Prepare for a renewal negotiation with a customer pushing for a discount
A negotiation plan for a renewal call, with your walk-away points, value evidence, and trade-offs to offer instead of discounts.
The prompt
Help me prepare for a renewal negotiation.
Account: [PRODUCT, CURRENT CONTRACT VALUE, TERM, RENEWAL DATE]
What they're asking for: [e.g. "20% discount", "fewer seats at same price", "monthly instead of annual"]
Their stated reason: [e.g. budget cuts, low usage, competitor quote, new procurement team]
Value delivered so far: [RESULTS, USAGE DATA]
Usage reality: [seats used vs. purchased, key features adopted or not]
My approval limits: [maximum discount, terms I can change, who approves exceptions]
Competitive threat: [known alternatives they're considering]
Give me:
1. What's really driving the request, and questions to confirm it before I respond.
2. My position: target outcome, acceptable outcome, walk-away point.
3. Value evidence to lead with, framed in their business terms.
4. Trade-offs to offer instead of a straight discount (e.g. longer term, prepayment, case study, right-sizing seats, phased price, added services), each with what I ask for in return.
5. Responses to the toughest lines they're likely to use.
6. A call plan: opening, sequence, and how to close with clear next steps.
7. Red flags that mean the renewal is actually at risk and I should involve leadership.
Do not recommend concessions beyond my approval limits. Mark any number I haven't given you as [CONFIRM].
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Sales prompts
What to fill in
- PRODUCT, CURRENT CONTRACT VALUE, TERM, RENEWAL DATE
- RESULTS, USAGE DATA
- seats used vs. purchased, key features adopted or not
- maximum discount, terms I can change, who approves exceptions
- known alternatives they're considering
- CONFIRM
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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