Account Selection & Tiering

SkillAI & models

Select and prioritize target accounts for ABM programs — scoring models, tier assignment, TAM segmentation. Triggers on: "account selection", "target account list", "tier accounts", "prioritize accounts", "TAM segmentation".

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Account Selection & Tiering skill

What this skill tells your AI

The instructions your AI receives, as published by leadmagic/gtm-skills in skills/abm/account-selection/SKILL.md and read by ahel’s review.

Overview

Account selection is the hardest part of ABM. Pick wrong and you waste 6 months. Pick right and you 3x your close rate. This skill builds a weighted scoring model to tier your TAM into Strategic, Scale, and Programmatic accounts.

Authoritative Foundations

  • TOPO Account Selection — Named methodology governing recommendations in this skill's process.
  • WbD ICP Framework — Named methodology governing recommendations in this skill's process.
  • ITSMA — Account-Based Marketing — Tier-based ABM (1:1 / 1:few / 1:many); measure pipeline from target accounts, not lead volume.
  • Lars Nilsson (Cloudera/Snowflake) — ABSD signal-based account selection — ABSD signal-based account selection

When to Use

  • "Which accounts should we target?"
  • "Tier our target account list"
  • "Build an account scoring model"
  • "Prioritize our TAM for ABM"

Step-by-Step Process

Phase 1: Build Scoring Model

Weight each dimension (must total 100 points):

Firmographic Fit (35 pts):

  • Industry match (0-10): Direct ICP industry = 10, adjacent = 5, outside = 2
  • Employee count (0-10): In sweet spot = 10, near = 5, outside = 2
  • Revenue range (0-10): In sweet spot = 10, near = 5, outside = 2
  • Geography (0-5): Target region = 5, acceptable = 3, outside = 1

Technographic Fit (25 pts):

  • Current tech stack (0-15): Complementary tools present = 15, some = 8, none = 2
  • Integration potential (0-10): High integration value = 10, medium = 5, low = 2

Behavioral Signals (25 pts):

  • Website visits (0-10): Frequent, multi-page = 10, some = 5, none = 2
  • Content engagement (0-10): Downloads, webinar attendance, newsletter = score by recency
  • Social engagement (0-5): LinkedIn follows, comments, shares

Intent & Trigger (15 pts):

  • Hiring signals (0-5): Role related to your product = 5
  • Funding event (0-5): Recent raise = 5
  • Tech change (0-5): Evidence of switching or evaluating

Phase 2: Tier Assignment

  • Tier 1 (>80): 5-15 accounts. Immediate sales + marketing investment.
  • Tier 2 (60-79): 15-50 accounts. Scaled ABM plays.
  • Tier 3 (40-59): 50-200 accounts. Programmatic nurture.
  • Below 40: Not ABM. Generic inbound/outbound only.

Phase 3: Ongoing Refinement

  • Idle whitespace pull (ABSD): filter high-fit prospects with zero prior business and zero open pipeline — that list is the targeted-outbound campaign queue (skills/abm/abm-strategy/references/lars-nilsson-absd.md)
  • Monthly: Re-score based on new signals
  • Quarterly: Review tier assignments, promote/demote accounts
  • After wins: Analyze what made winners score high — adjust weights
  • After losses: Add disqualifying signals discovered in lost deals

Output Format

Scored account list with tier assignments, scoring model documentation, and a refinement calendar.

Quality Check

Before delivering, verify:

  • All required sections are complete
  • Output matches the user's stated need
  • Named frameworks are cited for key recommendations
  • No vague claims — every recommendation has a specific action
  • Deliverable is ready for operational use, not just conceptual

Common Pitfalls

  1. Treating ABM as a marketing-only initiative. ABM requires tight sales alignment. Without BDRs assigned to specific accounts and shared account briefs, marketing produces content nobody uses. Fix: weekly ABM standups with marketing + BDRs + AEs.
  2. One-size-fits-all tiering. Applying the same playbook to Tier 1 and Tier 3 accounts. Fix: Tier 1 gets custom content and executive engagement; Tier 3 gets automated personalization.
  3. Measuring ABM on MQLs. ABM success is pipeline from target accounts, not lead volume. Fix: track coverage %, engagement depth, pipeline created, and win rate by tier.

Execution Artifacts

  • references/framework-notes.md — named frameworks, citation anchors, and operating assumptions
  • templates/output-template.md — copy-paste deliverable structure for the user
  • scripts/check-output.py — local checklist validator for required sections This skill includes lightweight artifacts the agent can load on demand: Use the artifacts when the user asks for an implementation-ready deliverable, a repeatable workflow, or a quality check rather than generic advice.

Implementation Depth

Use this section when the user asks for a finished asset, not a high-level explanation.

Diagnostic Questions

  1. What is the primary motion: founder-led, sales-led, product-led, partner-led, or lifecycle-led?
  2. Which ICP tier is the output for: small business, mid-market, enterprise, or mixed?
  3. What proof is available today: customer stories, usage data, third-party validation, screenshots, or none?
  4. What system will execute the work: CRM, sequencer, warehouse, support desk, product analytics, or manual workflow?
  5. What decision will the user make from this output: launch, prioritize, route, rewrite, score, coach, or measure?

Framework Application

Map the recommendation explicitly to the named frameworks in this skill:

  • TOPO Account Selection: apply only the part that directly improves the requested deliverable.
  • WbD ICP Framework: apply only the part that directly improves the requested deliverable.
  • ITSMA — Account-Based Marketing: apply only the part that directly improves the requested deliverable.
  • Lars Nilsson ABSD signal-based selection: apply only the part that directly improves the requested deliverable.

Deliverable Standard

A strong output from this skill includes:

  • A crisp diagnosis of the current situation
  • A recommended path with tradeoffs, not a generic list
  • A concrete artifact the user can use immediately: table, script, checklist, scorecard, sequence, dashboard spec, or implementation plan
  • A measurement plan with leading and lagging indicators
  • Risks and edge cases called out before execution

Adaptation Rules

  • For small business: reduce complexity, shorten time-to-value, and prioritize owner/operator clarity.
  • For mid-market: include workflow ownership, handoffs, integrations, and enablement assets.
  • For enterprise: include governance, risk, procurement, stakeholder mapping, and proof requirements.

Related Skills

  • icp-scoring, abm-strategy, signal-scoring, lead-finding, list-building

Signals

GitHub stars
50
Forks
15
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
account-selection
Source
github.com/leadmagic/gtm-skills