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Create unique and engaging chatGPT with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
6 Innovative ChatGPT Prompts: Drafting sales pitches
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6 Strategic ChatGPT Prompts: Developing lead nurturing ABM campaigns
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6 Proven ChatGPT Prompts: Crafting custom lead nurturing chatbot scripts
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6 Proven ChatGPT Prompts: Creating lead nurturing performance optimization frameworks
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6 Proven ChatGPT Prompts: Generating lead nurturing data integration workflows
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6 Proven ChatGPT Prompts: Writing data-driven lead nurturing email templates
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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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6 Proven ChatGPT Prompts: Creating win-back email campaigns
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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: 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: Creating custom survey sampling plans
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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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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.