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6 Innovative ChatGPT Prompts: Developing personalized discount offer campaigns

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

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6 Strategic ChatGPT Prompts: Creating personalized video follow-ups

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6 Advanced ChatGPT Prompts: Developing lead nurturing personalization frameworks

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6 Strategic ChatGPT Prompts: Developing lead segmentation strategies

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6 Proven ChatGPT Prompts: Conducting lead scoring analysis

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6 Advanced ChatGPT Prompts: Writing customer retention emails

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6 Strategic ChatGPT Prompts: Crafting drip email campaigns

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6 Proven ChatGPT Prompts: Developing personalized customer feedback action plans

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6 Innovative ChatGPT Prompts: Developing customer retention campaigns

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6 Expert ChatGPT Prompts: Crafting feedback request emails

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6 Proven ChatGPT Prompts: Crafting proposal content personalization frameworks

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6 Innovative ChatGPT Prompts: Developing interactive product demos

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6 Innovative ChatGPT Prompts: Developing retargeting ad campaigns

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6 Strategic ChatGPT Prompts: Designing email templates for campaigns

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6 Strategic ChatGPT Prompts: Crafting targeted outreach emails

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7 Strategic ChatGPT Prompts: Writing prospecting emails

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6 Advanced ChatGPT Prompts: Creating Promo Strategies

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6 Expert ChatGPT Prompts: Writing Performance Reports

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4 Advanced ChatGPT Prompts: Personalizing Messages For Influencers

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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.”

![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.