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6 Innovative ChatGPT Prompts: Developing personalized discount offer campaigns

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6 Strategic ChatGPT Prompts: Developing lead segmentation strategies

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6 Proven ChatGPT Prompts: Developing personalized customer feedback action plans

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5 Proven ChatGPT Prompts: Sending personalized greeting cards

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6 Proven ChatGPT Prompts: Recommending activities

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chatgpt natural language processing personalized recommendations

6 Advanced ChatGPT Prompts: Managing team productivity and performance

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6 Strategic ChatGPT Prompts: Managing employee accommodations

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6 Proven ChatGPT Prompts: Developing goal-setting software

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6 Advanced ChatGPT Prompts: Offering customer retention and loyalty support over the phone

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7 Proven ChatGPT Prompts: Create account-based marketing plan

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6 Strategic ChatGPT Prompts: Providing product recommendations

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6 Innovative ChatGPT Prompts: Conducting wellness assessments

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7 Strategic ChatGPT Prompts: Creating sales scripts

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6 Proven ChatGPT Prompts: Writing client testimonials

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6 Innovative ChatGPT Prompts: Writing client win-back scripts

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6 Advanced ChatGPT Prompts: Crafting multi-step win-back campaigns

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6 Advanced ChatGPT Prompts: Developing lead nurturing personalization frameworks

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6 Advanced ChatGPT Prompts: Writing customer retention emails

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customer retention email generation personalization

6 Strategic ChatGPT Prompts: Crafting drip email campaigns

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6 Strategic ChatGPT Prompts: Creating customer feedback data visualization dashboards

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customer feedback data visualization chatgpt

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.”

![Source: https://www.youtube.com/watch?v=1NQWJjgi-_k

Designing effective and efficient prompts will increase the likelihood of receiving a response that is both favorable and contextual. With a good prompt, you can spend less time editing content and more time generating it.

Going from beginner → advanced prompt engineer

As companies like PromptBase arise around the idea that the prompt is the “secret sauce” to using generative AI, prompt engineering could easily become the “career of the future.” But, any generative AI user can become an “advanced” prompt engineer. Here’s how

Spend time with the tools

The more time you spend asking ChatGPT questions and receiving responses, the better your idea will be of various prompting approaches and their individual strengths and weaknesses
Use Open AI’s GPT playground to perform interactive trial and error with variations in your prompt, model, temperature and top_p values (uniqueness of answer, i.e. creativity), and more available within the UI itself.

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.