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6 Advanced ChatGPT Prompts: Generating personalized lead nurturing content

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6 Advanced ChatGPT Prompts: Crafting lead nurturing KPI dashboards

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chatgpt lead nurturing kpi dashboards

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 Proven ChatGPT Prompts: Creating win-back email campaigns

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6 Advanced ChatGPT Prompts: Writing customer retention emails

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6 Expert ChatGPT Prompts: Generating follow-up call scripts

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6 Strategic ChatGPT Prompts: Crafting drip email campaigns

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6 Proven ChatGPT Prompts: Developing lead nurturing workflows

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6 Innovative ChatGPT Prompts: Conducting research-driven product positioning analyses.

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6 Innovative ChatGPT Prompts: Generating market research ROI analyses

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6 Innovative ChatGPT Prompts: Crafting research-based branding strategies

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6 Innovative ChatGPT Prompts: Developing predictive market analysis models

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6 Innovative ChatGPT Prompts: Writing data-driven customer insights reports

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6 Innovative ChatGPT Prompts: Generating customer psychographic profiles

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6 Proven ChatGPT Prompts: Crafting market research question guides

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6 Proven ChatGPT Prompts: Developing research-based marketing plans

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6 Strategic ChatGPT Prompts: Generating custom research objectives

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chatgpt custom research objectives market research

6 Advanced ChatGPT Prompts: Writing market research summaries

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chatgpt market research data analysis

6 Innovative ChatGPT Prompts: Creating market segmentation models

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chatgpt market segmentation strategy

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.