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Create unique and engaging AMP with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
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Understanding the Benefits of A/B Testing for Email Upsell Campaigns
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The Role of A/B Testing in Improving Automated Email Campaign Performance
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The impact of A/B testing on the success of your re-engagement campaigns.
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The impact of A/B testing on the ROI of your email marketing efforts.
Designing Effective A/B Tests for Email Marketing Campaigns
How to design effective A/B tests for your email marketing campaigns.
The Importance of A/B Testing in Improving Email Campaign Performance
The importance of A/B testing in improving the performance of your email campaigns.
A/B Testing and Email Content Optimization for Campaigns
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Recommended Practices for Establishing and Carrying Out A/B Tests for Email Campaigns
What are some recommended practices for establishing and carrying out A/B tests for email campaigns?
Understanding A/B Testing to Improve Email Campaigns
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Understanding A/B Testing and Multivariate Testing for Email Campaigns
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Optimizing Call-to-Action and Buttons in Email Campaigns with Multivariate Testing
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Using Multivariate Testing to Optimize Email Campaign Personalization and Segmentation
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Generating an Opinion about Multivariate Testing for Email Campaigns
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How to Use A/B Testing to Determine the Best Email Subject Lines for Campaigns
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Determining the Best Email Length for Campaigns using A/B Testing
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Using A/B Testing to Determine the Best Email Frequency for Campaigns
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How to Use A/B Testing to Determine the Best Email Content for Campaigns
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Understanding Email List Segmentation and Its Benefits for Email Campaign Metrics
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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.