Marketing & Sales · Prompt
160 ChatGPT Prompts to Build a High-Ticket Sales Business
A Notion library of 160 prompts across eight sales frameworks.
This is a curated Notion document by James Ebringer containing 160 ChatGPT prompts organized into eight strategic sales categories. It provides ready-to-use prompts for consultative selling, negotiation tactics, and client relationship workflows. It is designed to help sales professionals and founders draft outreach and sales assets without building prompts from scratch.
The prompt
Categories covered (20 prompts each):
1. Consultations
2. Solutions
3. Relationships
4. Values
5. Challenger
6. Strategic
7. Consultative negotiations
8. Collaborations
Included prompting tip: After entering your prompt and receiving a response, say 'Can you elaborate on that?' to get a more comprehensive answer. Ask the same question again and continue to do so until the response is very detailed.
What it's for
- Draft consultative sales questions and pitch frameworks
- Develop negotiation counter-offers and objection-handling scripts
- Create client relationship-building and follow-up sequences
- Flesh out high-ticket offer positioning using Challenger and Strategic sales methods
Key points
- Organized into 8 distinct sales framework categories with 20 prompts each
- Covers Consultations, Solutions, Relationships, Values, Challenger, Strategic, Consultative Negotiations, and Collaborations
- Formatted in a Notion document using collapsible toggle sections for quick navigation
- Includes iterative prompting advice, such as repeatedly asking for elaboration to drill down into detailed responses
Details
- Type
- Prompt
- Category
- Marketing & Sales
- Topic
- Sales Prompts
- Open source
- No
- Platforms
- Web
- For
- High-ticket sales reps, consultants, agency owners, and B2B founders.
- Tags
- chatgpt, prompts, sales, notion, negotiation, b2b
Why it was saved
- @sabrina_ramonov: Provides pre-built prompts to map out consultative sales, negotiation strategies, and relationship-building workflows without having to prompt engineer from scratch.
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Updated