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Prospecting·1,284 installs·Updated 3 days ago

Account Selection

Rank and select target accounts against ICP, intent, and territory fit. Use when the question is “which accounts should we go after?”

Sandeep SinghBy Sandeep Singh · Ramp
SKILL.mdv1.4.0
name:
account-selection
description:
Rank and select target accounts against ICP, intent, and territory fit. Use when the question is “which accounts should we go after?”

Overview

Account selection is the highest-leverage decision in ABM — get it wrong and every downstream play is aimed at the wrong companies. This skill turns a fuzzy “who should we go after?” into a defensible, weighted scoring model.

It segments your TAM into Strategic, Scale, and Programmatic tiers, scores each account against firmographic, technographic, behavioral, and intent signals, and hands back a ranked list your team can act on — with the model documented so anyone can challenge it.

When to use

  • Someone asks “which accounts should we prioritize this quarter?”
  • You’re assigning accounts to tiers or named-account lists
  • You need a scoring model to rank a raw TAM export
  • Territory or book-of-business planning is underway

How it works

  1. 1

    Build the scoring dimensions

    Define the firmographic, technographic, behavioral, and intent signals that actually predict a win for your motion — not a generic ICP checklist.

  2. 2

    Weight and score the TAM

    Assign weights to each dimension, score every account, and normalize so the numbers are comparable across very different company shapes.

  3. 3

    Assign tiers

    Cut the ranked list into Strategic, Scale, and Programmatic tiers by score band, with a clear rationale for each threshold.

  4. 4

    Set the refinement cycle

    Define how often the model is re-scored as new intent fires, so the list stays live instead of going stale the day it ships.

What you get

  • A scored account list, ranked and tier-assigned
  • The weighted scoring model, fully documented
  • Tier definitions with the rationale behind each cut
  • A refinement calendar so the list stays current

Common pitfalls

  • Scoring on firmographics alone — you end up with a list of big logos that will never buy.

    Weight behavioral and intent signals so readiness, not just size, drives the rank.

  • Treating the model as a one-time export.

    Re-score on a cycle so fresh intent moves accounts up and down.

  • Hiding the weights, so sales can’t trust or challenge the tiers.

    Ship the documented model alongside the list.