Library/Sales Operations, CRM & Productivity/Performance Improvement & Self-Coaching/Analyze Win/Loss Patterns in Your Deal History
TestedSales Operations, CRM & ProductivityQuick Win (under 10 min)
About this prompt
This prompt analyzes your closed-won and closed-lost deal data to identify the repeating patterns that characterize each outcome — by buyer type, deal size, sales cycle length, and common objections — and generates three prioritized improvement areas for your sales approach. Use it at the end of each quarter to improve targeting and process for the next.Win/loss analysis is most valuable when it identifies actionable patterns rather than individual deal explanations — this prompt generates a pattern analysis that looks across multiple wins and losses to find the two or three factors most consistently associated with each outcome. It covers buyer type patterns (which titles and company types close most reliably), deal size patterns (where does the win rate compress and why), objection patterns (which objections appear most in losses), and process patterns (what stage does most attrition occur). Fill in a description of your closed-won and closed-lost deals from the relevant time period for a pattern analysis that generates prioritized actions for the next quarter rather than a retrospective explanation of the past.The prompt
Compare my closed-won and closed-lost deals from this quarter and identify common patterns in buyer type, deal size, or objections. Using this data, what would you identify as the pattern of my top-pe
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Variables to replace
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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