Account-based marketing gets sold as an enterprise discipline: expensive intent data, a dozen tools, and a dedicated team per account. In practice the model works for teams of two as long as you accept the core trade-off — you stop chasing volume and start choosing accounts deliberately. That choice, not the software, is what moves pipeline.

This guide covers how account-based marketing works when you cannot afford a platform, what to build first, and how to tell whether it is working before you have spent a quarter on it.

What account-based marketing actually changes

Traditional demand generation optimises for reach: more leads, lower cost per lead, marketing qualified leads handed to sales. Account-based marketing inverts the funnel. You pick a defined list of companies that fit your best customers, then run coordinated marketing and sales activity against each one until there is a decision.

The practical differences:

  • The unit is the account, not the lead. Five people at one company may be involved; they are one target, not five records.
  • Personalisation must be real. Not “Hi {{first_name}}” — reference their market, their hiring, their product launch, their public priorities.
  • Sales and marketing share the list. If the list is marketing’s and the outreach is sales’s, the model fails quietly.
  • Success is pipeline and closed revenue, not engagement. Opens and clicks are diagnostics, not outcomes.

Start with the list, not the tools

Build a target list of twenty to fifty accounts. Fewer if your deal size is large. The criteria should be observable, not aspirational: industry, size band, technology in use, recent funding or hiring signals, geography, and an existing relationship if one exists.

Then score each account on two axes — fit (how much it looks like your best customers) and readiness (evidence of a problem you solve now). The top-right quadrant is where you start. Accounts that fit but are not ready get nurtured; accounts that are ready but do not fit get deprioritised.

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Write down why each of the first ten accounts is on the list. If you cannot articulate it in one sentence, the targeting is still too vague to personalise against.

Map the buying group

Every B2B purchase involves three to six people: an economic buyer, a champion, technical evaluators, and often a blocker. For each account, name the people you know and the roles you are missing. That gap is your outreach plan.

Content should be assigned by role rather than by funnel stage. A CFO wants a payback model; a department head wants a workflow that removes a recurring headache; an IT reviewer wants security and integration answers. One brochure cannot serve all three.

The minimum viable stack

You do not need an ABM platform to start. You need a shared list, a way to see activity across the account, and a cadence.

  1. A spreadsheet or a CRM view listing accounts, buying-group contacts, last touch, and next step. Shared with sales, editable by both.
  2. Advertising against the list — a small budget on LinkedIn or search, targeted by company name, if the list is large enough to justify it.
  3. One personalised asset per tier. A short audit, a benchmark, or a teardown specific to the account’s situation.
  4. A weekly thirty-minute review. What moved, what stalled, what to do next. This meeting is the engine.

Sequencing that does not feel like spam

Coordinated does not mean simultaneous. A workable sequence for one account over three weeks:

Week one: a genuinely useful, specific piece of value — an observation about their setup, no ask. Week two: a connection or referral route into a second stakeholder, not a follow-up nudge. Week three: a clear, low-friction ask, with an alternative if they are not ready.

Meanwhile marketing keeps the account warm with targeted ads and a relevant case study. The point is that when the sales touch lands, the company already looks familiar.

Measuring whether it works

  • Account penetration — how many of the mapped buying group you have actually engaged.
  • Meetings per account — the leading indicator that usually moves first.
  • Pipeline created from the list, not from all sources.
  • Cycle time compared with non-ABM accounts of similar size.
  • Win rate on the list versus the rest of the funnel.

Expect meetings per account to move in weeks, pipeline in a quarter, win rate in two. If nothing moves in six weeks, the list or the offer is wrong — do not scale spend to compensate.

Mistakes that make ABM expensive

Choosing too many accounts. Two hundred accounts with two people is traditional demand generation with extra steps.

Personalising the greeting instead of the argument. Surface-level personalisation is detected instantly and costs credibility.

Marketing running it alone. Without sales ownership of the list and the outreach, accounts get worked inconsistently and the data lies.

Buying the platform first. Tools industrialise a process you have not yet proven. Prove it on twenty accounts in a spreadsheet.

Judging it in month one. ABM is slower to start and faster to compound. Give it a quarter with a fixed list before changing the model.

A four-week starting plan

Week one: select twenty accounts and write the one-sentence rationale for each. Week two: map buying groups and identify the missing roles. Week three: produce one personalised asset for the top five accounts and launch the first sequence. Week four: review what moved, kill what did not, and add ten more accounts.

That is enough to know whether the motion fits your market. If it does, the next investment is process, not platform.

If the list-building side is the bottleneck, our playbook on B2B lead generation tools covers data sources, and customer acquisition cost explains how to judge whether the accounts you win are worth the effort.

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