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Creating a Sense of Urgency to Close High Ticket Offers
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Using Storytelling to Communicate the Benefits of a High Ticket Product or Service
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Generating an Opinion About Communicating the Value of a High Ticket Product or Service
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Research and Identify Potential High-Value Clients and Leads
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Using the Power of Urgency to Close a High Ticket Offer
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How Can You Use the \
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Using the Power of Liking Principle to Close a High Ticket Offer
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Using the Power of Authority Principle to Close a High Ticket Offer
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Using the Commitment and Consistency Principle to Close a High Ticket Offer
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Using the Assumptive Close Technique to Close a High Ticket Offer
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Using Fake Scarcity to Close a High Ticket Offer
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Effective Strategies for Handling Objections When Selling a High Ticket Offer
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What is “prompt engineering”?
A “prompt” is the input that guides a generative AI model to generate useful outputs. Generative AI tools like ChatGPT, GPT, DALL·E 2, Stable Diffusion, Midjourney, etc. all require prompting as their input.

In a natural language processing (NLP) context, “prompt engineering” is the process of discovering inputs that yield desirable or useful results. As is the story with any processes, better inputs yield better outputs; or commonly said another way “garbage in, garbage out.”


Become a prompt researcher instead of engineer
- If you’re already a subject matter expert in something, consider figuring out how to apply your personal skills to generating the best prompts in your field
- For example, if you’re an expert in SEO, what questions do you ask yourself when creating SEO strategies? How can you translate this knowledge into better prompts to generate the same level of output with AI?
Become a prompt researcher instead of engineer
- The term prompt engineer glosses over the idea that prompt formulation takes hypothesizing, research, result measurement, and repetition. Instead, approach prompting like a research project.
- Try as many different variations and formulations of your prompt as possible. One problem can have hundreds of solutions and one solution can have hundreds of approaches. The same can be said of prompting.