Library/Account Research & Buyer Intelligence/Buying Signals & Intent Data/Build a B2B Account Scoring Model for Your Offer
TestedAccount Research & Buyer IntelligenceQuick Win (under 10 min)
About this prompt
This prompt builds a simple account scoring model for prioritizing outreach by generating a 1-100 rubric across six dimensions: ideal fit, intent signals, urgency drivers, budget likelihood, ease of access to the right contacts, and expansion potential. Use it when you have more accounts in your territory than you can work and need a repeatable framework for deciding where to invest time.Ad-hoc account prioritization wastes rep time on accounts that will never close — a scoring model fixes that. Provide your [offer description] and [ICP definition] to get a rubric with defined criteria and point allocations for each of the six dimensions, plus guidance on where to draw the threshold between active pursuit and lower-priority nurture. Use this over a general ICP refinement prompt when you need a quantitative framework that a manager can review and an SDR can apply consistently. Tip: weight urgency and ease-of-access most heavily in the model — a perfect-fit account with no urgency signal and no known contact will cost far more time than a slightly-less-fit account where you have a warm champion and a known decision timeline.The prompt
Build a simple B2B account scoring model for [offer]. Use fit, intent, urgency, budget likelihood, ease of access, and expansion potential. Give a scoring rubric from 1–100.
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Variables to replace
OFFER
How to run it
- Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
- Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
- Make it yours — run it, keep what's strong, and tighten your inputs on the next pass. The prompt improves with your context.
What good output looks like
Make it yours
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