ABM

Pick the accounts, map the buying group, run the plays, and measure account progression.

9 skills, curated by hand.

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ABM27

Emilia Korczynska

zenabm.comVP of Marketing @ Userpilot

LinkedIn ABM strategy planner

Use this skill when someone wants an ABM strategy, an ABM plan, a LinkedIn ABM campaign plan, help planning LinkedIn ads for account-based marketing, how much budget they need for ABM, how many ads or campaigns they can run, or an ABM budget and audience plan. The skill asks a few questions about goals, deal economics, budget and ICP, researches the company website, computes the funnel and budget math, and produces a personalized "[Company] LinkedIn ABM Strategy" document (HTML → PDF).

ABM0

Ivan Falco

frontal.soAds Engineer @ Frontal

Account selection framework

Use this skill when building, scoring, or managing a target account list for ABM — reverse-engineering how many accounts you need from revenue targets, ICP fit scoring, tiering, list staging, and ongoing list hygiene.

ABM0

Justin Rowe

impactable.comFounder & CMO @ Impactable

ABM account engagement report

Use this skill when the user has account-level LinkedIn ad data (a rate accounts CSV) plus pipeline data and wants a client-facing ABM Account Engagement Dashboard: an account funnel (Reached to Opportunity), a scored hot-account leaderboard, pipeline cards with named contacts and keywords, cross-channel signals, segment analysis, an engagement heatmap, and an action plan, as one interactive HTML report.

ABM0

Ryan Iyengar

fullstackgtm.comCEO & Founder, Full Stack GTM

Build an ABM signal watchlist

Use this skill for ongoing monitoring across a fixed target-account list; use trigger-based-outbound when evaluating one already-detected event. Produces a resolved account watchlist, signal definitions, stakeholder coverage plan, ranked action queue, and learning loop.

ABM26

Katya Tarapovskaia

youstellar.comHead of Marketing & AI Solutions @ YouStellar

Account intelligence analyst

Use this skill when you need deep-dive account research, buying committee mapping, or an executive briefing for an individual target account — account research, call preparation, or when asked to "research [company]", "prepare for a call with [account]", "what's happening at [company]", "build account briefing", "who should I talk to at [company]", "map the buying committee", "account plan for [company]", or "brief me on [company] before my meeting". Also trigger when the user uploads a Humantic AI report, Clay export, Apollo export, or any account research data and wants it analysed or turned into an actionable briefing. This skill researches ONE account at a time in depth — not portfolio-level ICP definition or scoring. Prefer this over generic web research when the user names a company and wants sales-relevant intelligence.

ABM2

Gal Tamir

lusha.comDirector of Marketing Operations

Buying group

Map every decision-maker, influencer, and blocker at a target account. Takes a company name or domain plus a deal stage or research context. Returns verified contacts classified by buying role, coverage gaps by function, departure flags, and ranked next actions — all shaped by where you are in the deal. Requires a Lusha connection.

ABM0

Ivan Falco

frontal.soAds Engineer @ Frontal

ABM measurement framework

Use this skill when measuring ABM success — account-stage metrics instead of lead metrics, attribution models, ROI formulas, and benchmarks for account-based programs.

ABM29

Ivan Falco

frontal.soAds Engineer @ Frontal

1:1 ABM ads

Use this skill when running 1:1 ABM ads on LinkedIn — one ad set per named target company, each audience sized and narrowed to the buyers, personalized single-image creatives, and a DRAFT-first campaign build with a script for every step.

ABM24

Steve Armenti

twelfth.agencyFounder @ twelfth agency

Account progression staging

Use this skill when you want attribution that measures whether GTM activity actually moves accounts forward — not touchpoint "credit." It assigns each account a single current progression stage (Unaware → Aware → Engaged → Qualified → Sales Ready → Customer) from its full signal stack using deterministic, auditable rules, so the same inputs always produce the same stage and every assignment is explainable from the evidence that triggered it. Progression is measured at the account level with a buying-group gate — advancement requires multiple distinct contacts, never one power user — so a single loud champion can't fake momentum. Each run applies exactly one stage tag, records a stage-entry event with an evidence snapshot and time-in-prior-stage, updates the running stack in account memory, and routes a Sales-Ready alert with buying-group context and a recommended next action. Because it writes stage history, it turns attribution into delta-versus-baseline: conversion rate and velocity per stage transition, exposed cohort vs. control — so budget goes to what drives stage movement, not what drives clicks. Every threshold is exposed as a tunable default. Use it for stage assignment, progression tracking, "why is this account here?" explainability, stuck-account activation lists, and Sales-Ready routing.