Create unique A/B Testing with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging A/B Testing with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
The Benefits of Using A/B Testing to Optimize Email Sends
The benefits of using A/B testing to optimize the frequency of your email sends.
A/B Testing for Finding the Most Effective Email Call to Action
How can A/B testing be used to find my emails' most effective call to action?
Using A/B Testing to Optimize Email Campaigns
How can I use A/B testing to optimize my email campaigns for different segments?
Understanding A/B Testing for Email Segmentation Strategies
How can A/B testing be used to discover the optimal segmentation strategy for my emails?
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?
How Can A/B Testing Be Used to Find the Ideal Time to Send My Emails?
How can A/B testing be used to find the ideal time to send my emails?
A/B Testing for Optimal Email Subject Lines
How can A/B testing be used to get the optimal subject line for my emails?
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?
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?
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?
Validating Hypotheses and Iterating Designs Using A/B Testing and Experimentation Techniques
How can I use A/B testing and other experimentation techniques to validate my hypotheses and iterate on my designs?
Using A/B Testing to Optimize Email Social Proof and User-Generated Content
How can I use A/B testing to optimize my email's use of social proof and user-generated content?
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?
A/B Testing to Optimize Email Personalization Tokens and Merge Tags
How can I use A/B testing to optimize my email's use of personalization tokens and merge tags for better relevance?
Optimizing Email Mobile Responsiveness Using A/B Testing
How can I use A/B testing to optimize my email's mobile responsiveness for better engagement on mobile devices?
Determining the Best Email Preheader for Campaigns Using A/B Testing
How can I use A/B testing to determine the best email preheader for my campaigns?
The Power of A/B Testing in Landing Page Conversion Optimization
How can I use A/B testing to improve my landing page's conversion rate?
Using A/B Testing to Test Different Email Authentication Methods for Improved Deliverability
How can I use A/B testing to test different email authentication methods such as SPF, DKIM, and DMARC to improve deliverability?
Using A/B Testing to Improve Design
How can I use A/B testing to improve the design
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?
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.