← ClaudeAtlas

market-account-prioritizerlisted

Build a defensible target-account or ABM list using a two-gate screen — first a market/segment attractiveness-and-readiness screen, then an account-level scoring screen — instead of jumping straight to naming accounts. Use whenever a user is building an ABM program, a target account list, a territory plan, or prioritizing which segments/accounts to pursue with sales or marketing effort. Trigger this whenever someone proposes an account list, a "who should we target" question, or an ABM program without first having screened the market/segment level — an account list built without that screen inherits "who could buy" waste that no amount of account-level scoring fixes afterward.
christopherswarup/portfolio · ★ 0 · AI & Automation · score 60
Install: claude install-skill christopherswarup/portfolio
# Market & Account Prioritizer Most target-account lists answer the wrong question: "who could plausibly buy this?" That's nearly everyone, which is why the list ends up too big, too generic, and under-resourced per account. The fix is prioritizing in two passes, at two altitudes, in order. ## Inputs to gather **Required:** - A candidate list — either segments/verticals to screen, or named accounts (whichever altitude you're working at) **Helpful, not blocking:** - Any market data on the segments (growth rate, category spend, recent funding/trigger events) - Firmographics on named accounts (size, industry, tech stack, existing relationship if any) - Sales capacity/coverage — who would actually work these accounts, and do they have bandwidth - CRM data completeness on the accounts in question **If none of this is available:** score qualitatively on what's actually known and say so explicitly — don't invent numbers to fill gaps. A segment or account with genuinely unknown data belongs in "needs research," not a guessed score. ## Gate 1 — Market / segment screen (do this first) Score each candidate segment on two axes before naming a single account: **External attractiveness** — is this segment worth entering at all? - Category spend and growth trend in this segment - Live buying triggers (regulation, funding events, leadership change) affecting the segment - Whether leading companies in the segment have already adopted this category - Competitive whitespace — how crowde