Create unique opinion leaders with ChatGPT
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Create unique and engaging opinion leaders with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
Creating a Marketing Campaign Using the Diffusion of Innovation Model

Please write a [type of text] outlining a marketing campaign using the diffusion of innovation model to predict and shape the adoption of [product/service] among [ideal customer persona]. Identify the [early adopters] and [late majority] within the target audience and create messaging and offers that appeal to their unique needs and motivations. Also, consider the role of [opinion leaders] and how...
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.