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.
How to Use A/B Testing to Improve Email Readability
How to use A/B testing to improve the readability of your emails.
The Impact of A/B Testing on the Success of Your Email Loyalty Campaigns
The impact of A/B testing on the success of your email loyalty campaigns.
Understanding the Benefits of A/B Testing for Email Win-Back Campaigns
The benefits of using A/B testing to improve the performance of your email win-back campaigns.
The Impact of A/B Testing on Response Rate for Email Surveys
The impact of A/B testing on the response rate to your email surveys.
The Impact of A/B Testing on the Overall Customer Experience with Emails
The impact of A/B testing on the overall customer experience with your emails.
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.
The Role of A/B Testing in Personalizing Your Email Content
The role of A/B testing in personalizing your email content.
Using A/B Testing to Optimize Email Deliverability
How to use A/B testing to optimize email deliverability.
The Impact of A/B Testing on Email Click-Through Rates
The impact of A/B testing on email click-through rates.
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.
How Can A/B Testing Help Me Figure Out the Appropriate Email Frequency for My Campaigns?
How can A/B testing help me figure out the appropriate email frequency for my campaigns?
Optimizing A/B Test Results with Segmentation
How can I use segmentation to optimize my email A/B test results?
Ensuring Statistical Significance in Email A/B Tests
How can I ensure that my email A/B test results are statistically significant?
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?
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?
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?
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?
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?
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?
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?
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.