small and demonstrate the model before scaling it. Pick ten to fifteen accounts that represent your ideal customer profile. Apply genuine ABM rigour to them: deep account research, coordinated outreach, personalised content, regular sales and marketing review. Track what happens over six months. Not just pipeline, but engagement signals, relationship development, and the qualitative feedback from sales about how those conversations are going.

If the model works, the evidence will be visible enough to justify scaling. If it does not work, you will have learned something important about your ICP, your value proposition, or your execution before committing to a full programme. Either outcome is more useful than launching a large ABM initiative with high expectations and discovering twelve months later that the foundations were not right.

The internal stakeholder management question is also worth taking seriously. ABM changes how sales and marketing are held accountable. Marketing is no longer measured primarily on lead volume. Sales is no longer able to deprioritise marketing-sourced accounts without that being visible. Some people in both functions will find this uncomfortable, and the discomfort tends to surface as scepticism about the programme rather than honest conversation about the accountability shift it represents.

I have seen ABM programmes collapse not because the strategy was wrong but because the sales director never genuinely bought into the shared ownership model. They participated in the account selection process, approved the target list, and then continued to manage their team against individual pipeline metrics that had nothing to do with ABM performance. Marketing kept producing content and running campaigns. Sales kept doing what they had always done. The two tracks ran in parallel rather than converging, and after a year of polite non-collaboration, the programme was quietly wound down.

The lesson is that ABM is a change management challenge as much as a marketing strategy challenge. Getting the executive sponsorship right, aligning incentives between functions, and creating genuine shared accountability for target account outcomes are the things that determine whether the programme survives long enough to produce results.

Technology’s Actual Role in ABM

The ABM technology market has grown significantly over the past decade. There are platforms for intent data, account identification, personalised advertising, content personalisation, engagement scoring, and attribution. Some of them are genuinely useful. Most of them are most useful to companies that have already built the strategic and organisational foundations for ABM and are looking for ways to scale what is already working.

The sequence matters. Technology should follow strategy, not precede it. A company that buys an ABM platform before it has a clear ICP, a working sales and marketing alignment model, and a content programme capable of producing genuinely relevant material for target accounts is going to be disappointed. The platform will surface intent signals that nobody acts on, score account engagement against a baseline that has not been properly defined, and produce attribution reports that look impressive but do not connect clearly to commercial outcomes.

The minimum viable technology stack for ABM is less elaborate than vendors would have you believe. A well-maintained CRM, a reliable email platform, LinkedIn Campaign Manager for account-targeted advertising, and a decent analytics setup to track account-level engagement on your website will get most companies further than a complex multi-platform ABM suite that nobody has the time or expertise to use properly.

Intent data is worth a separate comment. Third-party intent data, the kind that tracks content consumption across publisher networks, can be a useful signal but it is not a substitute for first-party intelligence. Your own data, what accounts are visiting your website, what content they are consuming, what they are engaging with in your email programmes, is more reliable and more actionable than third-party signals. Build that capability first before investing in external intent data platforms.

The BCG work on go-to-market strategy makes a point that applies directly here: the commercial advantage in complex B2B markets comes from understanding customer needs more deeply than competitors, not from deploying more sophisticated technology. That is true in ABM as it is everywhere else. The technology is an enabler. The understanding is the competitive advantage.

When ABM Is the Wrong Choice

ABM is not right for every company, and being honest about when it is the wrong choice is as important as understanding when it works.

ABM works best when your average contract value is high enough to justify the investment in deep account engagement, when your sales cycle is long enough that sustained relationship-building has time to compound, and when your total addressable market is defined enough that you can identify the specific accounts worth pursuing. If you are selling a product with a short sales cycle, a low average contract value, and a broad potential customer base, the economics of ABM probably do not make sense. Demand generation and product-led growth are likely better fits.

ABM is also the wrong choice if your product or service has a fundamental problem. I have seen companies use ABM as a way to apply more sophisticated marketing pressure to accounts that are not converting, when the real issue is that the value proposition is not compelling enough or the product is not mature enough to compete at the enterprise level. ABM concentrates your message and your effort, which means a weak proposition fails more visibly and more expensively than it would in a broad demand generation programme.

There is a version of this that I think about in terms of what marketing is actually for. If a company genuinely delighted every customer at every opportunity, word of mouth and reputation would do a significant amount of the growth work. Marketing, including ABM, is sometimes a way of compensating for a product or service that is not quite as good as it needs to be. That is a legitimate use of marketing, but it is worth being clear-eyed about it. ABM applied to a product with a genuine product-market fit problem will produce a more efficient path to the same disappointing outcome.

The question to ask before committing to ABM is: do we have a go-to-market execution problem, or do we have a product-market fit problem? ABM can address the first. It cannot address the second. If you are not sure which one you have, the answer is probably to do more customer research before investing in a sophisticated outbound programme.

Running ABM in Practice: What the First 90 Days Look Like

Most ABM frameworks describe the steady-state programme. What is more useful for most teams is a clear picture of what the first ninety days actually involve, because that is where most programmes either build momentum or lose it.

The first month is almost entirely preparation. Define your ICP with enough specificity to be useful. Analyse your existing customer base to identify the common characteristics of your best accounts. Build your initial target account list with sales input and apply some rigour to the selection criteria. Audit your existing content against the needs of your target accounts and identify the gaps. Agree on the metrics you will use to evaluate the programme and make sure your CRM can actually capture them.

The second month is about account intelligence and early engagement. Research each target account in depth. Map the buying committee. Identify the specific business challenges that your proposition addresses for each account or account cluster. Begin light engagement, typically LinkedIn connection requests, relevant content sharing, and low-pressure outreach that demonstrates you have done your homework. Start producing the first wave of personalised content.

The third month is where the coordinated programme begins in earnest. Sales outreach supported by marketing content. Account-targeted advertising running against your list. Engagement signals being tracked and reviewed in your regular sales and marketing sync. Early adjustments based on what is working and what is not.

The temptation in the first ninety days is to move too fast. To skip the account research and go straight to outreach. To launch the advertising before the content is ready. To set up the technology before the strategy is clear. Resist it. The accounts you are targeting are sophisticated. They can tell the difference between outreach that reflects genuine understanding of their situation and outreach that is personalised in name only.

For a broader view of how ABM fits within a full go-to-market framework, including channel strategy, positioning, and growth planning, the Go-To-Market and Growth Strategy hub covers the strategic context that ABM sits within.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

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