Service 16 · ABM
Only about 5% of your market is in-market at any moment. Account-based marketing keeps you present with the other 95% until they are: a finite list of named accounts, coordinated ads and outreach around each buying committee, and success measured in account penetration and pipeline, never lead volume.
The list is built on three layers: firmographic fit (industry, employee band, revenue, tech stack), behavioral intent (third-party signals, deanonymized site visits, hiring and funding events), and contact access, are the right people identifiable and reachable? Sales signs the list before a dollar is spent. Teams using intent data report 3 to 5 times higher outreach response rates.
Every account gets scored 1–3 on fit and 1–3 on intent, a simple 3×3 matrix beats a black-box model at this stage, and lands in a tier with its own economics: 1:1 (20–50 strategic accounts per rep, custom campaigns), 1:few (clusters of 50–100 grouped by industry or use case), 1:many (programmatic coverage of the rest). Accounts are rescored monthly as intent shifts.
Then the buying committee: 4 to 10 named contacts per account, economic buyer, technical buyer, day-to-day user, champion candidate, because enterprise deals average 6 to 10 decision-makers. Reaching one or two contacts per account is the most common ABM failure, so committee-coverage targets go in the SLA.
LinkedIn is the only channel that can target by company list and role reliably. Company lists sync from CRM, layered with job function and seniority so ads reach committee roles inside listed accounts only, with exclusions for customers, competitors, and irrelevant functions on everything.
Creative maps to tier: Tier 1 gets ads that name the account's industry problem specifically, 1:few gets industry and persona versions, 1:many gets the strongest ICP-wide proof. Thought-leader ads carry the trust load, document ads capture, and retargeting sequences walk engaged committee members from problem to proof to a direct ask.
The sales SLA makes it a program instead of two parallel campaigns: shared tier definitions, what counts as a Marketing Qualified Account, surge-alert handoffs with agreed response windows, sales touch cadences, and a fixed bi-weekly review of account movement.
Leading indicators read in weeks: account coverage (share of the list reached), account penetration (share of the known committee engaged, one contact out of eight is 12.5%, not 'covered'), and target-account site visits trending up. Lagging indicators read in months: MQAs, meetings with listed accounts, opportunities created, influenced pipeline, and sales-cycle length versus non-ABM deals.
ABM is bought on CPM and engagement quality; no credible universal cost-per-lead exists, and that is a feature of the model. Industry studies put well-run ABM at up to 50% higher ROI than broad campaigns with about 14% better pipeline conversion, and a documented LinkedIn ABM program generated $1.5M in pipeline within months. Quarterly, the list itself gets refreshed: dead accounts out, surging accounts promoted, win/loss patterns fed back into the ICP.
Fit, intent, and contact-access layers; sales signs the list before spend moves.
A 3×3 fit-intent matrix sorts accounts into 1:1, 1:few, and 1:many treatment.
4–10 contacts named per account, buyers, users, champions, with coverage targets.
CRM-synced company lists layered with role targeting; creative depth follows tier.
MQA definitions, surge alerts, response windows, and a bi-weekly review, in writing.
Coverage, penetration, MQAs, meetings, and influenced pipeline, quarter over quarter.
ABM lives or dies on the unglamorous parts: list quality, committee coverage, and a sales agreement with teeth. The program builds those first, then delivers through LinkedIn because it's the only channel that targets company lists and roles reliably. Measurement runs by account from day one.
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Weeks 1–6
Every 2 weeks
Every month
Every quarter
The stack we run for this
LinkedIn Campaign Manager
HubSpot
Apollo.io
Google Analytics 4
Looker StudioTargeting logic and scorecard. Ads chase personas at any company; ABM chases named accounts, coordinates with sales on each one, and is graded on account penetration and pipeline created rather than lead volume. The ads are one delivery mechanism inside a program that also includes list governance, committee mapping, and a written sales agreement.
Typically 100 to 500 in total: 20 to 50 strategic accounts per rep in the 1:1 tier, clusters of 50 to 100 in 1:few, and the remainder in programmatic 1:many coverage. Smaller and tighter beats bigger and shallow, because committee penetration is what converts and depth costs attention.
Engagement signals appear in four to six weeks, meetings in one to two quarters, and reliable pipeline conclusions at six to twelve months for enterprise cycles. Anyone promising pipeline in 30 days is selling lead gen with an ABM label. We report coverage, penetration, and engaged accounts from the first month so progress is visible early.
List sign-off, follow-up within agreed windows when accounts surge, honest feedback on meeting quality, and attendance at a bi-weekly review. Marketing cannot run ABM around a sales team; the SLA exists because the most common failure mode is two teams running separate campaigns at the same account list.
No, but plan for it. Fit-only lists work for a first quarter; lists combining fit and intent respond three to five times better in outreach, so most programs add third-party intent signals and site deanonymization by quarter two. We treat intent as a scoring layer that promotes accounts between tiers, never as a substitute for ICP fit.
Adjacent disciplines
