Create unique optimization with ChatGPT

Search and store tool for Chat GPT Prompt

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

Creating Calls-to-Action that are Easy to Tap on Mobile Devices

How can I make sure my calls-to-action are easy to tap on mobile devices?

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Using Email Content Optimization Techniques to Improve Email Deliverability

How can I use email content optimization techniques to improve my email deliverability?

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Creating an Email Template Optimized for Deliverability and Engagement

How can I create an email template that is optimized for deliverability and engagement?

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Creating an Email Template Optimized for High Deliverability and Engagement

How can I create an email template that is optimized for both high deliverability and high engagement?

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Making Email Templates Mobile-Responsive

How can I make my email templates mobile-responsive?

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Using A/B Testing to Improve Email Template Performance

How can I use A/B testing to improve the performance of my email templates?

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Creating an Email Template Optimized for Mobile Devices

How can I create an email template that is optimized for mobile devices?

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Optimizing Email Templates Using A/B Testing

How can I use A/B testing to optimize my email templates?

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The Benefits of A/B Testing to Optimize the Use of Incentives in Emails

The benefits of using A/B testing to optimize the use of incentives in your emails.

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How to Use A/B Testing to Optimize the Use of Images in Your Emails

How to use A/B testing to optimize the use of images in your emails.

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The Role of A/B Testing in Determining the Optimal Email Subject Line

The role of A/B testing in determining the optimal subject line for your emails.

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How Can A/B Testing Be Used to Find the Optimum Email Layout and Design?

How can A/B testing be used to find the optimum email layout and design?

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A/B Testing for Optimal Email Subject Lines

How can A/B testing be used to get the optimal subject line for my emails?

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Optimizing Email Delivery and Engagement with A/B Testing and Edge Computing/5G Technology

How can I use A/B testing to optimize my email's use of edge computing and 5G technology for faster delivery and better engagement?

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Optimizing Email Voice and Chatbot Technology with A/B Testing

How can I use A/B testing to optimize my email's use of voice and chatbot technology?

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Using A/B Testing to Optimize Email Analytics and Tracking Pixels

How can I use A/B testing to optimize my email's use of analytics and tracking pixels for better data collection?

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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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Optimizing A/B Test Results with Segmentation

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

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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 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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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.