Why account-based marketing programmes stall before producing sales, and what the companies that make it work do differently, from the target list to the metrics.
Account-based marketing (ABM) means picking a defined list of companies you want as customers and having marketing and sales work them together, with tailored outreach, instead of chasing anyone who fills in a form. It is easy to start and hard to keep going. Many teams spend months, and often a significant software budget, building target lists, see no new sales opportunities, and quietly go back to ordinary lead generation.
Most ABM programmes fail at execution, not strategy. The account list is chosen without sales, the team tries to run too many accounts at too many levels of personalisation, and success is measured by lead volume, which ABM was never designed to produce. The companies that make it work choose fewer accounts together with sales, match the effort to the size of each opportunity, and judge the programme on what happens inside those accounts.
This article covers the six points where execution breaks down: the account list, the working rhythm between sales and marketing, the level of personalisation, the message itself, buying signals and measurement. It ends with five steps you can take this month.
The target list is where most programmes first go wrong. Lists that marketing builds alone tend to be aspirational: well-known names that look good on a slide but have no particular reason to buy. Lists that sales builds alone tend to be the deals they were already working, which adds little. The real ABM list is the overlap: accounts marketing can reach efficiently and sales genuinely wants to win.
Build it in a working session with both teams, starting from your best existing customers and what they have in common: sector, size, country, the systems they use and the problem that brought them to you. Then score each candidate account against five criteria:
For most growing businesses, a first list of 30 to 50 accounts is enough. Keep it fixed for at least two quarters, because a list that changes every month makes every result impossible to read.
ABM depends on sales and marketing acting on the same account at the same time, and most companies are not organised that way. Marketing runs campaigns to a calendar; sales works deals in order of urgency. Without a shared rhythm, the ads and emails go out, an account starts to engage, and nobody calls.
Fix this with a short weekly meeting, thirty minutes at most, between the salespeople and marketers on the programme. Review which accounts engaged last week, decide who follows up and how, and note what you learned. Then write down a simple follow-up rule, for example: when a target account asks for a meeting, or three of its people engage within a week, the account owner makes contact within two working days.
This is less exciting than buying an ABM platform, but it is what decides the results. ABM is not a marketing campaign; it is a way for sales and marketing to work the same accounts together. If sales does not co-own it from the first week, it will not work.
ABM is not a marketing campaign; it is a way for sales and marketing to work the same accounts together.
ABM is a spectrum rather than a single programme, usually described in three tiers. As a rough guide, one-to-one ABM covers five to ten strategic accounts, each with its own plan, custom content and senior people from both teams. One-to-few ABM groups similar accounts, perhaps 20 to 50 in all, and gives each group a campaign tailored to its sector or situation. One-to-many ABM reaches hundreds of accounts with automated targeting and lighter personalisation, such as sector-specific ads and landing pages.
The common mistake is running all three at once with the budget and people for one. Each tier becomes a weak copy of itself: the strategic accounts get generic material, and the one-to-many campaigns never reach enough accounts to work.
For most growing businesses, one-to-few is the right place to start. Picture a company that sells software to logistics firms, with one marketer and three salespeople: it chooses 36 accounts in three groups of twelve (freight forwarders, warehouse operators and courier firms), writes one strong piece of content on each group's main problem, runs LinkedIn ads to those companies, and gives each salesperson one group to work personally. That is achievable; tailoring for 300 accounts with the same team would not be.
Personalisation in ABM is often reduced to putting the company's name in an ad or an email subject line, which rarely impresses anyone. Real relevance means showing that you understand the problem this kind of company faces, in its market and at its size, and what solving it is worth. For the freight forwarders above, that could be a short analysis of where margin leaks in their quoting process, with a worked example in euros, rather than a brochure with their logo on the cover.
Then reach several people in each account, not just one. A purchase typically involves someone who uses the product, a manager who answers for the results and someone who approves the budget, and each needs a different argument: ease of use, results for the team, cost against benefit. If your only contact leaves or loses interest, an account with three engaged people is still alive.
Sequence the touches so they build on each other. Ads make the name familiar, useful content gives people a reason to engage, a personal message from the salesperson refers to that content, and an invitation to something worth attending, such as a small roundtable for the group, turns attention into a conversation.
Even on a good list, most accounts are not buying at any given moment. Signs that an account is actively researching, usually called intent data, tell you where this month's effort should go.
Start with your own data: several people from one target account opening your emails or engaging with your LinkedIn ads, a known contact returning to your pricing page, a request for a case study, or a job advert for a role your product supports. Some tools identify companies from anonymous website visits; before you install one, check how it handles personal data under the General Data Protection Regulation (GDPR).
Third-party intent data providers go further, tracking which companies read about your category across large networks of business websites and flagging sudden increases. That is useful for ranking a list, but it shows interest, not a decision to buy, and coverage varies by country and language. Before you sign, ask for a trial on your own target accounts and compare the results with what your sales team already knows.
Then make the signals change behaviour. Each month, move high-signal accounts to the top of the sales call list and raise ad spend on them, and scale back on accounts that have shown nothing for a quarter. After two or three months, check whether high-signal accounts reply more often than the rest; if they do not, your signals are noise.
Judging ABM by lead volume misses the point. A programme aimed at 40 companies will never produce hundreds of leads, and if it is judged that way it will be cancelled just as it starts to work. Use account-level measures instead:
Set expectations by time. In the first three months, look for engagement from the right people in the right accounts, and by six months you should see opportunities. Win rates and revenue need a full sales cycle, which in many business-to-business markets takes six months or longer.
As an illustration, after twelve months 24 of your 40 target accounts are engaged and ten have had qualified opportunities; of the eight decided so far, you won three, at an average of €40,000 a year. Outside the list, you win about one in five qualified opportunities, at an average of €25,000. That is a win rate of about 38% against 20%, on deals worth 60% more, and that comparison, set against what the programme costs, tells you far more than the lead count about whether ABM is paying off.