Create unique measure success with ChatGPT

Search and store tool for Chat GPT Prompt

Create unique and engaging measure success with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.

Generate an Opinion About the Content of the Input Using the 'Customer Development Process' Framework

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Using the 'Customer Development Process' framework, please write a marketing campaign outline that identifies and validates customer needs for our [product/service] and describes how you would build and test prototypes to meet those needs. Outline the steps you would take to iterate based on customer feedback and include specific tactics and metrics you would use to measure success.

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Measuring Email Subject Line Success with Metrics

How can I use metrics to measure the success of my email subject lines?

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Measuring the Success of Email Campaigns on Mobile Devices

How can I measure the success of my email campaigns on mobile devices?

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Using Metrics to Measure the Success of an Email Loyalty Program

How can I use metrics to measure the success of my email loyalty program?

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Measuring the Success of Your Email Sales Funnel with Metrics

How can I use metrics to measure the success of my email sales funnel?

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Using Email Deliverability Metrics to Track and Measure Success

How can I use email deliverability metrics to track and measure success?

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Understanding Email Marketing Analytics to Track and Measure Email Campaign Success

How can I use email marketing analytics to track and measure the success of my email campaigns?

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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.