Create unique email with ChatGPT

Search and store tool for Chat GPT Prompt

Create unique and engaging email with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content. Whether you need a professional email for work or a personal one for friends and family, ChatGPT can help you craft the perfect message. Say goodbye to writer's block and hello to effortless communication with ChatGPT.

Optimizing Email HTML and CSS for Better Renderability with A/B Testing

How can I use A/B testing to optimize my email's HTML and CSS for better renderability across different email clients?

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Using A/B Testing to Improve Email Call-to-Action (CTA) Buttons

How can I use A/B testing to improve my email call-to-action (CTA) buttons?

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Optimizing A/B Test Results with Segmentation

How can I use segmentation to optimize my email A/B test results?

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Avoiding Common Mistakes in Email A/B Tests

What are some common mistakes to avoid when conducting email A/B tests?

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Ensuring Statistical Significance in Email A/B Tests

How can I ensure that my email A/B test results are statistically significant?

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Using Multivariate Testing to Optimize Images and Graphics in Email Campaigns

How can I use multivariate testing to optimize the use of images and graphics in my email campaigns?

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Using A/B Testing to Determine the Best Email Images and Graphics for Campaigns

How can I use A/B testing to determine the best email images and graphics for my campaigns?

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Determine the Best Email Format for Your Campaigns with A/B Testing

How can I use A/B testing to determine the best email format (e.g. HTML, plain text) for my campaigns?

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Determining the Best Email Layout and Design Using A/B Testing

How can I use A/B testing to determine the best email layout and design?

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Using A/B Testing to Determine the Optimal Send Time for Emails

How can I use A/B testing to determine the best send time for my emails?

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Best Practices for Setting Up and Conducting A/B Tests for Email Campaigns

What are some best practices for setting up and conducting A/B tests for email campaigns?

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Using Email Marketing Data to Segment Your Email List and Improve Engagement

How can I use email marketing data to segment my email list and improve engagement?

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How Can I Use Email List Building to Improve the ROI of My Email Marketing Campaigns?

How can I use email list building to improve the ROI of my email marketing campaigns?

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Strategies for Using Email Content Upgrades to Build an Email List

What are the most effective strategies for using email content upgrades to build my email list?

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How Can I Use Email Personalization to Segment My Email List and Improve Engagement?

How can I use email personalization to segment my email list and improve engagement?

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Best Practices for Improving Email List Building with Email Marketing Data

What are the best practices for using email marketing data to improve email list building?

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Generating an Opinion about Email Marketing Automation Tools for Segmenting Email Lists

How can I use email marketing automation tools to segment my email list?

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Best Practices for Using Email Personalization to Improve Email List Building

What are the best practices for using email personalization to improve email list building?

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How to Segment Your Email List Using Email Opt-in Forms

What are the most effective ways to use email opt-in forms to segment my email list?

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Best Practices for Using Email Lead Magnets to Improve Email List Building

What are the best practices for using email lead magnets to improve email list building?

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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.