Library/Account Research & Buyer Intelligence/Buying Signals & Intent Data/Score In-Market Likelihood for a Target Account
TestedAccount Research & Buyer IntelligenceSame-Day Use (under 30 min)
About this prompt
This prompt helps AEs and SDRs assess how likely a specific company is to be actively evaluating your solution category right now. It structures a scoring matrix across hiring signals, intent data, news triggers, budget cycles, and executive changes — and returns a composite score with prioritization guidance. Use it to sequence your outreach effort and avoid wasting top-tier personalization on low-readiness accounts.Prioritizing outreach effort requires a structured read of which accounts are actually in-motion versus just in your ICP — this prompt builds that signal scoring system. Plug in the account name and observable signals (job postings, Glassdoor reviews, LinkedIn activity, news mentions, intent data) and it evaluates each signal on a 1-3 scale and returns a composite in-market score. Accounts scoring above a threshold get personalized outreach; accounts below get held for nurture or dropped from the sequence. The scoring logic is fully transparent, so reps can explain their prioritization decisions to managers. Update the signal weights quarterly to reflect which indicators have been most predictive for your business.The prompt
Help me determine whether [COMPANY NAME] is actually in-market for [YOUR SOLUTION CATEGORY] right now. Score their in-market likelihood based on these signals:
SIGNAL SCORING (1-3 each):
- They are a
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Variables to replace
COMPANY NAME|YOUR SOLUTION CATEGORY|RELEVANT ROLE|SCORE|NAME|PASTE WHAT YOU KNOW
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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