Library/Deal Strategy & Stakeholder Management/Objection Handling & Risk Reduction/Write Feel-Felt-Found Price Objection Response
TestedDeal Strategy & Stakeholder ManagementSame-Day Use (under 30 min)
About this prompt
This prompt helps AEs and Inside Sales reps respond to a 'too expensive' objection by using the feel-felt-found technique to validate the concern, pivot to the quantified cost of the prospect's problem, and reframe the price as an investment with a clear return. It produces a conversational response suitable for email or a live call, ending with an open-ended question that refocuses the conversation on the problem rather than the price. Use it when you've already quantified the prospect's pain in discovery and a price objection surfaces in evaluation or negotiation.This prompt solves for the most common rep mistake when a price objection appears: defending the price instead of making the price irrelevant. The feel-felt-found structure does that by shifting the comparison from your price versus a competitor's price to your price versus the cost of the unresolved problem. The three inputs are tightly coupled and must be accurate: [prospect's stated pain point] should come directly from what they said in discovery, not a category-level description; [quantified value of solving the pain point] must be a number the prospect accepted as credible during the call — if they pushed back on your estimate, use their revised number; and [our solution cost] is your actual price, not a range. The included example — $100K solution against $500K in annual engineer turnover costs — illustrates how the math should work: your price should be a fraction of the quantified problem cost for this technique to land. Use this prompt only after discovery has produced a specific, agreed-upon number for the cost of inaction; if that number doesn't exist yet, the prompt itself calls this out — quantify the pain first. The final question in the output is intentional: ending on 'is solving this one of your top priorities?' forces a yes-or-no commitment that is more useful than any price negotiation.The prompt
Use Case: To respond to a price objection ("it's too expensive") by reframing the conversation around value and the cost of inaction, rather than defending the price. Input Required: [prospect's state
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Variables to replace
PROSPECT'S STATED PAIN POINT | QUANTIFIED VALUE OF SOLVING THE PAIN POINT | OUR SOLUTION COST
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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