Library/Negotiation, Procurement & Closing/Discount & Concession Management/Reframe Price as Cost-Per-Outcome
TestedNegotiation, Procurement & ClosingQuick Win (under 10 min)
About this prompt
This prompt reframes a prospect's stated price concern by calculating and presenting cost-per-outcome metrics — cost per rep, per closed deal, per recovered hour — that make the investment feel proportional to the result. It's designed for late-stage price objections where the rep needs to shift the frame from total cost to unit economics. Use it before a negotiation call where price is the stated obstacle.Price objections are almost always comparison problems — the prospect is comparing your price to an abstraction (cheap alternative, doing nothing) rather than to the outcome value. This prompt calculates cost-per-outcome from the deal numbers and the prospect's stated or inferred success metrics, then presents three or four ways to frame the price relative to what they get back. The math is transparent and presented in language a CFO can use internally to justify the investment. Fill in the specific price point, the outcome metric the prospect cares about most, and the scale at which they'll deploy the solution. Best used in combination with a ROI business case — the cost-per-outcome reframe works at the end of a negotiation when the buyer has already accepted the value proposition but is still anchored on total cost.The prompt
A prospect is fixated on the total cost of [YOUR SOLUTION] at [PRICE]. Help me reframe the price-per-outcome to make the cost feel trivial.
1. Calculate cost-per-outcome: If they achieve [METRIC], wha
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Variables to replace
YOUR SOLUTION|PRICE|METRIC|USER/TRANSACTION/HOUR SAVED/DEAL|X WEEKS|AMOUNT|TIMEFRAME
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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