Create unique effective with ChatGPT

Write a marketing campaign outline using the 'Growth Team Framework' to build a cross-functional team with the skills and expertise needed to drive growth for our [product/service] and describe how you would establish clear roles, responsibilities, and processes to support it. Include specific tactics and metrics you would use to measure the effectiveness of this approach.

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Generate an Opinion about the Content of the Input Using the Growth Scaling Framework

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Using the 'Growth Scaling Framework,' please write a marketing campaign outline that identifies the key drivers of growth for our [product/service] and sets clear goals and metrics to measure progress. Describe how you would implement a scalable growth strategy and include specific tactics and metrics you would use to measure the effectiveness of this approach.

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Write a Marketing Campaign Outline Using the 'Lean UX Cycle' Framework

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Write a marketing campaign outline using the 'Lean UX Cycle' framework to identify user needs for our [product/service] and rapidly prototype and test design solutions to meet those needs. Describe the steps you would take to iterate based on user feedback and include specific tactics and metrics you would use to measure the effectiveness of this approach.

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Determining the Effectiveness of Email Referral Leaderboard Programs

How do I determine the effectiveness of my email referral leaderboard programs?

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Determining the Effectiveness of Email White Paper Promotions

How do I determine the effectiveness of my email white paper promotions?

email white paper promotions effectiveness determine

Determining the Effectiveness of Email Cross-Promotion Campaigns with Partners

How do I determine the effectiveness of my email cross-promotion campaigns with partners?

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Determining the Effectiveness of First-Time Customer Welcome Emails

How do I determine the effectiveness of my email first-time customer welcome emails?

email customer welcome effectiveness determine

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.