account-selection

Featured

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".

AI & Automation 49 stars 14 forks Updated 4 days ago MIT

Install

View on GitHub

Quality Score: 90/100

Stars 20%
57
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Account Selection & Tiering ## 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 =...

Details

Author
LeadMagic
Repository
LeadMagic/gtm-skills
Created
3 months ago
Last Updated
4 days ago
Language
Python
License
MIT

Bundled in these plugins

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Listed

target-account-list

Use when the user wants to build or prioritize a target account list — which accounts to go after, scored by fit. Also use when the user mentions target accounts, ICP fit scoring, account prioritization, ABM list, named accounts, tiering accounts, lead scoring by firmographics, or "who should we sell to first." Produces a fit-scored, tiered account list (A/B/C) with the scoring rationale and the signals each account matched.

0 Updated 1 months ago
sarojkjha
AI & Automation Featured

abm-1-to-many

Execute Programmatic ABM (1-to-many) for 50-200+ accounts — automated personalization, scaled outbound, lookalike expansion. Triggers on: "1-to-many ABM", "programmatic ABM", "scaled ABM", "automated ABM".

49 Updated 4 days ago
LeadMagic
AI & Automation Listed

abm-ops

Account-based marketing for B2B SaaS. Use this skill to build a target account list, tier it 1:1 / 1:few / 1:many, size it against sales capacity, turn intent and engagement signals into plays, write the multi-channel orchestration contract each tier runs on, and measure the program in account coverage, penetration and pipeline instead of MQLs. Also triggers on: ABM, account-based marketing, target account list, TAL, named accounts, account tiering, 1:1 ABM, one-to-few, programmatic ABM, account selection, ideal customer profile fit, intent data, buying signals, 6sense, Bombora, Demandbase, account penetration, account coverage, sales and marketing alignment on accounts, enterprise account program.

12 Updated today
shalintripathi