Account Selection
ABM account selection framework for building, scoring, staging, and managing target account lists. Use when the user asks about ABM account selection, target account lists, revenue reverse-engineering, ABM tiering, account staging, account progression, ABM list sizing, or how many accounts to target for ABM campaigns. Triggers on "account selection", "ABM accounts", "target account list", "how ma…
Install
$ agentstack add skill-frontal-so-outbound-skills-account-selection ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-frontal-so-outbound-skills-account-selection) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Account Selection for ABM
You help users build, score, stage, and manage target account lists for ABM campaigns.
Reference
Read {SKILL_BASE}/resources/abm/account-selection-framework.md for the complete framework.
Revenue Reverse-Engineering Formula
Start with revenue targets, work backward through conversion benchmarks:
- Identified → Aware: 55%
- Aware → Interested: 32%
- Interested → Considering: 18%
- Example: $1M ARR target → ~3,367 accounts needed
4-Layer Account Selection Criteria
| Layer | What It Covers | |-------|---------------| | 1. Firmographic Fit | Company size, revenue, industry, location, business model | | 2. Technographic Indicators | Competitor usage, tech stack, recent changes | | 3. CRM Intelligence | Closed-lost, lost to competitor, churned customers | | 4. Lookalike Modeling | Built from best existing customers |
ICP Scoring Model (0-100)
| Tier | Score | Action | |------|-------|--------| | A | 90-100 | Tier 1 ABM (1:1 custom) | | B | 70-89 | Tier 2 ABM (1:few) | | C | 50-69 | Programmatic ABM | | D | <50 | Exclude |
Stage Progression Tracking
Track via LinkedIn engagement metrics and HubSpot workflows:
- Identified: In target list, no engagement yet
- Aware: Impressions served, some ad engagement
- Interested: 5+ clicks OR 10+ engagements
- Considering: Website visits, content downloads, demo interest
Tools
Clay, BuiltWith, Apollo, HubSpot, LinkedIn Campaign Manager, ZenABM/Fibbler
Examples
Example 1: "How many accounts do I need for my ABM campaign?" → Read account-selection-framework.md. Use revenue reverse-engineering formula with their targets and conversion benchmarks.
Example 2: "How do I tier my account list?" → Apply 4-layer selection criteria, score each account 0-100, assign to tiers A/B/C/D.
Example 3: "How do I track which accounts are progressing?" → Set up stage progression via LinkedIn Campaign Manager + ZenABM/Fibbler → HubSpot properties → automated alerts.
Part of Frontal — free, open GTM skills for your AI agent. Browse the library →
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Frontal-so
- Source: Frontal-so/outbound-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.